Releasesby Glyph
Amazon ElastiCache Global Datastore now supports tagging and tag-based access control
Amazon ElastiCache now supports resource tagging and tag-based access control (TBAC) for Global Datastore. Previously, ElastiCache supported tagging on all resources except Global Datastore, which prevented customers from applying a single, consistent permission and cost-allocation model across their ElastiCache fleet.
Also shipped Sep 24, 2026AWS in September 2026 →
DCM Projects capability updates
This release updates the availability of several DCM Projects capabilities. The following capabilities are now generally available: The following capabilities are now available in preview:
Alpha Changelog - 9/23/26
Hi everyone, here are the latest round of changes on alpha.midjourney.com . Many of these came directly from your feedback in #alpha-ideas-and-bugs . Please keep it coming! STYLE PREVIEWS We're experimenting with fast models in the interface.
New project activity feed
As part of our ongoing work to simplify the Netlify dashboard, we’ve added an activity feed to the project overview page. It’s available on all plans and adapts to how your project is set up.
Retool CLI
Live on cloud • Team • Business • Enterprise Public beta 4.62 Edge • Team • Business • Enterprise Public beta 4.34.4 Stable • Team • Business • Enterprise Public beta The Retool CLI is now available in public beta.
Buildkite Cache is now in public preview
Buildkite Cache is now available in public preview. It saves and restores files and directories across pipeline jobs and builds. Use it for package manager download caches, compiled dependencies, and other regenerable data to avoid repeating work.
Service principal Genie usage is billed at standard pricing
Genie usage by service principals is now billed at standard Genie pay-as-you-go pricing. Service principals are excluded from the free monthly usage allowance that applies to individual users. See Manage budgets and cost controls for Genie and Monitor and understand your Genie cost .
More from Amazon Aurora and DynamoDBEvery Amazon Aurora and DynamoDB release →
Amazon DynamoDB global tables with multi-Region strong consistency now supports additional AWS Regions and cross-continent configurations
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.
Amazon DocumentDB (with MongoDB compatibility) adds support for 5 MongoDB aggregation stages and change stream capabilities in version 8.0.2
Amazon DocumentDB (with MongoDB compatibility) now supports retryable writes, 5 new aggregation stages, and change stream enhancements starting from minor version 8.0.2. This release expands MongoDB API compatibility and improves query performance, making it easier to migrate MongoDB workloads to Amazon DocumentDB without application code changes.
Amazon DocumentDB (with MongoDB compatibility) now supports retryable writes
For developers building MongoDB-compatible applications, retryable writes improve application resilience during transient errors such as network interruptions or primary failovers.
Amazon Aurora now supports PostgreSQL 18.6, 17.11, 16.15, 15.19, 14.24
Amazon Aurora PostgreSQL-Compatible Edition now supports PostgreSQL versions 18.6, 17.11, 16.15, 15.19, and 14.24, which include bug fixes from the PostgreSQL community and Aurora-specific enhancements.
Amazon ElastiCache Serverless for Valkey now supports public endpoints
Amazon ElastiCache Serverless for Valkey now supports public endpoints, letting you connect to your cache directly from a laptop, a serverless function, or any application running outside AWS, without setting up a VPN, a bastion host, or an SSH tunnel.
Amazon Aurora PostgreSQL now supports direct querying of Apache Iceberg and Parquet data in your data lake
Amazon Aurora PostgreSQL now supports direct queries of data stored in Apache Iceberg and Parquet formats within data lakes. This eliminates the need for ETL pipelines when combining transactional data with historical records.
Amazon Aurora serverless now scales faster to support agentic AI and other bursty workloads
Amazon Aurora serverless now scales in even larger steps, adding up to 16 ACUs to its current capacity within a second and continuing to scale up to 256 ACUs as your workload grows. With this launch, your workload will scale faster and reach capacity that it requires.
Amazon Aurora and RDS now support AMD-based R8a instances
Amazon Aurora and Amazon RDS now support R8a database instances powered by 5th generation AMD EPYC processors, expanding the choice available for your database workloads. Each vCPU in R8a database instances corresponds to a physical CPU core, which delivers consistent per-core performance.