Bash Defensive Patterns
Master defensive Bash programming techniques for production-grade scripts.
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Browse the full catalog → Browse ready-made kits → Build your own set →Set up Prometheus for comprehensive metric collection, storage, and monitoring of…
Set up Prometheus end to end for metric collection, scraping, recording rules, and alerting across infrastructure and applications. It delivers production-ready scrape configs, service discovery for Kubernetes, pre-computed recording rules, and severity-tuned alert rules backed by the USE method and cardinality control. The goal is meaningful alerts that engineers act on, not dashboards that drown teams in noise.
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Monitoring fails in two ways: it misses the incident, or it pages you for nothing. This Prometheus setup controls cardinality at the door, pre-computes expensive queries, and writes alerts humans can live with.
prometheus-configuration · core
core active · 6 lines
Standing up Prometheus monitoring from scratch
Kubernetes pod and service discovery scraping
Recording rules for expensive queries
USE-method resource alerting (CPU, memory, disk)
Severity-tiered alert routing to PagerDuty and Slack
Validating config and rules before deploy
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Faster diagnosis with USE-based, resource-specific alerts
license: perpetualLower memory and query cost through cardinality control
license: perpetualReduced on-call fatigue via actionable, tuned severities
license: perpetualConfig drift prevented with Git-managed single source of truth
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Complete prometheus.yml with global, alerting, and scrape sections
6 parts · one working system · ships instantly by email
DevOps and SRE teams building observability infrastructure that surfaces real problems without alert overload.
then this was forged for you.Universal by design: these run in any AI. Delivered in the open Agent Skills + MCP format (native in Claude); ChatGPT, Gemini, Cursor and Copilot adapt the same files their own way.
Yes, Kubernetes discovery is one option among several: the configs cover static targets and file-based discovery too. The scrape, recording-rule, and alerting patterns apply to any infrastructure Prometheus can reach.
Alert rules follow the USE method (utilization, saturation, errors) per resource, carry severity tiers routed differently to PagerDuty and Slack, and include runbook annotations so each page is actionable. Recording rules pre-compute expensive queries so dashboards stay fast without firing on raw noise.
No. The scope is Prometheus itself: prometheus.yml, scrape configs, recording rules, alert rules, cardinality control, and promtool validation. Visualization and remote long-term storage are separate concerns you add on top.
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