    Amazon DynamoDB now supports bulk put items 0 views Skip to first unread message Eyal Estrin unread, 8:06 AM (1 hour ago)    to https://aws.amazon.com/about-aws/whats-new/2026/11/amazon-dynamodb-now-supports-bulk-put-items/ https://aws.amazon.com/blogs/database/introducing-bulk-put-items-for-amazon-dynamodb-load-data-from-amazon-s3-into-existing-tables-at-scale/ https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/BulkPutItems.HowItWorks.html Eyal Estrin Author | Cloud Architect | AWS • Azure • GCP Insights Social: @eyalestrin Connect: https://linktr.ee/eyalestrin Blog: https://security-24-7.com Reply all Reply to author Forward

Today, AWS announces the general availability of bulk put items for Amazon DynamoDB, a fully managed feature that writes data from Amazon S3 into your existing DynamoDB tables. Many DynamoDB applications use data that other systems produce and store in Amazon S3. Writing this data into existing DynamoDB tables has typically meant building custom pipelines and managing table capacity. With bulk put items, developers and data engineers can write this data without impacting existing workloads or building a custom ingestion pipeline, in a cost-efficient way. You point bulk put items at the S3 location of your input files, and DynamoDB handles the rest. Each item supports its own condition expression, so you can enforce insert-only or version-guarded writes. The Standard tier fits most workloads, and the Accelerated tier is for more time-sensitive workloads. Common use cases include daily refreshes, large catalog enrichments, backfills, and migrations. Bulk put items with Standard tier is available in all commercial AWS Regions and the AWS GovCloud (US) Regions, to see the list where the Accelerated tier is available see the regional availability. To learn more, visit the Introducing bulk put items for Amazon DynamoDB blog and the Amazon DynamoDB Developer Guide.

Today, AWS announces the general availability of bulk put items for Amazon DynamoDB, a fully managed feature that writes data from Amazon S3 into your existing DynamoDB tables. Many DynamoDB applications use data that other systems produce and store in Amazon S3. Writing this data into existing DynamoDB tables has typically meant building custom pipelines and managing table capacity. With bulk put items, developers and data engineers can write this data without impacting existing workloads or building a custom ingestion pipeline, in a cost-efficient way. You point bulk put items at the S3 location of your input files, and DynamoDB handles the rest. Each item supports its own condition expression, so you can enforce insert-only or version-guarded writes. The Standard tier fits most workloads, and the Accelerated tier is for more time-sensitive workloads. Common use cases include daily refreshes, large catalog enrichments, backfills, and migrations. Bulk put items with Standard tier is available in all commercial AWS Regions and the AWS GovCloud (US) Regions, to see the list where the Accelerated tier is available see the https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/BulkPutItems.Tiers.html#BulkPutItems.Tiers.Accelerated To learn more, visit the https://aws.amazon.com/blogs/database/introducing-bulk-put-items-for-amazon-dynamodb-load-data-from-amazon-s3-into-existing-tables-at-scale/ blog and the https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/BulkPutItems.HowItWorks.html.

Amazon DynamoDB Accelerator (DAX) is now available in two additional AWS Regions: Canada (Central) and Africa (Cape Town). DAX is a fully managed, highly available, in-memory cache for Amazon DynamoDB that delivers up to ten times performance improvement, from single-digit milliseconds to microseconds, even at millions of requests per second. With DAX, you can accelerate read-intensive and bursty workloads such as real-time bidding, gaming leaderboards, and retail product catalogs, while offloading read traffic from your DynamoDB tables. DAX is API-compatible with DynamoDB, so you can add microsecond-latency caching to your applications with minimal code changes. Customers can now keep cached data within the Region and meet low-latency requirements while benefiting from a fully managed service, including automated patching and failover. To learn more, see the Amazon DynamoDB Accelerator page. For the full list of Regions where DAX is available, see the AWS Regional Services page.

Amazon DynamoDB Accelerator (DAX) is now available in two additional AWS Regions: Canada (Central) and Africa (Cape Town). DAX is a fully managed, highly available, in-memory cache for Amazon DynamoDB that delivers up to ten times performance improvement, from single-digit milliseconds to microseconds, even at millions of requests per second. With DAX, you can accelerate read-intensive and bursty workloads such as real-time bidding, gaming leaderboards, and retail product catalogs, while offloading read traffic from your DynamoDB tables. DAX is API-compatible with DynamoDB, so you can add microsecond-latency caching to your applications with minimal code changes. Customers can now keep cached data within the Region and meet low-latency requirements while benefiting from a fully managed service, including automated patching and failover. To learn more, see the https://aws.amazon.com/dynamodb/dax/. For the full list of Regions where DAX is available, see the https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/.

Groups Conversations All groups and messages Sign in     Amazon DynamoDB global tables now support disassociating replicas 0 views Skip to first unread message Eyal Estrin unread, 2:43 AM (5 minutes ago)    to https://aws.amazon.com/about-aws/whats-new/2026/10/dynamodb-global-tables-disassociate/ https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/globaltables-disassociate.html Eyal Estrin Author | Cloud Architect | AWS • Azure • GCP Insights Social: @eyalestrin Connect: https://linktr.ee/eyalestrin Blog: https://security-24-7.com Reply all Reply to author Forward

https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Introduction.html global tables now support disassociating a replica without deleting its table or data. Global tables provide fully managed, multi-Region, multi-active replication. You can now stop replication to and from a replica and continue using the same table as a single-Region table. An account can leave a shared multi-account global table and continue using its table independently. You can also stop replication to a Region while keeping its table for local workloads, validation, or audit, without creating a replacement table or copying data. DynamoDB supports disassociating replicas in all AWS Regions for same-account and multi-account global tables that use multi-Region eventual consistency (MREC). To get started, use the AWS Management Console, AWS CLI, DynamoDB API, or AWS CloudFormation. For more information, see https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/globaltables-disassociate.html in the Amazon DynamoDB Developer Guide.

Amazon DynamoDB global tables now support disassociating a replica without deleting its table or data. Global tables provide fully managed, multi-Region, multi-active replication. You can now stop replication to and from a replica and continue using the same table as a single-Region table. An account can leave a shared multi-account global table and continue using its table independently. You can also stop replication to a Region while keeping its table for local workloads, validation, or audit, without creating a replacement table or copying data. DynamoDB supports disassociating replicas in all AWS Regions for same-account and multi-account global tables that use multi-Region eventual consistency (MREC). To get started, use the AWS Management Console, AWS CLI, DynamoDB API, or AWS CloudFormation. For more information, see Disassociating replicas in the Amazon DynamoDB Developer Guide.

Groups Conversations All groups and messages Sign in Technical - Cloud Conversations About Privacy • Terms     Amazon DynamoDB Streams now supports timestamp-based stream processing 0 views Skip to first unread message Eyal Estrin unread, 6:47 AM (28 minutes ago)    to https://aws.amazon.com/about-aws/whats-new/2026/10/amazon-dynamodb-streams-timestamp-processing/ https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Streams.Timestamp.html Eyal Estrin Author | Cloud Architect | AWS • Azure • GCP Insights Social: @eyalestrin Connect: https://linktr.ee/eyalestrin Blog: https://security-24-7.com Reply all Reply to author Forward

    Amazon DynamoDB introduces filtered export to Amazon S3 0 views Skip to first unread message Eyal Estrin unread, 12:24 AM (12 minutes ago)    to https://aws.amazon.com/about-aws/whats-new/2026/10/amazon-dynamodb-introduces-filtered-export/ https://aws.amazon.com/blogs/database/introducing-filtered-export-from-amazon-dynamodb-to-amazon-s3/ https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/S3DataExport.HowItWorks.html https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/S3DataExport.Filtered.html Eyal Estrin Author | Cloud Architect | AWS • Azure • GCP Insights Social: @eyalestrin Connect: https://linktr.ee/eyalestrin Blog: https://security-24-7.com Reply all Reply to author Forward

Today, AWS announces the availability of Amazon DynamoDB Accelerator (DAX) in 17 additional AWS Regions: Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Asia Pacific (Jakarta), Asia Pacific (Malaysia), Asia Pacific (Melbourne), Asia Pacific (New Zealand), Asia Pacific (Osaka), Asia Pacific (Seoul), Asia Pacific (Taipei), Asia Pacific (Thailand), Canada West (Calgary), Europe (Milan), Europe (Zurich), Israel (Tel Aviv), Mexico (Central), AWS GovCloud (US-East), and AWS GovCloud (US-West). DAX is a fully managed, highly available, in-memory cache for Amazon DynamoDB that delivers up to 10 times performance improvement—from single-digit milliseconds to microseconds—even at millions of requests per second. This expansion brings DAX to more geographies, helping customers accelerate read-heavy DynamoDB workloads without managing their own cache infrastructure. With DAX, you can accelerate read-intensive and bursty workloads such as real-time bidding, gaming leaderboards, and retail product catalogs, while offloading read traffic from your DynamoDB tables. DAX is API-compatible with DynamoDB, so you can add microsecond-latency caching to your applications with minimal code changes. Customers in these Regions can now meet local data residency and low-latency requirements while benefiting from DAX's fully managed operations, including automated patching, failover, and scaling. To see the full list of Regions where DAX is available, see the following resources: AWS Capabilities by Region.

Today, AWS announces the availability of Amazon DynamoDB Accelerator (DAX) in 17 additional AWS Regions: Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Asia Pacific (Jakarta), Asia Pacific (Malaysia), Asia Pacific (Melbourne), Asia Pacific (New Zealand), Asia Pacific (Osaka), Asia Pacific (Seoul), Asia Pacific (Taipei), Asia Pacific (Thailand), Canada West (Calgary), Europe (Milan), Europe (Zurich), Israel (Tel Aviv), Mexico (Central), AWS GovCloud (US-East), and AWS GovCloud (US-West). DAX is a fully managed, highly available, in-memory cache for Amazon DynamoDB that delivers up to 10 times performance improvement—from single-digit milliseconds to microseconds—even at millions of requests per second. This expansion brings DAX to more geographies, helping customers accelerate read-heavy DynamoDB workloads without managing their own cache infrastructure. With DAX, you can accelerate read-intensive and bursty workloads such as real-time bidding, gaming leaderboards, and retail product catalogs, while offloading read traffic from your DynamoDB tables. DAX is API-compatible with DynamoDB, so you can add microsecond-latency caching to your applications with minimal code changes. Customers in these Regions can now meet local data residency and low-latency requirements while benefiting from DAX's fully managed operations, including automated patching, failover, and scaling. To see the full list of Regions where DAX is available, see the following resources: https://builder.aws.com/build/capabilities.

Amazon DynamoDB export to Amazon S3 allows you to export your table data for analytics, data sharing, and other offline uses, as either a full export or an incremental export over a time window. Filtered export enables you to specify exactly which items and attributes to export, producing a dataset that contains only the data relevant to your use case. With filtered export, you use a key condition expression on a key attribute and a filter expression on any attribute to select which items to export, and a projection expression to choose which attributes to include. The export then returns only the items and attributes you want. You can use that subset of data to perform granular data recovery, move a slice of data between accounts, or run analytics while meeting your compliance rules. Filtered export works with both full exports and incremental exports. Filtered export is available in all AWS Regions, except the AWS GovCloud (US) Regions. To get started, see the following resources: DynamoDB data export to Amazon S3 in the DynamoDB developer guide Filtering a table export in the DynamoDB developer guide Introducing filtered export from Amazon DynamoDB to Amazon S3 blog post

Amazon DynamoDB export to Amazon S3 allows you to export your table data for analytics, data sharing, and other offline uses, as either a full export or an incremental export over a time window. Filtered export enables you to specify exactly which items and attributes to export, producing a dataset that contains only the data relevant to your use case. With filtered export, you use a key condition expression on a key attribute and a filter expression on any attribute to select which items to export, and a projection expression to choose which attributes to include. The export then returns only the items and attributes you want. You can use that subset of data to perform granular data recovery, move a slice of data between accounts, or run analytics while meeting your compliance rules. Filtered export works with both full exports and incremental exports. Filtered export is available in all AWS Regions, except the AWS GovCloud (US) Regions. To get started, see the following resources: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/S3DataExport.HowItWorks.html in the DynamoDB developer guide https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/S3DataExport.Filtered.html in the DynamoDB developer guide https://aws.amazon.com/blogs/database/introducing-filtered-export-from-amazon-dynamodb-to-amazon-s3/ blog post

Starting today, Amazon DynamoDB global tables with multi-Region strong consistency (MRSC) is available in five additional AWS Regions: Canada (Central), Europe (Stockholm), Europe (Spain), Asia Pacific (Mumbai), and Asia Pacific (Singapore), bringing the total number of supported Regions to 15. You can now create an MRSC global table in any three-Region configuration across the 15 supported AWS Regions, configured with either three replicas or two replicas and one witness Region. This includes configurations that span North America, Europe, and Asia Pacific. MRSC lets you build highly available multi-Region applications with a recovery point objective (RPO) of zero. By choosing replica Regions closer to your users in more geographies, you can route applications to nearby DynamoDB endpoints for strongly consistent reads while keeping your application available during Regional impairments. MRSC is ideal for global applications with strict consistency requirements, such as user profile management, inventory tracking, order state, and entitlement management. To get started and view the complete list of supported Regions and configuration options, see the https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/V2globaltables_HowItWorks.html#V2globaltables_HowItWorks.consistency-modes.mrsc. To learn more about building resilient multi-Region applications, visit the https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/V2globaltables.tutorial.html#create-gt-mrsc.

Starting today, Amazon DynamoDB global tables with multi-Region strong consistency (MRSC) is available in five additional AWS Regions: Canada (Central), Europe (Stockholm), Europe (Spain), Asia Pacific (Mumbai), and Asia Pacific (Singapore), bringing the total number of supported Regions to 15. You can now create an MRSC global table in any three-Region configuration across the 15 supported AWS Regions, configured with either three replicas or two replicas and one witness Region. This includes configurations that span North America, Europe, and Asia Pacific. MRSC lets you build highly available multi-Region applications with a recovery point objective (RPO) of zero. By choosing replica Regions closer to your users in more geographies, you can route applications to nearby DynamoDB endpoints for strongly consistent reads while keeping your application available during Regional impairments. MRSC is ideal for global applications with strict consistency requirements, such as user profile management, inventory tracking, order state, and entitlement management. To get started and view the complete list of supported Regions and configuration options, see the DynamoDB Developer Guide. To learn more about building resilient multi-Region applications, visit the DynamoDB global tables page.

Amazon DynamoDB Streams now supports attribute-based access control (ABAC), enabling you to use tag-based conditions in your Identity and Access Management (IAM) policies to control access to your data streams. ABAC is an authorization strategy that simplifies access management by allowing you to enforce different access levels for multiple teams and applications using fewer IAM policies. This capability is built for teams that manage DynamoDB Streams access across multiple applications and environments and need finer-grained, scalable access control. With ABAC for DynamoDB Streams, you can attach up to 50 tags to each stream and use these tags in IAM policy conditions to grant or deny access to specific actions. For example, you can allow users to read records only from streams tagged with "environment:production" while restricting access to other environments. Stream tags are managed independently from their parent table tags, giving you flexibility to implement environment segregation, team-based isolation, and compliance requirements without creating numerous individual IAM policies. ABAC for DynamoDB Streams is in all commercial AWS Regions and AWS GovCloud (US) Regions where Amazon DynamoDB Streams is available. There is no additional cost to use ABAC for DynamoDB Streams. To learn more, visit the Amazon DynamoDB page and see the Amazon DynamoDB Streams ABAC.

Amazon DynamoDB Streams now supports attribute-based access control (ABAC), enabling you to use tag-based conditions in your Identity and Access Management (IAM) policies to control access to your data streams. ABAC is an authorization strategy that simplifies access management by allowing you to enforce different access levels for multiple teams and applications using fewer IAM policies. This capability is built for teams that manage DynamoDB Streams access across multiple applications and environments and need finer-grained, scalable access control. With ABAC for DynamoDB Streams, you can attach up to 50 tags to each stream and use these tags in IAM policy conditions to grant or deny access to specific actions. For example, you can allow users to read records only from streams tagged with "environment:production" while restricting access to other environments. Stream tags are managed independently from their parent table tags, giving you flexibility to implement environment segregation, team-based isolation, and compliance requirements without creating numerous individual IAM policies. ABAC for DynamoDB Streams is in all commercial AWS Regions and AWS GovCloud (US) Regions where Amazon DynamoDB Streams is available. There is no additional cost to use ABAC for DynamoDB Streams. To learn more, visit the https://aws.amazon.com/dynamodb page and see the https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/abac-streams.html.

この記事ではAmazonDynamoDBで全文検索を実装することでコストを大幅に抑える方法をご紹介しますこの記事はAWSDynamoDBで超低コストな全文検索を実装しよう設計

この記事ではAmazonDynamoDBで全文検索を実装することでコストを大幅に抑える方法をご紹介しますこの記事はAWSDynamoDBで超低コストな全文検索を実装しよう設計

本日AmazonOpenSearchServiceとAmazonDynamoDBzeroETLの統合が一般公開されたことをお知らせしますこれによりカスタムコードやインフラストラクチャを必要とせずにDynamoDBデータを自動的に複製および変換して検索を実行できますこのzeroETL統合によりデータパイプラインアーキテクチャのコードの記述データの同期頻繁なアプリケーション変更によるコードの更新に伴うオペレーション上の負担とコストが軽減されアプリケーションに集中できるようになりますこのzeroETL統合によりAmazonDynamoDBを利用するお客様は全文検索あいまい検索オートコンプリート機械学習ML用のベクトル検索などAmazonOpenSearchServiceの強力な検索機能を使用してユーザーエンゲージメントを高めアプリケーションに対する満足度を向上させる新しいエクスペリエンスを提供できるようになりました

データアナリティクス事業本部機械学習チームの鈴木ですreInventのキーノートのうち現在開催中のDrSwamiSivasubramanianKeynoteでAmazonDocumentDBお

はじめにこの記事はDevOpsonAWS大全の一部ですDevOpsonAWS大全の一覧はこちらこの記事ではAmazonDynamoDBを耐障害性の観点から超詳細解説しています

第回年月日ちょっぴりDDではDisasterRecoveertDRをテーマとしてちょっぴりDiveDeepしました過去の開催報告はこちらからご確認いただけます東京リージョンが使用できない事態を想定したPilotLightをベースにしたDR対策をご紹介しますPilotLightベースを選択した理由や障害発生時のフェールオーバーやフェールバックの定義決めからBCPテストの実施計画などの運用的な話から対応内容のAmazonDynamoDBやAWSKeyManagementServiceといった利用するAWSサービスにおいてDRのために実施した技術的な対応内容についてお伝えしますスピーカー株式会社WorksHumanIntelligence兒玉拓也氏

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