投稿時間:2023-06-10 01:28:15 RSSフィード2023-06-10 01:00 分まとめ(35件)

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IT	気になる、記になる…	｢ドラクエ｣シリーズのスマホ向け新作タイトル｢ドラゴンクエストチャンピオンズ｣、6月13日よりサービス開始へ	https://taisy0.com/2023/06/10/172820.html	開始	2023-06-09 15:19:01
IT	気になる、記になる…	【セール】スマホ版｢ドラゴンクエストVIII｣が31％オフに（3日間限定）	https://taisy0.com/2023/06/10/172815.html	通常価格	2023-06-09 15:07:39
IT	InfoQ	Embracing Complexity by Asking Questions, Listening, and Building a Shared Understanding	https://www.infoq.com/news/2023/06/embracing-complexity/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=global	Embracing Complexity by Asking Questions Listening and Building a Shared UnderstandingWhen dealing with an environment that feels complex people commonly look for ways to reduce variability and increase control for dealing with complexity An alternative approach is to embrace complexity by acknowledging that it exists asking questions and listening and constructing a shared understanding based on different perspectives This lets us improve how we adapt on an ongoing basis By Ben Linders	2023-06-09 15:12:00
AWS	AWS Architecture Blog	Simulating Kubernetes-workload AZ failures with AWS Fault Injection Simulator	https://aws.amazon.com/blogs/architecture/simulating-kubernetes-workload-az-failures-with-aws-fault-injection-simulator/	Simulating Kubernetes workload AZ failures with AWS Fault Injection SimulatorIn highly distributed systems it is crucial to ensure that applications function correctly even during infrastructure failures One common infrastructure failure scenario is when an entire Availability Zone AZ becomes unavailable Applications are often deployed across multiple AZs to ensure high availability and fault tolerance in cloud environments such as Amazon Web Services AWS Kubernetes …	2023-06-09 15:33:16
AWS	AWS	AWS in Orbit - E1 Safe railways, healthy forests with LiveEO	https://www.youtube.com/watch?v=43xNHTZQBrw	AWS in Orbit E Safe railways healthy forests with LiveEOLearn how LiveEO uses AWS to take make live satellite data more useful by quickly storing large amount of data and apply machine learning models AWS and LiveEO help keep railways safe across more than kilometers miles of track in Germany while helping Deutsche Bahn support sustainability reduce its carbon footprint and improve life on Earth Reimagine your space missions with AWS Subscribe More AWS videos More AWS events videos Do you have technical AWS questions Ask the community of experts on AWS re Post ABOUT AWSAmazon Web Services AWS is the world s most comprehensive and broadly adopted cloud platform offering over fully featured services from data centers globally Millions of customers ーincluding the fastest growing startups largest enterprises and leading government agencies ーare using AWS to lower costs become more agile and innovate faster LiveEO AWS AmazonWebServices CloudComputing	2023-06-09 15:24:39
python	Pythonタグが付けられた新着投稿 - Qiita	AIコードジェネレーターとTDDって親和性高くない、、、？という疑問を解決してみた	https://qiita.com/the13-HK/items/df1c1c5f0d0fb043e71f	githubcopilot	2023-06-10 00:48:53
js	JavaScriptタグが付けられた新着投稿 - Qiita	【初心者】export defaultのあとに勝手にawait import(’vue)).definecomponentと記述されてしまう問題	https://qiita.com/rkrk_web/items/786f537d934c1fbf0dd4	thisisvirtual	2023-06-10 00:38:11
Ruby	Rubyタグが付けられた新着投稿 - Qiita	Rubyで Amazon SP-API の初歩レベルの認証を突破するためのメモ	https://qiita.com/wutai00/items/26c98ea53e5ded7139b7	errorsmessage	2023-06-10 00:43:18
AWS	AWSタグが付けられた新着投稿 - Qiita	AWS Cloud Practitioner取得まで道のり	https://qiita.com/sans_ite/items/36686af3c7b05f120759	awscloudpractitioner	2023-06-10 00:30:21
技術ブログ	Developers.IO	【アップデート】AWS Security Hub のセキュリティ標準に新たに6個のチェック項目が追加されました(2023/6/6)	https://dev.classmethod.jp/articles/securityhub-6-new-controls-2023-6-6/	ashissan	2023-06-09 15:04:48
海外TECH	MakeUseOf	What Is a Parasocial Relationship? How to Engage Online in a Healthy Way	https://www.makeuseof.com/how-to-communicate-online-healthily/	engage	2023-06-09 15:30:19
海外TECH	MakeUseOf	How to Make Titanfall 2 Playable Again With the Northstar Launcher	https://www.makeuseof.com/make-titanfall-2-playable-northstar-launcher/	northstar	2023-06-09 15:30:19
海外TECH	MakeUseOf	5 Vital Security Tips For Smarter Smartphone Banking	https://www.makeuseof.com/tag/5-vital-security-tips-for-smarter-smartphone-banking/	account	2023-06-09 15:30:19
海外TECH	MakeUseOf	The Best New Features Coming to Your Apple TV With tvOS 17	https://www.makeuseof.com/best-new-apple-tv-features-tvos-17/	The Best New Features Coming to Your Apple TV With tvOS tvOS brings FaceTime calls to the big screen a revamped Control Center VPN and VoIP support content creation via Continuity Camera and more	2023-06-09 15:15:18
海外TECH	MakeUseOf	How to Disable VBS to Increase Performance in Windows 11	https://www.makeuseof.com/windows-11-disable-vbs/	performance	2023-06-09 15:15:18
海外TECH	DEV Community	Qnotly - VSCode Extension	https://dev.to/hady_eslam/qnotly-vscode-extension-1277	Qnotly VSCode Extension IntroductionHello Dev to Community I am Very happy to announce the launch of Qnotly in Producthunt Qnotly Launch page Qnotly is a vscode extension to take notes on your code and save it for later use This will help you to write notes in code so you can list them and see them for later You Can Save QNote by highlighting the code you write and right click and choose Save Qnote and when you click on the file it will show you all Qnotes that exist in this file You can even delete them if you want This Extension will help you to right your own comments or notes about the code without writing comments in the code also it will help you to remember why this code exists by looking into your Qnotes in this file This project still has more areas for improvement and I would love to hear from you if you have any feedback new feature etc this will be a great help for me to improve this extension and be more stable for use Also can you help in upvoting and using it in producthunt This will be a great help for me ResourcesProducthunt Launch Page Launch PageTo find the extension in vscode market Extension in marketGithub Repo Qnotly Vscode ExtensionTo Request a Feature Or Report Bug Go To Qnotly Vscode ExtensionDo not hesitate to contact me if you want anything abdoaslam gmail com	2023-06-09 15:42:30
海外TECH	DEV Community	Awesome SQL Code Review Tools for Developers	https://dev.to/documatic/awesome-sql-code-review-tools-for-developers-50c4	Awesome SQL Code Review Tools for DevelopersDatabase icons created by juicy fish Flaticon IntroductionIn the world of software development SQL Structured Query Language is a fundamental tool for managing and manipulating data within relational databases Writing good SQL code helps you better query the database For this we definitely have to review the code at regular intervals We have discussed a lot about code review in the previous article You can look at those articles here In those articles we have discussed code review in general with programming But in this article we are going to look into a particular language that is SQL So today we are going to look into some of the tools that can help you in reviewing SQL code These tools will assist in a variety of domain that is related to SQL such as code analysis formatting refactoring and code documentation What is SQL and the importance of Code Review SQL stands for Structured Query Language It is a standard programming language used for managing and manipulating relational databases It has various syntaxes and commands for performing different tasks in the database It can include creating quering modifying and administrating the database In short it interacts with the database by executing specific queries With its widespread adoption and versatility SQL has become a crucial tool for developers database administrators data analysts and other professionals working with relational databases Importance of Code ReviewCode review is without a doubt one of the crucial parts of software development Let s look from the perspective of SQL in terms of code review With code review you can improve the SQL code It can help in the following Performance Optimizing Removing inefficient query structure and data retrieval can lead to improved query execution time Optimized SQL queries result in faster data retrieval and processing minimizing application latency and enhancing user experience Security and Vulnerability Mitigation Code Review will also help in identifying security vulnerabilities It also leads to the implementation of best practices for securing data Reviewers can detect potential SQL injection points inadequate authentication mechanisms or data exposure risksData Integrity By carefully examining SQL queries reviewers can identify potential data inconsistencies constraint violations or erroneous data modifications Compliance with Standards and Regulations With code review we can check whether the standards and regulations have been implemented properly There SQL PromptWrite format analyze and refactor your SQL effortlesslySQL Prompt is a tool that will enhance your productivity for SQL server management It can help you to write format analyze and refactor SQL code wit more efficiently It can work with SQL Server Management Studio SSMS and Visual Studio It provides a number of features that can help you in writing better code This feature includes Code CompletionIntellisenseFormattingRefactoringAnalysis SQL EnlightDETECT DEFECTS FORMAT AND REFACTOR T SQL CODESQL Enlight is a static code analysis and refactoring tool for SQL Server It helps developers improve their SQL code quality by detecting potential problems such as design flaws performance bottlenecks and security vulnerabilities SQL Enlight can be used to analyze both individual queries and entire databases It can also be integrated with popular development environments such as Visual Studio and SQL Server Management Studio Here are some features of the tool that you look forward to using it Code formattingRefactoringCode AnalysisContinuous Integration SonarLintClean code begins in your IDE with the toolSonarLint is an open source tool that helps in code analysis It has support for various programming languages that also includes SQL It can provide real time feedback on your code It can check for your code quality issues and potential security negligence in your code It can easily be integrated with IDEs like Visual Studio and IntelliJ IDEA gt SonarLint for SQL can help you find the following types of issues Technical debtSecurity vulnerabilitiesPerformance bottlenecksBugs dbForge SQL CompleteAdvanced Autocompletion Pretty SQL Formatting Smart Code RefactoringdbForge SQL Complete is another tool to help you in writing better code It is a commercial tool that offers code completion code formatting and code refactoring for SQL Server MySQL Oracle and other databases It can help you in writing faster better and more reliable SQL code Here are the features that youIntelliSenseCode formattingCode refactoringSQL code analysis ConclusionIt is important to refactor your code As a developer we might not see some errors in your code With tools that are available we can do this with more ease We can automate the refactoring code with these tools By automating the process of finding and fixing errors these tools can help to improve the quality of code reduce the risk of data corruption and improve the overall performance of database applications The above list of tools is kind of similar and unique in each way They perform identical tasks of code formatting and refactoring especially for SQL tools But how are they integrated into your workspace is different I will recommend you use each to find what suits you the best I hope this article has provided you with a valuable list of tools for SQL code review Thanks for reading the article	2023-06-09 15:30:00
海外TECH	DEV Community	My Experiences with Mobile Projects: React Native vs. Flutter	https://dev.to/rafaellevissa/my-experiences-with-mobile-projects-react-native-vs-flutter-o68	My Experiences with Mobile Projects React Native vs  FlutterIntroductionIn this article I would like to share my experiences with mobile projects and discuss the challenges and differences between using React Native and Flutter Mobile projects require specific skills and knowledge of mobile design patterns In this article I will focus on hybrid development which involves using a single codebase for both Android and iOS platforms Development EnvironmentChoosing the Development Machine I prefer coding on a MacBook due to its performance advantages It allows me to use both the Android Studio emulator for simulating Android devices and the native Xcode emulator on macOS for simulating iPhones iPads and other Apple products Choosing the IDE Despite recommendations from other mobile developers I personally feel more comfortable using VSCode as my IDE Coming from a web development background I find it easier to work with due to familiarity I can also install plugins that assist me during coding Testing on Physical Devices To test the application while coding I prefer using a physical device connected to my computer For Android I can compile the code using Wi Fi by connecting both devices to the same network For iOS I initially require a cable for the first compilation but can subsequently use a wireless connection Technology ChoicesReact Native In my experiences I started with React Native which felt natural to me as I come from a web development background Having used JavaScript in Node js and React js it was easier for me to transition to React Native I also brought over some componentization techniques from web development For CSS frameworks I found them helpful for styling the pages Flutter With Flutter I noticed that the components and libraries were more distributed compared to React Native It required a different approach but being natively compiled it offered its advantages Project StructureIn mobile development I typically divide the project structure into the following layers Domain Layer Contains the business rules and logic Data Layer Handles connections to the backend or serverless databases and offline data storage Presentation Layer Includes the visual components and screens I prefer a decoupled architecture that allows an extra layer for field validation between the presentation and data layers Typed DevelopmentIn mobile development I highly recommend using a strongly typed structure In React Native I find the use of TypeScript beneficial while Flutter has built in support for it Typed development provides better type control and allows for the application of design patterns more seamlessly especially for developers with a background in languages like Java and C AuthenticationThe choice of authentication approach depends on the project requirements and infrastructure Using a backend API with JWT authentication is a common approach for microservices architecture and follows modern trends Services like Google Firebase Authenticator provide centralized authentication especially for companies already using Google Cloud Platform GCP However relying on cloud based authentication services can create additional work if the company decides to switch cloud providers State ManagementReact Native In my experience I found Redux and Redux Toolkit to be the most effective for managing global and specific states in React Native projects Storing session data in storage is generally discouraged from an information security perspective Flutter In Flutter finding reliable and well functioning libraries can be challenging Each additional library or dependency adds to the project s responsibility requiring continuous updates and compatibility considerations It s worth noting that in some cases coding on top of the native Android or iOS projects may be necessary for specific features and gestures as they differ between platforms Offline First Ensuring App Functionality Without Internet ConnectionBefore discussing my experiences with specific databases it s important to understand the concept of Offline First The Offline First approach prioritizes designing applications to work seamlessly even without an internet connection This is particularly crucial for mobile applications as network connectivity can be unreliable or unavailable in certain situations By adopting an Offline First strategy developers aim to provide a smooth user experience regardless of the user s online or offline status Now let s explore two databases that facilitate offline functionality in mobile apps WatermelonDBIn one of my projects I implemented the Offline First approach using WatermelonDB WatermelonDB is a database designed specifically for offline data synchronization in mobile and web applications It enables developers to store data locally on the mobile device allowing the app to function smoothly even when there is no internet connection available WatermelonDB provides a performant and reliable solution for offline data persistence ensuring that users can access and modify data even in offline scenarios Real Time Database from Google Cloud Platform  GCP In another project I leveraged the Real Time Database from Google Cloud Platform to achieve offline functionality The Real Time Database enables real time synchronization of data across multiple devices This means that changes made by one user on their device are instantly reflected on other devices connected to the same database even without an active internet connection The Real Time Database from GCP proved to be valuable for applications that require immediate data updates and seamless collaboration among users regardless of their online or offline status By utilizing these databases I was able to incorporate offline functionality into my mobile applications providing users with uninterrupted access to important data and ensuring a positive user experience even when an internet connection is not available Native Development with Kotlin and Swift in Hybrid CodebasesIn hybrid mobile app development where a single codebase is shared across multiple platforms there are instances when it becomes necessary to incorporate native code using platform specific languages like Kotlin and Swift Here s an explanation of when and why native coding is required in hybrid codebases Performance Intensive TasksCertain tasks such as complex animations heavy computations or accessing low level device features may require maximum performance and efficiency In such cases leveraging the native capabilities and performance optimizations offered by Kotlin for Android and Swift for iOS can deliver superior results compared to cross platform solutions Platform Specific UI ComponentsEach platform has its unique set of UI components and design guidelines While cross platform frameworks often provide a wide range of UI components there might be instances where platform specific UI elements are necessary to achieve a native look and feel By utilizing Kotlin and Swift developers can directly implement platform specific UI components to deliver a seamless and consistent user experience Accessing Platform Specific APIsCertain platform specific APIs such as camera access push notifications or in app purchases may not be fully exposed or supported by cross platform frameworks In such cases integrating Kotlin or Swift code allows developers to directly interact with these APIs and take advantage of the latest platform features ensuring a richer app experience for users Code Reusability and MaintenanceDespite the benefits of native coding it s important to maintain code reusability and minimize code duplication in hybrid codebases Careful consideration should be given to identify areas where platform specific code is truly necessary while keeping the majority of the codebase shared and platform agnostic This approach helps reduce maintenance efforts and ensures efficient collaboration among developers working on different platforms Bridging Native and Hybrid CodeTo incorporate Kotlin or Swift code into a hybrid codebase developers can utilize platform specific bindings or bridges provided by cross platform frameworks These bridges act as intermediaries allowing communication between the native and hybrid layers of the app By effectively bridging the gap between native and hybrid code developers can seamlessly integrate platform specific functionality while maintaining a unified codebase Leveraging Native Libraries and SDKsAnother advantage of incorporating native code is the ability to leverage existing native libraries and SDKs Kotlin and Swift have extensive ecosystems with numerous third party libraries and APIs that can enhance app functionality By tapping into these resources developers can benefit from the rich ecosystem of native tools and solutions available for their respective platforms When carefully planned and implemented the incorporation of Kotlin and Swift code in hybrid codebases can offer the best of both worlds code reusability and platform specific optimizations It allows developers to achieve high performance platform native experiences while maximizing code sharing and minimizing maintenance efforts Pipelines and DevOps for Mobile App DevelopmentMobile app development often involves multiple teams and a continuous integration and delivery CI CD pipeline to streamline the development testing and deployment processes Implementing DevOps practices can significantly improve the efficiency and quality of mobile app development Here s an overview of the pipeline and DevOps considerations Source Code ManagementUsing a version control system VCS like Git is essential for mobile app development It allows multiple developers to work collaboratively tracks changes and enables effective code management Common practices include creating feature branches enforcing code review and using Git workflows such as GitFlow Build AutomationAutomating the build process ensures that app builds are consistent and reproducible across different environments Tools like Gradle for Android and Fastlane for iOS provide powerful automation capabilities allowing you to define build configurations manage dependencies and handle code signing and provisioning profiles Continuous Integration CI CI involves automatically building and testing the app whenever changes are pushed to the repository This ensures early detection of issues and facilitates a faster feedback loop Popular CI platforms like Jenkins Travis CI and CircleCI can be integrated with your VCS to trigger builds run tests and generate reports Automated TestingAutomated testing plays a vital role in mobile app development to catch bugs ensure functionality and maintain a high quality user experience Various types of tests including unit tests integration tests and UI tests can be automated using frameworks like XCTest for iOS and Espresso for Android Continuous testing can be integrated into the CI pipeline to run tests automatically on each code change Deployment and DeliveryEfficient deployment and delivery processes are critical for releasing updates and new features to users Mobile app deployment involves distributing app builds to internal testers beta testers and eventually the public Tools like Firebase App Distribution TestFlight and Google Play Console provide features for managing different deployment tracks and gathering user feedback Continuous Deployment CD Continuous deployment automates the release of app updates to app stores or over the air OTA distribution channels It ensures a fast and seamless delivery process reducing time to market and enabling rapid iterations CD pipelines can integrate with app store publishing APIs code signing mechanisms and release management platforms to streamline the deployment workflow Monitoring and AnalyticsMonitoring app performance and user behavior is crucial for making data driven decisions and identifying potential issues Incorporating mobile analytics tools like Firebase Analytics Google Analytics or custom analytics solutions can provide valuable insights into app usage crashes and user engagement Monitoring solutions can also help track app performance server side issues and API dependencies By implementing a well defined CI CD pipeline and leveraging DevOps principles mobile app development teams can streamline collaboration automate repetitive tasks and deliver high quality apps more efficiently Dependency Management Balancing and Considerations for Low Performance DevicesWhen developing mobile applications it s common to rely on third party libraries and dependencies to enhance functionality streamline development and save time However it s crucial to carefully consider the impact of these dependencies particularly when it comes to running the app on low performance devices Here are some key points to keep in mind Evaluate the NecessityBefore adding a new dependency to your project it s essential to evaluate its necessity Consider whether the functionality provided by the dependency is critical to your app s core features and if it significantly improves the user experience If the dependency isn t essential or doesn t contribute significantly to your app s value proposition it may be worth reconsidering its inclusion especially if it could potentially impact performance on low end devices Impact on App Size and ResourcesEvery dependency added to your project increases the overall app size and resource utilization This can have a noticeable impact on low performance devices with limited storage and processing power Evaluate the size of the dependency and its resource requirements to ensure they are within acceptable limits for your target devices Minimizing the size and resource footprint of your app can help improve its performance on low end devices Performance ConsiderationsCertain dependencies may introduce additional overhead and performance bottlenecks especially if they rely on resource intensive operations or complex algorithms It s crucial to thoroughly test the app s performance with the added dependencies particularly on low performance devices Monitor factors such as app launch time responsiveness and overall smoothness of the user interface If performance degradation is observed you may need to optimize or find alternative solutions to mitigate the impact on low end devices Compatibility and VersioningDependencies can also introduce compatibility issues especially when different libraries rely on conflicting versions of shared components It s important to carefully manage dependency versions and resolve any conflicts that may arise Additionally consider the compatibility of the dependencies with your target devices and operating system versions Ensure that the libraries you choose are optimized for low performance devices and have a track record of stable performance User Experience Trade offsAdding dependencies to your project should always be a trade off between functionality and performance While certain dependencies may provide valuable features they can also introduce complexity and potential performance issues It s crucial to strike a balance between the desired functionality and the performance requirements of your target devices Consider whether the added features justify the potential trade offs in terms of app performance especially on low performance devices Testing on Low Performance DevicesTo gain a comprehensive understanding of how your app performs on low end devices it s important to conduct thorough testing on such devices during the development process This will help identify any specific performance issues related to the added dependencies and enable you to optimize or make informed decisions about their inclusion in your project By carefully considering the necessity impact on app size and resources performance implications compatibility and user experience trade offs of adding dependencies you can make informed decisions that prioritize the performance and functionality of your app even on low performance devices Build and Publication Process Getting Your App into App StoresOnce the development of your mobile app is complete the next crucial step is to prepare it for distribution by building and publishing it in the respective app stores Here s an overview of the process and considerations involved Google Play StoreTo publish your app on the Google Play Store you ll need a Google Play Developer account Your employer or team lead should have this account set up Here are the key steps involved in the process App Registration Your employer or team lead will need to register the app on the Play Console This involves providing essential details such as app functionality description screenshots and contact information As the developer you may be required to provide assets like app screenshots running on various Android devices App Build When using React Native or Flutter generating the necessary build files APK or AAB for the app is relatively straightforward However additional configurations such as app version description and contact details need to be specified in the build configuration files Submission Once you have the build files ready they can be uploaded to the Play Console It s crucial to ensure the build files are thoroughly tested before submission The Play Console provides guidelines and requirements to ensure your app meets quality standards and follows app store policies Apple App StorePublishing an app on the Apple App Store requires an Apple Developer account and access to a macOS device Here are the general steps involved App Registration Your employer or team lead should create an Apple Developer account and provide you with the necessary access In the Apple Developer portal you ll need to register your app including details such as app functionality description screenshots and contact information App Build To generate the necessary IPA file for iOS you ll need a macOS device The app build process typically involves configuring certificates provisioning profiles and other necessary settings Familiarity with Xcode and Swift is beneficial when dealing with Apple s requirements and technologies Submission After successfully building the app you can submit it to the App Store using App Store Connect Apple s platform for managing app submissions Similar to the Play Store thorough testing and adherence to Apple s guidelines are essential It s worth mentioning that both Google Play Store and Apple App Store have their own review processes and guidelines The review process ensures that apps meet quality standards adhere to policies and are free from malicious content software architecture ConclusionIn conclusion both React Native and Flutter have their strengths and challenges when it comes to mobile development React Native offers a smoother transition for web developers leveraging existing JavaScript knowledge and componentization techniques Flutter on the other hand provides a more distributed component and library structure with its advantage of natively compiled code Ultimately the choice depends on the specific project requirements and the developer s familiarity with the technology If you have experience with either or both frameworks we encourage you to share your stories and perspectives in the comments below We would love to hear your insights and contributions to this ever evolving discussion	2023-06-09 15:12:00
海外TECH	DEV Community	SQL, NoSql, and 5 DB types you'll never need	https://dev.to/johnrushx/sql-nosql-and-5-db-types-youll-never-need-3h85	SQL NoSql and DB types you x ll never needHey there fellow codebreakers Grab your favorite snack put on your wizard hat and let me guide you through this journey with a touch of humor sarcasm memes and yes even some solid information Relational The relational database management system is one of the most successful ideas in history Me just nowSELECT FROM users WHERE age gt Relational databases have dominated the scene for decades with SQL ruling them all They use tables to store data making it easy to establish relationships between different entities Oracle dominates enterprise while MySQL backs platforms like YouTube and Facebook But hey It s not perfect let s see what else is out there Key Valuedb set key value Next up key value stores Think Redis or Amazon DynamoDB here These bad boys provide blazing fast access to values based on their keys like looking up someone in your phonebook using their name remember those Great for caching and super scalable Document id name Bob job title CEO company id name MarsX Document based databases like MongoDB store semi structured JSON like data They re super flexible so you can add or remove fields on the fly without losing sleep over schema changes unlike in relational databases Perfect for apps with ever evolving requirements Wide Columnfrom cassandra cluster import Clustercluster Cluster session cluster connect mykeyspace result session execute SELECT FROM users Wide column stores like Apache Cassandra and HBase are designed to store massive amounts of data across multiple nodes Think billions of rows and millions of columns Great for time series data IoT and analytics Big Data nerds rejoice GraphMATCH u User FRIENDS gt f WHERE u name Alice RETURN f Relationship status It s complicated Graph databases like Neoj shine when it comes to handling complex relationships between entities A perfect match for social networks recommendation engines and anything that involves traversing through a web of interconnectedness Search Engineclient search index books body query match phrase prefix title The Hitchhiker s Search engine databases such as Elasticsearch go beyond your average database by offering advanced text search capabilities Find what you need even if you misspell Hitchhiker s Guide to the Galaxy Say goodbye to Ctrl F forever Multi modelLast but not least multi model databases Why choose one paradigm when you can have them all Databases like ArangoDB let you work with key value pairs documents AND graphs It s the Swiss Army Knife of databases and who doesn t want that in their toolbox And there you have it Now go forth and conquer your data challenges with newfound wisdom wit sarcasm and maybe even a few laughs Happy coding Follow me or say hello on twitter johnrushx	2023-06-09 15:08:06
海外TECH	DEV Community	Analyzing the Eurovision Song Contest With Graphs	https://dev.to/memgraph/analyzing-the-eurovision-song-contest-with-graphs-4fgm	Analyzing the Eurovision Song Contest With Graphs IntroductionAfter the Eurovision Song Contest was canceled we are excited about this year s finals more than ever but geeks among us can t just wait around doing nothing Every year Eurovision brings us a fantastic mash up of extravagant outfits catchy songs and bold dance moves Underneath the surface of glitter and rainbows there is a complicated story of geopolitics rivalry and tactics hidden in the collection of interconnected data We will try to untangle strategic voting neighbor preferences and political rivalries with the help of graph analytics Data modelOur dataset is quite simple There are Country nodes with the following properties name capital lat lng and flag The properties lat and lng represent the coordinates of a country s capital city and will be important for visualizing the data on a map The same is true for the flag property Each year s winner and runner up are connected to Winner and RunnerUp nodes respectively with an edge IS that contains the properties year and points The Country nodes are connected with the BORDERS edge if they are neighboring countries VOTE JURY and VOTE TELEVOTE edges have properties year and points VOTE JURY edges represent a number of points given by each country s professional jury and VOTE TELEVOTE edges represent the general public s vote that has been introduced in The voting system has been changed a few times so far but since the winner is determined by votes of the jury and public in an equal split Visualizing the Graph With Memgraph LabYou can find the Eurovision song contest dataset in Memgraph Lab and on Memgraph Playground online Memgraph Lab is an integrated development environment used to import data develop debug and profile database queries and visualize query results Just go to the Datasets tab and load the Eurovision voting results dataset Visualizing data in Memgraph is pretty simple Memgraph Lab automatically detects nodes that have numerical lat and lng properties and displays them on a map You can style the map to your liking by using the Style editor in Memgraph Lab To find out more about the style editor take a look at this tutorial Each country node also has a flag property which is used to display an image You can use the following styling script to display the flags on a map NodeStyle size border width border color ffffff shadow color babbb shadow size NodeStyle Greater Size Labels node label Format Join Labels node NodeStyle HasLabel node Country color dd color hover Darker dd color selected dd NodeStyle HasProperty node name label AsText Property node name EdgeStyle width label Type edge color gray NodeStyle image url Property node flag To get your graph run the following Cypher query MATCH c Country RETURN c If everything works properly you should get a visualization similar to the one below Data analysisSome countries have been more successful than others in producing good music or keeping strong relationships with their neighbors Let s check which country was the most victorious since MATCH c Country i IS w Winner RETURN c name AS Country count i AS Wins ORDER BY Wins DESC Interestingly Ireland and Sweden stay on top despite our dataset being incomplete Coming in second on Eurovision is like nearly winning a medal at the Olympics Let s check the biggest runner ups of Eurovision MATCH c Country i IS r RunnerUp RETURN c name AS Country count i AS RunnerUpORDER BY RunnerUp DESC It seems that the UK is the most notable runner up in history But it s not all about winning There is a special satisfaction in supporting your favorite song and casting a vote Some countries were better than others in predicting a winner or is it just that some have better taste Let s check which countries gave the most points to the winners throughout history MATCH c Country vote VOTE JURY gt Country i IS gt w Winner WHERE vote points AND vote year i yearWITH c COUNT vote points AS pointsRETURN c name AS Country pointsORDER BY points DESC LIMIT But it turns out that it isn t a matter of good or bad taste When we take a look at the list of countries that didn t give any points to winners over the years MATCH c Country v VOTE JURY gt Country i IS gt w Winner WHERE v points AND v year i yearRETURN c name AS Country count v AS WasWrongORDER BY WasWrong DESCLIMIT The UK is again at the top of our list So what s Eurovision voting really about Is having a catchy song really what it takes to win or is there more to it Maybe similar languages or familiar cultures play a role Let s check who fancies who by looking into which countries exchange the most points between each other MATCH c Country v VOTE JURY gt c Country c Country lt v VOTE JURY c Country WHERE v year v yearWITH c name AS Country c name AS Country SUM v points sum v points AS PointsRETURN Country Points CountryORDER BY Points DESC Relationships are symmetrical so for every pair there are two results The number of points calculated is identical in both results but countries switch places It s not surprising that most love is exchanged between neighbors Let s check how number of points from neighbors influenced the choice of winners over the years MATCH w Winner i IS c Country b BORDERS c Country c Country lt v VOTE JURY c Country WHERE i year v yearWITH c name AS Country sum v points AS neighbour points i points AS total pointsRETURN Country round neighbour points total points as Percent of neighbour votes ORDER BY Percent of neighbour votes DESC Looks like France has amazing relationships with its neighbors But is it about quality or quantity First let s find out who has the most neighbors participating in the competition MATCH c Country BORDERS c Country WITH DISTINCT c name AS Neighbor c name as CountryRETURN Country COUNT Neighbor AS Number of neighborsORDER BY Number of neighbors DESC LIMIT Seems like quantity wins in this case France Russia and Germany have the largest number of neighbors and the most significant influence on their victories Let s finish with a specific example of how much geographical location influences the vote Russia was the winner in but how many points would it get if voting for neighbors were forbidden MATCH c Country b BORDERS c Country name Russia c Country v VOTE JURY year gt c Country WITH sum v points AS border vote c name AS nameMATCH Country v VOTE JURY year gt c Country name Russia RETURN c name AS Country sum v points AS Points sum v points border vote AS Points without neighbours That s a significant difference ConclusionThere is a lot more to untangle and explore but as the Grand Final is approaching it s time to stop analyzing After we find out this year s winner we ll update the dataset and come back next year with new and more exciting analysis Until then for more interesting examples of how to use graph analytics to analyze network data visit Memgraph Playground and check out one of the available tutorials You can also download Memgraph Lab and try it out locally Now relax and enjoy all things Eurovision Good night Europe And Good morning Australia	2023-06-09 15:04:08
海外TECH	Engadget	Netflix's password sharing crackdown seems to be working	https://www.engadget.com/netflixs-password-sharing-crackdown-seems-to-be-working-151023478.html?src=rss	Netflix x s password sharing crackdown seems to be workingWhile some users canceled their Netflix accounts after a crackdown on password sharing commenced it seems like the move is paying off for the company According to data from analytics firm Antenna Netflix saw a sharp rise in account sign ups after the rule came into force in the US and many other regions in late May Antenna says Netflix had the four single biggest days of US sign ups in the four and a half years it has tracked this data On May th and th there were almost sign ups each day During each of the four days the company saw an average of new memberships according to Antenna which noted that figure was percent more than the average for the previous days While account cancellations also rose in that period Antenna said sign ups far outpaced those figures This was the biggest increase in new Netflix account sign ups in the US since COVID lockdowns began in March and April of Antenna noted It s worth bearing in mind that this is not official data from Netflix We ll have a clearer idea of how account sharing changes are starting to impact Netflix s bottom line when the company reports its next quarterly earnings likely in mid July However as Yahoo Finance notes Netflix s share price rose after Antenna released the data Engadget has contacted Netflix for comment Netflix started cracking down on account sharing on a trial basis in Latin America before implementing the new rules in Canada New Zealand Portugal and Spain in February In the US subscribers now need to pay an extra per month for viewers who access the account from outside the primary household though you can still watch when you re away from home Users have the option to transfer an existing profile to a new account to keep all their preferences and data intact This article originally appeared on Engadget at	2023-06-09 15:10:23
海外TECH	CodeProject Latest Articles	Cross Platform AES 256 GCM Encryption / Decryption	https://www.codeproject.com/Articles/1265115/Cross-Platform-AES-256-GCM-Encryption-Decryption	decryption	2023-06-09 15:42:00
金融	金融庁ホームページ	信用金庫連合会及び最終指定親会社に関する「レバレッジ比率規制に関する府省令及び告示の一部改正（案）」等に対するパブリック・コメントの結果等について公表しました。	https://www.fsa.go.jp/news/r4/ginkou/20230609/20230609.html	信用金庫連合会	2023-06-09 17:00:00
金融	金融庁ホームページ	株式会社ユニオン証券アドバイザーズに対する行政処分について公表しました。	https://www.fsa.go.jp/news/r4/shouken/20230609.html	株式会社ユニオン	2023-06-09 16:00:00
金融	金融庁ホームページ	FTX Japan株式会社に対する行政処分について公表しました。	https://www.fsa.go.jp/news/r4/sonota/20230609/20230609.html	ftxjapan	2023-06-09 16:00:00
ニュース	BBC News - Home	Nadine Dorries: Former minister stands down as Tory MP	https://www.bbc.co.uk/news/uk-politics-65860564?at_medium=RSS&at_campaign=KARANGA	effect	2023-06-09 15:40:53
ニュース	BBC News - Home	Mirror Group apologises to soap star for using investigators	https://www.bbc.co.uk/news/uk-65856719?at_medium=RSS&at_campaign=KARANGA	nikki	2023-06-09 15:46:59
ニュース	BBC News - Home	Salford e-bike rider, 15, killed in ambulance crash was kindest boy, mum says	https://www.bbc.co.uk/news/uk-england-manchester-65854332?at_medium=RSS&at_campaign=KARANGA	ambulance	2023-06-09 15:06:04
ニュース	BBC News - Home	France stabbing: Toddlers stable after Annecy attack, Macron says	https://www.bbc.co.uk/news/world-europe-65858926?at_medium=RSS&at_campaign=KARANGA	attack	2023-06-09 15:22:45
ニュース	BBC News - Home	E-bikes: What is the law and is there an age limit?	https://www.bbc.co.uk/news/uk-65855198?at_medium=RSS&at_campaign=KARANGA	rules	2023-06-09 15:32:31
ニュース	BBC News - Home	Heat health alert in force as parts of UK to hit 30C	https://www.bbc.co.uk/news/uk-65853411?at_medium=RSS&at_campaign=KARANGA	forecasters	2023-06-09 15:11:19
GCP	Cloud Blog	What’s new with Google Cloud	https://cloud.google.com/blog/topics/inside-google-cloud/whats-new-google-cloud/	What s new with Google CloudWant to know the latest from Google Cloud Find it here in one handy location Check back regularly for our newest updates announcements resources events learning opportunities and more  Tip  Not sure where to find what you re looking for on the Google Cloud blog Start here  Google Cloud blog Full list of topics links and resources Week of June June TMI Shifting Down Not Left The first post in our new modernization series The Modernization Imperative Here Richard Seroter talks about the strategy of shifting down and relying on managed services to relieve burdens on developers  Cloud Econ The first in a new series on optimizing cloud tools to achieve greater return on your cloud investments Join us biweekly as we explore ways to streamline workloads and explore successful cases of aligning technology goals to drive business value Global External HTTP S Load Balancer and Cloud CDN s advanced traffic management using flexible pattern matching is now GA This allows you to use wildcards anywhere in your path matcher You can use this to customize origin routing for different types of traffic request and response behaviors and caching policies In addition you can now use results from your pattern matching to rewrite the path that is sent to the origin Dataform is Generally Available Dataform offers an end to end experience to develop version control and deploy SQL pipelines in BigQuery Using a single web interface data engineers and data analysts of all skill levels can build production grade SQL pipelines in BigQuery while following software engineering best practices such as version control with Git CI CD and code lifecycle management Learn more The Public Preview of Frontend Mutual TLS Support on Global External HTTPS Load Balancing is now available Now you can use Global External HTTPS Load Balancing to offload Mutual TLS authentication for your workloads This includes client mTLS for Apigee X Northbound Traffic using Global HTTPS Load Balancer FinOps from the field How to build a FinOps Roadmap In a world where cloud services have become increasingly complex how do you take advantage of the features but without the nasty bill shock at the end Learn how to build your own FinOps roadmap step by step with helpful tips and tricks from FinOps workshops Google has completed with customers Security Command Center SCC Premium our built in security and risk management solution for Google Cloud is now generally available for self service activation for full customer organizations Customers can get started with SCC in just a few clicks in the Google Cloud console There is no commitment requirement and pricing is based on a flexible pay as you go model  Dataform is Generally Available Dataform offers an end to end experience to develop version control and deploy SQL pipelines in BigQuery Using a single web interface data engineers and data analysts of all skill levels can build production grade SQL pipelines in BigQuery while following software engineering best practices such as version control with Git CI CD and code lifecycle management Learn more Week of May June Google Cloud Deploy The price of an active delivery pipeline is reduced Also single target delivery pipelines no longer incur a charge Underlying service charges continue to apply See Pricing Page for more details Week of May Security Command Center SCC Premium pricing for project level activation is now lower for customers who use SCC to secure Compute Engine GKE Autopilot App Engine and Cloud SQL Please see our updated rate card Also we have expanded the number of finding types available for project level Premium activations to help make your environment more secure Learn more Vertex AI Embeddings for Text Grounding LLMs made easy Many people are now starting to think about how to bring Gen AI and large language models LLMs to production services You may be wondering How to integrate LLMs or AI chatbots with existing IT systems databases and business data We have thousands of products How can I let LLM memorize them all precisely or How to handle the hallucination issues in AI chatbots to build a reliable service Here is a quick solution grounding with embeddings and vector search What is grounding What are embedding and vector search In this post we will learn these crucial concepts to build reliable Gen AI services for enterprise use with live demos and source code Week of May Introducing the date time selector in Log Analytics in Cloud Logging You can now easily customize the date and time range of your queries in the Log Analytics page by using the same date time range selector used in Logs Explorer Metrics Explorer and other Cloud Ops products There are several time range options such as preset times custom start and end times and relative time ranges For more information see Filter by time in the Log Analytics docs Cloud Workstations is now GA We are thrilled to announce the general availability of Cloud Workstations with a list of new enhanced features providing fully managed integrated development environments IDEs on Google Cloud Cloud Workstations enables faster developer onboarding and increased developer productivity while helping support your compliance requirements with an enhanced security posture Learn MoreWeek of May Google is partnering with regional carriers Chunghwa Telecom Innove subsidiary of Globe Group and AT amp T to deliver the TPU Taiwan Philippines U S cable system ーconnecting Taiwan Philippines Guam and California ーto support growing demand in the APAC region We are committed to providing Google Cloud customers with a resilient high performing global network NEC is the supplier and the system is expected to be ready for service in Introducing BigQuery differential privacy SQL building blocks that analysts and data scientists can use to anonymize their data We are also partnering with Tumult Labs to help Google Cloud customers with their differential privacy implementations Scalable electronic trading on Google Cloud A business case with BidFX Working with Google Cloud BidFX has been able to develop and deploy a new product called Liquidity Provision Analytics “LPA launching to production within roughly six months to solve the transaction cost analysis challenge in an innovative way LPA will be offering features such as skew detection for liquidity providers execution time optimization pricing comparison top of book analysis and feedback to counterparties Read more here AWS EC VMs discovery and assessment mFit can discover EC VMs inventory in your AWS region and collect guest level information from multiple VMs to provide technical fit assessment for modernization  See demo video Generate assessment report in Microsoft Excel file mFit can generate detailed assessment report in Microsoft Excel XLSX format which can handle large amounts of VMs in a single report few s which an HTML report might not be able to handle Regulatory Reporting Platform Regulatory reporting remains a challenge for financial services firms We share our point of view on the main challenges and opportunities in our latest blog accompanied by an infographic and a customer case study from ANZ Bank We also wrote a white paper for anyone looking for a deeper dive into our Regulatory Reporting Platform Week of May Microservices observability is now generally available for C Go and Java This release includes a number of new features and improvements making it easier than ever to monitor and troubleshoot your microservices applications Learn more on our user guide Google Cloud Deploy Google Cloud Deploy now supports Skaffold as the default Skaffold version for all target types Release Notes Cloud Build You can now configure Cloud Build to continue executing a build even if specified steps fail This feature is generally available Learn more hereWeek of April General Availability Custom Modules for Security Health Analytics is now generally available Author custom detective controls in Security Command Center using the new custom module capability Next generation Confidential VM is now available in Private Preview with a Confidential Computing technology called AMD Secure Encrypted Virtualization Secure Nested Paging AMD SEV SNP on general purpose ND machines Confidential VMs with AMD SEV SNP enabled builds upon memory encryption and adds new hardware based security protections such as strong memory integrity encrypted register state thanks to AMD SEV Encrypted State SEV ES and hardware rooted remote attestation Sign up here Selecting Tier networking for your Compute Engine VM can give you the bandwidth you need for demanding workloads Check out this blog on Increasing bandwidth to Compute Engine VMs with TIER networking Week of April Use Terraform to manage Log Analytics in Cloud Logging  You can now configure Log Analytics on Cloud Logging buckets and BigQuery linked datasets by using the following Terraform modules Google logging project bucket configgoogle logging linked datasetWeek of April Assured Open Source Software is generally available for Java and Python ecosystems Assured OSS is offered at no charge and provides an opportunity for any organization that utilizes open source software to take advantage of Google s expertise in securing open source dependencies BigQuery change data capture CDC is now in public preview BigQuery CDC provides a fully managed method of processing and applying streamed UPSERT and DELETE operations directly into BigQuery tables in real time through the BigQuery Storage Write API This further enables the real time replication of more classically transactional systems into BigQuery which empowers cross functional analytics between OLTP and OLAP systems Learn more here Week of April Now Available Google Cloud Deploy now supports canary release as a deployment strategy This feature is supported in Preview Learn moreGeneral Availability Cloud Run services as backends to Internal HTTP S Load Balancers and Regional External HTTP S Load Balancers Internal load balancers allow you to establish private connectivity between Cloud Run services and other services and clients on Google Cloud on premises or on other clouds In addition you get custom domains tools to migrate traffic from legacy services Identity aware proxy support and more Regional external load balancer as the name suggests is designed to reside in a single region and connect with workloads only in the same region thus helps you meet your regionalization requirements Learn more New Visualization tools for Compute Engine Fleets TheObservability tab in the Compute Engine console VM List page has reached General Availability The new Observability tab is an easy way to monitor and troubleshoot the health of your fleet of VMs Datastream for BigQuery is Generally Available  Datastream for BigQuery is generally available offering a unique truly seamless and easy to use experience that enables near real time insights in BigQuery with just a few steps Using BigQuery s newly developed change data capture CDC and Storage Write API s UPSERT functionality Datastream efficiently replicates updates directly from source systems into BigQuery tables in real time You no longer have to waste valuable resources building and managing complex data pipelines self managed staging tables tricky DML merge logic or manual conversion from database specific data types into BigQuery data types Just configure your source database connection type and destination in BigQuery and you re all set Datastream for BigQuery will backfill historical data and continuously replicate new changes as they happen Now available  Build an analytics lakehouse on Google Cloud whitepaper The analytics lakehouse combines the benefits of data lakes and data warehouses without the overhead of each In this paper we discuss the end to end architecture which enable organizations to extract data in real time regardless of which cloud or datastore the data reside in use the data in aggregate for greater insight and artificial intelligence AI all with governance and unified access across teams  Download now Week of March Faced with strong data growth Squarespace made the decision to move away from on premises Hadoop to a cloud managed solution for its data platform Learn how they reduced the number of escalations by with the analytics lakehouse on Google Cloud  Read nowLast chance Register to attend Google Data Cloud amp AI Summit  Join us on Wednesday March at AM PDT PM EDT to discover how you can use data and AI to reveal opportunities to transform your business and make your data work smarter Find out how organizations are using Google Cloud data and AI solutions to transform customer experiences boost revenue and reduce costs  Register today for this no cost digital event New BigQuery editions flexibility and predictability for your data cloud  At the Data Cloud amp AI Summit we announced BigQuery pricing editionsーStandard Enterprise and Enterprise Plusーthat allow you to choose the right price performance for individual workloads Along with editions we also announced autoscaling capabilities that ensure you only pay for the compute capacity you use and a new compressed storage billing model that is designed to reduce your storage costs Learn more about latest BigQuery innovations and register for the upcoming BigQuery roadmap session on April Introducing Looker Modeler A single source of truth for BI metrics  At the Data Cloud amp AI Summit we introduced a standalone metrics layer we call Looker Modeler available in preview in Q With Looker Modeler organizations can benefit from consistent governed metrics that define data relationships and progress against business priorities and consume them in BI tools such as Connected Sheets Looker Studio Looker Studio Pro Microsoft Power BI Tableau and ThoughtSpot Bucket based log based metrics ーnow generally available ーallow you to track visualize and alert on important logs in your cloud environment from many different projects or across the entire organization based on what logs are stored in a log bucket Week of March Chronicle Security Operations Feature Roundup Bringing a modern and unified security operations experience to our customers is and has been a top priority with the Google Chronicle team We re happy to show continuing innovation and even more valuable functionality In our latest release roundup we ll highlight a host of new capabilities focused on delivering improved context collaboration and speed to handle alerts faster and more effectively Learn how our newest capabilities enable security teams to do more with less here Announcing Google s Data Cloud amp AI Summit March th  Can your data work smarter How can you use AI to unlock new opportunities Join us on Wednesday March to gain expert insights new solutions and strategies to reveal opportunities hiding in your company s data Find out how organizations are using Google Cloud data and AI solutions to transform customer experiences boost revenue and reduce costs  Register today for this no cost digital event Artifact Registry Feature Preview Artifact Registry now supports immutable tags for Docker repositories If you enable this setting an image tag always points to the same image digest including the default latest tag This feature is in Preview Learn moreWeek of March A new era for AI and Google Workspace  Google Workspace is using AI to become even more helpful starting with new capabilities in Docs and Gmail to write and refine content Learn more Building the most open and innovative AI ecosystem  In addition to the news this week on AI products Google Cloud has also announced new partnerships programs and resources This includes bringing bringing the best of Google s infrastructure AI products and foundation models to partners at every layer of the AI stack chipmakers companies building foundation models and AI platforms technology partners enabling companies to develop and deploy machine learning ML models app builders solving customer use cases with generative AI and global services and consulting firms that help enterprise customers implement all of this technology at scale Learn more From Microbrows to Microservices  Ulta Beauty is building their digital store of the future but to maintain control over their new modernized application they turned to Anthos and GKE Google Cloud s managed container services to provide an eCommerce experience as beautiful as their guests Read our blog to see how a newly minted Cloud Architect learnt Kubernetes and Google Cloud to provide the best possible architecture for his developers Learn more Now generally available understand and trust your data with Dataplex data lineage a fully managed Dataplex capability that helps you understand how data is sourced and transformed within the organization Dataplex data lineage automatically tracks data movement across BigQuery BigLake Cloud Data Fusion Preview and Cloud Composer Preview eliminating operational hassles around manual curation of lineage metadata Learn more here Rapidly expand the reach of Spanner databases with read only replicas and zero downtime moves Configurable read only replicas let you add read only replicas to any Spanner instance to deliver low latency reads to clients in any geography Alongside Spanner s zero downtime instance move service you have the freedom to move your production Spanner instances from any configuration to another on the fly with zero downtime whether it s regional multi regional or a custom configuration with configurable read only replicas Learn more here To prepare for the busiest shopping season of the year Black Friday and Cyber Monday Lowe s relies heavily on Google s agile SRE Framework to ensure business and technical alignment manage bots and create an always available shopping experience Read more Week of March Automatically blocking project SSH keys in Dataflow is now GA This service option allows Dataflow users to prevent their Dataflow worker VMs from accepting SSH keys that are stored in project metadata and results in improved security Getting started is easy enable the block project ssh keys service option while submitting your Dataflow job Celebrate International Women s Day Learn about the leaders driving impact at Google Cloud and creating pathways for other women in their industries Read more Google Cloud Deploy now supports Parallel Deployment to GKE and Cloud Run workloads This feature is in Preview  Read more Sumitovant doubles medical research output in one year using LookerSumitovant is a leading biopharma research company that has doubled their research output in one year alone By leveraging modern cloud data technologies Sumitovant supports their globally distributed workforce of scientists to develop next generation therapies using Google Cloud s Looker for trusted self service data research To learn more about Looker check out Week of Feb Mar Add geospatial intelligence to your Retail use cases by leveraging the CARTO platform on top of your data in BigQueryLocation data will add a new dimension to your Retail use cases like site selection geomarketing and logistics and supply chain optimization Read more about the solution and various customer implementations in the CARTO for Retail Reference Guide and see a demonstration in this blog Google Cloud Deploy support for deployment verification is now GA  Read more or Try the DemoWeek of Feb Feb Logs for Network Load Balancing and logs for Internal TCP UDP Load Balancingare now GA Logs are aggregated per connection and exported in near real time providing useful information such as tuples of the connection received bytes and sent bytes for troubleshooting and monitoring the pass through Google Cloud Load Balancers Further customers can include additional optional fields such as annotations for client side and server side GCE and GKE resources to obtain richer telemetry The newly published Anthos hybrid cloud architecture reference design guideprovides opinionated guidance to deploy Anthos in a hybrid environment to address some common challenges that you might encounter Check out the architecture reference design guidehere to accelerate your journey to hybrid cloud and containerization Week of Feb Feb Deploy PyTorch models on Vertex AI in a few clicks with prebuilt PyTorch serving containers which means less code no need to write Dockerfiles and faster time to production Confidential GKE Nodes on Compute Optimized CD VMs are now GA Confidential GKE Nodes help to increase the security of your GKE clusters by leveraging hardware to ensure your data is encrypted in memory helping to defend against accidental data leakage malicious administrators and “curious neighbors Getting started is easy as your existing GKE workloads can run confidentially with no code changes required Announcing Google s Data Cloud amp AI Summit March th Can your data work smarter How can you use AI to unlock new opportunities Register for Google Data Cloud amp AI Summit a digital event for data and IT leaders data professionals developers and more to explore the latest breakthroughs Join us on Wednesday March to gain expert insights new solutions and strategies to reveal opportunities hiding in your company s data Find out how organizations are using Google Cloud data and AI solutions to transform customer experiences boost revenue and reduce costs  Register today for this no cost digital event Running SAP workloads on Google Cloud Upgrade to our newly released Agent for SAP to gain increased visibility into your infrastructure and application performance The new agent consolidates several of our existing agents for SAP workloads which means less time spent on installation and updates and more time for making data driven decisions In addition there is new optional functionality that powers exciting products like Workload Manager a way to automatically scan your SAP workloads against best practices Learn how to install or upgrade the agent here Leverege uses BigQuery as a key component of its data and analytics pipeline to deliver innovative IoT solutions at scale As part of the Built with BigQuery program this blog post goes into detail about Leverege IoT Stack that runs on Google Cloud to power business critical enterprise IoT solutions at scale  Download white paper Three Actions Enterprise IT Leaders Can Take to Improve Software Supply Chain Security to learn how and why high profile software supply chain attacks like SolarWinds and Logj happened the key lessons learned from these attacks as well as actions you can take today to prevent similar attacks from happening to your organization Week of Feb Feb Immersive Stream for XRleverages Google Cloud GPUs to host render and stream high quality photorealistic experiences to millions of mobile devices around the world and is now generally available Read more here Reliable and consistent data presents an invaluable opportunity for organizations to innovate make critical business decisions and create differentiated customer experiences But poor data quality can lead to inefficient processes and possible financial losses Today we announce new Dataplex features automatic data quality AutoDQ and data profiling available in public preview AutoDQ offers automated rule recommendations built in reporting and serveless execution to construct high quality data  Data profiling delivers richer insight into the data by identifying its common statistical characteristics Learn more Cloud Workstations now supports Customer Managed Encryption Keys CMEK which provides user encryption control over Cloud Workstation Persistent Disks Read more Google Cloud Deploy now supports Cloud Run targets in General Availability Read more Learn how to use NetApp Cloud Volumes Service as datastores for Google Cloud VMware Engine for expanding storage capacity Read moreWeek of Jan Feb Oden Technologies uses BigQuery to provide real time visibility efficiency recommendations and resiliency in the face of network disruptions in manufacturing systems As part of the Built with BigQuery program this blog post describes the use cases challenges solution and solution architecture in great detail Manage table and column level access permissions using attribute based policies in Dataplex Dataplex attribute store provides a unified place where you can create and organize a Data Class hierarchy to classify your distributed data and assign behaviors such as Table ACLs and Column ACLs to the classified data classes Dataplex will propagate IAM Roles to tables across multiple Google Cloud projects according to the attribute s assigned to them and a single merged policy tag to columns according to the attribute s attached to them  Read more Lytics is a next generation composableCDP that enables companies to deploy a scalable CDP around their existing data warehouse lakes As part of the Built with BigQuery program for ISVs Lytics leverages Analytics Hub to launch secure data sharing and enrichment solution for media and advertisers This blog post goes over Lytics Conductor on Google Cloud and its architecture in great detail Now available in public preview Dataplex business glossary offers users a cloud native way to maintain and manage business terms and definitions for data governance establishing consistent business language improving trust in data and enabling self serve use of data Learn more here Security Command Center SCC Google Cloud s native security and risk management solution is now available via self service to protect individual projects from cyber attacks It s never been easier to secure your Google Cloud resources with SCC Read our blog to learn more To get started today go to Security Command Center in the Google Cloud console for your projects Global External HTTP S Load Balancer and Cloud CDN now support advanced traffic management using flexible pattern matching in public preview This allows you to use wildcards anywhere in your path matcher You can use this to customize origin routing for different types of traffic request and response behaviors and caching policies In addition you can now use results from your pattern matching to rewrite the path that is sent to the origin Run large pods on GKE Autopilot with the Balanced compute class When you need computing resources on the larger end of the spectrum we re excited that the Balanced compute class which supports Pod resource sizes up to vCPU and GiB is now GA Week of Jan Jan Starting with Anthos version Google supports each Anthos minor version for months after the initial release of the minor version or until the release of the third subsequent minor version whichever is longer We plan to have Anthos minor release three times a year around the months of April August and December in with a monthly patch release for example z in version x y z for supported minor versions For more information read here Anthos Policy Controller enables the enforcement of fully programmable policies for your clusters across the environments We are thrilled to announce the launch of our new built in Policy Controller Dashboard a powerful tool that makes it easy to manage and monitor the policy guardrails applied to your Fleet of clusters New policy bundles are available to help audit your cluster resources against kubernetes standards industry standards or Google recommended best practices The easiest way to get started with Anthos Policy Controller is to just install Policy controller and try applying a policy bundle to audit your fleet of clusters against a standard such as CIS benchmark Dataproc is an important service in any data lake modernization effort Many customers begin their journey to the cloud by migrating their Hadoop workloads to Dataproc and continue to modernize their solutions by incorporating the full suite of Google Cloud s data offerings Check out this guide that demonstrates how you can optimize Dataproc job stability performance and cost effectiveness Eventarc adds support for new direct events from the following Google services in Preview API Gateway Apigee Registry BeyondCorp Certificate Manager Cloud Data Fusion Cloud Functions Cloud Memorystore for Memcached Database Migration Datastream Eventarc Workflows This brings the total pre integrated events offered in Eventarc to over events from Google services and third party SaaS vendors  mFit release adds support for JBoss and Apache workloads by including fit analysis and framework analytics for these workload types in the assessment report See the release notes for important bug fixes and enhancements Google Cloud Deploy Google Cloud Deploy now supports Skaffold version  Release notesCloud Workstations Labels can now be applied to Cloud Workstations resources  Release notes Cloud Build Cloud Build repositories nd gen lets you easily create and manage repository connections not only through Cloud Console but also through gcloud and the Cloud Build API Release notesWeek of Jan Jan Cloud CDN now supports private origin authentication for Amazon Simple Storage Service Amazon S buckets and compatible object stores in Preview This capability improves security by allowing only trusted connections to access the content on your private origins and preventing users from directly accessing it Week of Jan Jan Revionics partnered with Google Cloud to build a data driven pricing platform for speed scale and automation with BigQuery Looker and more As part of the Built with BigQuery program this blog post describes the use cases problems solved solution architecture and key outcomes of hosting Revionics product Platform Built for Change on Google Cloud Comprehensive guide for designing reliable infrastructure for your workloads in Google Cloud The guide combines industry leading reliability best practices with the knowledge and deep expertise of reliability engineers across Google Understand the platform level reliability capabilities of Google Cloud the building blocks of reliability in Google Cloud and how these building blocks affect the availability of your cloud resources Review guidelines for assessing the reliability requirements of your cloud workloads Compare architectural options for deploying distributed and redundant resources across Google Cloud locations and learn how to manage traffic and load for distributed deployments Read the full blog here GPU Pods on GKE Autopilot are now generally available Customers can now run ML training inference video encoding and all other workloads that need a GPU with the convenience of GKE Autopilot s fully managed Kubernetes environment Kubernetes v is now generally available on GKE GKE customers can now take advantage of the many new features in this exciting release This release continues Google Cloud s goal of making Kubernetes releases available to Google customers within days of the Kubernetes OSS release Event driven transfer for Cloud Storage Customers have told us they need asynchronous scalable service to replicate data between Cloud Storage buckets for a variety of use cases including aggregating data in a single bucket for data processing and analysis keeping buckets across projects regions continents in sync etc Google Cloud now offers Preview support for event driven transfer serverless real time replication capability to move data from AWS S to Cloud Storage and copy data between multiple Cloud Storage buckets Read the full blog here Pub Sub Lite now offers export subscriptions to Pub Sub This new subscription type writes Lite messages directly to Pub Sub no code development or Dataflow jobs needed Great for connecting disparate data pipelines and migration from Lite to Pub Sub See here for documentation	2023-06-09 16:00:00
GCP	Cloud Blog	Designing Multi-regional Internal Load Balancing with Google Cloud iLB + Cloud DNS	https://cloud.google.com/blog/products/networking/load-balancing-inside-public-cloud-options-and-optimizations/	Designing Multi regional Internal Load Balancing with Google Cloud iLB Cloud DNSGoogle Cloud has several load balancer types For internal load balancing within Google Cloud customers have options Internal HTTPS load balancingInternal TCP proxy load balancingInternal TCP UDP load balancingGoogle Cloud internal HTTP S load balancer is a proxy based regional Layer load balancer that enables you to run and scale your services behind an internal IP address Google Cloud internal regional TCP proxy load balancer is a proxy based regional load balancer to host your TCP services Google Cloud internal TCP UDP load balancer is a pass through regional Layer load balancer for TCP or UDP traffic and comes handy in cases where you need to forward the original packets unproxied One of the common themes across all kinds of internal load balancers is that all of them are Regional in nature Regional load balancing is used when your backends are in one region or when you have jurisdictional compliance requirements for traffic to stay in a particular region The following figure depicts the regional behavior of an internal load balancerAnother aspect of internal load balancing is to determine how clients can access the internal load balancer With the global access feature of internal load balancers clients from any region send traffic to services deployed in a specific region via the load balancer Your services can be deployed on Compute Engine Google Kubernetes Engine GKE Cloud Run on premises or in other public clouds and can communicate with clients across the globe using this feature with the Internal HTTP S or TCP proxy Load Balancers The following picture depicts difference between global access feature turned Off vs turned OnWith the global access feature in use it becomes important for users to have a mechanism in place which can direct the user traffic to appropriate internal load balancer based on the health state of regional backend services For example an application owner may need to configure the application behavior in such a way that users from region can automatically switch to internal load balancer if the backend service in region is unavailable unhealthy This is where Cloud DNS comes into play Cloud DNS supports health checks for internal TCP UDP load balancers that have global access enabled For an internal TCP UDP load balancer Cloud DNS gets direct health signals from the individual backend instances and the same thresholding algorithm is applied  The failover routing policy in Cloud DNS lets customers set up active backup configurations With a failover routing policy you can configure primary and backup IPs for a resource record In normal operation Cloud DNS will respond to queries with the IP addresses provisioned in the primary set When all IP addresses in the primary set fail health status changes to unhealthy Cloud DNS starts serving the IP addresses in the backup set  The following example shows the options that a customer is presented with when he she attempts to configure a record set with routing policy in Cloud DNS This is where a customer can configure Primary as well as backup targets based on the client s incoming region Selecting Failover optionFailover imageMore on load balancingTo learn more about load balancing in Google Cloud you can check out the following Hand on codelab Multi region failover using Cloud DNS Routing Policies and Health Checks for Internal TCP UDP Load BalancerYouTube What s new for load balancing and service networkingBlog Connect from anywhere Internal HTTP S Load Balancers are now globally accessibleDocumentation DNS health CheckDocumentation DNS failover PoliciesDocumentation Choose a Load balancerBe sure to check out the economic advantages of Google Cloud Networking and learn more about networking by visiting Related ArticleConnect from anywhere Internal HTTP S Load Balancers are now globally accessibleGlobal access with Internal HTTP S Load Balancer is now GA This feature will allow private clients to access your load balancer s IP ad Read Article	2023-06-09 16:00:00
GCP	Cloud Blog	Announcing general availability of Cloud Firewall threat intelligence and geo-location features	https://cloud.google.com/blog/products/identity-security/announcing-general-availability-of-cloud-firewall-threat-intelligence-and-geo-location-features/	Announcing general availability of Cloud Firewall threat intelligence and geo location featuresGoogle Cloud Firewall is a fully distributed stateful inspection firewall engine that is built into our software defined networking fabric and enforced at each workload With Cloud Firewall you can enhance and simplify security posture and implement Zero Trust networking for cloud workloads  Previously we announced several enhancements and expansions to our Cloud Firewall offering Today we are excited to announce the general availability for the following Cloud Firewall features Threat Intelligence for Cloud Firewall curated threat intelligence lists built and maintained by Google Geo location objects filter traffic based on specific geographic locations  Address groups user defined collection of IPs or IP ranges Local IP ranges granular control for target workloads These features are available in two tiers shown in the graphic below Essentials the foundational set of capabilities and Standard which expands rule capabilities These features can now be activated through the Cloud Console Command Line Interface and API Cloud Firewall Tiers Essentials and StandardThreat Intelligence for Cloud FirewallThreat Intelligence for Cloud Firewall can help identify and block malicious traffic or allow known good traffic for your cloud workloads This feature allows you to enhance your firewall rules with curated lists of threat intelligence data from a combination of Google third party and open source databases These lists are maintained and constantly updated by Google Cloud Threat Intelligence researchers to help keep your firewall rules up to date  For example you can use Threat Intelligence for Cloud Firewall to block known malicious IP addresses to help prevent attackers from reaching your network or allow good traffic from trusted sources such as search engine crawlers Geo location objects IP address ranges are constantly changing around the globe The introduction of geo location objects can allow you to block traffic from designated geographic locations even as the underlying IPs change Google builds and maintains the country to IP address mapping for you helping you reduce cost and effort to maintain this information This helps enable you to enforce compliance with regulations by blocking traffic from certain locations Address groups Address groups can help you simplify setting and maintaining your firewall rules Creating multiple rules that reference the same set of source and or destination IPs is a common firewall management task Previously users needed to separately maintain these IP range sets and manually enter these IP ranges in each rule that references them   Address groups are a collection of IPs or IP range sets With address groups you can maintain your own address group at either project or organization level reuse the same object in multiple different firewall rules and use it in the new network firewall policies This can save you time and effort to manage firewall rules ensure consistency and it can also help to reduce errors by making it easier to understand and troubleshoot your firewall configuration  Local IP rangesFor firewall rule configurations you may specify the target tag or service account for a rule to be applied If there is a tag or service account in the firewall rule configuration then only workloads with the specific tag or service account will be impacted by the rule Previously if you specified a tag or service account then you were unable to further use an IP address of a target workload For example if the target workload is a GKE node with multiple IPs assigned to it then the previous configuration did not enable you to only allow traffic from a particular IP  We are excited to announce the general availability oflocal IP ranges for Cloud Firewall With local IP range support you can configure destination IPs in ingress firewall rules to allow ingress traffic targeting for only a specific IP for the virtual machine VM interface Local IP ranges are available in both source and destination IP ranges in ingress and egress rules which enables traffic filtering through a gateway style endpoint You can achieve this by configuring symmetrical firewall rules that include a destination IP for an ingress rule and source IP for an egress rule   Forrester WaveIaaS Platform Native SecurityThese offerings were evaluated as part of The Forrester Wave Infrastructure As A Service Platform Native Security for Q where Google was named a Leader In the Wave Forrester evaluated the cloud first security capabilities and go to market of the most significant cloud platform providers based on each vendor s Current Offering Strategy and Market Presence Of the eight vendors Google Cloud received the highest score in the Strategy category and received the most out of ratings across the criteria evaluated in the Wave The report states that “Google offers convincing admin IAM capabilities and robust hypervisor and confidential computing security Network security especially web application firewall and segmentation microsegmentation are ahead of competitors Read more about the report here  Take the next step  Cloud Firewall can help you move toward a Zero Trust network posture for cloud workloads using a scalable cloud first stateful inspection firewall service with advanced protection capabilities With a fully distributed architecture Cloud Firewall can enable micro segmentation through granular controls enforced at the VM level The latest updates to Cloud Firewall Standard now available in GA provides additional capabilities to simplify firewall management to help protect your cloud workloads  To learn more check out the documentation here to activate the features in your cloud environment or get started in the cloud console here	2023-06-09 16:00:00
GCP	Cloud Blog	Announcing first Google Cloud OSCAL package submission for DoD Impact Level 5	https://cloud.google.com/blog/products/identity-security/announcing-first-google-cloud-oscal-package-submission-for-dod-impact-level-5/	Announcing first Google Cloud OSCAL package submission for DoD Impact Level Today Google Cloud is proud to announce that we have successfully submitted the complete OSCAL package for Department of Defense DoD Impact Level IL to eMASS This is a major milestone for us as it represents our step forward supporting scalable compliance for Google Cloud and its customers Open Security Control Assessment Language OSCAL OSCAL Open Security Control Assessment Language is an open machine readable language for representing security control assessments developed by NIST It is designed to facilitate the exchange of information about security controls between organizations and systems and enables the automation of security assessments As organizations increasingly look to move from periodic audits to continuous controls monitoring the free flow of information in a consistent machine readable format is a critical requirement Google Cloud is looking to leverage OSCAL as that standard  The goal is to leverage the data structure combined with tooling to automate the monitoring of security controls to help protect data and reduce risks   Google Cloud s adoption and use of OSCALWe are proud to be a pioneer in the adoption of OSCAL As an initial step we looked to adopt the OSCAL data structure internally such as in our own taxonomy and our GRC tooling This adoption was critical in getting us an organized comprehensive and consistent control and monitoring data structure  By adopting the OSCAL taxonomy internally Google Cloud can help ensure that its security controls are consistently described and assessed This can help us to improve our security posture and to reduce the risk of security breaches In addition we can make it easier to automate the process of assessing our security posture  We also developed an internal tool to automatically generate OSCAL files in JSON and XML by consuming internal control and control monitoring metrics data We believe that these initiatives will make it easier for organizations to adopt and use OSCAL We are committed to continuing to develop and improve OSCAL and we are excited to see what the future holds for this important security standard Driving compliance transparency and automationGoogle Cloud s adoption of OSCAL is a significant step forward in achieving and supporting compliance It can provide a single source of truth for security documentation standardize compliance artifacts automate security assessments and automate remediation which helps create compliance transparency internally Google Cloud is committed to enhancing scaling and supporting compliance to help customers In the future we will work to explore options for externalizing OSCAL formatted packages that customers can use to automate the security assurance process across multiple compliance frameworks We are also committed to collaborating with NIST in supporting improving the OSCAL data model and helping the OSCAL community to grow	2023-06-09 16:00:00