1/9/2026, 12:00:00 AM ~ 1/12/2026, 12:00:00 AM (UTC)
Recent Announcements
Announcing larger managed database bundles for Amazon Lightsail
Amazon Lightsail now offers two larger database bundles with up to 8 vCPUs, 32GB memory, and 960GB SSD storage. The new database bundles are available in both standard and high-availability plans. You can create MySQL and PostgreSQL databases using the new Lightsail managed database bundles.\n The new larger database bundles enable you to scale your database workloads and run more data-intensive applications in Lightsail. These higher-performance database bundles are ideal for production workloads that require increased storage capacity and processing power to handle growing datasets and concurrent connections. Using these new bundles, you can run e-commerce platforms, content management systems, business intelligence applications, SaaS products, and more. These new bundles are now available in all AWS Regions where Amazon Lightsail is available. For more information on pricing, or to get started with your free trial, click here.
Amazon EMR Serverless adds support for job run level cost allocation
Amazon EMR Serverless now supports job run-level cost allocation that provides better visibility into charges for individual job runs by allowing you to configure granular billing attribution at the individual job run level. You can get granular cost visibility by filtering and tracking costs in AWS Cost Explorer and Cost and Usage Reports by specific job run IDs and cost allocation tags associated with job runs.\n Amazon EMR Serverless is a deployment option in Amazon EMR that makes it simple for data engineers and data scientists to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers. Previously, you could assign cost allocation tags to EMR Serverless applications, with cost attribution limited to the application level. With job run-level cost allocation, now you can assign cost allocation tags to each job run, enabling fine-grained billing attribution at the individual job run level. Cost allocation tags at the job run level also allow you to track costs by domains within a single application. For example, a single application could support jobs for finance and marketing domains, allowing you to track costs separately for each domain. Tracking costs for individual job runs makes it easier to conduct benchmarks that assess the costs of each job run as well as focus cost optimization efforts more precisely, allowing deeper insights into resource utilization and spending patterns across different jobs and domains. This feature is available in all AWS Regions where Amazon EMR Serverless is available including AWS GovCloud (US) and China regions. To learn more, see Enabling Job Level Cost Allocation in the Amazon EMR Serverless User Guide
Amazon RDS for SQL Server now supports cross-region read replica in additional AWS Regions
Amazon Relational Database Service (Amazon RDS) for SQL Server now supports setting up cross-region read replicas in 16 additional AWS Regions. Cross-region read replicas enable customers to provide a replica database for read-only applications closer to users in a different region, and scale out read-only workloads. Since a read replica can be “promoted” to a standalone production database, cross-region read replicas can also be used for disaster recovery in case of regional failures. Customers can setup up to fifteen read replicas in the same or different region as the primary database instance.\n This launch adds support for cross-region read replicas in RDS for SQL Server in the following AWS Regions: Africa (Cape Town), Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Asia Pacific (Jakarta), Asia Pacific (Malaysia), Asia Pacific (Melbourne), Asia Pacific (Taipei), Asia Pacific (Thailand), Canada West (Calgary), Europe (Milan), Europe (Spain), Europe (Zurich), Israel (Tel Aviv), Mexico (Central), Middle East (Bahrain), and Middle East (UAE). To get started, visit the Amazon RDS SQL Server User Guide.
AWS Blogs
AWS Japan Blog (Japanese)
- Monthly AWS Manufacturing 2026/1
- A security bug my property base test found that I never could have discovered
- Kiro’s multi-root workspace: work not only within a single project, but across multiple projects
- The way of thinking about Amazon Bedrock being the subject of ISMAP’s statement
- Implement multi-region endpoint routing for Amazon Aurora DSQL
- IAM Policy Autopilot: An open source tool providing IAM policy expertise to builders and AI coding assistants
- Defending against supply chain attacks: From Chalk/Debug breaches and Shai-Hulud worm response cases
AWS Cloud Financial Management
AWS Big Data Blog
AWS for Industries
- How to outrank, outsell, and outperform in AI search with Pattern’s GEO Scorecard
- How to Build and Backtest Systematic Trading Strategies with AWS Batch and Airflow
Artificial Intelligence
- Crossmodal search with Amazon Nova Multimodal Embeddings
- Accelerating LLM inference with post-training weight and activation using AWQ and GPTQ on Amazon SageMaker AI
- How Beekeeper optimized user personalization with Amazon Bedrock
- Sentiment Analysis with Text and Audio Using AWS Generative AI Services: Approaches, Challenges, and Solutions
- Architecting TrueLook’s AI-powered construction safety system on Amazon SageMaker AI