Field notes on running Kubernetes with less toil — AI SRE and incident response, CI/CD and golden paths, continuous security, cost, and the internal developer platform that ties them together.
FeaturedComprehensive Kubernetes FinOps guide for engineering teams: cost visibility, allocation strategies, forecasting, automation, maturity model, and how Atmosly accelerates FinOps by connecting to existing Prometheus infrastructure.
Cost OptimizationComprehensive guide to right-sizing Kubernetes workloads using Prometheus telemetry: percentile analysis, safety buffers, validation methodology, and how Atmosly automates 30-day utilization analysis for instant recommendations.
KubernetesA Kubernetes pod stuck in Pending means the scheduler can't place it. This guide covers all 10 causes - insufficient resources, node selectors, taints, PVCs, quotas, max-pods, topology spread, and scheduler issues - with kubectl diagnosis and fixes for each.
Platform EngineeringA deep technical guide to how Atmosly built a CI/CD engine that processes hundreds of pipeline executions daily across customer environments on EKS, GKE, and AKS. Covers our four-layer architecture, three-layer caching engine, canary/blue-green/rolling deployments, DevSecOps pipeline, approval system, and pipeline observability at Kubernetes scale.
KubernetesLens, K9s, and Octant for Kubernetes management. We analyze performance, features, and how AI tools like Atmosly are changing the game.
KubernetesThe definitive guide for startups adopting Kubernetes. Learn why to start early, how to build a lean stack, and how to avoid the 'PaaS Trap' while maintaining developer velocity.
KubernetesA comprehensive guide to running Machine Learning workloads on Kubernetes. Covers GPU management strategies, distributed training, model serving, security, cost optimization, and platform simplification.
Platform EngineeringLearn how to design and implement 'Golden Paths' for Kubernetes. Reduce developer cognitive load and enforce standards using service templates and workflow automation.
Platform EngineeringConfused between IDP and PaaS? We break down the differences, pros, and cons of each, and explain why Managed IDPs are the future for scaling engineering teams.
KubernetesComplete guide to ImagePullBackOff error in Kubernetes: learn what it means, 10 common causes (authentication, rate limiting, network issues, image not found), systematic debugging process, how to create ImagePullSecrets, and how Atmosly detects and fixes image pull failures automatically with specific remediation.
KubernetesComplete guide to Kubernetes OOMKilled errors: understand what OOMKilled means, learn 8 common causes (insufficient limits, memory leaks, load spikes), systematic debugging with Prometheus, memory profiling techniques, calculate optimal limits, fix leaks, and how Atmosly detects leaks automatically with cost-aware recommendations.
Platform EngineeringA comprehensive guide to implementing Self-Service Kubernetes. Covers RBAC design, GitOps workflows, Policy-as-Code with OPA, cost management, and rollout strategy.
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