Cost-Aware SLOs for Kubernetes
Pair latency and availability targets with spend guardrails so reliability does not blow up your cloud bill.
Insights on Kubernetes cost allocation, FinOps, and engineering efficiency.
Pair latency and availability targets with spend guardrails so reliability does not blow up your cloud bill.
Pod crashing immediately? Here is how to debug it when 'kubectl logs' returns nothing.
Before you trust ML to resize pods, fix your signals, budgets, and guardrails. Otherwise AI just automates bad guesses.
Spot Instances are cheap until they break your app. Here is the boilerplate code you need to handle SIGTERM and preStop hooks correctly.
Stop guessing your CPU and RAM requests. A data-driven guide to right-sizing your pods without killing performance.
You don't need AI-driven anomaly detection to save money. You need to fix your Node Rightsizing and Requests. Here is the strategy.
It's not just $73/month. The real cost of EKS is in the add-ons, the upgrades, and the complexity.
Cost data shouldn't live in a separate dashboard behind a login screen. It belongs in your terminal, right next to kubectl.
A one-liner to instantly see which pods are hogging your cluster's CPU. No dashboard required.
A lightweight QBR template that aligns engineering, finance, and product on spend, savings, and bets.
Staging and QA often cost as much as prod. Here’s how to cut that in half without slowing releases.
Use policies, quotas, and network controls that keep costs predictable while preserving developer autonomy.
Is it cheaper to self-host Focalboard on AWS EKS or just pay for Notion/Trello? We break down the TCO, including hidden cluster costs.
Measure platform outcomes that correlate with lower Kubernetes bills instead of vanity DevOps metrics.
A step-by-step playbook to triage sudden spend spikes and prevent them from happening again.
Every agent you install (Datadog, Splunk, Istio) taxes your CPU and Memory. Learn how to calculate the true cost of your DaemonSets.
Why is your AWS bill so high? It's probably NAT Gateways. Learn the 'Double Dip' trap, see the architecture diagrams, and discover 3 cheaper alternatives.
A practical recipe to turn namespace labels into monthly cost statements that engineers trust.
Add budget checks to pull requests and deployments so cost surprises never hit production.
The great debate: Should you set CPU limits in Kubernetes? We dive into CFS quotas, throttling latency, and why 'Requests Only' might be the better FinOps move.
Spot instances promise 90% savings, but interruptions, data transfer, and engineering fatigue can wipe that out. Here is when NOT to use them.
A punchy list of cost and reliability anti-patterns plus the fixes that ClusterCost users apply in the real world.
Combine ClusterCost’s OSS dashboard with Grafana and Parquet exports to give every stakeholder actionable insights.
Traditional AWS reports miss pods, namespaces, and tenants—FinOps teams need workload-aware telemetry to drive action.
Requests keep the cluster stable, limits prevent noisy neighbors, and both drive cost—here’s how to tune them.
Adopt a battle-tested tagging schema that keeps ClusterCost, AWS Billing, and finance dashboards in sync.
Quantify zombie capacity, catch misconfigured autoscalers, and automate remediation with ClusterCost.
Blend ClusterCost exports with simple math to predict spend per namespace, team, or customer.
Detailed formulas for allocating EC2 and Fargate spend to each ECS task, including shared networking and storage.
AWS Cost Explorer cannot see pods, namespaces, or spot dynamics—learn the gaps and how ClusterCost fills them.
Model better instance families, blend spot/on-demand capacity, and validate savings with ClusterCost.
Understand every line item that ends up on your EKS bill and how to forecast costs before creating a cluster.
Use requests vs. usage signals, performance guardrails, and ClusterCost automations to right-size pods safely.
Compare pricing levers, operational overhead, and optimization pathways before committing to Kubernetes or ECS.
Adopt a tagging blueprint, reporting cadence, and governance model that keeps engineering and finance aligned.
Walk through two anonymized namespaces and learn the math behind their monthly AWS charges.
Identify the ten most expensive Kubernetes anti-patterns and learn the exact playbooks to eliminate them.
Follow this framework to price every pod accurately across on-demand, reserved, and spot node groups.
Break down ECS spend per service, task, and environment—even when you mix EC2 and Fargate.
Learn how to align Kubernetes spend with the workloads and teams that generate it, without drowning in spreadsheets.
Stop guessing. Learn the '5 Pillars' framework for calculating the true cost of your Kubernetes clusters, from nodes to shared services.