Kubernetes Is Bleeding Your Cloud Budget

Kubernetes is quietly draining your cloud budget, and most teams don’t even know it. 

In our latest blog, we break down why over 2,100 organizations are seeing less than 10% CPU utilization in their Kubernetes clusters, and what you can do to stop the bloat. 

Overprovisioning is the Norm 

Public cloud’s self-service provisioning and lack of individual accountability for infrastructure costs make it easier for DevOps to overprovision resources without restrictions. On the other hand… 

Rightsizing isn’t easy!

Without AI-powered predictive analytics and real-time demand awareness, any rightsizing attempts can end up in throttling, pod eviction, and downtime. 

emma’s Guide to Controlling K8s Waste

Here’s what your team should be doing, but probably isn’t: 

🔧 59% of containers have no CPU limits set. 👉 Set smarter limits with accurate, real-time resource predictions.

🕵️ Detect idle or underutilized nodes 🗑️ Automatically decommission them to avoid unnecessary spend.

💰 Run K8s clusters on spot instances 📉 Save 💸 59%–77% compared to on-demand pricing.

🌍 Identify & shift workloads 📦 Move to more cost-effective regions and AZs for major savings.

These strategies alone can boost CPU utilization and cut Kubernetes costs by up to 75%. 

But achieving this kind of efficiency isn’t possible without deep, continuous visibility into cost and usage, along with automated controls on resource provisioning across all your cloud environments. That’s exactly where emma comes in. 

If you're scaling Kubernetes and watching your cloud bills climb, our latest blog is a must-read.

👉 Read here: Kubernetes is Bleeding Your Cloud Budget. Here’s What You Can Do