Use case playbook — DevOps

Infrastructure, logs, and Kubernetes — in 3 clear tracks

No scattered setup. This page gives you a short route to see server health, cluster signals, and critical logs—then wire alerts that actually help on-call.

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Outcome
Visibility for servers, K8s, and logs
Time to first value
~ 60–90 minutes
Best for
DevOps / SRE / Infra

Quick start checklist

These actions reduce noise and improve incident response immediately.

Baseline 2 core nodes

Install Agent on two critical nodes and confirm CPU/RAM/Disk/Network + process health.

See cluster risk early

Track pods/nodes status, restarts, and resource pressure before customers notice.

Make logs actionable

Build watchlists for sensitive patterns (timeouts, OOM, auth fail) and alert on repetition.

DevOps playbook

Expand a track and execute it. Docs-only links (no videos).

Track 1 — Establish baselines•30 minutes•DevOps / Infra

Agent & infrastructure health baseline

Bring servers, services, and core metrics into one view, then create baseline alerts.

CPU / RAMDisk / NetworkProcess healthEnvironments
Steps
5 steps
  1. 1

    Install the Agent on two key servers and set the API key.

  2. 2

    Define service name and environment (prod/stage) to keep dashboards clean.

  3. 3

    Enable CPU, memory, disk, network, and process/service metrics.

  4. 4

    Create baseline alerts for CPU and disk, and route to Slack/Telegram/Webhook.

  5. 5

    Share the infrastructure dashboard with the team and confirm everyone sees the same truth.

What you get

You know which node or service is under pressure before incidents escalate.

Alerts to wire
  • CPU/Disk outside baseline
  • Service crash/restart
Agent documentationAlerting setup
Track 2 — Cluster visibility•45 minutes•SRE / DevOps

Kubernetes & container signals

Track nodes, pods, and deployments, then alert on restarts and resource pressure.

Node metricsPod statusRestartsResource pressure
Steps
5 steps
  1. 1

    Install Watchlog on your cluster (Helm/Operator based on your setup).

  2. 2

    Enable collection for node, pod, and deployment metrics.

  3. 3

    Label key namespaces/services so dashboards stay focused.

  4. 4

    Alert on CrashLoopBackOff, long Pending pods, and resource pressure.

  5. 5

    Create a lightweight “On-call” dashboard for fast triage.

What you get

You catch CrashLoop, Pending, and capacity issues early—before users do.

Alerts to wire
  • CrashLoopBackOff or long Pending
  • CPU/Memory pressure approaching limits
Kubernetes documentationK8s alert patterns
Track 3 — Fast incident response•30 minutes•DevOps + Backend

Log watchlists + CI/CD events

Centralize critical logs and deployment events, then alert on sensitive patterns and failures.

Log watchlistsSensitive patternsDeploy eventsReporting-ready
Steps
5 steps
  1. 1

    Enable log shipping for critical services (app + system logs).

  2. 2

    Create watchlists for sensitive patterns (timeouts, OOM, DB connection, auth failures).

  3. 3

    Connect CI/CD events (GitHub/GitLab) so deployments appear as events on timelines.

  4. 4

    Alert on deploy failures and repeated error patterns.

  5. 5

    Review top patterns weekly and tune thresholds based on baselines.

What you get

You detect deploy failures and error-pattern spikes immediately, with less noise.

Alerts to wire
  • Repeated sensitive log pattern over threshold
  • Pipeline/deploy failure event
Logs & watchlists docsCI/CD integrations
Want stronger coverage?

See problems before they become incidents

If you have a critical cluster, special topology, or strict SLOs, we can help you wire the right signals and reduce on-call noise.

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