6/12/2024, 12:00:00 AM ~ 6/13/2024, 12:00:00 AM (UTC)
Recent Announcements
Amazon RDS for SQL Server Supports Minor Version 2022 CU13
A new minor version of Microsoft SQL Server is now available on Amazon RDS for SQL Server, providing performance enhancements and security fixes. Amazon RDS for SQL Server now supports the latest minor version of SQL Server 2022 across the Express, Web, Standard, and Enterprise editions.\n We encourage you to upgrade your Amazon RDS for SQL Server database instances at your convenience. You can upgrade with just a few clicks in the Amazon RDS Management Console or by using the AWS CLI. Learn more about upgrading your database instances from the Amazon RDS User Guide. The new minor version include SQL Server 2022 CU13 - 16.0.4125.3. The minor version is available in all AWS commercial regions where Amazon RDS for SQL Server databases are available, including the AWS GovCloud (US) Regions. Amazon RDS for SQL Server makes it simple to set up, operate, and scale SQL Server deployments in the cloud. See Amazon RDS for SQL Server Pricing for pricing details and regional availability.
Productionize Foundation Models from SageMaker Canvas
Amazon SageMaker Canvas now supports deploying Foundation Models (FMs) to SageMaker real-time inference endpoints, allowing you to bring generative AI capabilities into production and consume them outside the Canvas workspace. SageMaker Canvas is a no-code workspace that enables analysts and citizen data scientists to generate accurate ML predictions and use generative AI capabilities.\n SageMaker Canvas provides access to FMs powered by Amazon Bedrock and SageMaker JumpStart, supports RAG-based customization, and fine-tuning of FMs. Starting today, you can deploy FMs powered by SageMaker JumpStart such as Falcon-7B, Llama-2, and more to SageMaker endpoints making it easier to integrate generative AI capabilities into your applications outside the SageMaker Canvas workspace. FMs powered by Amazon Bedrock can already be accessed using a single API outside the SageMaker workspace. By simplifying the deployment process, SageMaker Canvas accelerates time-to-value and ensures a smooth transition from experimentation to production. To get started, log in to SageMaker Canvas to access the FMs powered by SageMaker JumpStart. Select the desired model and deploy it with the appropriate endpoint configurations such as indefinitely or for a specific duration of time. SageMaker Inferencing charges will apply to deployed models. A new user can access the latest version by directly launching SageMaker Canvas from their AWS console. An existing user can access the latest version of SageMaker Canvas by clicking “Log Out” and logging back in.
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AWS Blogs
AWS Japan Blog (Japanese)
- Generative AI marketing portal built on AWS
- Applying Generative AI to Marketing Strategies: An Introduction
- AWS Weekly Roundup: New AWS Heroes, Amazon API Gateway, Amazon Q, and more (June 10, 2024)
AWS News Blog
AWS Cloud Operations & Migrations Blog
- Enabling Self Service for Cloud Custodian policies on AWS using AWS Service Catalog
- Enhancing observability with a managed monitoring solution for Amazon EKS
AWS Big Data Blog
- Ingest and analyze your data using Amazon OpenSearch Service with Amazon OpenSearch Ingestion
- How Swisscom automated Amazon Redshift as part of their One Data Platform solution using AWS CDK – Part 2
- How Swisscom automated Amazon Redshift as part of their One Data Platform solution using AWS CDK – Part 1
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AWS Database Blog
- Use Amazon DynamoDB incremental exports to drive continuous data retention
- Optimize costs with scheduled scaling of Amazon DocumentDB for read workloads
Desktop and Application Streaming
AWS DevOps Blog
AWS Machine Learning Blog
- Build a custom UI for Amazon Q Business
- Scalable intelligent document processing using Amazon Bedrock
- Use weather data to improve forecasts with Amazon SageMaker Canvas