Observability & reliability

Observability and reliability engineering

Metrics, logs, traces and alerts that show what production is really doing, and alerting that teams trust enough to act on.

What I do

  • Metrics with Prometheus, VictoriaMetrics and InfluxDB, dashboards in Grafana
  • Distributed tracing and telemetry with OpenTelemetry
  • Service and infrastructure monitoring with Icinga2
  • Log search and analytics with OpenSearch
  • Alert design, routing and alert-fatigue remediation
  • Custom exporters and check plugins for network and security devices

How I approach it

Monitoring should answer two questions quickly: is the service healthy for users, and if not, where is it failing. I build dashboards and alerts around those questions, not around every metric that exists.

An alert that nobody acts on is noise. Every page gets an owner, a runbook and a review, and noisy alerts are fixed or removed.

Track record

  • Strengthened observability with Icinga2, Prometheus, Grafana, OpenSearch, HashiCorp Vault and InfluxDB for SLO-style monitoring.

    Macquarie Technology Group
  • Introduced Grafana and Prometheus observability, lifting uptime and cutting time-to-resolution.

    Next Generation Networks
  • Engineer observability with Prometheus, Grafana and OpenTelemetry for AI and high-growth tech clients.

    Mercor
  • Published grafana-test-data, a one-command Grafana demo stack with realistic historical data.

    Open source

Related projects

grafana-test-data

A one-command Grafana demo stack, already full of realistic data.

PythonAuthor

FAQ

Questions people ask

Which monitoring and observability tools does Jad Seifeddine work with?

Jad works with Prometheus, Grafana, OpenTelemetry, Icinga2, OpenSearch, InfluxDB and VictoriaMetrics, and writes custom exporters and check plugins, including a merged contribution to the Prometheus community FortiGate exporter.

Have a hard infrastructure problem?

Open to select consulting, contract and advisory work. Tell me what you are building and where it hurts.