Kubernetes Cost Allocation: Showback vs Chargeback (2026 Guide)
Kubernetes cost allocation turns a shared cluster bill into per-team numbers. Learn showback vs chargeback, idle/shared-cost splitting, and the maturity path.
Blog
Platform engineering, in the open.
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.
FeaturedPlatform
Portal IDP vs Execution IDP: The Difference That Actually Matters
Portal 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 Intelligence
SecurityKubernetes Compliance & SOC 2: Continuous, Not a Scramble
SOC 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 OptimizationKubernetes FinOps: Complete Guide for Engineering Teams
Comprehensive 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 OptimizationRight-Sizing Kubernetes Workloads: Data-Driven Approach
Comprehensive 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.
KubernetesKubernetes Pod Pending: 10 Reasons & How to Fix
A 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 EngineeringHow We Built a CI/CD Engine That Runs Hundreds of Pipelines a Day on Kubernetes
A 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 vs K9s vs Octant: The Ultimate Kubernetes UI Showdown (2026 Edition)
Lens, K9s, and Octant for Kubernetes management. We analyze performance, features, and how AI tools like Atmosly are changing the game.
KubernetesKubernetes for Startups: Getting Started Guide
The 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.
KubernetesKubernetes for Machine Learning: Complete MLOps Guide
A comprehensive guide to running Machine Learning workloads on Kubernetes. Covers GPU management strategies, distributed training, model serving, security, cost optimization, and platform simplification.
Platform EngineeringGolden Paths in Platform Engineering: Kubernetes Edition
Learn how to design and implement 'Golden Paths' for Kubernetes. Reduce developer cognitive load and enforce standards using service templates and workflow automation.
Platform EngineeringInternal Developer Platform vs PaaS: What's the Difference?
Confused 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.
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