Balancing Kubernetes Costs and Performance with Observability

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Kubernetes helps teams move quickly, but that speed often creates complexity, especially when it’s unclear how workloads affect cost and performance. Without clear visibility, teams often overprovision, burn budget, and still miss performance targets. Knowing what’s running, why it matters, and what it costs is essential.

Lean into observability to connect cost with performance. This guide walks through three key steps: gaining visibility, optimizing high-impact workloads, and staying ahead of change. With this approach, teams can reduce waste and scale with confidence.

Here’s how you can take control of Kubernetes workloads and focus your efforts where they matter most:
• Identify hidden costs across Kubernetes workloads
• Improve visibility with platform engineering practices
• Spot and eliminate overprovisioned or idle services
• Forecast cloud spend using real usage data
• Optimize with signals like efficiency and resource risk



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