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.
FeaturedA practical pillar guide to Kubernetes cost allocation — how to attribute cluster spend down to a namespace, team, or application without a tagging project, why shared nodes make it hard, and the allocation models that keep the numbers honest.
Cost IntelligenceTeams use "cloud cost management" and "Kubernetes cost optimization" interchangeably — but they operate at different layers. This guide breaks down the difference, why cloud-level tools go blind inside the cluster, and how the two work together.
EngineeringGive every pull request a full, isolated preview environment. Learn the namespace-per-PR pattern, safe cloning, secret handling, RBAC, and TTL teardown.
AI SREFollow a single AI SRE agent fix end to end: from an OOMKill alert through evidence-grounded root-cause analysis to a merged, reviewable GitOps remediation PR. A frame-by-frame anatomy of the alert-to-PR loop, plus verification and auto-rollback.
Cost IntelligenceYour AWS invoice shows what you spent, never what you wasted. Here are the three Kubernetes cost leaks hiding in every EKS bill — and how to spot them.
PlatformPortal IDPs show developers a button; execution IDPs run the action. Learn the difference, four tests to classify any IDP, and which one your team needs.
Cost IntelligenceKubernetes cost allocation turns a shared cluster bill into per-team numbers. Learn showback vs chargeback, idle/shared-cost splitting, and the maturity path.
SecuritySOC 2, PCI DSS, and CIS Kubernetes compliance fail when treated as a yearly snapshot. Learn how to run continuous compliance as a stream — enforce policy at admission with OPA/Kyverno, scan continuously, and keep an immutable audit trail — so audits become an export, not an expedition.
Cost OptimizationComprehensive 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.
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