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:1. Configure your dev environment variables2. Start LocalStack in Docker3. Run your IaC filesGet faster feedback and reduce costs by testing locally with LocalStack!## ResourcesThis project is available in both the open-source and pro versions. LocalStack Pro significantly simplifies development by using Transparent Endpoint Injection.• Project using LocalStack OSS: https://github.com/localstack-samples/sample-shipment-list-demo-lambda-dynamodb-s3• Project using LocalStack Pro: https://github.com/localstack-samples/sample-pro-version-shipment-list-demo-lambda-dynamodb-s3## Documentation• Transparent Endpoint Injection: https://docs.localstack.cloud/user-guide/tools/transparent-endpoint-injection/• Terraform for LocalStack: https://docs.localstack.cloud/user-guide/integrations/terraform/• LocalStack Lambda: https://docs.localstack.cloud/user-guide/aws/lambda/• LocalStack S3: https://docs.localstack.cloud/user-guide/aws/s3/• LocalStack DynamoDB: https://docs.localstack.cloud/user-guide/aws/dynamodbstreams/• LocalStack SQS: https://docs.localstack.cloud/user-guide/aws/sqs/• LocalStack SNS: https://docs.localstack.cloud/user-guide/aws/sns/

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.