Testing in the cloud = slow builds, fragile staging, surprise bills.Let’s talk about how developers are flipping the script and using local cloud environments to test smarter, faster, and cheaper — without breaking production.Bonus: You’ll learn how LocalStack lets you simulate AWS on your machine. Game changer.
LocalStack now provides enhanced support for running AWS services in Kubernetes environments. In this presentation from the LocalStack 4.0 community meetup by Simon Walker, we explore how to deploy and manage local AWS resources within Kubernetes clusters with LocalStack, to help developers maintain consistency between development and production environments.The session further covers LocalStack’s Kubernetes integration, including deployment via Helm charts, configuration of services like Lambda and RDS as Kubernetes pods, and networking between components. A demo illustrates provisioning a serverless application (Lambda functions interacting with a MySQL database) using Terraform, with all resources managed within a local Kubernetes cluster.You'll additionally learn the practical approaches for local testing and infrastructure emulation by moving from Docker to Kubernetes-native solutions as well as upcoming features, including broader service support and new container runtime options.## Resources- Documentation: https://docs.localstack.cloud/user-guide/localstack-enterprise/kubernetes-executor/- Get access: https://www.localstack.cloud/contact
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.
