2/9/2026, 12:00:00 AM ~ 2/10/2026, 12:00:00 AM (UTC)
Recent Announcements
Amazon Neptune Analytics is now available in 7 additional regions
Amazon Neptune Analytics is now available in Middle East (Bahrain), Middle East (UAE), Israel (Tel Aviv), Africa (Cape Town), Canada (Calgary), Asia Pacific (Malaysia), and Europe (Zurich) regions. You can now create and manage Neptune Analytics graphs in these new regions and run advanced graph analytics.\n Amazon Neptune is a serverless graph database for connected data, improves the accuracy of AI applications, and lowers operational burden and costs. Neptune instantly scales graph workloads removing the need to manage capacity. By modeling data as a graph, Neptune captures context that improves accuracy and explainability of generative AI applications. To make AI application development easier, Neptune offers fully managed GraphRAG with Amazon Bedrock Knowledge Bases, and integrations with Strands AI Agents SDK and popular agentic memory tools. It also easily analyzes tens of billions of relationships across structured and unstructured data within seconds delivering strategic insights. Neptune is the only database and analytics engine that gives you the power of connected data with the enterprise capabilities and value of AWS. To get started, you can create a new Neptune Analytics graphs using the AWS Management Console, or AWS CLI. For more information on pricing and region availability, refer to the Neptune pricing page and AWS Region Table.
Amazon Redshift now supports allocating extra compute for automatic optimizations
Amazon Redshift now supports allocating extra compute for automatic optimization features, known as autonomics. Database administrators managing Amazon Redshift workloads can now allocate additional resources for their clusters to enable autonomics even during periods of high user activity, eliminating the need to manually schedule optimizations such as Automatic Table Optimization (ATO), Automatic Table Sorting (ATS), Auto Vacuum, and Auto Analyze.\n This enhancement extends Amazon Redshift’s autonomics capabilities to automatically leverage extra compute resources, to run reliably without impacting user workloads. It also includes a cost control feature for provisioned clusters, allowing database administrators to limit the amount of resources available to autonomics. Additionally, the new SYS_AUTOMATIC_OPTIMIZATION system table enhances observability by providing detailed information on autonomics operations for both provisioned clusters and serverless workgroups. This feature is available in all AWS Regions where Amazon Redshift is supported. To learn more, see Allocating extra compute resources for automatic database optimization.
AWS Blogs
AWS Japan Blog (Japanese)
- New Terraform Feature: Managing Global Secondary Index Drift in Amazon DynamoDB
- AWS Weekly — 2026/2/2
- [Contribution] Serverless architectures and IaC strategies that support the conversion of CO2 emissions visualization and reduction services to “e-dash”
- Weekly Generative AI with AWS — 2026/2/2
- Amazon launches private AI bug bounty program to enhance Nova model
- AWS Transform Custom: Reduce technical debt with AI-driven Java modernization
AWS News Blog
AWS Big Data Blog
- Using Amazon SageMaker Unified Studio Identity center (IDC) and IAM-based domains together
- Orchestrate end-to-end scalable ETL pipeline with Amazon SageMaker workflows
AWS Database Blog
- Simplify cross-account stream processing with AWS Lambda and Amazon DynamoDB
- New in Terraform: Manage global secondary index drift in Amazon DynamoDB
AWS Developer Tools Blog
Artificial Intelligence
- Automated Reasoning checks rewriting chatbot reference implementation
- Scale LLM fine-tuning with Hugging Face and Amazon SageMaker AI
- New Relic transforms productivity with generative AI on AWS
- Accelerate agentic application development with a full-stack starter template for Amazon Bedrock AgentCore
- Agent-to-agent collaboration: Using Amazon Nova 2 Lite and Amazon Nova Act for multi-agent systems