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Monitoring & Observability

Operate OpenStack with signals your teams can act on

We connect infrastructure metrics, OpenStack APIs, Ceph health and workload symptoms into service-oriented dashboards and actionable alerts. Tooling such as Node Exporter is only one building block of a complete operating model.

OpenStack fleet
Live
CPU Load72%
Memory Pressure61%
Disk I/O84%
Benefits

A clearer operational view of critical cloud platforms

Early detection

Detect bottlenecks before they affect critical services or customer workloads.

Faster response

Reduce incident diagnosis time and improve operational coordination across teams.

Better performance

Optimize workload placement, storage, and resource planning without unnecessary monitoring overhead.

Operational approach

Collect

System metrics on every OpenStack host, OpenStack API metrics and Ceph health, labelled by role: controller, compute, storage.

Alert

Symptoms first (API availability, instance spawn failures, degraded storage), then causes: CPU saturation, memory pressure, storage latency, disk full.

Correlate

Grafana dashboards that put host metrics next to OpenStack service state, so an incident is read in one view instead of five tools.

Own

Every alert has a severity, an owning team and an escalation path; runbooks tell the on-call engineer what to do first.

Noise reduction on OpenStack hosts

On OpenStack hosts, the default host metrics collection produces a lot of noise: one virtual interface per VM port, container bridges and internal switches that do not reflect real workload traffic. We filter them at the source so that dashboards stay readable and saturation alerts fire on production interfaces only.

  • Removes irrelevant loopback and virtual interfaces from network dashboards
  • Improves alert quality and reduces false-positive saturation alarms
  • Keeps the host view focused on actual production interfaces
Technical guide: Node Exporter interface filtering →

Business and operational metrics, not just system ones

Backup success, certificate expiry, batch job results or custom health checks are not exposed by default. We publish them into the same Prometheus and Grafana chain, so that an overdue backup raises an alert exactly like a failing API.

  • Success, failure and duration of cronjobs and backup scripts
  • Certificate expiry dates, licence and quota checks
  • Results of custom health-check or maintenance scripts
Technical guide: custom metrics with the textfile collector →

From metrics to an operating capability

Your team receives a monitoring coverage matrix, provisioned dashboards, versioned alert rules, severity and ownership mapping, escalation paths, runbooks and a tuning workshop after observing real production behavior.

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