Optimizing Our E2E Pipeline

In the world of DevOps and Developer Experience (DevXP), speed and efficiency can make a big difference on an engineer’s day-to-day tasks. Today, we’ll dive into how Slack’s DevXP team took some existing tools and used them to optimize an end-to-end (E2E) testing pipeline. This lowered build times and reduced redundant processes, saving both time…

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Slack
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Dan Carton
•7 min read•advanced•
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Overview

The article discusses how Slack's DevXP team optimized their end-to-end (E2E) testing pipeline, significantly reducing build times and eliminating unnecessary frontend builds. By implementing a smarter build strategy that leverages cached frontend assets, they achieved a 60% reduction in build frequency and a 50% decrease in build time.

What You'll Learn

1

How to implement conditional frontend builds to optimize CI/CD pipelines

2

Why reusing cached assets can significantly reduce build times

3

How to manage frontend builds efficiently in a monorepo environment

Prerequisites & Requirements

  • Understanding of CI/CD pipelines and frontend build processes
  • Familiarity with AWS S3 for asset storage(optional)

Key Questions Answered

How did Slack reduce their frontend build times?
Slack reduced frontend build times by implementing a conditional build strategy that checks for changes before initiating a build. This approach allowed them to skip unnecessary builds, leveraging cached assets instead, which significantly cut down on build time and resource usage.
What were the results of optimizing the E2E testing pipeline?
The optimization led to a 60% reduction in build frequency and a 50% decrease in build time, saving hundreds of hours monthly in cloud compute time and reducing AWS S3 storage by several terabytes each month.
What challenges did Slack face while scaling their solution?
Slack encountered challenges in identifying frontend changes due to the large number of tracked files in their monorepo, as well as the need for efficient asset management to find prebuilt versions that were fresh enough for testing.

Key Statistics & Figures

Reduction in build frequency
60%
Achieved by reusing prebuilt frontend assets.
Decrease in build time
50%
Average build time reduced from ~5 minutes to ~2 minutes.
Storage savings in AWS S3
Several terabytes
Reduced duplicate assets stored monthly.

Technologies & Tools

Storage
AWS S3
Used for storing frontend build assets.
Version Control
Git
Utilized for tracking changes in the codebase.

Key Actionable Insights

1
Implement conditional builds in your CI/CD pipeline to avoid unnecessary builds.
This approach not only saves time but also reduces resource consumption, especially in large codebases where many changes do not affect the frontend.
2
Utilize internal CDNs to serve prebuilt assets for testing.
By serving prebuilt assets, teams can ensure they are testing against the latest production code without the overhead of frequent builds.
3
Regularly audit your build processes to identify inefficiencies.
Continuous improvement in build processes can lead to significant time savings and improved developer experience.

Common Pitfalls

1
Failing to identify unnecessary builds can lead to significant delays in CI/CD pipelines.
This often occurs in large repositories where many changes do not impact all components, leading to wasted resources and time.

Related Concepts

CI/CD Optimization
Frontend Build Processes
Asset Management In Software Development