All articles tagged with GitLab CI
Slow pipelines are the silent killer of engineering velocity. Learn how to optimize CI/CD I/O bottlenecks, configure self-hosted runners on NVMe infrastructure, and leverage local Oslo peering for instant registry pulls.
Your build pipeline isn't slow because of bad code; it's slow because your infrastructure is choking on I/O. Here is the battle-hardened guide to optimizing CI/CD throughput using NVMe storage, self-hosted runners, and proper caching strategies in a Norwegian regulatory context.
Shared CI runners are a bottleneck for serious DevOps teams. Learn how to cut build times by 60% using self-hosted runners, NVMe storage, and local caching strategies compliant with Norwegian data sovereignty.
Slow build times are killing your team's velocity. We dissect the root causes of pipeline latency—from I/O bottlenecks to network hops—and show you how to cut deployment times by 60% using optimized KVM runners.
Stop blaming your code for slow builds. We dissect how I/O wait and CPU steal time on cheap VPS providers strangle your DevOps agility, and how to fix it with proper KVM isolation and NVMe storage in the Norwegian market.
Shared CI runners are the silent killer of developer velocity. Learn how to cut build times by 60% using private runners, Docker layer caching, and NVMe infrastructure located right here in Oslo.
Slow pipelines kill developer momentum. Learn how to optimize Docker caching, eliminate I/O bottlenecks, and leverage NVMe-backed infrastructure to cut build times by 80%.
Stop blaming your developers for slow deployments. This deep dive covers the hidden impact of network latency and disk I/O on CI/CD pipelines, specifically for Norwegian DevOps teams, and how to fix it using self-hosted runners on high-performance NVMe infrastructure.
Stop watching progress bars. A battle-tested guide to slashing build times using caching strategies, Docker layer optimization, and high-IOPS NVMe infrastructure in Norway.
Slow pipelines bleed money. We dissect the I/O bottlenecks killing your deployment times and show you how to fix them using Docker BuildKit, aggressive caching, and the right infrastructure strategy for Nordic teams.
Your build pipeline shouldn't take a coffee break. We dissect the I/O bottlenecks killing your deployment speed, from Docker layer caching to NVMe throughput, and explain why a dedicated runner in Oslo beats shared SaaS every time.
Slow builds aren't just annoying; they bleed budget. Discover how to identify I/O bottlenecks, optimize Docker layer caching, and why NVMe storage is non-negotiable for serious DevOps in the Nordic market.
Stop relying on sluggish shared runners. A battle-hardened guide to optimizing CI/CD pipelines using local caching, NVMe storage, and self-hosted runners compliant with Norwegian data laws.
Your 20-minute build time is a symptom of poor I/O, not code complexity. Here is how we cut pipeline latency by 60% using Docker BuildKit, proper caching strategies, and NVMe-backed infrastructure in Oslo.
Slow build times are the silent killer of developer velocity. Learn how to architect I/O-heavy pipelines using NVMe storage, efficient Docker caching, and local Norwegian infrastructure to cut deployment times by 60%.
Your 15-minute build time is a hidden tax on engineering velocity. Learn how to cut CI/CD latency by 60% using self-hosted runners, Docker layer caching strategies, and local NVMe infrastructure in Norway.
Stop blaming your build scripts. The real reason your pipeline drags is likely infrastructure latency and poor I/O. Here is how to fix it using 2020's best practices.
Your developers cost 1,500 NOK an hour. Why are they watching progress bars? We dissect the I/O bottlenecks killing your pipelines and deploy a battle-tested GitLab CI optimization strategy using NVMe-backed runners in Oslo.
Waiting 20 minutes for a build to deploy isn't a coffee break; it's a productivity killer. We dissect how disk I/O, network latency, and proper runner configuration in 2019 can slash build times by 60%.
Your developers are browsing Reddit because your build pipeline is stalled. Here is how to cut deployment times by 60% using Docker caching strategies, specific overlay2 drivers, and high-IOPS infrastructure in Norway.
Waiting 40 minutes for a deployment is a symptom of infrastructure failure, not code complexity. We dissect how NVMe I/O, proper caching strategies, and local Norwegian hosting can cut build times by 60%.
Is your build pipeline slower than your deployment schedule? We dissect I/O bottlenecks, Docker layer caching, and the specific advantages of NVMe storage for CI runners in the Norwegian hosting landscape.
Slow builds are a developer retention killer. We dissect how I/O bottlenecks and latency impact your pipeline, and how to fix them using Docker multi-stage builds, NVMe storage, and proper caching strategies.
Manual deployments are creating snowflake servers. Learn how to implement a rigid GitOps workflow using GitLab CI, Kubernetes, and Terraform to ensure your infrastructure matches your code—compliant with the new GDPR rules.