AWS Compute Blog

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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. […]

Viewing function code in the Lambda Code Editor

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. […]

Active Live Tail session showing logs for the CloudWatch log group associated with the Lambda function.

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

Learn how to deploy Falcon 2 11B on Amazon EC2 c7i instances for model Inference

by Anusha Jampala, Asif Mujawar, and Abdullatif Rashdan on Permalink Share

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 […]

Architecture diagram showing AWS Lambda invoking Amazon Bedrock using the InvokeModel API call.

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 […]

Combination of counter based metrics and latency based metrics.

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 […]

Function performance dashboard

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 […]

Cross account access

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 […]