All articles tagged with NVMe
Forget AWS Lambda cold starts and unpredictable billing. Learn how to architect a latency-crushing, private FaaS cluster using Docker Swarm and OpenFaaS on CoolVDS NVMe instances in Oslo. Total control, zero lock-in.
Is your AWS bill spiraling out of control? Learn battle-tested strategies to slash infrastructure costs, optimize Linux performance, and leverage Norwegian data sovereignty without sacrificing speed.
It is 2017, and TensorFlow 1.0 has changed the game. But throwing a Titan X at your model is useless if your I/O is choking the pipeline. Here is how to architecture a training stack that actually saturates the bus, strictly for Norwegian data compliance.
Database migration shouldn't be a game of Russian Roulette. Learn battle-tested strategies using replication and Percona tools to migrate your stack to high-performance NVMe infrastructure in Oslo without killing your uptime.
A battle-tested guide to optimizing Jenkins and GitLab CI pipelines. We cover Docker layer caching, NVMe I/O bottlenecks, and why infrastructure choice matters for Norwegian dev teams preparing for GDPR.
Public cloud scalability often masks massive inefficiencies. We analyze the TCO of high-performance infrastructure in 2017, from NVMe economics to the looming GDPR regulations.
The 'pay-as-you-go' model is often a trap. Learn how to audit your infrastructure, eliminate zombie instances, and leverage Norwegian NVMe VPS to cut TCO by 40% before GDPR hits.
In 2017, the rush to Machine Learning is overwhelming, but your infrastructure choices might be sabotaging your results. We dissect why NVMe storage and KVM isolation are non-negotiable for data science workloads in Norway.
Latency isn't just network distance; it's disk I/O and kernel locks. We dissect the 2016 stack for high-performance API Gateways, focusing on Nginx tuning, TCP stack optimization on CentOS 7, and why NVMe storage is the only viable option for serious workloads.
Is your deployment pipeline bleeding time? We dissect the IOPS bottleneck in Jenkins and Docker workflows and show why high-performance infrastructure is the only cure for slow builds in 2016.
Stop relying on basic uptime checks. In 2016, performance is the new uptime. Learn how to implement the ELK stack, debug MySQL latency, and why underlying hardware I/O is the silent killer of application speed.
Why your Zabbix or Graphite instance is choking on disk writes, and how to architect a high-availability monitoring stack using NVMe storage and proper database tuning in a post-Safe Harbor Europe.
Is your AWS bill spiralizing out of control? Discover why hyperscalers might be draining your budget and how migrating to NVMe-based VDS in Norway can slash TCO while boosting I/O performance.
Default configurations are killing your API performance. We dive deep into Linux kernel tuning, Nginx upstream keep-alives, and the impact of NVMe storage on high-throughput gateways in the Norwegian hosting landscape.
Waiting 30 minutes for a build to fail is a productivity killer. We dive into Jenkins 2.0 pipelines, Docker layer caching, and why NVMe storage is the secret weapon for Norwegian DevOps teams facing I/O bottlenecks.
Is your monthly cloud bill spiraling out of control? Discover practical, 2016-era strategies to slash infrastructure costs by leveraging KVM virtualization, NVMe storage, and Norwegian data sovereignty.
Is your AWS bill spiraling while performance stagnates? We analyze why moving stable workloads to high-performance NVMe VPS in Norway offers better TCO than the hyperscalers.
Is your Jenkins build queue moving slower than rush hour on Ring 3? We dissect the hidden I/O bottlenecks killing your deployment times and how to fix them with proper infrastructure tuning.
When your primary master hits 100% I/O wait, vertical scaling stops working. We explore practical sharding strategies using MySQL 5.7, ProxySQL, and KVM architecture to maintain sub-millisecond latency for Norwegian workloads.
Is your Jenkins build queue longer than the line at the Vinmonopolet before a holiday? We dive deep into optimizing I/O bottlenecks, Docker layer caching, and infrastructure choices to cut build times by 60%.