AWS Compute Blog
Author: Shridhar Pandey
Shridhar is a Senior Product Manager on AWS Lambda, based in Seattle, Washington. Shridhar leads the monitoring, observability, and operational tooling areas on AWS Lambda and loves building products to make it easy for AWS customers to monitor and operate their Serverless applications.
Secure code execution for AI agents with AWS Lambda MicroVMs
Development teams building serverless applications with AI coding agents face the question of how to let those agents generate and execute code without losing control over governance. Agent-generated code needs a secure environment to execute, isolated from production systems and the developer’s local environment. Addressing this requires three things working together: a secure execution sandbox, […]
Introducing AWS Serverless MCP Server: AI-powered development for modern applications
Today, AWS announces the open-source AWS Serverless Model Context Protocol (MCP) Server, a tool that combines the power of AI assistance with serverless expertise to enhance how developers build modern applications. The Serverless MCP Server provides contextual guidance specific to serverless development, helping developers make informed decisions about architecture, implementation, and deployment. This post describes how the Serverless MCP Server works with AI coding assistants to streamline serverless development.
AWS Lambda introduces tiered pricing for Amazon CloudWatch logs and additional logging destinations
Effective logging is an important part of an observability strategy when building serverless applications using AWS Lambda. Lambda automatically captures and sends logs to Amazon CloudWatch Logs. This allows you to focus on building application logic rather than setting up logging infrastructure and allows operators to troubleshoot failures and performance issues more easily. On May […]