Console Login

Search Results

Found 498 results for: machine

coolvds.com › Blog › DevOps & Infrastructure

Kubernetes vs. Docker Swarm: A 2017 Survival Guide for Nordic Ops

· CoolVDS Team

We compare Kubernetes 1.6 and Docker Swarm Mode for production workloads. Discover why underlying KVM infrastructure and NVMe storage are critical for container performance in the looming GDPR era.

coolvds.com › Blog › DevOps & Infrastructure

Cloud Cost Optimization in 2017: Escaping the Hyperscaler Price Trap

· CoolVDS Team

The cloud promise was simple: pay only for what you use. The reality? You are paying for zombie instances, unattached storage, and hidden bandwidth fees. Here is a pragmatic guide to cutting infrastructure costs by 40% without sacrificing performance.

coolvds.com › Blog › DevOps & Infrastructure

Stop Bleeding Cash: A Systems Architect’s Guide to Cloud Cost Control

· CoolVDS Team

The cloud promise of 'pay for what you use' often turns into 'pay for what you forgot to turn off'. Learn actionable strategies to slash infrastructure costs without sacrificing performance, from kernel tuning to selecting the right virtualization technology.

coolvds.com › Blog › Security & Compliance

When RAID Fails: A Battle-Tested Disaster Recovery Guide for 2017

· CoolVDS Team

RAID is not a backup. In this deep dive, we explore RTO/RPO strategies, script automated offsite backups with rsync, and discuss why data sovereignty in Norway matters more than ever before the 2018 GDPR rollout.

coolvds.com › Blog › DevOps & Infrastructure

API Gateway Performance Tuning: Nginx, Lua, and the 10ms Goal

· CoolVDS Team

A battle-hardened guide to tuning your API Gateway for maximum throughput and minimal latency using 2017's best practices. From sysctl kernel tweaks to upstream keepalives, we dissect the stack.

coolvds.com › Blog › AI & Machine Learning

Deep Learning Bottlenecks: Why Fast NVMe and KVM Matter More Than Your GPU

· CoolVDS Team

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.