11/5/2025, 12:00:00 AM ~ 11/6/2025, 12:00:00 AM (UTC)
Recent Announcements
Amazon CloudWatch Database Insights expands anomaly detection in on-demand analysis
Amazon CloudWatch Database Insights now detects anomalies on additional metrics through its on-demand analysis experience. Database Insights is a monitoring and diagnostics solution that helps database administrators and application developers optimize database performance by providing comprehensive visibility into database metrics, query performance, and resource utilization patterns. The on-demand analysis feature utilizes machine learning to help identify anomalies and performance bottlenecks during the selected time period, and gives advice on what to do next.\n The Database Insights on-demand analysis feature now offers enhanced anomaly detection capabilities. Previously, database administrators could analyze database performance and correlate metrics based on database load. Now, the on-demand analysis report also identifies anomalies in database-level and operating system-level counter metrics for the database instance, as well as per-SQL metrics for the top SQL statements contributing to database load. The feature automatically compares your selected time period against normal baseline performance, identifies anomalies, and provides specific remediation advice while reducing mean time to diagnosis. Through intuitive visualizations and clear explanations, you can quickly identify performance issues and receive step-by-step guidance for resolution. You can get started with on-demand analysis by enabling the Advanced mode of CloudWatch Database Insights on your Amazon Aurora or RDS databases using the AWS management console, AWS APIs, or AWS CloudFormation. Please refer to RDS documentation and Aurora documentation for information regarding the availability of Database Insights across different regions, engines, and instance classes.
Amazon FSx now integrates with AWS Secrets Manager, enabling enhanced protection and management of the Active Directory domain service account credentials for your FSx for Windows File Server file systems and FSx for NetApp ONTAP Storage Virtual Machines (SVMs).\n Previously, if you wanted to join your FSx for Windows file system or FSx for ONTAP SVM to your Active Directory domain for user authentication and access control, you needed to specify the username and password for your service account in the Amazon FSx Console, Amazon FSx API, AWS CLI, or AWS CloudFormation. With this launch, you can now specify an AWS Secrets Manager secret containing the service account credentials, enabling you to strengthen your security posture by eliminating the need to store plain text credentials in application code or configuration files, and aligning with best practices for credential management. Additionally, you can use AWS Secrets Manager to rotate your Active Directory credentials and consume them when needed in FSx workloads. You can now use AWS Secrets Manager to store your domain join service credentials for all FSx for Windows file systems and FSx for ONTAP Storage Virtual Machines in all AWS Regions where they are available. For more information, see Amazon FSx for Windows File Server documentation and Amazon FSx for NetApp ONTAP documentation.
Announcing New EC2 R8a Memory-Optimized Instances
AWS is announcing the general availability of new memory-optimized Amazon EC2 R8a instances. R8a instances, feature 5th Gen AMD EPYC processors (formerly code named Turin) with a maximum frequency of 4.5 GHz, deliver up to 30% higher performance, and up to 19% better price-performance compared to R7a instances.\n R8a instances deliver 45% more memory bandwidth compared to R7a instances, making these instances ideal for latency sensitive workloads. Compared to Amazon EC2 R7a instances, R8a instances provide up to 60% faster performance for GroovyJVM, allowing higher request throughput and better response times for business-critical applications. Built on the AWS Nitro System using sixth generation Nitro Cards, R8a instances are ideal for high performance, memory-intensive workloads, such as SQL and NoSQL databases, distributed web scale in-memory caches, in-memory databases, real-time big data analytics, and Electronic Design Automation (EDA) applications. R8a instances offer 12 sizes including 2 bare metal sizes. Amazon EC2 R8a instances are SAP-certified, and providing 38% more SAPS compared to R7a instances. R8a instances are available in the following AWS Regions: US East (N. Virginia), US East (Ohio), and US West (Oregon) regions. To get started, sign in to the AWS Management Console. Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information visit the Amazon EC2 R8a instance page.
Amazon GameLift Streams adds AWS Health notifications for aging resources
Amazon GameLift Streams is now integrated with AWS Health and will provide automated notifications about aging stream groups. Customers are sent regular reminders via AWS Health to re-create their stream groups starting as early as the 45th day to the 335th day from the stream group creation date. Stream groups older than 180 days are restricted from adding new applications and automatically expire after the 365th day.\n This feature strengthens our customer’s security posture by helping customers manage the lifecycle of stream groups and prevent the use of outdated resources that might be missing updates. While the customer focuses on their game development, the service helps maintain the health of their resources. AWS Health will send a reminder to the linked account on the 45th day and on the 150th day from the stream group creation day, informing customers that the stream group will be restricted from adding new applications after the 180-day. A last reminder to re-create the stream group will be sent on 335th day informing customers that the stream group will expire on the 365th day. This feature is available in all AWS Regions where Amazon GameLift Streams is offered at no additional cost. Maintenance warnings or the expiration date of a stream group can be viewed on the Stream group details page on the service console, or by using the ExpiresAt field in the GetStreamGroup API response. To learn more about managing your stream groups and configuring notifications, visit the Amazon GameLift documentation on Stream group lifecycle.
Amazon Keyspaces (for Apache Cassandra) now supports Multi-Region Replication in the Middle East (Bahrain) and Asia Pacific (Hong Kong) Regions. With this expansion, customers can now replicate their Amazon Keyspaces tables to and from these Regions, enabling lower latency access to data and improved regional resiliency.\n Amazon Keyspaces Multi-Region Replication automatically replicates data across AWS Regions with typically less than a second of replication lag, allowing applications to read and write data to the same table in multiple Regions. This capability helps customers build globally distributed applications that can serve users with low latency regardless of their location, while also providing business continuity in the event of a regional disruption. The addition of Multi-Region Replication support in Middle East (Bahrain) and Asia Pacific (Hong Kong) enables organizations operating in these regions to build highly available applications that can maintain consistent performance for users across the Middle East and Asia Pacific. Customers can now replicate their Keyspaces tables between these regions and any other supported AWS Region without managing complex replication infrastructure. You pay only for the resources you use, including data storage, read/write capacity, and writes in each Region of your multi-Region keyspace. To learn more about Amazon Keyspaces Multi-Region Replication and its regional availability, visit the Amazon Keyspaces documentation.
Amazon CloudWatch Application Signals adds AI-powered Synthetics debugging
Amazon CloudWatch Application Signals Model Context Protocol or MCP Server for Application Performance Monitoring (APM) now integrates CloudWatch Synthetics canary monitoring directly into its audit framework, enabling automated, AI-powered debugging of synthetic monitoring failures. DevOps teams and developers can now use natural language questions like ‘Why is my checkout canary failing?’ in compatible AI assistants such as Amazon Q, Claude, or other supported assistants to utilize the new AI-powered debugged capabilities and quickly distinguish between canary infrastructure issues and actual service problems, addressing the significant challenge of extensive manual analysis in maintaining reliable synthetic monitoring.\n The integration extends Application Signals’ existing multi-signal (services, operations, SLOs, golden signals) analysis capabilities to include comprehensive canary diagnostics. The new feature automatically correlates canary failures with service health metrics, traces, and dependencies through an intelligent audit pipeline. Starting from natural language prompts from users, the system performs multi-layered diagnostic analysis across six major areas: Network Issues, Authentication Failures, Performance Problems, Script Errors, Infrastructure Issues, and Service Dependencies. This analysis includes automated comparison of HTTP Archive or HAR files, CloudWatch logs analysis, S3 artifact examination, and configuration validation, significantly reducing the time needed to identify and resolve synthetic monitoring issues. Customers can then access these insights through natural language interactions with supported AI assistants. This feature is available in all commercial AWS regions where Amazon CloudWatch Synthetics is offered. Customers will need access to a compatible AI agent such as Amazon Q, Claude, or other supported AI assistants to utilize the AI-powered debugging capabilities. To learn more about implementing AI-based debugging for your synthetic monitoring, visit the CloudWatch Application Signals MCP Server documentation.
AWS Marketplace now open for India-based sellers supporting transactions in Indian Rupees (INR)
Buyers and sellers in India can now transact locally in AWS Marketplace, with invoicing in Indian Rupees (INR), and with simplified tax compliance through AWS India. With this launch, India-based sellers can now register to sell in AWS Marketplace and offer paid subscriptions to buyers in India. India-based sellers will be able to create private offers in US dollars (USD) or INR. Buyers in India purchasing paid offerings in AWS Marketplace from India-based sellers will receive invoices in INR, helping to simplify invoicing with consistency across AWS Cloud and AWS Marketplace purchases. Sellers based in India can begin selling paid offerings in AWS Marketplace and can work with India-based Channel Partners to sell to customers.\n AWS India will facilitate the issuance of tax-compliant invoices in INR to buyers, with the independent software vendor (ISV) or Channel Partner as the seller of record. AWS India will automate the collection and remittance of Withholding Tax (WHT) and GST-Tax Collected at Source (GST-TCS) to the relevant tax authorities, fulfilling compliance requirements for buyers. During this phase, non-India based sellers can continue to sell directly to buyers in India through AWS Inc., in USD or through AWS India by working through authorized distributors. To learn more and explore solutions available from India-based sellers, visit this page. To get started as a seller, India-based ISVs and Channel Partners can register in the AWS Marketplace Management Portal. For more information about buying or selling using AWS Marketplace in India, visit the India FAQs page and help guide.
Microsoft SQL Server Developer Edition now available through AWS Launch Wizard
AWS Launch Wizard now offers a guided approach to sizing, configuring, and deploying Windows Server EC2 instances with Microsoft SQL Server Developer Edition installed from your own media. AWS Launch Wizard for SQL Server Developer Edition allows you to simplify launching cost-effective and full-featured SQL Server instances on Amazon EC2, making it ideal for developers building non-production and test database environments.\n This feature is ideal for customers who also have existing non-production databases running SQL Server Enterprise Edition or SQL Server Standard Edition, as migrating the non-production databases to SQL Server Developer Edition will reduce SQL license costs while maintaining feature parity. This feature is available in all supported commercial AWS Regions and the AWS GovCloud (US) Regions. To learn more, see the AWS Launch Wizard for SQL Server User Guide and blog post here.
AWS Glue Schema Registry adds support for C#
AWS Glue Schema Registry (GSR) has now expanded the programming language support for GSR Client library to include C# support along with existing Java support. C# applications integrating with Apache Kafka or Amazon Managed Streaming for Apache Kafka (Amazon MSK), Amazon Kinesis Data Streams, and Apache Flink or Amazon Managed Service for Apache Flink can now interact with AWS Glue Schema Registry to maintain data quality and schema compatibility in streaming data applications.\n AWS Glue Schema Registry, a serverless feature of AWS Glue, enables you to validate and control the evolution of streaming data using registered schemas at no additional charge. Schemas define the structure and format of data records produced by applications. Using AWS Glue Schema Registry, you can centrally manage and enforce schema definitions across your data ecosystem. This ensures consistency of schemas across applications and enables seamless data integration between producers and consumers. Through centralized schema validation, teams can maintain data quality standards and evolve their schemas in a controlled manner.
C# support is available across all AWS regions where Glue Schema Registry is available. Visit the Glue Schema Registry developer guide, and SDK to get started with C# integration.
Amazon Cloudfront adds IPv6 support for Anycast Static IPs
Amazon CloudFront now supports both IPv4 and IPv6 addresses for Anycast Static IP configurations. Previously, this feature was limited to IPv4 addresses only. This update now provides customers with ability to have both IPv4 and IPv6 addresses when using CloudFront Anycast Static IP addresses.\n Previously, customers could only use IPv4 addresses when using CloudFront Anycast static IP addresses. With this launch, customers using CloudFront Anycast Static IP addresses receive both IPv4 and IPv6 addresses for their workloads. This dual-stack support allows customers to meet IPv6 compliance requirements, future-proof their infrastructure, and serve end users on IPv6-only networks. CloudFront supports IPv6 for Anycast Static IPs from all edge locations. This excludes Amazon Web Services China (Beijing) region, operated by Sinnet, and the Amazon Web Services China (Ningxia) region, operated by NWCD. Learn more about Anycast Static IPs here and for more information, please refer to the Amazon CloudFront Developer Guide. For pricing, please see CloudFront Pricing.
AWS Blogs
AWS Japan Blog (Japanese)
- Monthly AWS Manufacturing 2025/11 issue
- Accelerating SQL Analysis Using Amazon Redshift MCP Servers
- AI-Powered Tuning Tool for Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL Databases: PI Reporter
- Building Large-Scale Language Models for the Public Sector Using AWS
- Amazon EKS Use Case by Timey Co., Ltd.: GitHub Actions Self-Hosted Runner Infrastructure Realized with Amazon EKS Auto Mode × Actions Runner Controller - Balancing Flexible Scaling and Security Enhancements
- This is Kiroween
AWS Open Source Blog
- Jupyter Deploy: Create a JupyterLab application with real-time collaboration in the cloud in minutes
AWS Cloud Financial Management
AWS Cloud Operations Blog
AWS Contact Center
AWS Database Blog
Desktop and Application Streaming
AWS HPC Blog
Artificial Intelligence
AWS Messaging Blog
Networking & Content Delivery
- Configuring the AWS WAF Anti-DDoS managed rule group for your resources and clients
- Introducing cross-account support for Amazon CloudFront Virtual Private Cloud (VPC) origins