In large-scale companies with huge DevOps environments, caching isn’t just an optimization — it’s a survival strategy. Applications teams working with artifact repositories, container registries, and CI/CD pipelines often encounter performance issues that aren’t rooted in code inefficiencies, but rather in the overwhelming volume of metadata requests hammering artifact services or in short binary storage systems, which are key to the functioning of any application or batch.

“A well-architected caching strategy can mitigate these challenges by reducing unnecessary backend load and improving request efficiency.”