An Insight into NX Caching: Improving Build Times and Developer Productivity

Learn about how Nx cache works

This lesson preview is part of the The Art of Enterprise Monorepos with Nx and pnpm course and can be unlocked immediately with a \newline Pro subscription or a single-time purchase. Already have access to this course? Log in here.

This video is available to students only
Unlock This Course

Get unlimited access to The Art of Enterprise Monorepos with Nx and pnpm, plus 70+ \newline books, guides and courses with the \newline Pro subscription.

Thumbnail for the \newline course The Art of Enterprise Monorepos with Nx and pnpm
  • [00:00 - 01:04] In this module we are going to discuss about NX caching. NX provides support for caching to improve build times and developer productivity. By intelligently caching computation results, NX/O is redundant work allowing developers to build tests and deploy projects more efficiently. NX caching works by storing the outputs of computations such as build artifacts , test results, etc. Reusing them when the inputs remain unchanged. This way if you make a change in your codebase that doesn't affect the final output, NX can skip rebuilding or retesting those parts saving time and resources. NX includes a feature known as computation caching. With this functionality NX captures a hash based on input parameters for cacheable operations and stores the computed result. When a matching hash is detected NX doesn't rerun the computation but instead retrieves the previous result. This mechanism significantly acceler ates processes by eliminating the need to redo computations that have already been performed.

    [01:05 - 01:35] To utilize caching effectively in NX you typically need to configure caching strategies based on your project's requirements. This might involve specifying which computations to cache, setting cache expiration policies, configuring cache, busting strategies and managing cache storage options. By leveraging caching in NX development teams can achieve faster build times, smooth the development workflows and ultimately deliver software more quickly and efficiently.