and the hidden impact of unready pods
HPA is not a “load scaler” — it is a resource utilization stabilizer, If you're running anything latency-sensitive, CPU-based HPA alone is a trap.
The core issue isn’t misconfiguration — it’s an architectural limitation of HPA itself.
HPA is fundamentally:
1.Reactive (not predictive)
2.Metric-dependent (and often the wrong metric)
3.Averaging-based (which hides localized hotspots)
HPA reacts after the pain starts It scales only after metrics cross thresholds + scrape interval + decision loop + pod startup time. It works on production only when combined with external event driven tools. Though, Good article write up.
HPA is not a “load scaler” — it is a resource utilization stabilizer, If you're running anything latency-sensitive, CPU-based HPA alone is a trap.
The core issue isn’t misconfiguration — it’s an architectural limitation of HPA itself.
HPA is fundamentally:
1.Reactive (not predictive)
2.Metric-dependent (and often the wrong metric)
3.Averaging-based (which hides localized hotspots)
HPA reacts after the pain starts It scales only after metrics cross thresholds + scrape interval + decision loop + pod startup time. It works on production only when combined with external event driven tools. Though, Good article write up.