Running Local AWS CI/CD and dbt Workflows with LocalStack
Details
Join our June meetup to explore faster, local-first development for CI/CD and data workflows using LocalStack. This session features two technical talks focused on simplifying AWS DevOps and data transformation pipelines — all from your laptop.
Viren Nadkarni will demonstrate how you can emulate full AWS CI/CD pipelines locally with LocalStack’s new support for CodeBuild, CodeDeploy, and CodePipeline. Harsh Mishra will showcase how to run dbt workflows locally using the Snowflake emulator in LocalStack.
Whether you're building deployment pipelines or transforming data warehouses, this meetup will help you speed up feedback loops, reduce cloud costs, and test with confidence — all in a fully local setup.
Emulating AWS CI/CD pipelines with LocalStack by Viren Nadkarni
Testing AWS CI/CD pipelines in the cloud can be slow, error-prone, and hard to debug, especially when you're wrestling with IAM permissions or waiting on long feedback cycles. This session walks through how you can now emulate complete DevOps workflows locally using LocalStack.
We’ll cover recent additions to LocalStack that support new service providers such as:
- CodeBuild: Run build processes across different runtimes directly on your machine
- CodeDeploy: Emulate deployment steps without touching the real infrastructure
- CodePipeline: Create and test CI pipelines, transitions, and triggers locally
Through a live demo, we’ll walk through a working example of a CI/CD pipeline — building a Rust project, deploying it, and running the pipeline stages — all without leaving your laptop.
This session is useful for developers building or debugging AWS-native CI/CD workflows and looking for faster, more controlled ways to test them.
About Speaker
Viren is a Senior Software Developer at LocalStack and is the service owner for various emulated services, such as EC2, DynamoDB, IoT & SES.
Running dbt workflows locally with LocalStack by Harsh Mishra
dbt (Data Build Tool) helps data engineers manage data transformations using modular SQL and brings version control, testing, and documentation to their transformation logic. However, running dbt against production data warehouses like Snowflake can be slow, expensive, and risky.
This session introduces a new way to develop and test dbt workflows locally using the Snowflake emulator in LocalStack. You'll learn how to:
- Set up a local dbt environment
- Configure dbt to connect to the Snowflake emulator
- Run and validate dbt models locally without using a real Snowflake account
- Iterate quickly on transformations before pushing them to production
Through a hands-on factory app example, we’ll walk through how to use the Snowflake emulator to run dbt models on your laptop, helping you test logic, catch issues early, and reduce cloud costs.
About Speaker
Harsh Mishra is an Engineer at LocalStack and an AWS Community Builder. His interests are in DevOps, Platform Engineering, and CI/CD pipelines.
Participation
This event will be hosted on YouTube Live. Once registered, you’ll receive a link and calendar invite with YouTube Live details. You can view the live stream, participate by chat, or join Q&A. You will be able to access the event recording on our YouTube channel.
Social & Community
Running Local AWS CI/CD and dbt Workflows with LocalStack