Creating data pipelines and applications for the cloud comes with challenges like a complicated developer experience, dealing with managed cloud dependencies, and enduring long build times. These issues often disrupt your development and testing cycles.LocalStack's cloud emulation allows you to construct, deploy, and test data pipelines on your local machine. It facilitates integration testing of cloud solutions both locally and in CI pipelines. This approach saves time and money, enhances developer velocity, and supports high-quality, agile, test-driven development.In this talk, Harsh delves into developing and testing cloud-based data pipelines on your local machine. The session will provide a firsthand look at the new Snowflake emulator and demonstrate how you can use LocalStack to create Snowflake warehouses, databases, schemas, and tables, and integrate frameworks like Snowpark.

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.