Testing AWS CI/CD pipelines in the cloud can be slow, error-prone, and hard to debug, especially when you're wrestling with IAM permissions or waiting on long feedback cycles. This session walks through how you can now emulate complete DevOps workflows locally using LocalStack. We cover recent additions to LocalStack that support new service providers such as CodeBuild for running build processes across different runtimes directly on your machine, CodeDeploy for emulating deployment steps without touching the real infrastructure, and CodePipeline for creating and testing CI pipelines, transitions, and triggers locally. Through a live demo, we’ll walk through a working example of a CI/CD pipeline — building a Rust project, deploying it, and running the pipeline stages — all without leaving your laptop. This session is useful for developers building or debugging AWS-native CI/CD workflows and looking for faster, more controlled ways to test them.

LocalStack Applications in Developer Hub provides sample templates to help LocalStack users adopt real-world scenarios to rapidly and conveniently create, configure, and deploy applications locally.
Getting started with Step-up-authentication demo
In this demo, we will setup a step-up authentication workflow for a higher level of security, deployed using Cloud Development Kit on LocalStack

Running your Spring Boot app on AWS for production is common, but testing there can be slow and costly. In this video, we’ll show you how to speed up development using LocalStack. By provisioning your infrastructure with Terraform, you can easily switch to local testing in just three steps: configure your dev environment variables, start LocalStack in Docker, and run your IaC files. Get faster feedback and reduce costs by testing locally with LocalStack!

In this live session, WireMock CTO Tom Akehurst will introduce hybrid API simulation (local + cloud) with WireMock Runner. Tom will explain why we built Runner, how developers are using it today, and how it fits into modern dev and test workflows - such as simulating APIs during testing, prototyping, and AI-native development.