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How Do You Identify Hardware Bottlenecks in DevOps Environments?

In DevOps workflows, we often focus on software efficiency, CI/CD pipelines, and cloud resource optimization—but how often do we consider the hardware bottlenecks that might be silently limiting performance?

Whether you're running local build agents, managing self-hosted servers, or simply configuring dev machines for optimal throughput, hardware mismatches (like an underpowered CPU paired with a high-end GPU) can cause major slowdowns.

I recently explored this topic while benchmarking a Jenkins node and discovered how valuable it is to quantify hardware limitations. Tools like a bottle neck calculator helped me assess where performance was being throttled, especially under heavy multi-threaded workloads.
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