Metrics & dashboards
Prometheus and Grafana, with dashboards built around services and user journeys — not just CPU graphs.
Observability and reliability: know about problems before your users do
Too many teams learn about outages from their customers. I set up metrics, logs and alerting with Prometheus and Grafana that show what users actually experience — and prepare the incident process for the day something breaks anyway.
When to call me
Sounds familiar?
These are the situations where teams usually bring me in.
- You find out about outages from customers or social media.
- Alerts fire all night, so people have started ignoring them.
- There are dashboards, but nobody can quickly answer “is the service healthy right now?”
- Logs are scattered across servers and hard to search during an incident.
- A traffic spike or a DDoS attack would take the service down.
What I deliver
What you get
Centralized logs
Logs from every service in one place, searchable when it matters.
SLOs & alerting
Service-level objectives and alerts on the symptoms users feel: fewer alerts, each one meaningful.
Incident response
On-call rules, runbooks and blameless post-mortems that turn incidents into improvements.
DDoS & load readiness
Rate limits, caching and capacity planning, so a traffic spike doesn’t become an outage.
How it works
From first call to handover
- 01
Baseline
Review the current monitoring, alerting and recent incidents.
- 02
Instrument
Add the metrics and logs that answer real questions during an incident.
- 03
Tune
Define SLOs, cut alert noise and write runbooks.
- 04
Rehearse
Walk through failure scenarios, so the first real incident isn’t the first rehearsal.
Tools
- Prometheus
- Grafana
- Kubernetes
- Linux
- Networking
- Terraform
- Helm
FAQ
Common questions
- Do we need a paid monitoring SaaS?
- Not necessarily. Prometheus and Grafana cover most needs and cost only the infrastructure they run on. A SaaS makes sense when you’d rather pay than operate — we can weigh it together.
- How do you reduce alert fatigue?
- By alerting on symptoms that affect users — errors, latency, availability — instead of every internal metric, and by giving every alert a clear owner and a runbook.
- Can you help during an active incident?
- For existing clients, that can be part of the agreement. For everyone else, the best time to start is before the next incident: a short reliability review finds the most likely failure points.
Related services
Kubernetes
Clusters on Google Cloud (GKE) or bare metal — designed, migrated, upgraded and hardened. Secure by default, boring to operate.
CI/CD & Releases
Fast, reliable pipelines in GitLab CI or GitHub Actions — from commit to production with automated checks and safe rollbacks.
Audits & Cost Optimization
An independent review of your infrastructure: what to fix first, what to automate and where you are overpaying — in the cloud or on hardware.
Contact
Let’s talk about your infrastructure
Tell me what you’re building and where it hurts — I’ll get back to you with next steps.