Category: Learning Levels

In this post, we will show how you can use the new portal feature to create customizable portals with enhanced security features in minutes, with APIs from multiple accounts, without managing any infrastructure.

Today, AWS announced support for response streaming in Amazon API Gateway to significantly improve the responsiveness of your REST APIs by progressively streaming response payloads back to the client. With this new capability, you can use streamed responses to enhance user experience when building LLM-driven applications (such as AI agents and chatbots), improve time-to-first-byte (TTFB) performance for web and mobile applications, stream large files, and perform long-running operations while reporting incremental progress using protocols such as server-sent events (SSE).

AWS Lambda now supports Python 3.14 as both a managed runtime and container base image. Python is a popular language for building serverless applications. Developers can now take advantage of new features and enhancements when creating serverless applications on Lambda.

Today, AWS Lambda is promoting Rust support from Experimental to Generally Available. This means you can now use Rust to build business-critical serverless applications, backed by AWS Support and the Lambda availability SLA.

In this post, we explore using AWS Step Function state machine with asynchronous AWS services, look at some scenarios where the processing time can be unpredictable, explain when traditional solutions such as polling (periodically check) fall short, and demonstrate how to implement a generalized callback pattern to handle asynchronous operations into a more manageable synchronous flow.

You can now develop AWS Lambda functions using Java 25 either as a managed runtime or using the container base image. This blog post highlights notable Java language features, Java Lambda runtime updates, and how you can use the new Java 25 runtime in your serverless applications.

From December 1st to December 5th, Amazon Web Services (AWS) will hold its annual premier learning event: re:Invent. There are over 2000+ learning sessions that focus on specific topics at various skill levels, and the compute team have created 76 unique sessions for you to choose. There are many sessions you can choose from, and we are here to help you choose the sessions that best fit your needs. Even if you cannot join in person, you can catch-up with many of the sessions on-demand and even watch the keynote and innovation sessions live.

This post examines the benefits of transitioning Lambda functions to IPv6, provides practical guidance for implementing dual-stack support in your Lambda environment, and considerations for maintaining compatibility with existing systems during migration.

In this post, you’ll learn how to use AWS Step Functions Distributed Map to process Amazon Athena data manifest and Parquet files through a step-by-step demonstration.

In this post, we explore how to optimize processing array data embedded within complex JSON structures using AWS Step Functions Distributed Map. You’ll learn how to use ItemsPointer to reduce the complexity of your state machine definitions, create more flexible workflow designs, and streamline your data processing pipelines—all without writing additional transformation code or AWS Lambda functions.