Detect compute node resource exhaustion before instance provisioning failures occur by monitoring hypervisor resource metrics alongside scheduler errors.
Trace instance spawn failures through the full dependency chain from Nova to Glance, Cinder, and Neutron using centralized logging and distributed tracing.
Detect Keystone authentication issues or credential problems by monitoring 401/403 errors and token validation failures across OpenStack services.
Monitor the operational state of critical OpenStack service components (API servers, agents, schedulers) to detect cascading failures before user impact.
Use structured ping tests and port status checks to isolate network failures between VMs, virtual routers, physical switches, and external networks.
Correlate RabbitMQ queue depth and partition status with API latency and instance operation slowdowns to detect message bus bottlenecks.
Alert when tenant resource usage approaches quota limits before users hit hard failures during instance creation.
Identify uneven VM distribution across compute nodes leading to performance degradation on overloaded hypervisors while others remain underutilized.
Measure VM provisioning time from request to active state to identify scheduler bottlenecks, slow image pulls, or placement inefficiencies.
Detect storage performance issues by correlating instance disk metrics with hypervisor disk availability and Cinder response times.
