AWS★★★★
Amazon S3 Vectors now supports pre-filtering, which evaluates metadata filters before running similarity search, returning up to 5x more of the matching vectors when your filter is selective. S3 Vectors also adds a prefix match operator ($startsWith) for filtering on values like paths and URLs. Together, these improvements give your retrieval-augmented generation (RAG), agentic, and semantic-search applications more complete results when you filter, so your applications return more relevant answers. S3 Vectors provides native support to store and query vectors in Amazon S3, delivering purpose-built, cost-optimized vector storage and query at…
AWS★★★★
Amazon Managed Grafana now supports creating new workspaces with Grafana version 13.2. This release brings features from open-source Grafana versions 13.0 to 13.2, including Git Sync for dashboards, dynamic dashboards, and PromQL query support in the Amazon CloudWatch data source plugin. With Git Sync, you can treat dashboards as code by linking a workspace to a Git repository, enabling version control for tracking, reviewing, and reverting dashboard modifications. Dynamic dashboards provide a more adaptable approach to layout and paneling, constructing responsive views driven by conditions that respond to data and variables. The Amazon Clou…
AWS★★★★
AWS Parallel Computing Service (AWS PCS) now supports scaling logs, which record how AWS PCS scales the compute node groups in your cluster. Each log entry records one state transition for one compute node—for example, an instance launch, a node registration, a scale-down, or a launch failure with its reason. Using scaling logs, you can more easily troubleshoot scaling issues. For example, you can determine why a compute node group did not reach its target size, which launches failed for capacity reasons, and when a specific node started or stopped. Scaling log delivery is opt-in, and you can configure AWS PCS to emit scaling logs to Amazon …
AWS★★★★
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. When the workload finishes, Aurora serverless automatically scales down to zero, so you only pay for what you use. This makes it especially well-suited for agentic AI applications, which typically have bursts of activity, long idle windows, and unpredictable traffic patterns. This enhancement is enabled by default on all Aurora serverless clusters running on platform version 3 …
AWS★★★★
Amazon RDS for PostgreSQL, MySQL, and MariaDB now support M8a database instances powered by 5th generation AMD EPYC processors, expanding the choice available for your database workloads. Each vCPU in M8a database instances corresponds to a physical CPU core, which delivers consistent per-core performance. For workloads with high I/O requirements, M8a instances provide up to 75 Gbps of network bandwidth and 60 Gbps of Amazon EBS bandwidth. All instances are built on the AWS Nitro System using sixth-generation Nitro Cards. M8a database instances are available in US East (N. Virginia, Ohio), US West (Oregon), Asia Pacific (Mumbai, Tokyo, Hyder…
AWS★★★★
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. For workloads with high I/O requirements, R8a instances provide up to 75 Gbps of network bandwidth and 60 Gbps of Amazon EBS bandwidth. All R8a instances are built on the AWS Nitro System using sixth-generation Nitro Cards. R8a database instances are supported for Amazon Aurora PostgreSQL-Compatible Edition, Amazon Aurora MySQL-Compatible Edition, RDS for …
AWS★★★★
AWS CloudTrail introduces Event Coverage, a new console experience that gives customers visibility into their data plane operations coverage at the account and organization level. You can now see which AWS services and resource types in your environment have data event logging enabled and which do not. This helps you quickly identify gaps in your logging posture without manually scanning accounts in your organization. Data events enable you to track data plane operations in AWS services. For example, you can log Amazon S3 object-level operations like GetObject and PutObject to detect unauthorized data access or exfiltration attempts. Without…
AWS★★★★
AWS announces the general availability of the AWS Marketplace metering agent skill, an AI-guided experience that helps sellers build, deploy, and validate a usage-based (pay-as-you-go) SaaS metering integration from within their AI coding assistant. The skill guides sellers through the complete integration journey — gathering their product type, pricing model, and usage dimensions; recommending the correct metering API; generating integration code and a customized AWS CloudFormation stack tailored to their configuration; and running an end-to-end test against AWS Marketplace before any production code ships. Previously, sellers integrating m…
AWS★★★★
Amazon S3 Tables add support for geometry, geography, unknown, and nanosecond timestamp data types, along with column default values, as defined in the Apache Iceberg Version 3 (V3) specification. You can now store geospatial coordinates and nanosecond-precision event times natively instead of encoding them in strings or integers. This helps simplify data architecture while improving storage efficiency and performance. With this launch, S3 Tables support all data types introduced in V3, adding to existing support for the Variant data type, deletion vectors, and row lineage. Geometry and geography columns store points, lines, and polygons nat…
AWS★★★★
Amazon EC2 Future-dated Capacity Reservations let you secure capacity up to 120 days in advance by specifying the capacity you need, the start date, and a commitment duration. If your plans change before delivery, you can now postpone your start date to match your new timeline. When you postpone your start date, EC2 presents a quote that shows the new start date and the required commitment duration. The commitment duration can increase, depending on when you postpone the start date. After you review and accept the quote, EC2 updates your reservation with the new start date. This feature is available to all Future-dated Capacity Reservation c…
AWS★★★★
For developers building MongoDB-compatible applications, retryable writes improve application resilience during transient errors such as network interruptions or primary failovers. Amazon DocumentDB (with MongoDB compatibility) now supports retryable writes starting with engine version 8.0.2, eliminating the need for additional code changes when enabling this capability. With retryable writes, the MongoDB driver automatically retries certain write operations one time if a transient error occurs. Most current MongoDB-compatible drivers enable retryable writes by default. With this release, applications connecting to Amazon DocumentDB 8.0.2 no…
AWS★★★★
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. Key new capabilities in version 8.0.2 include: - Retryable Writes — insert, update, and delete operations automatically retry on transient network errors, improving application resilience during failovers. - New aggregation stages — $setWindowFields (with its full set of window operators), $bucketA…
