AWS Compute Blog
Introducing an enhanced local IDE experience for AWS Lambda developers
AWS Lambda is introducing an enhanced local IDE experience to simplify Lambda-based application development. The new features help developers to author, build, debug, test, and deploy Lambda applications more efficiently in their local IDE when using Visual Studio Code (VS Code). Overview The IDE experience is part of the AWS Toolkit for Visual Studio Code. […]
Introducing an enhanced in-console editing experience for AWS Lambda
AWS Lambda is introducing a new code editing experience in the AWS console based on the popular Code-OSS, Visual Studio Code Open Source code editor. This brings the familiar Visual Studio Code interface and many of the features directly into the Lambda console, allowing developers to use their preferred coding environment and tools in the cloud. […]
Simplifying Lambda function development using CloudWatch Logs Live Tail and Metrics Insights
This post is written by Shridhar Pandey, Senior Product Manager, AWS Lambda Today, AWS is announcing two new features which make it easier for developers and operators to build and operate serverless applications using AWS Lambda. First, the Lambda console now natively supports Amazon CloudWatch Logs Live Tail which provides you real-time visibility into Lambda […]
Learn how to deploy Falcon 2 11B on Amazon EC2 c7i instances for model Inference
This post is written by Paul Tran, Senior Specialist SA; Asif Mujawar, Specialist SA Leader; Abdullatif AlRashdan, Specialist SA; and Shivagami Gugan, Enterprise Technologist. Technology Innovation Institute (TII) has developed Falcon 2 11B foundation model (FM), a next-generation AI model that can be now deployed on Amazon Elastic Compute Cloud (Amazon EC2) c7i instances, which support […]
Designing Serverless Integration Patterns for Large Language Models (LLMs)
This post is written by Josh Hart, Principal Solutions Architect and Thomas Moore, Senior Solutions Architect This post explores best practice integration patterns for using large language models (LLMs) in serverless applications. These approaches optimize performance, resource utilization, and resilience when incorporating generative AI capabilities into your serverless architecture. Overview of serverless, LLMs and example […]
Monitoring best practices for event delivery with Amazon EventBridge
This post is written by Maximilian Schellhorn, Senior Solutions Architect and Michael Gasch, Senior Product Manager, EventBridge Amazon EventBridge is a serverless event router that allows you to decouple your applications, using events to communicate important changes between event producers and consumers (targets). With EventBridge, producers publish events through an event bus, where you can […]
New: Zone Groups for Availability Zones in AWS Regions
This blog post is written by Pranav Chachra, Principal Product Manager, AWS. In 2019, AWS introduced Zone Groups for AWS Local Zones. Today, we’re announcing that we are working on extending the Zone Group construct to Availability Zones (AZs). Zone Groups were launched to help users of AWS Local Zones identify related groups of Local […]
Measuring Amazon MQ throughput using Maven 2 benchmark and AWS CDK
This post is written by Olajide Enigbokan, Senior Solutions Architect and Mohammed Atiq, Solutions Architect In this post you will learn how to evaluate the throughput for Amazon MQ, a managed message broker service for ActiveMQ, by using the ActiveMQ Classic Maven Performance test plugin. This post will provide recommendations for configuring Amazon MQ to […]
Efficiently processing batched data using parallelization in AWS Lambda
This post is written by Anton Aleksandrov, Principal Solutions Architect, AWS Serverless Efficient message processing is crucial when handling large data volumes. By employing batching, distribution, and parallelization techniques, you can optimize the utilization of resources allocated to your AWS Lambda function. This post will demonstrate how to implement parallel data processing within the Lambda function handler, maximizing […]
Strengthening data security in AWS Step Functions with a customer-managed AWS KMS key
This post is written by Dhiraj Mahapatro, AWS Principal Specialist SA, Serverless. AWS Step Functions provides enhanced security with a customer-managed AWS KMS key. This allows organizations to maintain complete control over the encryption keys used to protect their data in Step Functions, ensuring that only allowed principals (IAM role, user, or a group) have access […]