Prometheus
The CNCF metrics standard. If you run Kubernetes, you run Prometheus.
What is Prometheus, really?
Prometheus is the time-series database that the entire cloud-native world standardized on. It scrapes metrics from your services (over HTTP, /metrics endpoint), stores them locally, and lets you query with PromQL — the query language that powers Grafana dashboards everywhere.
Prometheus + Grafana + Alertmanager + Loki is the de-facto observability stack in 2026. Every Kubernetes cluster ships with the kube-prometheus-stack Helm chart. If you can write a useful PromQL query and a meaningful alert rule, you're already in the top 30% of DevOps engineers.
At Cloudadhar we teach Prometheus from first principles: the data model, PromQL deep-dive, recording rules vs alerting rules, federation for multi-cluster, and the right way to instrument YOUR services with custom metrics.
What makes it special
- Pull-based scraping — Prometheus discovers + polls targets, no agent push
- PromQL is the most powerful metrics query language in the industry
- Native Kubernetes service discovery — auto-finds pods to scrape
- Alertmanager handles deduplication, grouping, routing (to Slack, PagerDuty, etc.)
- Massive exporter ecosystem — node-exporter, blackbox, kafka, redis, mysql, etc.
When you should reach for it
- You run Kubernetes (Prometheus is the standard)
- You need to track latency, error rates, throughput (the 'RED' method)
- You want SLO-based alerting (alert on burn rate, not on every spike)
- You're tired of paying $$$ for Datadog / New Relic and want to self-host
- You're building custom metrics for your business logic (signups/min, etc.)
A real Prometheus story from production
“A team I supported was getting paged 40+ times a week — most of it noise. We rebuilt their alerting from CPU/memory thresholds to actual SLO-based burn-rate alerts (Google SRE Workbook style) using PromQL. Pages dropped to 4/week — and every page was now actionable. The on-call rotation became something engineers volunteered for instead of dreaded. PromQL didn't fix their app — it fixed their relationship with it.”
— Gangadhar, 12+ yrs in production cloud
How to actually learn Prometheus
- 1Install kube-prometheus-stack via Helm (1 hour, includes Grafana + Alertmanager)
- 2Learn the 4 metric types: counter, gauge, histogram, summary
- 3Write your first 10 PromQL queries (rate, sum by, histogram_quantile, irate)
- 4Build a Grafana dashboard from your queries
- 5Write SLO-based alerts using multi-window burn-rate (Google SRE pattern)
- 6Instrument your own app with the Prometheus client library
- 7Federation / Thanos / Mimir for long-term storage + multi-cluster
Want to learn Prometheus production-style?
Live batches, 1:1 mentorship, hands-on labs in a real cloud account. No slideware. No fluff. Just the playbooks I use as a DevSecOps Lead.
