AWS Compute Blog
Category: Serverless
Introducing advanced logging controls for AWS Lambda functions
Advanced logging controls for Lambda give you greater control over logging. Use advanced logging controls to control your Lambda function’s log level and format, allowing you to search, query, and filter logs to troubleshoot issues more effectively.
Introducing the AWS Integrated Application Test Kit (IATK)
The AWS Integrated Application Test Kit is a software library that provides conveniences to help you write automated tests for your cloud applications. This blog post shows some of the features of the initial Python version of the IATK.
Triggering AWS Lambda function from a cross-account HAQM Managed Streaming for Apache Kafka
This post is written by Subham Rakshit, Senior Specialist Solutions Architect, and Ismail Makhlouf, Senior Specialist Solutions Architect. Many organizations use a multi-account strategy for stream processing applications. This involves decomposing the overall architecture into a single producer account and many consumer accounts. Within AWS, in the producer account, you can use HAQM Managed Streaming for […]
Introducing AWS Step Functions redrive to recover from failures more easily
Developers use AWS Step Functions, a visual workflow service to build distributed applications, automate IT and business processes, and orchestrate AWS services with minimal code. Step Functions redrive for Standard Workflows allows you to redrive a failed workflow execution from its point of failure, rather than having to restart the entire workflow. This blog post […]
Managing AWS Lambda runtime upgrades
This post is written by Julian Wood, Principal Developer Advocate, and Dan Fox, Principal Specialist Serverless Solutions Architect. AWS Lambda supports multiple programming languages through the use of runtimes. A Lambda runtime provides a language-specific execution environment, which provides the OS, language support, and additional settings, such as environment variables and certificates that you can access from […]
Node.js 20.x runtime now available in AWS Lambda
This post is written by Pascal Vogel, Solutions Architect, and Andrea Amorosi, Senior Solutions Architect. You can now develop AWS Lambda functions using the Node.js 20 runtime. This Node.js version is in active LTS status and ready for general use. To use this new version, specify a runtime parameter value of nodejs20.x when creating or […]
Converting Apache Kafka events from Avro to JSON using EventBridge Pipes
This post is written by Pascal Vogel, Solutions Architect, and Philipp Klose, Global Solutions Architect. Event streaming with Apache Kafka has become an important element of modern data-oriented and event-driven architectures (EDAs), unlocking use cases such as real-time analytics of user behavior, anomaly and fraud detection, and Internet of Things event processing. Stream producers and consumers […]
Introducing logging support for HAQM EventBridge Pipes
Today, AWS is announcing support for logging with EventBridge Pipes. HAQM EventBridge Pipes is a point to point integration solution that connects event producers and consumers with optional filter, transform, and enrichment steps. EventBridge Pipes reduces the amount of integration code builders must write and maintain when building event-driven applications. Popular integrations include connecting HAQM […]
The serverless attendee’s guide to AWS re:Invent 2023
AWS re:Invent 2023 is fast approaching, bringing together tens of thousands of Builders in Las Vegas in November. However, even if you can’t attend in person, you can catch up with sessions on-demand. Breakout sessions are lecture-style 60-minute informative sessions presented by AWS experts, customers, or partners. These sessions cover beginner (100 level) topics to […]
Enhanced HAQM CloudWatch metrics for HAQM EventBridge
This blog shows how to use these new metrics to improve the visibility of event flows in your event-driven applications. It helps you monitor the events more effectively, from invocation until the delivery to the target. This improves observability by proactively alerting on key metrics.