AWS Compute Blog

Category: AWS Lambda

Steps to create the application custom runtime

Build a custom Java runtime for AWS Lambda

This post is written by Christian Müller, Principal AWS Solutions Architect and Maximilian Schellhorn, AWS Solutions Architect When running applications on AWS Lambda, you have the option to use either one of the managed runtime versions that AWS provides or bring your own custom runtime. The following blog post provides a walkthrough of how you […]

Calendar

ICYMI: Serverless Q1 2022

Welcome to the 17th edition of the AWS Serverless ICYMI (in case you missed it) quarterly recap. Every quarter, we share all the most recent product launches, feature enhancements, blog posts, webinars, Twitch live streams, and other interesting things that you might have missed! In case you missed our last ICYMI, check out what happened […]

Lambda function retrieving database credentials from an external source

Choosing the right solution for AWS Lambda external parameters

This post is written by Thomas Moore, Solutions Architect, Serverless. When using AWS Lambda to build serverless applications, customers often need to retrieve parameters from an external source at runtime. This allows you to share parameter values across multiple functions or microservices, providing a single source of truth for updates. A common example is retrieving […]

KeyStore and TrustStore

Implementing mutual TLS for Java-based AWS Lambda functions

This post is written by Dhiraj Mahapatro, Senior Specialist SA, Serverless and Christian Mueller, Principal Solutions Architect Modern secure applications establish network connections to other services through HTTPS. This ensures that the application connects to the right party and encrypts the data before sending it over the network. You might not want unauthenticated users to […]

Using organization IDs as principals in Lambda resource policies

This post is written by Rahul Popat, Specialist SA, Serverless and Dhiraj Mahapatro, Sr. Specialist SA, Serverless AWS Lambda is a serverless compute service that runs your code in response to events and automatically manages the underlying compute resources for you. These events may include changes in state or an update, such as a user […]