Tag: Observability

From PromQL's four data types to instant and range vector selectors, label matchers, time durations, and the offset and @ modifiers

Going beyond static_configs to auto-discover scrape targets across file, DNS, Consul, Kubernetes, and cloud environments

Anatomy of prometheus.yml -- scrape_configs, relabeling, and zero-downtime config reloads

Prometheus binary and Docker installation, first run with Web UI and expression browser walkthrough

The relationship between Jobs and Instances as Prometheus scraping units, auto-generated labels and metrics, and Part 02 recap

Characteristics and selection criteria for the four metric types — Counter, Gauge, Histogram, and Summary

The structure of Prometheus time series, metric naming, labels, cardinality, and how samples are stored

Prometheus components, Pull vs Push model, Grafana's role, and the full data flow diagram

The cost of outages, the 3 pillars of observability, and an overview of the Prometheus + Grafana ecosystem