Author: James Beswick

This first post starts the journey into micro-frontends, a distributed architecture for frontend applications. The next post will explore the UI composer and micro-frontends discovery implementations.

AWS re:Invent 2022 is only a few weeks away, featuring an exciting slate of sessions on Serverless and Application Integration. This post highlights many of the sessions we are hosting on Serverless and Application Integration. It groups sessions by theme to help you quickly find the sessions most interesting to you.

SQS now provides server-side encryption (SSE) using SQS-owned encryption (SSE-SQS) by default. This enhancement makes it easier to create SQS queues, while greatly reducing the operational burden and complexity involved in protecting data.

This blog post shows how AWS Controllers for Kubernetes enables you to deploy a Lambda function directly from your Amazon EKS environment. AWS Controllers for Kubernetes provides a convenient way to connect your Kubernetes applications to AWS services directly from Kubernetes.

This post shows how to use the new custom consumer group ID feature of the Lambda event source mapping for Amazon MSK and self-managed Kafka. This feature can be used to consume messages with Lambda starting at a specific timestamp or offset within a Kafka topic. It can also be used to consume messages from a consumer group that is replicated from another Kafka cluster using MirrorMaker v2.

This blog shows how to act on changes to your Salesforce data in real-time using the new Salesforce partner event source integration with EventBridge. The example demonstrated how your Salesforce data can be processed and enriched with custom AWS applications and updates sent back to Salesforce using EventBridge API Destinations.

You can use Lambda functions to handle fully managed asynchronous processing of SQS messages. Estimating the cost and optimal setup depends on leveraging the various configurations of SQS and Lambda functions. The cost estimator tool presented in this blog should help you understand these configurations and their impact on the overall cost and performance of the Lambda function-based messaging solutions.

In this blog post, you learn how to run external transactions securely on Db2 for IBM i databases using a combination of Amazon ECR and AWS Lambda. By using Docker to package the driver, forwarder, and custom queries, you can execute transactions from Lambda, allowing modern architectures to interface directly with Db2 workloads. Get started by cloning the GitHub repository and following the deployment instructions.

This conversion example shows how Step Functions can help you rewrite complex batch processes written in JCL to serverless workflows. It also shows how such a conversion provides maintenance and monitoring features that make it easier to simplify and scale these batch processes.

In this post, you learn how to create a serverless integration Lambda function between API Gateway and Apache Managed Streaming for Apache Kafka (MSK). We show how to deploy such an integration with the CDK.