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Sift analysis - Resource contention
The resource contention analysis reviews resource metrics to determine if any pod in the scope of the investigation is running into resource constraints.
Inputs
- Required:
cluster
namespace
How it works
Step 1: Find pods with high CPU throttling
Query cAdvisor metrics from Prometheus for any pods are throttled for more than 25% of cfs periods.
sum by (cluster, namespace, pod, container) (
rate(container_cpu_cfs_throttled_periods_total{cluster="<cluster>", namespace="<namespace>"}[5m])
) /
sum by (cluster, namespace, pod, container) (
rate(container_cpu_cfs_periods_total{cluster="<cluster>", namespace="<namespace>"}[5m])
) > 0.25
Step 2: Check for profiling data
Look in Pyroscope to see if there are profiles that can be linked for any pods with high CPU throttling.
What resources does this analysis use?
- Prometheus datasource
How does this analysis determine when a result is interesting?
- If any pods in the scope have a high level of CPU throttling.
What configurations options are available for this analysis?
- This check has no configurable parameters except for the Prometheus datasource.