AWS Application Composer is a new AWS service that helps developers simplify and accelerate architecting, configuring, and building serverless applications. Users can visually compose serverless applications using AWS services with little guesswork. AWS Application Composer’s browser-based visual canvas supports the drag and drop of AWS services, establishing connectivity between them to form an application architecture comprising multiple AWS services. This service aids Developers in overcoming the challenges of configuring various AWS services and from writing IaC to deploying the application. AWS Application Composer maintains the visual representation of the application architecture in sync with the IaC, in real-time.

Create Point-to-Point Integrations Between Event Producers and Consumers with Amazon EventBridge Pipes In the modern event-driven application where multiple cloud services are used as building blocks, communication between the services requires integration code. Maintaining the integration code is a challenge. Amazon EventBridge Pipes is a new feature of Amazon EventBridge that makes it easier to build event-driven applications by providing a simple, consistent, and cost-effective way to create point-to-point integrations between event producers and consumers, removing the need to write undifferentiated glue code. Amazon EventBridge Pipes bring the most popular features of Amazon EventBridge Event Bus, such as event filtering, integration with more than 14 AWS services, and automatic delivery retries.

Process PDFs, Word Documents, and Images with Amazon Comprehend for IDP
With Amazon Comprehend for IDP, customers can process their semi-structured documents, such as PDFs, docx, PNG, JPG, or TIFF images, as well as plain-text documents, with a single API call. This new feature combines OCR and Amazon Comprehend’s existing natural language processing (NLP) capabilities to classify and extract entities from documents. The custom document classification API allows you to organize documents into categories or classes, and the custom-named entity recognition API allows you to extract entities from documents like product codes or business-specific entities.

Amazon CodeCatalyst A unified software development and delivery service, Amazon CodeCatalyst enables software development teams to plan, develop, collaborate on, build, and deliver applications on AWS, reducing friction throughout the development lifecycle quickly and easily.

Features in Amazon CodeCatalyst to address these challenges include:

1. Blueprints that set up the project’s resources—not just scaffolding for new projects, but also the resources needed to support software delivery and deployment.
2. On-demand cloud-based Dev Environments, to make it easy to replicate consistent development environments for you or your teams.
3. Issue management, enabling tracing of changes across commits, pull requests, and deployments.
4. Automated build and release (CI/CD) pipelines using flexible, managed build infrastructure.
5. Dashboards to surface a feed of project activities such as commits, pull requests and test reporting.
6. The ability to invite others to collaborate on a project with just an email.
7. Unified search, making it easy to find what you’re looking for across users, issues, code, and other project resources.

Step Functions Distributed Map – A Serverless Solution for Large-Scale Parallel Data Processing
The new distributed map state allows you to write Step Functions to coordinate large-scale parallel workloads within your serverless applications. You can now iterate over millions of objects such as logs, images, or .csv files stored in Amazon Simple Storage Service (Amazon S3). The new distributed map state can launch up to ten thousand parallel workflows to process data.

Step Functions distributed map supports a maximum concurrency of up to 10,000 executions in parallel, which is well above the concurrency supported by many other AWS services. You can use the maximum concurrency feature of the distributed map to ensure that you do not exceed the concurrency of a downstream service.

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