3/27/2026, 12:00:00 AM ~ 3/30/2026, 12:00:00 AM (UTC)
Recent Announcements
Amazon Timestream for InfluxDB Now Supports Advanced Metrics
Amazon Timestream for InfluxDB now offers Advanced Metrics, providing comprehensive visibility into your database performance and health. This new capability automatically publishes detailed operational metrics from your Timestream for InfluxDB 2 instances directly to Amazon CloudWatch, enabling real-time monitoring and alerting without requiring additional configuration or instrumentation for both Single-AZ and Multi-AZ Timestream for InfluxDB 2 databases.\n With Advanced Metrics, customers can track critical database performance indicators, set up custom dashboards, and configure automated alerts based on predefined thresholds. This enhanced observability helps DevOps teams quickly identify potential issues, optimize database performance, and ensure high availability for time-series applications by providing deeper insights into resource utilization, query performance, and system health across their InfluxDB 2 environments. Amazon Timestream for InfluxDB Advanced Metrics is available in all Regions where Timestream for InfluxDB is offered. To get started with Amazon Timestream for InfluxDB, visit the Amazon Timestream for InfluxDB console. For more information, see the Amazon Timestream for InfluxDB documentation and pricing page.
Amazon CloudWatch Logs now supports expanded analytics and data protection capabilities for the Infrequent Access (Logs IA) ingestion class, including support for data protection, OpenSearch’s Piped Processing Language (PPL) and OpenSearch SQL. These enhancements make it easier for customers to perform flexible analytics and protect sensitive data while cost-effectively consolidating all your logs natively on AWS, making Logs IA ideal for ad-hoc troubleshooting and forensic analysis on infrequently accessed logs.\n Logs IA is a cost-effective ingestion class for consolidating logs that are queried occasionally, such as forensic investigations. Logs IA currently offers log analytics with Logs Insights Query Language, export to S3, and encryption with a lower ingestion price per GB compared to the Standard log class. With today’s launch, customers can now use OpenSearch SQL and OpenSearch PPL queries to perform advanced analytics. In addition, data protection allows customers to automatically detect and mask sensitive information in logs, helping organizations meet security and compliance requirements.
Learn more about CloudWatch Logs IA pricing and read the user guide here. For Regional availability, visit the AWS Builder Center.
AWS Lambda supports up to 32 GB of memory and 16 vCPUs for Lambda Managed Instances
AWS Lambda now supports up to 32 GB of memory and 16 vCPUs for functions running on Lambda Managed Instances, enabling customers to run compute-intensive workloads such as large-scale data processing, media transcoding, and scientific simulations without managing any infrastructure. Customers can also configure the memory-to-vCPU ratio — 2:1, 4:1, or 8:1 — to match the resource profile of their workload. Lambda Managed Instances lets you run Lambda functions on managed Amazon EC2 instances with built-in routing, load balancing, and auto-scaling, giving you access to specialized compute configurations including the latest-generation processors and high-bandwidth networking, with no operational overhead.\n Customers building compute-intensive applications such as data processing pipelines, high-throughput API backends, and batch computation workloads require substantial memory and CPU resources to process large datasets, serve low-latency responses at scale, and run complex computations efficiently. Previously, function execution environments on Lambda were limited to 10 GB of memory and approximately 6 vCPUs, with no option to customize the memory-to-vCPU ratio. Functions on Lambda Managed Instances can now be configured with up to 32 GB of memory, and a choice of memory-to-vCPU ratio — 2:1, 4:1, or 8:1 — allowing customers to select the right balance of memory and compute for their workload. For example, at 32 GB of memory, customers can configure 16 vCPUs (2:1), 8 vCPUs (4:1), or 4 vCPUs (8:1) depending on whether their workload is CPU-intensive or memory-intensive. This feature is available in all AWS Regions where Lambda Managed Instances is generally available. You can configure these settings using the AWS Console, AWS CLI, AWS CloudFormation, AWS CDK, or AWS SAM. To learn more, visit the AWS Lambda Managed Instances product page and documentation.
AWS Management Console now supports settings to control service and Region visibility
Today, AWS announces the general availability of Visible services and Visible Regions account settings in the AWS Management Console. These settings allow you to customize which services and regions appear in the Management Console for authorized users in your account, helping your users easily identify what is available to them and simplifying navigation.\n You can configure these settings in the AWS Management Console under Unified Settings in the Account Settings tab. You can also configure these setting programmatically via User Experience Customization (UXC) in AWS Command Line Interface (CLI), AWS Software Development Kits (SDKs), AWS Cloud Development Kit (CDK), or AWS CloudFormation. The Visible services and Visible Regions settings are available in AWS Commercial Regions at no additional cost. Visit the AWS User Experience Customization documentation page and API guide to learn more.
Amazon GameLift Servers expands instance support with next-generation EC2 instance families
Amazon GameLift Servers now supports Amazon EC2 5th through 8th generation instances, offering enhanced price-performance, efficiency, and flexibility for game server hosting. This update allows developers to leverage the latest advancements in EC2 compute, memory, and networking across three main instance families:\n
General Purpose (M-series): Balanced CPU, memory, and networking for a wide range of game workloads.
Compute Optimized (C-series): High-performance compute instances with a 2:1 memory ratio, ideal for CPU-intensive game servers.
Memory Optimized (R-Series): Optimized for high-memory workloads with an 8:1 memory ratio, supporting complex simulations and large player sessions.
Each new EC2 generation brings significant improvements:
5th Gen: Proven reliability with Intel processors with balanced performance
6th Gen: Includes AWS Graviton2 ARM-based options alongside Intel and AMD variants offering enhanced price-performance efficiency.
7th Gen: The latest evolution featuring DDR5 memory, enhanced networking, and offering significant performance gains over previous generations.
8th Gen: Cutting-edge AWS Graviton4 and Intel Xeon-based instances for demanding workloads
Customers can also choose variants with local storage (d), enhanced networking (n), and different processor architectures (Intel, AMD, Graviton – i/a/g). This update empowers developers with greater flexibility, scalability, and cost efficiency to optimize game server performance. Customers can now seamlessly transition workloads to newer EC2 generations, leveraging AWS’s continuous innovation for building, scaling, and operating multiplayer games globally. These next-generation instances are available in Amazon GameLift Servers supported regions, except AWS China. For more information on launching fleets with next-generation EC2 instances, visit the Amazon GameLift Servers documentation and EC2 Instance Types overview.
AWS HealthImaging announces study-level fine-grained access control
AWS HealthImaging now supports fine-grained access control, enabling organizations to securely manage access to medical imaging data at the DICOM study and series levels. Medical imaging workflows are typically organized around DICOM studies, which are stored in AWS HealthImaging as one or more image set resources. Now customers can easily grant users access to all image sets for a set of DICOM Studies or Series with easy-to-maintain IAM policies.\n Customers can now grant permissions for DICOMweb APIs using DICOM Study Instance UIDs and Series Instance UIDs directly in their IAM policies, eliminating the need to list individual image set ARNs. Customers can now create dynamic, temporary access grants using AWS Security Token Service (STS) session policies with low-latency authentication. This capability provides enhanced protection for Protected Health Information (PHI) by scoping access grants to specific Studies or Series rather than entire data stores. This launch better supports use cases such as pathologist case-level access, radiology study sharing with external partners, and controlled research data distribution. To learn more, see the AWS HealthImaging Developer Guide.
AWS HealthImaging is a HIPAA-eligible service that empowers healthcare providers, life sciences organizations, and their software partners to store, analyze, and share medical images. AWS HealthImaging is generally available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Sydney), Europe (Ireland), and Europe (London).
AWS Blogs
AWS Japan Blog (Japanese)
- Building a modern network for VMware workloads on Amazon Elastic VMware Service
- Claude Code on Amazon Bedrock deployment patterns and best practices
- Announcing the creation of an Amazon Aurora PostgreSQL serverless database in seconds