LocalStack enables organizations to automate their application testing and integration process through DevOps practices, such as continuous integration (CI). LocalStack allows organizations to move away from complicated AWS testing and staging environments by enabling a key component of testing and delivering cloud-native applications.To further automate the process, we use Infrastructure-as-Code (IaC) frameworks like Terraform that allow you to create your resources declaratively and apply those resources. Testing your Terraform modules against the real AWS cloud can be time-consuming and costly and can make you run into the risk of dangling resources after an unsuccessful CI run. Using LocalStack to emulate a mock ephemeral AWS infrastructure on CI pipelines allows you to work on the same functionality the real AWS cloud provides while cutting down testing costs and deployment times.In this session, Jim Sheldon, Senior Developer Advocate at Harness, will demonstrate how to use LocalStack to test Terraform modules on Harness CI. Harness CI allows you to create software pipelines that will enable you to check out your code, build the software, run your tests, and validate every code change. We wind up the session with updates about the all-new LocalStack release!

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.