10/9/2024, 12:00:00 AM ~ 10/10/2024, 12:00:00 AM (UTC)
Recent Announcements
Amazon EventBridge Schema Registry now in the AWS GovCloud (US) Regions
The Amazon EventBridge Schema Registry and Schema Discovery service is now available in the AWS GovCloud (US-East) and AWS GovCloud (US-West) Regions, allowing you to discover and store event structure - or schema - in a shared, central location. You can download code bindings for those schemas for Java, Python, Typescript, and Golang so it’s easier to use events as objects in your code.\n The Schema Discovery and Schema Registry features are integrated with the Amazon EventBridge Event Bus, which enables you to create scalable event-driven applications by routing events between your own applications, third-party SaaS applications, and other AWS services. While event buses decouple your event sources and event targets, letting your teams act more independently, the Schema Registry enables your teams to share the structures of the events they are publishing so that other teams can discover and create integrations incorporating their events. You can have the Schema Registry centrally store schemas by adding them to the registry yourself or by turning on the Schema Discovery feature to automatically discover and store schemas from events sent to an event bus. By generating code bindings, you can interact with the event as an object in your code, using your preferred IDE to take advantage of features like code validation and auto-completion. To learn more about Amazon EventBridge, please visit our documentation or get started in the AWS console.
Amazon Bedrock Model Evaluation now supports evaluating custom models
Model Evaluation on Amazon Bedrock allows you to evaluate, compare, and select the best foundation models for your use case. Amazon Bedrock offers a choice of automatic evaluation and human evaluation. You can use automatic evaluation with predefined algorithms for metrics such as accuracy, robustness, and toxicity. Additionally, for those metrics or subjective and custom metrics, such as friendliness, style, and alignment to brand voice, you can set up a human evaluation workflow with a few clicks. Human evaluation workflows can leverage your own employees or an AWS-managed team as reviewers. Model evaluation provides built-in curated datasets or you can bring your own datasets.\n Now, customers can evaluate their own custom fine-tuned models from fine-tuning and continued pretraining jobs on Amazon Bedrock. This allows customers to complete the cycle of selecting a base model, customizing it, evaluating it, and customizing it again if needed or continuing to production if they are satisfied with its evaluation outcome. To evaluate a custom model, simply select the custom model from the list of models to evaluate in the model selector tool when creating an evaluation job. Model Evaluation on Amazon Bedrock is now Generally Available in these commercial regions and the AWS GovCloud (US-West) Region. To learn more about Model Evaluation on Amazon Bedrock, see the Amazon Bedrock developer experience web page. To get started, sign in to Amazon Bedrock on the AWS Management Console or use the Amazon Bedrock APIs.
AWS CodePipeline introduces new getting started experience
AWS CodePipeline introduces a simplified and new getting started experience to enable you to quickly create new pipelines. When you create a new pipeline using the CodePipeline console, you can now select from a list of pipeline templates across Build, Automation, and Deployment use cases. After selecting a pipeline template, you will be prompted to enter values for the action configuration fields in the pipeline definition, and completing the process will render a fully configured pipeline that is ready to run.\n To learn more about using the new pipeline templates, visit our documentation. For more information about AWS CodePipeline, visit our product page. Getting started experience is action is available in all regions where AWS CodePipeline is supported, except for GovCloud regions.
Amazon Connect Chat now supports using your customer’s initial message in flows, enabling you to improve self-service containment rates and personalize the customer experience. You can use the initial chat message to display the right step-by-step guide, trigger interactive messages from Amazon Lex (e.g., list pickers, carousels), or route the chat to the best agent. For example, if the initial message is about an order issue, you can immediately show the customer a list pickers of recent orders. Alternatively, if the message is about rescheduling a delivery, you can present date and time pickers to help them make the change.\n To use the customer’s initial message with Amazon Lex, simply check the ‘Initialize bot with message’ option in the ‘Get customer input’ block within Amazon Connect’s flow designer. Additionally, you can access the customer’s initial message using the InitialMessage flow attribute for branching flows or integrations using AWS Lambda. This new feature is available in all AWS regions where Amazon Connect is available. To learn more and get started, please refer to the help documentation, pricing page, or visit the Amazon Connect website.
Amazon EventBridge Archive and Replay now in the AWS GovCloud (US) Regions
Amazon EventBridge Archive and Replay is now available in the AWS GovCloud (US-East) and AWS GovCloud (US-West) Regions, making event-driven applications more durable and extensible by providing an easier way to replay past events. Archive and Replay enables you to build applications that can more easily recover from errors and also allows you to more easily validate new functionality in your applications.\n The Archive and Replay feature is integrated with the Amazon EventBridge Event Bus, which enables you to create scalable event-driven applications by routing events between your own applications, third-party SaaS applications, and other AWS services. You can set up routing rules on the event bus to determine where to send your events, allowing for application architectures to react to changes in your systems as they occur. Event buses make it easier to build event-driven applications by facilitating event ingestion, delivery, security, authorization, and error handling. To learn more about Amazon EventBridge, please visit our documentation or get started in the AWS console.
AWS Lambda now detects and stops recursive loops between Lambda and Amazon S3
Lambda recursive loop detection can now automatically detect and stop recursive loops between AWS Lambda and Amazon Simple Storage Service (Amazon S3). Lambda recursive loop detection, which is enabled by default, is a preventative guardrail that automatically detects and stops recursive invocations between Lambda and other supported services, preventing unintended usage and billing from runaway workloads.\n Customers commonly use Amazon S3 as an event source to trigger Lambda functions. Customer misconfiguration or code defect can cause processed events to be sent back to the same Amazon S3 bucket that invoked the Lambda function, causing unintended recursive loops. Now, Lambda will automatically detect and stop such recursive loops and send customers an AWS Health Dashboard notification with troubleshooting steps. S3 support for recursive loop detection is available in all regions where Lambda recursive loop detection is available. If your function uses intentional recursive loops, you can use the PutFunctionRecursionConfig API to turn off recursive loop detection. To learn more about Lambda recursive loop detection, please refer to Lambda documentation.
AWS Blogs
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- Perform data parity at scale for data modernization programs using AWS Glue Data Quality
AWS DevOps & Developer Productivity Blog
AWS for Industries
AWS Machine Learning Blog
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- Transitioning off Amazon Lookout for Metrics