投稿時間:2022-02-08 03:26:42 RSSフィード2022-02-08 03:00 分まとめ(26件)

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AWS	AWS Media Blog	Media intelligence just got smarter with Media2Cloud 3.0	https://aws.amazon.com/blogs/media/media-intelligence-just-got-smarter-with-media2cloud-3-0/	Media intelligence just got smarter with MediaCloud We are happy to announce the official release of nbsp MediaCloud This release helps AWS customers simplify and expedite their media migration workflow into AWS It provides a framework to implement artificial intelligence and machine learning AI ML to create frame level descriptive metadata about content This new version of MediaCloud still includes the features that customers have …	2022-02-07 17:14:34
AWS	AWS	AWS QnABot Solution and Genesys Cloud CX | Amazon Web Services	https://www.youtube.com/watch?v=-UcDIGQfG6Q	AWS QnABot Solution and Genesys Cloud CX Amazon Web ServicesThis is a demo of the AWS QnABot Solution acting as an IVR in the Genesys Cloud CX Learn more about QnABot at Subscribe More AWS videos More AWS events videos 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 AWS AmazonWebServices CloudComputing	2022-02-07 17:27:55
海外TECH	Ars Technica	Meta may be forced to shutter Facebook, Instagram in EU	https://arstechnica.com/?p=1832208	tight	2022-02-07 17:18:19
海外TECH	MakeUseOf	How to Use Twitter Without an Account: A Quick Guide	https://www.makeuseof.com/tag/yes-can-use-twitter-without-account-heres/	twitter	2022-02-07 17:45:13
海外TECH	MakeUseOf	How to Set Up a Flight Simulator on Your PC	https://www.makeuseof.com/how-to-set-up-pc-flight-simulator/	perfect	2022-02-07 17:45:12
海外TECH	MakeUseOf	5 Amazing Linux Video Players for Watching Movies and Shows	https://www.makeuseof.com/tag/5-amazing-linux-video-players-for-watching-movies-and-shows/	players	2022-02-07 17:31:00
海外TECH	MakeUseOf	How to Take Notes During Zoom Meetings Like a Pro	https://www.makeuseof.com/how-to-take-notes-zoom-meetings/	meetings	2022-02-07 17:30:59
海外TECH	MakeUseOf	Why Spotify Has Removed Dozens of Old Joe Rogan Podcasts	https://www.makeuseof.com/why-spotify-removed-joe-rogan-podcasts/	spotify	2022-02-07 17:15:00
海外TECH	MakeUseOf	How to Boot an Intel T2 Mac From an External Drive	https://www.makeuseof.com/how-to-boot-external-drive-t2-intel-mac/	drive	2022-02-07 17:01:07
海外TECH	Engadget	House Democrats urge IRS to halt facial recognition plans	https://www.engadget.com/house-democrats-irs-facial-recognition-letter-173821508.html?src=rss	House Democrats urge IRS to halt facial recognition plansIt s not just Republican senators upset over the Internal Revenue Service s plans to adopt ID me facial recognition Democratic House Representatives Ted Lieu Anna Eshoo Pramila Jayapal and Yvette Clarke have sent a letter to IRS Commissioner Charles Rettig demanding his agency drop plans to use facial recognition starting this summer They re concerned the plan will compromise privacy and security by forcing uploads of sensitive data to a database that could be a quot prime target quot for cyberattacks like the one that exposed license plates at Customs and Border Protection in The members of Congress were also worried about lingering accuracy and bias problems with facial recognition systems While ID me maintains its technology is equitable and inclusive the Democrats pointed to a National Institute of Standards and Technology study that showed many more false positives for Asian and Black faces even in one to one matching systems like the one ID me sometimes uses The requirement for facial recognition also discriminated against those who couldn t afford quot reliable quot broadband and video capabilities according to the letter Transparency was also a point of contention The House reps were concerned ID me backtracked on claims it didn t use potentially more invasive one to many face recognition tech and that the IRS wasn t transparent regarding its contract The House group asked the IRS to answer several questions on top of rethinking its policy The politicians wanted the tax service to explain the methodology leading to the contract including examples of fraud that would justify facial recognition and the lack of disclosures surrounding ID me s tech Lieu and allies similarly wanted to know if the IRS had taken measures to address the potentials for bias and security breaches There was no deadline for answering these questions Letters like this won t guarantee action There s no immediate threat of legislation or other efforts that could force the IRS to change course They do reflect mounting bipartisan and bicameral opposition to the service s facial recognition strategy though and they come as part of a broader effort to ban the technology at the federal level If politicians deem the IRS response inadequate they might escalate their legislative efforts	2022-02-07 17:38:21
金融	金融庁ホームページ	アクセスＦＳＡ第222号を公表しました。	https://www.fsa.go.jp/access/index.html	アクセス	2022-02-07 18:00:00
金融	金融庁ホームページ	金融庁職員の新型コロナウイルス感染について公表しました。	https://www.fsa.go.jp/news/r3/sonota/20220207.html	新型コロナウイルス	2022-02-07 18:00:00
ニュース	BBC News - Home	Covid: PM pledges tough targets to tackle NHS backlog and Ottawa truckers defiant	https://www.bbc.co.uk/news/uk-60291309?at_medium=RSS&at_campaign=KARANGA	coronavirus	2022-02-07 17:46:12
ニュース	BBC News - Home	Asda in cheap food promise after Jack Monroe complaints	https://www.bbc.co.uk/news/business-60287010?at_medium=RSS&at_campaign=KARANGA	activist	2022-02-07 17:49:40
ニュース	BBC News - Home	'Let's do it like the men' - Serrano proposes 12 three-minute rounds v Taylor	https://www.bbc.co.uk/sport/boxing/60289366?at_medium=RSS&at_campaign=KARANGA	x Let x s do it like the men x Serrano proposes three minute rounds v TaylorAmanda Serrano suggests her upcoming bout against Katie Taylor should take place over rounds of three minutes but undisputed lightweight champion Taylor believes the fight is already iconic as it is	2022-02-07 17:12:18
ニュース	BBC News - Home	Covid: How will my exams be different this year?	https://www.bbc.co.uk/news/education-60142475?at_medium=RSS&at_campaign=KARANGA	covid	2022-02-07 17:47:36
ニュース	BBC News - Home	Covid-19 in the UK: How many coronavirus cases are there in my area?	https://www.bbc.co.uk/news/uk-51768274?at_medium=RSS&at_campaign=KARANGA	cases	2022-02-07 17:11:59
ビジネス	ダイヤモンド・オンライン - 新着記事	10年間でマイホームにかかった費用はゼロ！ FIREするための賢い住宅取得法 - 年収300万円からのFIRE入門	https://diamond.jp/articles/-/295146	費用	2022-02-08 02:55:00
ビジネス	ダイヤモンド・オンライン - 新着記事	文章がうまい人がやっている「意外すぎる」訓練 - 独学大全	https://diamond.jp/articles/-/295355	訓練	2022-02-08 02:50:00
ビジネス	ダイヤモンド・オンライン - 新着記事	「その資格、使えないよ」とバカにする人は、9割間違っている - 大量に覚えて絶対忘れない「紙1枚」勉強法	https://diamond.jp/articles/-/295566	間違い	2022-02-08 02:45:00
ビジネス	ダイヤモンド・オンライン - 新着記事	「いつかわかり合える」的な努力はムダ!? 心を消耗しないために知っておくべき「人間関係の法則」とは - メンタルダウンで地獄を見た元エリート幹部自衛官が語る　この世を生き抜く最強の技術	https://diamond.jp/articles/-/293292	twitter	2022-02-08 02:40:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【強運な人は知っている】成功者のマネをしているのに、ちっとも成功できない人が忘れている大事なこととは？ - 龍神とつながる強運人生	https://diamond.jp/articles/-/295352	龍神	2022-02-08 02:35:00
ビジネス	ダイヤモンド・オンライン - 新着記事	アート思考や言語化力を磨きたいなら「純文学」を読めばいい - タイム・スリップ芥川賞	https://diamond.jp/articles/-/295293	アート思考や言語化力を磨きたいなら「純文学」を読めばいいタイム・スリップ芥川賞「ビジネスに役立つ学」と書かれたら、に何を入れたくなりますか。	2022-02-08 02:30:00
Azure	Azure の更新情報	Generally Available: Recovery points extended to 15 days with Azure Site Recovery	https://azure.microsoft.com/ja-jp/updates/retain-recovery-now-points-up-to-15-days-with-azure-site-recovery/	Generally Available Recovery points extended to days with Azure Site RecoveryThe extended recovery points give you flexibility in how you want to manage recovery points and the ability to recover older recovery points if you missed detecting them	2022-02-07 17:01:27
GCP	Cloud Blog	Getting Started with Google Cloud Logging Python v3.0.0	https://cloud.google.com/blog/products/devops-sre/google-cloud-logging-python-client-library-v3-0-0-release/	Getting Started with Google Cloud Logging Python v We re excited to announce the release of a major update to the Google Cloud Python logging library  v makes it even easier for Python developers to send and read logs from Google Cloud providing real time insights into what is happening in your application  If you re a Python developer working with Google Cloud now is a great time to try out Cloud Logging If you re unfamiliar with the google cloud logging library getting started is simple First download the library using pip Now you can set up the client library to work with Python s built in logging library Doing this will make it so that all your standard Python log statements will start sending data to Google Cloud We recommend using the standard Python logging interface for log creation as demonstrated above However if you need access to other Google Cloud Logging features reading logs managing log sinks etc you can use google cloud logging directly Here are some of the main features of the new release Support More Cloud EnvironmentsPrevious versions of google cloud logging supported onlyApp Engine andKubernetes Engine Users reported that the library would occasionally drop logs on serverless environments like Cloud Run and Cloud Functions This was because the library would send logs in batches over the network When a serverless environment would spin down unsent batches could be lost v fixes this issue by making use of GCP s built instructured JSON logging functionality on supported environments GKE Cloud Run or Cloud Functions If the library detects it is running on an environment that supports structured logging it will automatically make use of the newStructuredLogHandler which writes logs as JSON strings printed to standard out Google Cloud s built in agents will then parse the logs and deliver them to Cloud Logging even if the code that produced the logs has spun down  Structured Logging is more reliable on serverless environments and it allows us to support all major GCP compute environments in v Still if you would prefer to send logs over the network as before you can manually set up the library with a CloudLoggingHandler instance Metadata AutodetectionWhen you troubleshoot your application it can be useful to have as much information about the environment as possible captured in your application logs google cloud logging attempts to help in this process by detecting and attaching metadata about your environment to each log message The following fields are currently supported resource The Google Cloud resource the log originated from for example Functions GKE or Cloud Run httpRequest Information about an HTTP request in the log s contextFlask and Django are currently supported sourceLocation File line and function namestrace spanId and traceSampled Cloud Trace metadataSupports X Cloud Trace Context and wc transparent trace formatsThe library will make an attempt to populate this data whenever possible but any of these fields can also be explicitly set by developers using the library JSON Support in Standard Library IntegrationGoogle Cloud Logging supports bothstring and JSON payloads for LogEntries but up until now the Python standard library integration could only send logs with string payloads In google cloud logging v  you can log JSON data in two ways Log a JSON parsable string Pass a json fields dictionary using Python logging s extra argument Next StepsWith version v the Google Cloud Logging Python library now supports more compute environments detects more helpful metadata and provides more thorough support for JSON logs Along with these major features there are also user experience improvements like a new log method and more permissive argument parsing  If you want to learn more about the latest release these changes and others are described in more detail in the v Migration Guide If you re new to the library check out the google cloud logging user guide If you want to learn more about observability on GCP in general you can spin up test environments using Cloud Ops Sandbox Finally if you have any feedback about the latest release have new feature requests or would like to make any contributions feel free to open issues on our GitHub repo The Google Cloud Logging libraries are open source software and we welcome new contributors Related ArticleTake the first step toward SRE with Cloud Operations SandboxSpin up the Cloud Operations Sandbox to see how Google s logging monitoring tracing profiling and debugging can kickstart your SRE pra Read Article	2022-02-07 18:00:00
GCP	Cloud Blog	Troubleshooting application performance on Cloud Spanner with OpenCensus	https://cloud.google.com/blog/products/spanner/troubleshooting-cloud-spanner-applications-with-opencensus-metrics/	Troubleshooting application performance on Cloud Spanner with OpenCensusThis tutorial shows how to configure client side metrics recording in your Cloud Spanner workloads using OpenCensus While Cloud Spanner surfaces a number of helpful server side metrics applications can realize the added benefits of collecting metrics emitted by the Cloud Spanner client library For example only client side metrics include session and transaction related information These OpenCensus metrics will provide you with enough data to enable you to spot and investigate the cause of any unusual deviations from normal behavior Before I dive into the details let me provide a brief introduction to OpenCensus OpenCensus provides libraries for C Java Go Python Javascript Net Ruby and PHP that that capture distributed traces and metrics from applications and send this telemetry to backends like Cloud Monitoring Cloud Trace Prometheus Jaeger Datadog etc More info and the user manual are available on opencensus io In this blog we explore the client side metrics in Java through an example Before you beginMake sure you re using Java or greater and Apache Maven Our example will run on Google Cloud and emit metrics to Cloud Monitoring and Traces to Cloud Trace however you can run your code anywhere and can use any exporter that OpenCensus supports Client side metrics for investigating the use and abuse of the session poolThese simple metrics should allow you to diagnose a range of different issues from the effects of changing the min max session configuration to detecting session leaks You may find the below metrics in the Cloud Spanner Java and Go client libraries Sessions are a central concept in the Cloud Spanner API All Spanner reads and writes are performed through a session A session can have only one active transaction at any time Tracking the number of max allowed sessions configurable by the usercloud google com java spanner max allowed sessions This shows the maximum number of sessions allowed If the current number of sessions in the pool is less than this and they are all in use then a new session will be created for any new operation If the current number of in use sessions are the same as this number and a new request comes the pool can either block or fail This metric is labeled by database name instance name and library version Tracking the number of max in use sessionscloud google com java spanner max in use sessions This returns the maximum number of sessions that have been in use during the last maintenance window interval so as to provide an indication of the amount of activity currently in the database It is specific to the database and instance name it runs in A maintenance window is a set minute interval After a complete maintenance window has passed the value is reset to zero and then starts increasing again The value is updated every time a session is checked out of the pool Tracking the number of sessions in poolcloud google com java spanner num sessions in pool This metric allows users to see instance level and database level data for the total number of sessions in the pool at this very moment This metric lists the number of num in use sessions num sessions being prepared num read sessions and num write prepared sessions The metric num sessions being prepared is currently unsupported and is set to by default The num read sessions and num write prepared sessions together indicate the number of sessions in the pool The num in use sessions indicates the number of sessions currently being used Tracking the number of requests to get session timeouts cumulative cloud google com java spanner get session timeouts This gives you an indication of the total number of get session timed out instead of being granted the thread that requested the session is placed in a wait queue where it waits until a session is released into the pool by another thread due to pool exhaustion since the server process started Consider this value in combination with the value of currently in use sessions to understand the load on the database This metric is labeled by database name instance name and library version In such a situation you should observe a value for currently in use sessions that is equal to or almost equal to max allowed sessions all the time While that is an indication that something is not well it could also be that the application and the session pool are operating at their max but without actually being exhausted  Below are the steps to troubleshoot this problem Check your application log for LeakedSessionExceptions that occur when you close your Spanner instance Closing a Spanner instance will close the session pool and closing the session pool will trigger these LeakedSessionExceptions for all sessions that have not been checked back into the session pool before closing the pool If you have LeakedSessionExceptions Investigate the stack trace of these and fix the code that is checking out the session but not checking them back in for example not closing all ResultSets or by not closing a read only transaction If you do not have LeakedSessionExceptions Increase SessionPool maxSessions Tracking the number of acquired and released sessionscloud google com java spanner num acquired sessions This metric allows users to see the total number of acquired sessions cloud google com java spanner num released sessions This metric allows users to see the total number of released destroyed sessions Under ideal conditions the number of acquired sessions should be equal to or almost equal to the released session count If the difference between the two is steadily increasing it is certainly an indication that there is a session leak The metric is also an indication of the load on the system so if you were to present it as a timeline you would be able to recognize peak and low load moments Tracking the roundtrip and GFE latenciesOpenCensus grpc io client roundtrip latency This metric provides the time between the first byte of the API request sent to the last byte of the response received cloud google com java spanner gfe latency This metric provides the latency between Google s network receiving an RPC and reading back the first byte of the response cloud google com java spanner gfe header missing count This metric provides the number of RPC responses received without the server timing header most likely meaning that the RPC never reached Google s network Currently the gfe latency and gfe header missing count metrics are available in the Cloud Spanner java client library only We are in the process of adding support in our Go client library By comparing the latencies between client GFE and Spanner query execution users and support engineers should now be able to narrow down the cause of slow Spanner operations For example High round trip latency high GFE latency and high Cloud Spanner query latency If the query execution latency is high users can focus on optimizing schema indexing and the query for better performance  High round trip latency high GFE latency and low Cloud Spanner query latency If your application experiences end to end latency and Google Front End latency that is higher than expected but the latency metrics for Cloud Spanner query execution and GFE latency are significantly lower than the total end to end latency there is likely an issue with GFE Users can include this information in the support tickets so that support engineers can focus on GFE troubleshooting  High round trip latency low GFE latency and low Cloud Spanner query latency If your application experiences latency that is higher than expected but the latency metrics for Cloud Spanner query execution and GFE latency are significantly lower than the total end to end latency there might be an issue in your application code If your application has a performance issue that causes some code paths to be slow the total end to end latency for each request might increase To check for this issue benchmark your application to identify code paths that are slower than expected You can also comment out the code that communicates with Cloud Spanner then measure the total latency again If the total latency doesn t change very much then Cloud Spanner is unlikely to be the cause of the high latency This could indicate a networking issue between the client and the GFE and needs fixing of the network routing  To set up and enable Metrics follow these steps Step ーSetting Up and Enabling Enhanced MetricsIn order to capture client side metrics and distributed traces from the Cloud Spanner client we need to use OpenCensus Observability Ready Util for Java This package provides a convenient wrapper so that developers can use OpenCensus easily By default OpenCensus Observability Ready Util does the following things Enables basic RPC is a single call against a gRPC service either streaming or unary views to surface below mentioned server side metrics To consume the GFE latency metrics you have to register the views  Sets probabilistic sampling rate to in Creates and registers OCAgent Trace Exporter to collect tracesCreates and registers OCAgent Metrics Exporter to collect metrics If you are using Maven add this to your pom xml fileIf you are using Gradle add this to your dependencies Configure OpenCensus and register viewsThe Cloud Spanner client supports OpenCensus Metrics which gives insight into the client internals and aids in debugging troubleshooting production issues Metrics prefixed with cloud google com java spanner focus on operational level metrics RPC level metrics can be gleaned from gRPC s metrics which are prefixed with grpc io client Step ーDeploy and run the OpenCensus agentThe ocagent can be run directly from sources binary or a Docker image To install and build the agent please follow the instructions from here Step ーView the captured metrics with Stackdriver Metrics ExplorerAfter you have enabled Metrics for your spanner client you can view the metrics using Stackdriver Metrics Exporter Navigate to the Metrics Explorer In the “Find resource type and metric field enter the following cloud google com java spanner in use sessionsSelect this metric from the list In the right pane the count of in use sessions Step ーTime to clean upSince this tutorial uses multiple GCP components please be sure to delete the associated resources once you are done Sample Java Application To run a demo and capture the metrics you need to clone the application that follows to generate a sample load on Cloud Spanner and enable Opencensus metric collection Please see below for a detailed guide Clone the source repository for this tutorial git clone cloudspannerecosystem spanner oc java gitUpdate the Java application with some configuration specific to your project Navigate to the folder containing the Java source cd src main java com example spannerConfigure the environment variable in the application code to use the Cloud Spanner instance and database To build the example mvn clean packageRun the following Maven commands to build and run the program mvn exec java Dexec mainClass com example spanner AppGo to http localhost spanner and start sending read requests OpenCensus s integration with Cloud Spanner thrives on being able to detect any unusual deviation from the normal in one or more metrics The number of recently in use sessions is a good example of a metric that needs a baseline to tell you if a measurement is reasonable or a sign of a problem Having established a baseline for the metric you ll be able to spot and investigate the cause of any unexpected deviations from normal behavior I hope this simple getting started guide gets you up and running Let us know in the comment section below if you find this helpful and any suggestions or questions you may have Related ArticleHow to investigate high tail latency when using Cloud SpannerThis article summarizes common issues about high tail latency and provides useful tips so that Cloud Spanner users can mitigate those iss Read Article	2022-02-07 18:00:00