Prometheus and Grafana Observability Implementation
Metrics collection, alerting, and production system observability.
About This Assessment
SRE and DevOps engineers with observability expertise earn $140K-$180K+ because blind spots in monitoring lead to prolonged outages costing $10K+ per minute. Companies need professionals who can instrument applications, write effective alerts, and build dashboards that detect problems before customers notice. Performance-based assessment reveals whether candidates can actually implement monitoring from scratch, not just talk about SLOs and golden signals.
What Candidates Will Do
Instrument a microservices application: add Prometheus metrics (counters, gauges, histograms) to expose latency, error rates, and throughput
Build comprehensive Grafana dashboards: visualize RED metrics (rate, errors, duration), system resources, and business KPIs with proper time ranges and aggregations
Configure actionable alerting rules: define alert thresholds based on SLOs, implement multi-window alerting to reduce false positives, route alerts by severity
Set up service discovery and scraping: configure Prometheus to auto-discover targets, set appropriate scrape intervals, and handle high-cardinality metrics
Automated Grading
Grading verifies proper instrumentation (metrics exposed in correct format, appropriate metric types used), functional dashboards (RED metrics visible, queries are efficient, thresholds are reasonable), working alerting (alerts fire when thresholds crossed, notifications delivered, no alert fatigue from false positives), and correct Prometheus configuration (scrape targets discovered, retention policy set, memory usage reasonable).
Environment
Ubuntu 22.04 VM with Prometheus, Grafana, and Alertmanager pre-installed. Include sample microservices application (Python/Go/Node.js) without instrumentation. Install Docker for running exporters (node_exporter, blackbox_exporter). Pre-configure service mesh demo (optional) with multiple microservices.
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$99.00