How do I structure modules for Layer caching in Salt?

Layer caching is an essential technique in DevOps for optimizing build times and resource utilization. In SaltStack, you can structure your modules to take advantage of layer caching effectively. This allows for reusable components and improved performance across your infrastructure.

Here’s how to structure your Salt modules for layer caching:

# Example Structure for Salt Modules /srv/salt/ ├── base.sls ├── common.sls ├── webserver/ │ ├── init.sls │ ├── config.sls │ └── package.sls └── database/ ├── init.sls ├── schema.sls └── backup.sls

This folder structure helps to organize your Salt states based on functionality. Each service can have its module directory, making it easy to cache relevant layers.


Keywords: SaltStack Layer Caching DevOps Module Structure Infrastructure Optimization

Related Questions

How do I avoid rehashing overhead with std::set in multithreaded code?

How do I find elements with custom comparators with std::set for embedded targets?

How do I erase elements while iterating with std::set for embedded targets?

How do I provide stable iteration order with std::unordered_map for large datasets?

How do I reserve capacity ahead of time with std::unordered_map for large datasets?

How do I erase elements while iterating with std::unordered_map in multithreaded code?

How do I provide stable iteration order with std::map for embedded targets?

How do I provide stable iteration order with std::map in multithreaded code?

How do I avoid rehashing overhead with std::map in performance-sensitive code?

How do I merge two containers efficiently with std::map for embedded targets?