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: Run build processes across different runtimes directly on your machine CodeDeploy: Emulate deployment steps without touching the real infrastructure CodePipeline: Create and test CI pipelines, transitions, and triggers locallyThrough 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 is ephemeral, so when you stop and restart it, all data is lost. You can use certain features to save the state & load it back when you restart LocalStack. This includes saving the local state for S3 buckets, DynamoDB tables, RDS databases and more. In this video, we explore three mechanisms that allows you to save state in LocalStack. They are:• Persistence• State Export & Import• Cloud Pods ## Documentation• State management: https://docs.localstack.cloud/user-guide/state-management/ • Cloud Pods: https://docs.localstack.cloud/user-guide/state-management/cloud-pods/ • Persistence: https://docs.localstack.cloud/user-guide/state-management/persistence/ • State Export & Import: https://docs.localstack.cloud/user-guide/state-management/export-import-state/

We’re partnering with gdotv to simplify development with our Amazon Neptune cloud emulator component. You can now easily query, visualise and model your graph data either interactively or using the Gremlin querying language with G.V() - Gremlin IDE.With G.V(), you can considerably enhance your graph database development experience whilst gaining access to a powerful reporting and visualisation toolset for your production data. With LocalStack’s core cloud emulator, parity is ensured between a local Neptune instance and AWS’s own, meaning Gremlin queries in your development environment will behave identically on Amazon Neptune. In this video we demonstrate how to use G.V() with LocalStack Neptune.Read the announcement blog here: https://blog.localstack.cloud/2024-06-05-localstack-neptune-development-with-gv-gremlin-ide/

About a year ago we have released the first version of LocalStack Extensions: Extensions are a powerful mechanism to plug additional functionality into LocalStack - ranging from additional service emulators, to value-add features like Chaos Engineering, request logging, cloud resource replication/proxying, and more.Over the last couple of months we have been experimenting with a LocalStack Snowflake emulator extension, which allows to develop and test your Snowflake data pipelines entirely on your local machine!In this talk, Waldemar discusses and demonstrates how you can develop your Snowflake data pipelines locally with LocalStack.