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CPU Contention and Noisy Neighbors
- CPU contention and noisy neighbors can severely impact system performance, as experienced in a company where a RabbitMQ queue backlog led to cluster issues due to high CPU steal time.
- CPU contention arises when multiple virtual CPUs in a VM compete for a finite set of physical cores, causing wait times and performance degradation.
- Simulating CPU contention on AWS instances can help understand how workload affects steal time and performance metrics.
- Monitoring steal time (%st) and scheduler wait time can provide insights into CPU contention at the VM level, indicating oversubscription or resource shortages.
- Hypervisor and cloud telemetry metrics like CPUSurplusCreditBalance and CPUCreditUsage can also indicate CPU contention on burstable instances.
- Detecting CPU contention involves correlating VM-level metrics, cloud telemetry, and workload symptoms to identify and address performance bottlenecks.
- Alert thresholds for CPU contention include %steal exceeding 10% for over 30 seconds and deviations in latency metrics while CPU utilization remains low.
- Mitigation strategies for CPU contention include selecting appropriate instance families, optimizing instance placement, and automating responses to high steal time incidents.
- In Kubernetes environments, managing CPU contention involves pod placement strategies, resource allocations, and automation for maintaining performance levels.
- Over-provisioning vCPUs or considering bare-metal options can provide additional headroom to mitigate CPU contention and ensure predictable performance.
- Efficiently managing CPU contention through monitoring, mitigation, and automation can lead to improved system reliability and performance in cloud computing environments.
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