· MONITORING & OBSERVABILITY

See issues before customers do.

Good monitoring isn’t “more dashboards” - it’s fast visibility, clean alerting, and the ability to answer: what’s broken, why, and what changed. We implement monitoring and observability across infrastructure and applications, with signal-first alerts and documented response steps so issues are fixed quickly and consistently.

What we automate.

Visibility across compute, storage, networks, apps, and user experience - with actionable alerting.

Infrastructure monitoring

VMs, hypervisors and cluster health (CPU/RAM/disk)

Network visibility (latency, packet loss, saturation)

Storage monitoring (IOPS, throughput, latency, capacity)

Kubernetes observability

Cluster health, nodes, workloads and namespaces

Pod restarts, OOM events, deployment rollouts

Ingress/service health and request-level signals

Application performance monitoring (APM)

Latency, error rate and throughput tracking

Tracing for slow requests and dependency bottlenecks

Alerting aligned to customer impact (SLO-style)

Logs, events & change visibility

Centralised logging for fast incident triage

Correlation between deploys, config changes and alerts

Audit trails and “what changed?” reporting

Uptime & external checks

Endpoint and synthetic monitoring (outside-in)

SSL expiry, DNS checks and certificate visibility

Escalation paths for real outages (not noise)

Alerting, on-call & playbooks

Signal-first alerts (reduce alert fatigue)

Documented response steps so issues are fixed quickly and consistently

Escalations and incident reporting where required

How we roll it out.

A pragmatic approach: high-signal alerts first, then dashboards and refinement.

1

Audit

Define standards for templates, naming, networks, storage and environments.

2

Instrument

Metrics, logs and traces across infra, apps and Kubernetes where needed.

3

Alert

Define high-signal alerts aligned to impact (latency, errors, saturation).

4

Operate

Dashboards, runbooks, escalation paths, and ongoing tuning over time.

Monitoring FAQs.

Common questions before teams standardise observability.

Do you support Grafana dashboards?

Yes - Grafana is common, but we focus on alert quality first, then dashboards that match operational needs.

Can you monitor Kubernetes and on-prem together?

Yes. We design monitoring so you get one coherent view across hybrid infrastructure.

Will this reduce alert fatigue?

Yes - we tune alerts around customer impact and known failure modes, not “everything that moves.”

Do you implement log aggregation?

Yes - centralised logging is critical for incident triage and correlating events with changes.

Do you offer ongoing monitoring support?

Yes - we can help operate and continuously improve monitoring as systems evolve.

Want monitoring that’s calm, clear and actionable?

We’ll review your monitoring setup and give you a practical plan to improve visibility and reduce noise.