Ever wonder why some teams intentionally break their own systems? Welcome to the world of chaos engineering — a practice that's not just for Netflix-scale infrastructure, but for any team that wants to build resilient, reliable applications.In this session, we'll demystify chaos engineering and explain why intentionally breaking things is actually the smart move. You'll learn:What chaos engineering really is (in plain English, no buzzwords)Why waiting for production failures is a terrible strategyHow to start experimenting with controlled failure locally, before it happens in the wildReal-world examples of chaos experiments that catch bugs you'd never find in traditional testingTools and techniques to get started without blowing up your infrastructureThrough practical demos using LocalStack's cloud emulation and chaos engineering tools, we'll simulate failures like network latency, service outages, and resource exhaustion right from your laptop.If you've ever said "it worked on my machine" only to watch it crash in production, this talk is for you—let's break things intentionally so they don't break unexpectedly.

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.