投稿時間:2023-04-18 15:18:11 RSSフィード2023-04-18 15:00 分まとめ(23件)

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IT	ITmedia 総合記事一覧	[ITmedia News] AR位置情報ゲーム「モンハンナウ」9月開始　Nianticとカプコンのタッグで　25日からβテスト	https://www.itmedia.co.jp/news/articles/2304/18/news137.html	itmedianewsar	2023-04-18 14:44:00
IT	ITmedia 総合記事一覧	[ITmedia PC USER] レノボ、Ryzen搭載の薄型軽量14型ノート「IdeaPad Slim 5 Light」など3製品　ThinkPadシリーズ新モデルも	https://www.itmedia.co.jp/pcuser/articles/2304/18/news135.html	ideapadslimlight	2023-04-18 14:32:00
IT	情報システムリーダーのためのIT情報専門サイト IT Leaders	大日本印刷、インボイス制度の登録事業者番号を収集するBPOサービスを開始 | IT Leaders	https://it.impress.co.jp/articles/-/24741	itleaders	2023-04-18 14:08:00
AWS	AWS - Japan	第二十七回 ちょっぴりDD - SageMaker Canvas でビジネスユーザーとデータサイエンティストがシームレスコラボを実現！	https://www.youtube.com/watch?v=AWNLlUXh63Q	第二十七回ちょっぴりDDSageMakerCanvasでビジネスユーザーとデータサイエンティストがシームレスコラボを実現第回年月日ちょっぴりDD月のテーマは「ML」です。	2023-04-18 05:15:22
AWS	AWS - Japan	第二十八回 ちょっぴりDD - SageMaker で学習済みモデルを効率的に管理するためのポイント	https://www.youtube.com/watch?v=cAisZZ3hc_8	第二十八回ちょっぴりDDSageMakerで学習済みモデルを効率的に管理するためのポイント第回年月日ちょっぴりDD月のテーマは「ML」です。	2023-04-18 05:10:29
AWS	AWS - Japan	第二十八回 ちょっぴりDD - SageMaker シャドウテストで、デプロイ前にMLモデルの性能を検証しよう	https://www.youtube.com/watch?v=UmCzWDsZujM	第二十八回ちょっぴりDDSageMakerシャドウテストで、デプロイ前にMLモデルの性能を検証しよう第回年月日ちょっぴりDD月のテーマは「ML」です。	2023-04-18 05:08:30
AWS	AWS - Japan	第二十八回 ちょっぴりDD - オープニング&SAの今月のお勧め 5 分間アップデート	https://www.youtube.com/watch?v=-WRrI7kDvDg	第二十八回ちょっぴりDDオープニングampSAの今月のお勧め分間アップデート第回年月日ちょっぴりDD月のテーマは「ML」です。	2023-04-18 05:06:21
python	Pythonタグが付けられた新着投稿 - Qiita	【初学者向け】Python処理系について	https://qiita.com/Soysoy11110000/items/3833d76cbea3f4d09217	記事	2023-04-18 14:40:40
AWS	AWSタグが付けられた新着投稿 - Qiita	SnowflakeのSnowpipeを使って、S3にファイルをエクスポートすると同時にSnowflakeのテーブルにも自動でロードされる仕組みを作る	https://qiita.com/Ayumu-y/items/7ef351524c48d853f301	snowflake	2023-04-18 14:20:33
技術ブログ	Developers.IO	MongoDB Atlas を AWS Marketplace でサブスクライブし、利用してみた	https://dev.classmethod.jp/articles/mongodb-atlas-aws-marketplace-subscribe/	atlas	2023-04-18 05:27:23
技術ブログ	Developers.IO	はじめてのLT大会を終えて…！意識してみたことを紹介！！	https://dev.classmethod.jp/articles/lt_sasuke/	紹介	2023-04-18 05:14:36
技術ブログ	Developers.IO	インスタンスの更新とスケールアウトイベントが競合することは想定されているか教えてください。	https://dev.classmethod.jp/articles/tsnote-instance-reflesh-and-scaleout-competition/	ecautoscaling	2023-04-18 05:08:43
海外TECH	DEV Community	Love Mongodb ? Try Tigris db once.	https://dev.to/raviagheda/love-mongodb-try-tigris-db-once-52pn	Love Mongodb Try Tigris db once Tigris db is one the best no sql database I came across after the mongodb We love mongodb for it s ease of use and features powered queries easy model setup complex operations But still there are many things we have to handle on our own i e Environment based setup etc Whereas Tigris provide native integration for branching enviroments we can setup the main staging dev branch for different database using env config In order to get one more step further we have a tigris db to explore Let s discuss some key points difference of tigris db and mongodb to get more idea around it How Tigris differ from MongoDB from the tigris docUnlike MongoDB Tigris follows a modern composable architecture with loosely coupled components Furthermore compute is separated from storage allowing for independent scaling and a more resilient system The storage layer in Tigris is built on FoundationDB and Tigris inherits the strong consistency guarantees and the scalability of FoundationDB Tigris provides automatic database sharding and shard keys are unnecessary as the data distribution is automatically handled This ensures true serverless behavior with no painful transition from a non sharded to a sharded MongoDB cluster Tigris open source Kubernetes native design allows it to be deployed anywhere in the cloud in the user s account ensuring that the user is always in control of their data Some other differentiating features include global interactive ACID transactions consistent secondary indexes and an integrated search platform To try the Tigirs database with express app visit Signup and create a test app It ll provide a command set of npm Create an express app using it and you ll be able to explore the codebase and queries Here s a reference of express tigris app Fun Fact If we move to tigress db then our stacks will be as follow MEAN will be TEAN and MERN will be TERN If you are here it means you may have enjoyed reading this blog Just follow me Ravi Agheda which will motivate to write more and contribute to open source You can make me a coffee ️ Small support comes a long way	2023-04-18 05:12:54
海外TECH	DEV Community	Master the Art of Kubernetes Deployment with AWS and DevOps!	https://dev.to/imsampro/master-the-art-of-kubernetes-deployment-with-aws-and-devops-2ogo	Master the Art of Kubernetes Deployment with AWS and DevOps Kubernetes has become the industry standard for container orchestration providing a robust platform for managing containerized applications at scale Amazon Web Services AWS offers a suite of powerful tools for Kubernetes deployment including its Elastic Kubernetes Service EKS and DevOps services With AWS and DevOps you can streamline your Kubernetes deployment process automate your CI CD pipeline and reduce the time and effort required for managing containerized workloads In this article we ll explore how to master the art of Kubernetes deployment with AWS and DevOps from setting up a Kubernetes cluster to implementing best practices for scaling monitoring and troubleshooting Kubernetes on AWS Understanding Kubernetes and Its BenefitsWhat is Kubernetes Kubernetes also known as Ks is an open source container orchestration tool that manages the deployment scaling and management of containerized applications It was originally developed by Google and is now maintained by the Cloud Native Computing Foundation CNCF Why Use Kubernetes for Deployment Kubernetes offers numerous benefits over traditional deployment methods It provides a robust solution for managing containerized applications offering features such as self healing auto scaling and load balancing Kubernetes also makes it easier to deploy manage and upgrade applications while providing increased flexibility and portability Setting Up Kubernetes on AWS with DevOpsChoosing the Right AWS Kubernetes ServiceThere are several AWS Kubernetes services available such as Amazon Elastic Kubernetes Service EKS AWS Fargate and Amazon Elastic Container Service ECS It s important to choose the right service for your specific use case and workload requirements Creating a Kubernetes Cluster on AWSOnce you have chosen an AWS Kubernetes service the next step is to create a Kubernetes cluster on AWS This involves defining your cluster s network security and compute resources Integrating Your DevOps Tools with AWS and KubernetesTo fully leverage the benefits of Kubernetes it s important to integrate your DevOps tools with AWS and Kubernetes This will enable you to automate and streamline the deployment process while also providing greater visibility and control over your application deployments Designing a Kubernetes Deployment ArchitectureIdentifying Application Requirements and ArchitectureBefore designing your Kubernetes deployment architecture it s essential to identify your application requirements and architecture This includes understanding the dependencies between components defining how components should be scaled and identifying the required resources for each component Planning a Secure and Resilient Kubernetes DeploymentSecurity and resilience are critical considerations when designing a Kubernetes deployment architecture This involves implementing security best practices such as using SSL TLS certificates and RBAC and designing for adequate redundancy and failover capabilities Choosing the Right Kubernetes Resource ObjectsKubernetes resource objects such as Pods Deployments Services and ConfigMaps play a vital role in defining and managing Kubernetes applications Choosing the right resource objects based on your application requirements and architecture is essential for a successful deployment Automating Kubernetes Deployment with AWS and DevOps ToolsCreating and Managing Kubernetes Deployment ConfigurationsCreating and managing Kubernetes deployment configurations can be a complex task However with the right tools and processes in place it can be streamlined and automated This involves defining your deployment configuration using YAML files and managing the configuration using GitOps Automating Deployment using AWS DevOps ToolsAWS DevOps tools such as AWS CodePipeline and AWS CodeDeploy can help automate the deployment process for Kubernetes applications This involves setting up a pipeline that integrates with your Kubernetes deployment configuration and automates the deployment process based on specific triggers and conditions Implementing Best Practices for Kubernetes DeploymentWhen it comes to deploying Kubernetes on AWS there are several best practices that can help ensure your deployment is secure scalable and reliable Here are some best practices to keep in mind Security Best Practices for Kubernetes on AWSUse RBAC Role Based Access Control to grant granular access permissions to Kubernetes resources Use network policies to control traffic between different Kubernetes pods Use TLS Transport Layer Security encryption to secure communication between Kubernetes components Use AWS Security Groups to control access to Kubernetes nodes Scaling Best Practices for Kubernetes on AWSUse Horizontal Pod Autoscaling HPA to automatically scale the number of pods in response to changes in demand Use Cluster Autoscaling to automatically scale the number of nodes in the cluster based on demand Use Amazon Elastic Kubernetes Service EKS to simplify deployment and scaling of Kubernetes clusters on AWS Networking Best Practices for Kubernetes on AWSUse Amazon VPC Virtual Private Cloud to isolate your Kubernetes clusters from other resources in your AWS account Use the AWS App Mesh service to simplify service mesh management for your Kubernetes applications Use the AWS Load Balancer Controller to automatically manage load balancing for your Kubernetes services Monitoring and Managing Kubernetes Deployments on AWSDeploying Kubernetes on AWS can be complex but using AWS monitoring tools can help you keep track of your deployments and keep them running smoothly Using AWS Monitoring Tools for KubernetesUse Amazon CloudWatch to monitor your Kubernetes cluster s performance and resources usage Use AWS X Ray to trace requests through your Kubernetes services Use AWS CloudTrail to audit and analyze API calls in your Kubernetes cluster Best Practices for Kubernetes Monitoring on AWSSet up alerts for critical metrics like CPU and memory usage Monitor Kubernetes events to identify potential issues before they become critical Use a centralized logging solution to collect logs from all Kubernetes components Managing Kubernetes Deployments on AWSUse Kubernetes operators to automate common tasks like creating new resources Use Helm charts to package and deploy your applications on Kubernetes Use Kubernetes control plane backups to ensure you can quickly recover from disasters Troubleshooting Common Kubernetes Deployment IssuesDespite your best efforts issues can still arise in your Kubernetes deployments Here are some common issues and how to troubleshoot them Identifying Common Deployment IssuesLook for pods that are in a CrashLoopBackoff state Look for high resource usage by certain pods or nodes Check for any missing or misconfigured Kubernetes components Troubleshooting Kubernetes Deployments on AWSUse Kubernetes debugging tools like kubectl to get more information about the state of your deployments Check Kubernetes logs for any error messages or warnings Ensure you have the latest version of Kubernetes components and AWS services Scaling and Optimizing Kubernetes Deployments on AWSTo get the most out of your Kubernetes deployments on AWS it s important to optimize for performance and cost Scaling Kubernetes on AWSUse the AWS Auto Scaling group to automatically scale your Kubernetes nodes Use HPA to automatically scale your Kubernetes pods Use Cluster Autoscaler to automatically scale your Kubernetes cluster Optimizing Kubernetes Deployments for Performance and CostUse container optimization tools like Docker Slim to reduce the size of your containers Use AWS Spot Instances to reduce the cost of running Kubernetes nodes Use AWS Cost Explorer to analyze your Kubernetes deployment cost and find areas to optimize In conclusion Kubernetes deployment with AWS and DevOps is an essential skill for any organization looking to efficiently manage containerized workloads By following the best practices outlined in this article you can optimize the performance security and scalability of your Kubernetes deployments on AWS From initial setup to ongoing management AWS and DevOps provide a powerful suite of tools to streamline your Kubernetes deployment process and allow you to focus on delivering value to your customers With the right expertise and approach you can master the art of Kubernetes deployment and unlock the full potential of containerized applications on AWS FAQs What is Kubernetes Kubernetes is an open source container orchestration platform that automates the deployment scaling and management of containerized applications It provides a flexible and scalable framework for managing containerized workloads allowing teams to focus on delivering value rather than infrastructure management What is AWS Elastic Kubernetes Service EKS AWS EKS is a managed service that makes it easy to run Kubernetes on AWS without the need for complex and time consuming setup It provides a scalable and highly available Kubernetes control plane as well as an optimized and secure method of deploying and managing containerized applications What are the benefits of using DevOps with Kubernetes on AWS Using DevOps with Kubernetes on AWS enables teams to automate the deployment process streamline the CI CD pipeline and reduce the time and effort required for managing containerized workloads By integrating AWS DevOps tools with Kubernetes teams can optimize the performance scalability and security of their deployments while focusing on delivering value to their customers How can I learn more about Kubernetes deployment with AWS and DevOps There are many resources available for learning more about Kubernetes deployment with AWS and DevOps including online courses documentation and community forums AWS provides extensive documentation and tutorials on setting up and managing Kubernetes on their platform while DevOps resources such as Jenkins GitLab and CircleCI offer guides and best practices for automating the deployment process Additionally there are many online communities and conferences dedicated to Kubernetes and DevOps that provide valuable insights and networking opportunities Thank you for reading Soumyadeep Mandal imsampro	2023-04-18 05:03:36
医療系	医療介護 CBnews	医療DXの司令塔機能を厚労省内に、自民PT提言-支払基金の抜本改組も	https://www.cbnews.jp/news/entry/20230418144910	情報システム	2023-04-18 15:00:00
金融	ニッセイ基礎研究所	コロナ禍の教訓と気候変動問題－感染拡大防止策が温暖化対策のヒントになる!?	https://www.nli-research.co.jp/topics_detail1/id=74585?site=nli	目次ーはじめにーコロナ禍とCO排出量の推移世界全体では、年に排出量が減少、年には反動増日本も、年に排出量が大きく減少したが、年にはコロナ禍以前からの減少基調に戻ったーコロナ禍と気候変動問題コロナ禍と気候変動には、世界全体での取り組みを要する等の共通点があるコロナ禍と気候変動には、時間軸などの相違点もあるーコロナ禍で見られた気候変動関連の事象産業・運輸部門のエネルギー使用量は減少、住宅部門のネルギー使用量は増加リモートワークが進み、郊外等でのエネルギー使用が増大ー得られた教訓取り組みの遅れは、コスト増につながる「他者のための取り組み」との理解が、人々の集団行動の促進につながる情報を効果的に発することで対策が推進されるーおわりに私見年以降に拡大したコロナ禍は、年以上に渡り、社会に様々な変化をもたらしてきた。	2023-04-18 14:58:23
海外ニュース	Japan Times latest articles	Two more deaths confirmed from crashed SDF helicopter; five still missing	https://www.japantimes.co.jp/news/2023/04/18/national/okinawa-helicopter-bodies/	Two more deaths confirmed from crashed SDF helicopter five still missingOne of five bodies found Sunday is yet to be retrieved from wreckage that includes part of a UH JA helicopter that disappeared with aboard	2023-04-18 14:01:48
ニュース	BBC News - Home	NI officers face prosecution over death scene images	https://www.bbc.co.uk/news/uk-northern-ireland-65301436?at_medium=RSS&at_campaign=KARANGA	prosecution	2023-04-18 05:36:56
IT	週刊アスキー	サンパレス自慢の夏パフェが集合！　「サマーパフェコレクション2023」を開催　全5種食べ放題プランも！	https://weekly.ascii.jp/elem/000/004/133/4133314/	食べ放題	2023-04-18 14:50:00
IT	週刊アスキー	『ロマンシア（X1版）』が「プロジェクトEGG」で本日リリース！	https://weekly.ascii.jp/elem/000/004/133/4133341/	配信サービス	2023-04-18 14:50:00
IT	週刊アスキー	アップル、年利4.15%の預金サービスを米国で開始	https://weekly.ascii.jp/elem/000/004/133/4133316/	applecard	2023-04-18 14:05:00
IT	週刊アスキー	『ポケモン S・V ゼロの秘宝』宝石のようなポケモンが新発見！	https://weekly.ascii.jp/elem/000/004/133/4133335/	秘宝	2023-04-18 14:05:00
ニュース	THE BRIDGE	イーロン・マスク氏、ChatGPT対抗「TruthGPT」を開発中？ーー最大限の真実を追求するAI	https://thebridge.jp/2023/04/elon-musk-to-develop-truthgpt-as-he-warns-about-civilizational-destruction-from-ai-pickupnews	イーロン・マスク氏、ChatGPT対抗「TruthGPT」を開発中ー最大限の真実を追求するAIピックアップElonMusktodevelopTruthGPTashewarnsaboutcivilizationaldestructionfromAI話題が尽きない対話型AI「ChatGPT」関連ですが、創業者でもありライバルにもなった非常にややこしい存在、イーロン・マスク氏がここにきて突撃してきました。	2023-04-18 05:01:51