Simulate Microservices, Cloud Services, and Everything Else with WireMock & LocalStack

Cloud pods are persistent state snapshots of your LocalStack instance that can easily be stored, versioned, shared, and restored. Cloud Pods can be used for various purposes, such as:• Save and manage snapshots of active LocalStack instances.• Share state snapshots with your team to debug collectively.• Automate your testing pipelines by pre-seeding CI environments.• Create reproducible development and testing environments locally.In this session from LocalStack Community Meetup July '24, Bart Szydlowski explores how to use Cloud Pods to accelerate your cloud development & testing. He showcases how you can get started with Cloud Pods, integrate them into your testing pipelines, and make it easy for your team members to be onboarded to your cloud infrastructure — running all on your local machine!Docs: https://docs.localstack.cloud/user-guide/state-management/cloud-pods/

LocalStack is a cloud service emulator designed for local development and testing of cloud applications. With LocalStack, you can test AWS CloudWatch metric alarms, to get notified on infrastructure failures — all on your local machine!In this video, you will learn how you can use a CloudWatch metric alarm to get notified automatically when your Lambda function invocations fail. You will also set up an email notification using the Simple Email Service (SES) and our Mailhog extension.## Resources• CloudWatch Docs: https://docs.localstack.cloud/user-guide/aws/cloudwatch/• LocalStack Extensions: https://docs.localstack.cloud/user-guide/extensions/• Mailhog extension: https://pypi.org/project/localstack-extension-mailhog

LocalStack integrates with official AWS Software Development Kits (SDKs) so you can connect to LocalStack services using the same application code you use for AWS services. This lets you develop and test your applications locally without connecting to the cloud.In this video, we will talk about how you can connect to LocalStack emulated services using AWS SDKs.