7/3/2024, 12:00:00 AM ~ 7/4/2024, 12:00:00 AM (UTC)
Recent Announcements
Amazon RDS Snapshot Export to S3 now available in eight additional AWS regions
Snapshot Export to S3 for Amazon Aurora and Amazon RDS snapshots is now available in Asia Pacific (Hyderabad), Asia Pacific (Jakarta), Asia Pacific (Melbourne), Canada West (Calgary), Europe (Spain), Europe (Zurich), Israel (Tel Aviv), and Middle East (UAE) regions. Snapshot export to S3 exports snapshot data as Apache Parquet, an efficient open columnar storage format. Snapshot export to S3 allows ingestion of data stored in Amazon RDS and Amazon Aurora for purposes such as populating data lakes for analytics or for training machine learning models.\n You can create an export with just a few clicks on the Amazon RDS Management Console or using the AWS SDK or CLI. Extracting data from a snapshot doesn’t impact the performance of your database, as the export operation is performed on your snapshot and not your database. The extracted data in Apache Parquet format is portable, so you can consume it with other AWS services such as Amazon Athena, Amazon SageMaker, or Amazon Redshift Spectrum or with big data processing frameworks such as Apache Spark. Amazon RDS Snapshot Export to S3 can export data from Amazon RDS for PostgreSQL, Amazon RDS for MariaDB, Amazon RDS for MySQL, Amazon Aurora PostgreSQL-Compatible Edition and Amazon Aurora MySQL snapshots. For more information, including instructions on getting started, read the Aurora documentation or Amazon RDS documentation.
AWS Lambda announces advanced logging controls that enable you to natively capture logs in JSON structured format, adjust log levels, and select the Amazon CloudWatch log group for your Lambda functions.\n You can now capture your Lambda logs in JSON structured format without having to bring your own logging libraries. JSON format allows logs to be structured as a series of key-value pairs, enabling you to quickly search, filter, and analyze your function logs. You can also control the log level (e.g. ERROR, DEBUG, INFO, etc.) of your Lambda logs without making any code changes. This enables you to choose the desired logging granularity level for your function, eliminating the need to sift through large volumes of logs while debugging and troubleshooting critical errors. Lastly, you can choose the CloudWatch log group to which Lambda sends your logs. This allows you to easily aggregate logs from multiple functions within an application in one place, and apply security, governance, and retention policies at the application level, rather than applying them individually to every function. To get started, you can specify advanced logging controls for your Lambda functions using Lambda API, Lambda console, AWS CLI, AWS Serverless Application Model (SAM), and AWS CloudFormation. To learn more, visit the launch blog post or Lambda Developer Guide. Lambda advanced logging controls are now available in AWS GovCloud (US) Regions, at no additional cost. For more information, see the AWS Region table.
Amazon Q Developer is now generally available (GA) in the Visual Studio IDE
Today, Amazon Web Services, Inc. launches the general availability of Amazon Q Developer in the Visual Studio IDE, available as part of the AWS Toolkit extension. You can now chat with Amazon Q about your project and ask Amazon Q to scan your project for security vulnerabilities.\n Amazon Q Developer helps simplify the software development lifecycle by answering questions about technical topics, generating code, and explaining code. You can ask Amazon Q to answer questions such as “How do I debug issues with my Lambda functions locally before deploying to AWS?”. You can also request Amazon Q to generate code with prompts like “Generate test cases for [function name]”, where you reference a function name in an open file. Amazon Q Developer can also keep your software secure by highlighting security vulnerabilities. You can click “Run Security Scan” from the margin menu, which will return with a list of vulnerabilities. Currently, security scans only support C#. You can ask Amazon Q questions, update your code, and initiate actions with quick commands all from the Amazon Q chat panel in your IDE. When you ask Amazon Q a question, it uses the current file that is open in your IDE as context, including the programming language and the file path.
AWS Lambda adds support for runtime management controls in the AWS GovCloud (US) Regions
AWS Lambda now supports runtime management controls in the AWS GovCloud (US) Regions. The operational simplicity of automatic runtime updates is one of the features customers most like about Lambda. This release provides customers running critical production workloads with more visibility and control over when runtime updates are applied to their functions.\n For each runtime, Lambda provides a managed execution environment which includes the underlying Amazon Linux OS, programming language runtime, and SDKs. Lambda takes care of applying patches and security updates to all these components. These runtime updates allow customers to delegate responsibility for patching from the customer to Lambda. With this release, the updates made to the managed runtimes provided by Lambda are now visible to customers as distinct runtime versions. Customers also have more control over when Lambda updates their functions to a new runtime version, either automatically or synchronized with customer-driven function updates. In the very rare event of an unexpected runtime incompatibility with an existing function, they can also roll back to an earlier runtime version. Visit our product documentation for more information about runtime management controls. Sign in to the AWS Lambda console to get started.
Amazon DataZone introduces fine-grained access control
Today, Amazon DataZone has introduced fine-grained access control, providing data owners granular control over their data at row and column levels. Customers use Amazon DataZone to catalog, discover, analyze, share, and govern data at scale across organizational boundaries with governance and access controls. Data owners can now restrict access to specific records of data, instead of granting access to the entire dataset. For example, if your table contains data for multiple regions, you can create row filters to grant access to rows with different regions to different projects. Additionally, column filters allow you to restrict access to specific columns, such as those containing Personally Identifiable Information (PII), ensuring that subscribers can only access the necessary and less sensitive data.\n To get started, you can create row and column filters within the Amazon DataZone portal. When a user requests access to your data asset, you can approve the subscription by applying the appropriate filters. Amazon DataZone enforces these filters using AWS Lake Formation and Amazon Redshift, ensuring that the subscriber can only access the rows and columns that you have authorized. Fine-grained access control support for both Amazon Redshift and AWS Lake Formation is now generally available in the following AWS Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Seoul), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (Stockholm), Europe (London), and South America (São Paulo). Learn more about fine-grained access control in the user documentation.
Amazon RDS now supports M6gd and R6gd database instances in the AWS GovCloud (US) Regions
Amazon Relational Database Service (Amazon RDS) for PostgreSQL, MySQL, and MariaDB now supports AWS Graviton2-based M6gd and R6gd database instances in the AWS GovCloud (US) Regions.\n With this regional expansion, M6gd instances are now available for Amazon RDS for PostgreSQL, MySQL, and MariaDB in US East (Ohio, N. Virginia), US West (Oregon), Asia Pacific (Hong Kong, Hyderabad, Jakarta, Melbourne, Mumbai, Osaka, Seoul, Singapore, Sydney, Tokyo), Canada (Calgary, Central), Europe (Frankfurt, Ireland, London, Milan, Paris, Spain, Stockholm, Zurich), Middle East (Bahrain, UAE), and the AWS GovCloud (US) Regions. R6gd instances are available for Amazon RDS for PostgreSQL, MySQL, and MariaDB in US East (Ohio, N. Virginia), US West (Oregon), Asia Pacific (Jakarta, Mumbai, Singapore, Sydney, Tokyo), Canada (Central), Europe (Frankfurt, Ireland, Paris), and the AWS GovCloud (US) Regions. For complete information on pricing and regional availability, please refer to the Amazon RDS pricing page. M6gd and R6gd database instances are available on Amazon RDS for PostgreSQL version 16.1 and higher, 15.2 and higher, 14.5 and higher, and 13.4 and higher. M6gd and R6gd database instances are available on Amazon RDS for MySQL version 8.0.32 and higher, and Amazon RDS for MariaDB version 10.11.4 and higher, 10.6.13 and higher, 10.5.20 and higher, and 10.4.29 and higher. Get started by creating a fully managed M6gd database instance using the Amazon RDS Management Console. For more details, refer to the Amazon RDS User Guide.
AWS Launch Wizard now adds programmatic deployments through APIs and Cloudformation templates
AWS Launch Wizard now enables customers to programmatically deploy workloads on AWS using Application Programming Interface (API) or CloudFormation templates while still leveraging built-in automation and best practice recommendations. With this launch, customers now have a choice to deploy third-party applications on AWS such as SQL Server - SingleNode, HA, or FCI, SAP, and all supported workloads through AWS Launch Wizard APIs or CloudFormation resources, in addition to the existing console-based experience. Additionally, AWS Launch Wizard has also introduced APIs to programmatically retrieve application specifications for a simplified deployment experience.\n AWS Launch Wizard offers a guided way of sizing, configuring, and deploying AWS resources for third party applications, such as Microsoft SQL Server Always On and HANA based SAP systems, without the need to manually identify and provision individual AWS resources. AWS Launch Wizard is available in 29 Regions including US East (N. Virginia, Ohio), Europe (Frankfurt, Ireland, London, Paris, Stockholm and Milan), South America (Sao Paulo), US West (N. California, Oregon), Canada (Central), Asia Pacific (Mumbai, Seoul, Tokyo, Hong Kong, Hyderabad, Singapore, and Sydney), Middle East (Bahrain, UAE), Africa (Cape Town), Europe (Spain), Europe (Zurich), Asia Pacific (Melbourne), China (Beijing, operated by Sinnet), China (Ningxia, operated by NWCD), and the AWS GovCloud (US) Regions. To learn more about AWS Launch Wizard, visit the Launch Wizard Page. To get started, check out the Launch Wizard User Guide and the API Page.
AWS Blogs
AWS Japan Blog (Japanese)
AWS Japan Startup Blog (Japanese)
AWS Big Data Blog
AWS Database Blog
AWS DevOps Blog
- Refactoring to Serverless: From Application to Automation
- Modernize your Java application with Amazon Q Developer
AWS Machine Learning Blog
- Build your multilingual personal calendar assistant with Amazon Bedrock and AWS Step Functions
- Medical content creation in the age of generative AI
- Introducing guardrails in Knowledge Bases for Amazon Bedrock
- Prompt engineering techniques and best practices: Learn by doing with Anthropic’s Claude 3 on Amazon Bedrock
- Improve productivity when processing scanned PDFs using Amazon Q Business