Local development and testing are significant for engineers who wish to ship confidently onto production environments. Test-driven development (TDD) has been adopted as an essential practice to enforce that and ensure that every code change is validated locally and on CI. This is where we arrive at the Testcontainers libraries that support your tests, providing lightweight, ephemeral instances of common databases, message brokers, web browsers, or anything else that can run in a Docker container. With Testcontainers, available in different popular languages: Java, Go, .NET, JavaScript/Typescript, and Python, you can replicate the production environment on your local machine and test everything (including AWS APIs powered by LocalStack)! Testcontainers ensure that the data access layer, user interface, and application are tested well at each step. In this session, we have looked at Testcontainers and how to adopt them to develop our applications locally and run our integration tests while using LocalStack to provision cloud resources inside a Docker container before pushing your application to production! In the end, we have also discussed how LocalStack and the Java version of Testcontainers play nicely with each other and wind up with updates about the all-new LocalStack release!

In this video, you'll learn how to set up and integrate LocalStack's Snowflake Emulator to develop and test your Snowflake data apps in your local environment or CI pipelines. Whether you're using Snowpark, various client libraries, or building interactive data apps with frameworks like Streamlit, this emulator simplifies your developer experience.We'll walk you through step-by-step instructions on:- Installing the Snowflake emulator with the LocalStack CLI & Docker- Configuring and integrating the emulator with popular SQL clients, such as DBeaver- Running SQL queries locally to replicate a full Snowflake environment without cloud dependencies⚡ Get early access! The Snowflake Emulator is currently in public preview—reach out via the link below for access and start building today!## Resources- LocalStack for Snowflake documentation: https://snowflake.localstack.cloud/- LocalStack for Snowflake samples: https://github.com/localstack-samples/localstack-snowflake-samples- Get access: https://www.localstack.cloud/contact

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/

In this session, Maximillian Hoheiser discussed developing & testing AWS Data Streaming with LocalStack! In this talk, he focused on Kinesis Data Firehose, an AWS service that allows you to extract, transform, and load streaming data into various destinations like Amazon S3.He dived into how to set up testing for Kinesis Firehose and seamlessly integrated it with other services using Boto3 and CDK/CloudFormation. Maximillian led a live demonstration, showcasing how to set up a practical business case, implement it, and rigorously test it using LocalStack.