【AWS Database Blog】Amazon RDS for PostgreSQL でトランザクションID周回の早期検知のための実装 AWS Database Blog では、 AWS の様々なデータベースサービスや利用時の Tips をご紹介しています。今回は、AWS のデータベースエンジニアであるShawn McCoy が書いた Implement an Early Warning System for Transaction ID Wraparound in Amazon RDS for PostgreSQL を翻訳してご紹介します。 - 江川大地 ------------ PostgreSQL を運用している方は理解している思いますが、重要なメンテナンスが autovacuum プロセスによって行われています。このバックグラウンドプロセスの最も効率的なことはリリースのたびに、

こんにちは。ソリューションアーキテクトの下佐粉（しもさこ）で す。 先日(7/31)のお昼に緊急開催したAWS Black Belt Tech Webinar では RDSの新しいデータベースエンジン Amazon Auroraの解説を行いました。 これまでプレビューだったAuroraが一般公開（GA）された直後とあって、告知からあまり日にちが無かったにも関わらず非常に沢山の方にご参加いただきました。スライド資料を以下に公開しますので、見逃した方もぜひ参考になさってください。 Q&Aも非常に活発でした。時間の範囲お答えさせていただきましたが、それでも答えきれなかったご質問も多かったので、このエントリの後半にQ&Aをまとめています。こちらもぜひご参照ください。 次回のBlackbeltは8/5(水)18時から、AWSのNoSQL型データベースサービスであるDynamoDBについて解説します。

Amazon SageMaker Geospatial Capabilities Now Generally Available with Security Updates and More Use Case Samples At AWS re:Invent 2022, we previewed Amazon SageMaker geospatial capabilities, allowing data scientists and machine learning (ML) engineers to build, train, and deploy ML models using geospatial data. Geospatial ML with Amazon SageMaker supports access to readily available geospatial dat

Amazon SageMaker Geospatial Capabilities Now Generally Available with Security Updates and More Use Case Samples At AWS re:Invent 2022, we previewed Amazon SageMaker geospatial capabilities, allowing data scientists and machine learning (ML) engineers to build, train, and deploy ML models using geospatial data. Geospatial ML with Amazon SageMaker supports access to readily available geospatial dat

New – Amazon EC2 Hpc7a Instances Powered by 4th Gen AMD EPYC Processors Optimized for High Performance Computing In January 2022, we launched Amazon EC2 Hpc6a instances for customers to efficiently run their compute-bound high performance computing (HPC) workloads on AWS with up to 65 percent better price performance over comparable x86-based compute-optimized instances. As their jobs grow more co

Build RAG applications with MongoDB Atlas, now available in Knowledge Bases for Amazon Bedrock Foundational models (FMs) are trained on large volumes of data and use billions of parameters. However, in order to answer customers’ questions related to domain-specific private data, they need to reference an authoritative knowledge base outside of the model’s training data sources. This is commonly ac

In the Works – AWS Region in Malaysia We launched an AWS Region in Australia earlier this year, four more (Switzerland, Spain, the United Arab Emirates, and India) in 2022, and are working on regions in Canada, Israel, New Zealand, and Thailand. All told, we now have 99 Availability Zones spread across 31 geographic regions. Malaysia in the Works Today I am happy […] New – Amazon Lightsail for Res

Amazon SageMaker Geospatial Capabilities Now Generally Available with Security Updates and More Use Case Samples At AWS re:Invent 2022, we previewed Amazon SageMaker geospatial capabilities, allowing data scientists and machine learning (ML) engineers to build, train, and deploy ML models using geospatial data. Geospatial ML with Amazon SageMaker supports access to readily available geospatial dat

Announcing Amazon Managed Service for Apache Flink Renamed from Amazon Kinesis Data Analytics Today we are announcing the rename of Amazon Kinesis Data Analytics to Amazon Managed Service for Apache Flink, a fully managed and serverless service for you to build and run real-time streaming applications using Apache Flink. We continue to deliver the same experience in your Flink applications without

Announcing Amazon Managed Service for Apache Flink Renamed from Amazon Kinesis Data Analytics Today we are announcing the rename of Amazon Kinesis Data Analytics to Amazon Managed Service for Apache Flink, a fully managed and serverless service for you to build and run real-time streaming applications using Apache Flink. We continue to deliver the same experience in your Flink applications without

Amazon SageMaker Geospatial Capabilities Now Generally Available with Security Updates and More Use Case Samples At AWS re:Invent 2022, we previewed Amazon SageMaker geospatial capabilities, allowing data scientists and machine learning (ML) engineers to build, train, and deploy ML models using geospatial data. Geospatial ML with Amazon SageMaker supports access to readily available geospatial dat

AWS Week in Review – March 20, 2023 This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS! A new week starts, and Spring is almost here! If you’re curious about AWS news from the previous seven days, I got you covered. Last Week’s Launches Here are the […] AWS Chatbot Now Integrates With Microsoft Teams I am pleased

AWS Week in Review – New Open-Source Updates for Snapchange, Cedar, and Jupyter Community Contributions – May 15, 2023 A new week has begun. Last week, there was a lot of news related to AWS. I have compiled a few announcements you need to know. Let’s get started right away! Last Week’s Launches Let’s take a look at some launches from the last week that I want to remind you of: New Amazon EC2 […]

Amazon Titan Text V2 now available in Amazon Bedrock, optimized for improving RAG The Amazon Titan family of models, available exclusively in Amazon Bedrock, is built on top of 25 years of Amazon expertise in artificial intelligence (AI) and machine learning (ML) advancements. Amazon Titan foundation models (FMs) offer a comprehensive suite of pre-trained image, multimodal, and text models accessi

Announcing General Availability of Step-by-Step Guides for Amazon Connect Agent Workspace At AWS re:Invent 2022 we announced the availability of step-by-step guides for Amazon Connect agent workspace in preview. My colleagues who collaborated to write the announcement post wrote about some of the challenges that contact centers face with training new agents to get up to speed with their agent desk

Amazon SageMaker Geospatial Capabilities Now Generally Available with Security Updates and More Use Case Samples At AWS re:Invent 2022, we previewed Amazon SageMaker geospatial capabilities, allowing data scientists and machine learning (ML) engineers to build, train, and deploy ML models using geospatial data. Geospatial ML with Amazon SageMaker supports access to readily available geospatial dat

Amazon Q Business, now generally available, helps boost workforce productivity with generative AI At AWS re:Invent 2023, we previewed Amazon Q Business, a generative artificial intelligence (generative AI)–powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. With Amazon Q Business, yo

AWS Week in Review – AWS Documentation Updates, Amazon EventBridge is Faster, and More – May 22, 2023 Here are your AWS updates from the previous 7 days. Last week I was in Turin, Italy for CloudConf, a conference I’ve had the pleasure to participate in for the last 10 years. AWS Hero Anahit Pogosova was also there sharing a few serverless tips in front of a full house. Here’s a picture I […] Amaz