6/19/2024, 12:00:00 AM ~ 6/20/2024, 12:00:00 AM (UTC)
Recent Announcements
Amazon OpenSearch Service now supports JSON Web Token (JWT) authentication and authorization
Amazon OpenSearch Service now supports JSON Web Token (JWT) that enables you to authenticate and authorize users without having to provide any credentials or use internal user database. JWT support also makes it easy for customers to integrate with identity provider of their choice and isolate tenants in a multi-tenant application.\n Until now, Amazon OpenSearch Service allowed customers to implement client and user authentication using Amazon Cognito and basic authentication with the internal user database. With JWT support, customers can now use a single token which any operator or external identity provider can use to authenticate requests to their Amazon OpenSearch Service cluster. Customers can setup JWT authentication using the console or CLI, as well as the create and update domain APIs.
Amazon SageMaker now offers a fully managed MLflow Capability
Amazon SageMaker now offers a fully managed MLflow capability. Data scientists can use familiar MLflow constructs to organize, track, and analyze ML experiments and administrators can setup MLflow with better scalability, availability, and security.\n MLflow is a popular open-source tool that helps customers manage ML experiments. Data scientists and ML engineers are already using MLflow with SageMaker. However, it required setting up, managing, and securing access to MLflow Tracking Servers. With this launch, SageMaker makes it easier for customers to set-up, and manage MLflow Tracking Servers with a couple of clicks. Customers can secure access to MLflow via AWS Identity and Access Management roles. Data scientists can use MLflow SDK to track experiments across local notebooks, IDEs, managed IDEs in SageMaker Studio, SageMaker Training Jobs, SageMaker Processing Jobs, and SageMaker Pipelines. Experimentation capabilities such as rich visualizations for run comparisons and model evaluations are available to help data scientists find the best training iteration. Models registered in MLflow automatically appear in the SageMaker Model Registry for a unified model governance experience and customers can deploy MLflow Models to SageMaker Inference without building custom MLflow containers. The integration with SageMaker allows data scientists to easily track metrics during model training ensuring reproducibility across different frameworks and environments.
AWS Glue adds additional 13 new transforms including flag duplicates
AWS Glue now offers 13 new built-in transforms: Flag duplicates in column, Format Phone Number, Format case, Fill with mode, Flag duplicate rows, Remove duplicates, Month name, Is even, Cryptographic Hash, Decrypt, Encrypt, Int to IP and IP to int. AWS Glue is a serverless data integration service that makes it easy for analytics users to discover, prepare, move, and integrate data from multiple sources. With these new transform, ETL developers can quickly build more sophisticated data pipelines without having to write custom code for these common transform tasks.\n Each of these new transforms address a unique data processing need. For example, use Remove duplicates, Flag duplicates in column or Flag duplicate rows to highlight or remove the duplicates rows within your dataset, use Cryptographic Hash to apply an algorithm to hash values in the column, encrypt values in the source columns with the Encrypt transform, or decrypt these columns with the Decrypt transform. The new transformations are available for code-based jobs.
Announcing support for Autodesk 3ds Max Usage-Based Licensing in AWS Deadline Cloud
The AWS Deadline Cloud Usage-Based Licensing (UBL) server now offers on-demand licenses for Autodesk 3ds Max, a popular software for 3D modeling, animation, and digital imagery. This addition joins other supported digital content creation tools such as Autodesk Arnold, Autodesk Maya®, Foundry Nuke®, and SideFX® Houdini. With Deadline Cloud UBL, you only pay for use of the software during the processing of jobs.\n With this release, customers can integrate 3ds Max licensing into their workflows by adding it to their license endpoints. Once configured, 3ds Max license traffic can be routed to the appropriate license endpoint, enabling seamless access and pay-as-you-go usage. This feature is currently available in the Deadline Cloud Customer-Managed fleet deployment option. For more information, please visit the Deadline Cloud product page, and see the Deadline Cloud pricing page for UBL price details.
AWS Elemental MediaConnect adds source stream monitoring
AWS Elemental MediaConnect now provides information about the incoming transport stream and its program media. You can view transport stream information such as program numbers, stream types, codecs, and packet identifiers (PIDs) for video, audio, and data streams in the console or via the MediaConnect API. With this new feature you can more accurately identify and resolve issues, minimizing disruptions to your live broadcasts.\n To learn more about monitoring source streams, visit the AWS Elemental MediaConnect documentation page. AWS Elemental MediaConnect is a reliable, secure, and flexible transport service for live video that enables broadcasters and content owners to build live video workflows and securely share live content with partners and customers. MediaConnect helps customers transport high-value live video streams into, through, and out of the AWS Cloud. MediaConnect can function as a standalone service or as part of a larger video workflow with other AWS Elemental Media Services, a family of services that form the foundation of cloud-based workflows to transport, transcode, package, and deliver video. Visit the AWS Region Table for a full list of AWS Regions where MediaConnect is available. To learn more about MediaConnect, please visit here.
Amazon CodeCatalyst now supports GitHub Cloud and Bitbucket Cloud with Amazon Q
Amazon CodeCatalyst now supports the use of source code repositories hosted in GitHub Cloud and Bitbucket Cloud with Amazon Q for feature development. Customers can now assign issues in CodeCatalyst to Amazon Q and direct it to work with source code hosted in GitHub Cloud and Bitbucket Cloud.\n Using Amazon Q, you can go from an issue all the way to merge-ready code in a pull request. Amazon Q analyzes the issue and existing source code, creates a plan, and then generates source code in a pull request. Before, customers could only use source code repositories hosted in CodeCatalyst with this capability. Now, customers can use source code repositories hosted in GitHub Cloud or Bitbucket Cloud.
This capability is available in US West (Oregon). There is no change to pricing.
For more information, see the documentation or visit the Amazon CodeCatalyst website.
AWS Blogs
AWS Japan Blog (Japanese)
- Introducing Resiliency Quest — a game-style workshop where you can experience chaos engineering
- IP Power Systems has migrated its on-premise Oracle Database to Amazon RDS for Oracle, greatly improving infrastructure operating man-hours and performance
- Efforts to speed up development and improvement of embedded software
- Amazon Connect analytics and reports for an overview of the entire contact center
AWS News Blog
AWS Cloud Operations & Migrations Blog
AWS Big Data Blog
AWS Database Blog
AWS DevOps Blog
- Blue/Green Deployments to Amazon ECS using AWS CloudFormation and AWS CodeDeploy
- AWS CloudFormation Linter (cfn-lint) v1
AWS HPC Blog
AWS for Industries
- How AWS Supports Life Science Industry’s Vast Data and Effective Use of AI
- How Takeda Pharmaceuticals Accelerates Large-Scale Bioinformatics with AWS HealthOmics
- Unleashing the Power of Generative AI: Amazon Q Business for Manufacturing excellence
- Improve your industrial operations with cloud-based SCADA systems
- Ten steps to modernizing legacy monoliths in the AWS Cloud
AWS Machine Learning Blog
- Maximize your Amazon Translate architecture using strategic caching layers
- Deploy a Slack gateway for Amazon Bedrock