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Cloud Cost Optimization Blog

Actionable guides on reducing cloud waste, FinOps frameworks, and multi-cloud governance for engineering teams.

FinOps

Cloud Waste Is Rising Again for the First Time in 5 Years — And the Easy Wins Are Gone

Flexera 2026 data shows cloud waste back at 29% — the first increase in five consecutive years. Old-generation instances, gp2 volumes, abandoned commitments, and cross-AZ traffic are the new frontier. Here's what's driving the increase and what actually works now.

NJ
Nishant JainSep 18 · 15m
Cloud Cost Optimization

Your GPUs Are Running at 23% Utilization — The Real Math on What That Costs (and How to Fix It)

Average GPU utilization across production teams is 23%. An H100 at 50% utilization effectively costs double per productive GPU-hour compared to 100% utilization. Here's how to find your GPU waste, calculate the actual dollar impact, and implement auto-shutdown policies that save five figures a month.

NJ
Nishant JainSep 18 · 16m
Cloud Cost Optimization

83% of Kubernetes Costs Are Idle Resources — Why Your Cloud Bill Can't Tell You Which Team Owns It

Container workloads now consume 35% of EC2 compute spend, but 83% of that is idle. The bigger problem: your cloud billing tool sees the node, not the namespace. Here's how to build real Kubernetes cost visibility and recover the waste.

NJ
Nishant JainSep 18 · 17m
Cloud Cost Optimization

Kubernetes Cost Optimization: How to Cut EKS, AKS & GKE Spend by 40% (2026)

Kubernetes clusters hide waste in over-provisioned node pools, idle namespaces, and CPU requests that never get used. Here's a practical guide to cutting K8s costs across all three clouds.

NJ
Nishant JainAug 22 · 16m
GCP

GCP Committed Use Discounts Explained: CUDs vs SUDs vs Flex CUDs (2026)

Google Cloud's commitment pricing is confusing. This guide breaks down CUDs, SUDs, and the new Flex CUDs — when to buy each, how to calculate coverage, and mistakes to avoid.

NJ
Nishant JainAug 20 · 14m
GCP

BigQuery Cost Optimization: Slots vs On-Demand and 8 Query Patterns That Drain Your Budget

BigQuery's on-demand pricing makes it easy to run a $500 query without realizing it. Learn when to switch to slots, which query patterns waste money, and how to set up cost controls.

SP
Sambhav PalAug 19 · 13m
Azure

How to Tell if an Azure VM is Actually Needed vs. Forgotten (The 30-Day Signal Method)

Before you terminate a VM showing 5% CPU, you need to answer one question: is it idle because nobody needs it, or idle because it's waiting for its moment? Here's the systematic method to know for sure.

NJ
Nishant JainAug 18 · 11m
Cloud Cost Optimization

Autoscaling vs Rightsizing: Your Resource Isn't Idle, It's Just Sleeping

Most optimization tools tell you to downgrade a VM that's at 10% CPU. But if that VM hits 80% for 4 hours every day, downsizing it will crash your application. Here's how to tell the difference.

NJ
Nishant JainAug 16 · 12m
Cloud Cost Optimization

Reserved Instances vs Savings Plans: Which One Actually Saves More (and When to Buy Neither)

The most expensive FinOps mistake isn't wasted compute. It's buying a 3-year reservation for a resource you should have deleted. Here's how to decide between RIs, Savings Plans, and staying on-demand.

NJ
Nishant JainAug 14 · 13m

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