Session

With the dominance of various cloud service providers, engineering teams across the globe are looking to focus their time and energy on optimizing their cloud development, testing & deployment workflows. It is often slow and tedious and doesn't serve the purpose, with teams left to demystify their cloud development workflows to be more efficient. These traditional deploy & test cycles often lead to an inefficient idle time where deployment needs to be triggered more than once during testing & debugging.

LocalStack is a cloud service emulator that runs in a single container on your laptop or in your CI environment. Using LocalStack, you can spin up a local test environment in seconds and get the same functionality you would get from a real AWS environment. With over 41,000+ GitHub Stargazers and 10,000+ users worldwide, LocalStack supports many AWS services, like AWS Lambda, S3, DynamoDB, Kinesis, SQS, SNS, and many more!

The advantages of using LocalStack are huge:

• No cost for creating cloud services & resources.
• No overhead infrastructure management for testing & integration.
• No need to be online to test changes and use the self-contained package inside a Docker container.
• Easy integration with various AWS & non-AWS services, including CI/CD pipelines and IaaC toolings.

Apart from supporting engineers in improving their inefficient development & testing loops, LocalStack also has a lot of exciting development around our core Python stack. This talk will demonstrate Amazon Service Framework (ASF), our in-built service which allows us to add support for new AWS services in LocalStack and update existing ones. Using the Botocore's availability of a low-level interface of AWS APIs, ASF automates the process of updating our APIs using the LocalStack edge proxy service.