AWS★★★★★
Amazon Elastic Container Service (Amazon ECS) now support non-critical Managed Daemons for ECS Managed Instances. You can configure a daemon as non-critical so that your mission-critical application tasks continue running uninterrupted, even when a daemon fails, stops, or becomes unhealthy. Amazon ECS Managed Daemons lets you centrally deploy and manage software agents independently of application deployments to ensure consistent coverage and compliance across your container infrastructure. For some mission-critical applications, uninterrupted execution of application tasks may matter more than auxiliary daemon functionality like logging or …
AWS★★★★★
Starting today, Amazon Aurora MySQL supports two new replication capabilities: multi-source replication and delayed replication. Multi-source replication lets a single Aurora MySQL cluster replicate from multiple source databases at the same time, making it easier to consolidate data from separate MySQL databases. This enables critical use-cases, such as merging shards or aggregating data from separate databases (e.g. regional or departmental instances) into a central location for operational workflows, such as reporting and backups. To learn more, please refer to the MySQL multi-source replication documentation. Delayed replication lets you…
AWS★★★★
Amazon Elastic Container Service (Amazon ECS) now supports built-in blue/green, linear, and canary deployment strategies for ECS services using Amazon VPC Lattice. Applications that use VPC Lattice for service-to-service communication across VPCs and AWS accounts can now take advantage of managed traffic shifting natively from Amazon ECS when rolling out updates. With this launch, ECS customers using VPC Lattice can shift traffic in a controlled manner during deployments, choosing how quickly traffic moves based on their confidence in each release: all at once with blue/green, in equal increments with linear, or starting with a small percent…
AWS★★★★
Amazon Bedrock AgentCore Gateway now supports TLS certificates signed by private certificate authorities (CAs) on MCP, OpenAPI, and HTTP proxy targets. This feature enables you to connect securely to gateway targets that use TLS certificates issued by your own private certificate authority. With this feature, you can establish native connections to private endpoints in your VPC without requiring an intermediate Application Load Balancer. You can register a private CA certificate with gateway targets that use private endpoints powered by Amazon VPC Lattice. The gateway fetches your PEM-encoded CA certificate from Amazon S3 or AWS Secrets Mana…
AWS★★★★
Amazon DynamoDB now supports filtered export for tables. 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 ite…
AWS★★★★
Amazon S3 Object Lock support for variable retention with event holds is now available in AWS GovCloud (US-East) and AWS GovCloud (US-West). Amazon S3 Object Lock variable retention allows you to apply write-once-read-many (WORM) protection to objects whose required retention period starts with a future event, such as a contract closing or an audit completing. You place an event hold with a retention duration on an object and S3 protects the object while the hold is in place. When you release the hold, S3 retains the object for the duration you specified. Unlike legal holds, which end protection immediately upon removal, event holds provide …
AWS★★★★
AWS Glue Data Catalog now supports table optimization, statistics, and crawlers for Apache Iceberg Version 3 (V3) tables. With these new capabilities, you can automatically maintain V3 tables, optimize them for query performance, and discover them in Amazon S3. With table optimization, you can compact V3 tables using binpack, sort, or z-order strategies to improve query performance, and remove expired snapshots and orphan files to reduce storage costs. These optimizations support V3 data types, including variant, geospatial, and nanosecond-precision timestamps. You can also generate number of distinct values (NDV) statistics for V3 tables, w…
AWS★★★★
Amazon S3 Tables now support up to 100 table buckets per AWS Region in an AWS account, increased from 10. This allows you to create up to 1 million tables per AWS Region in an AWS account. With a higher table bucket allowance, you can create a separate table bucket for each dataset, workload, or team, and apply table bucket-level settings such as encryption, access policies, and replication to each. The higher quota applies by default to all accounts at no additional cost. S3 Tables deliver the first cloud object store with built-in Apache Iceberg support, and the easiest way to store tabular data at scale. S3 Tables perform continual table …
AWS★★★★
Today, AWS announces system-managed materialized views for Apache Iceberg. Materialized views let you precompute an expensive query once and reuse the result across engines. Because this result is an open Iceberg table in your data lake, anyone with write access can change it, either through the catalog or by writing to the files in Amazon S3. System-managed materialized views close this gap by only allowing AWS Glue to write the materialized view's data and definition, so the result stays exactly as computed regardless of who has write access to the table or the underlying S3 files. To get started, write the SQL that defines the materialize…
AWS★★★★
Amazon S3 Tables now support all data types in the Apache Iceberg V3 spec, along with column default values, deletion vectors, and row lineage. Upgrade existing V2 tables or create new V3 tables with built-in compaction, maintenance, and engine compatibility.
AWS★★★★
Today, AWS announces system-managed materialized views for Apache Iceberg. Materialized views let you precompute an expensive query once and reuse the result across engines. Because this result is an open Iceberg table in your data lake, anyone with write access can change it, either through the catalog or by writing to the files in Amazon S3. System-managed materialized views close this gap by only allowing AWS Glue to write the materialized view's data and definition, so the result stays exactly as computed regardless of who has write access to the table or the underlying S3 files. To get started, write the SQL that defines the materialize…
AWS★★★★
Amazon S3 Vectors now supports metadata pre filtering, delivering up to 5x higher recall on filtered searches. Filters evaluate before similarity search so scoped queries return more relevant results. Ideal for RAG, agentic apps, and document search.
