Prompt
I'm unhappy with AKS reliability issues
Latest observation
I’m sorry — AKS reliability issues can be really frustrating.
If you want, I can help you triage the problem quickly or help you build a more reliable AKS setup. Common reliability pain points include:
- Node pool instability: nodes getting drained, rebooted, or failing health checks
- Pod scheduling issues: insufficient CPU/memory, taints/tolerations, affinity problems
- Cluster autoscaler behavior: scaling too slowly or not at all
- Networking/DNS issues: intermittent service discovery, timeouts, CNI problems
- Control plane/API availability: kubectl timeouts, upgrade-related disruptions
- Workload issues: liveness/readiness probe misconfigurations causing restarts
- Storage issues: attach/mount delays, PVC failures
A good first step is to identify what kind of reliability failure you’re seeing:
- Cluster-level: AKS control plane, node pool, upgrades
- Workload-level: pods restarting, crash loops, scheduling failures
- Traffic-level: intermittent request failures, timeouts, DNS/networking
- Storage-level: mount errors, volume detach/attach problems
If you want, paste any of the following and I’ll help interpret it:
kubectl get pods -A -o widekubectl describe pod <pod>kubectl get events -A --sort-by=.lastTimestamp- the AKS node/pod logs or Azure activity log entries
- what symptoms you’re seeing and when they started
If your goal is prevention rather than debugging, I can also give you a practical AKS hardening checklist for improving uptime.
Observation history
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