Local Build Cache vs Remote: Cost Balance in CI/CD Speed
Local build cache or remote cache in your CI/CD pipelines? I dive deep into the balance of speed, cost, and efficiency.
15 posts found.
Local build cache or remote cache in your CI/CD pipelines? I dive deep into the balance of speed, cost, and efficiency.
My experiences with how monorepo and polyrepo choices in software projects affect CI/CD processes, team dynamics, and long-term project health…
Dependency security management is a critical issue in software projects. Zero tolerance by stopping the build, or flexibility with warnings? My field.
I analyze the practicality of shared build cache solutions for independent developers in terms of cost, performance, and maintenance. From my own experiences...
Comparing the impact of Monolith and Microservices architectures on CI/CD processes, with practical experience. Deciding when to choose which.
Does using self-hosted runners in CI/CD processes truly save money? I compared hidden costs, hardware resources, and operational overhead.
Improve developer quality of life by speeding up slow CI/CD processes. We examine 3 practical and concrete methods for build cache optimization.
How I approach CI/CD as an indie hacker, the impact of unnecessary complexity on time and cost, and simple, effective solutions. My journey...
I examine the effects of build cache mechanisms on CI/CD times and, consequently, our daily workflow, looking at the differences between local and shared.
I examine the advantages and disadvantages of running your GitHub Actions runners on your own servers, focusing on cost, performance, and control.
A step-by-step guide on how I moved my GitHub Actions runner to my own VPS and reduced costs, while meeting my specific needs.
I'm sharing how a cleanup script I wrote on my GitHub Actions runner crashed my system, and the lessons I learned from this painful experience.
A practical model that lowers supply-chain risk on self-hosted CI runners with isolation, network boundaries and OIDC-based short-lived authorization.
Balancing safety and speed in IaC: a guide to managing prod changes through plan/apply separation, drift detection, policy-as-code, and approval flows.
A practical Batfish flow that validates routing/ACL changes before they reach production via 'snapshot + question set,' catching human error early.