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07 - Monitoring & API Integration (Read-First, Safe-by-Default)

Home: README

Who this is for

  • Learners integrating external monitoring or telemetry APIs into Python data workflows.
  • Teams needing reliable API-based reporting and downstream dashboards.

What you will build

  • Read-only ingestion jobs for external monitoring APIs.
  • Shared database cache tables for dashboard-friendly access.
  • A documented field mapping worksheet and data contract.

Prerequisites

  • SQL ETL baseline from 06_SQL.md.
  • API credentials (key or token) for your monitoring platform.
  • Database write access to cache schema.

Step-by-step lab pack

Step 1 - Read-only policy baseline

Before any code:

  • confirm API scopes,
  • enforce read-only endpoints,
  • define timeout and retry standards.

No write operations are allowed until validation checklist passes.

Step 2 - Monitoring API ingestion starter

Use any monitoring or telemetry API you have access to. Good free options for learning:

Initial pulls:

  • active alerts or events,
  • resource/node health status,
  • key metrics or utilization data.

Step 3 - Secondary source ingestion

Add a second data source to practice multi-source integration:

  • a different API endpoint from the same platform,
  • or a complementary monitoring service.

Initial pulls:

  • monitored instances or resources,
  • health and performance metrics,
  • alert/event summary.

Step 4 - Shared database cache contract

Create cache tables with source metadata:

  • cache_monitoring_alerts
  • cache_monitoring_nodes
  • cache_perf_instances
  • cache_perf_metrics

Required columns:

  • source_system
  • collected_at_utc
  • entity_key
  • payload_hash

Step 5 - Field mapping worksheet

Maintain this worksheet in your project docs:

Entity Source system Collection cadence Destination table Owner
Active alerts Monitoring API Every 15 min cache_monitoring_alerts Monitoring team
Node status Monitoring API Every 15 min cache_monitoring_nodes Monitoring team
Instance health Performance API Every 30 min cache_perf_instances DBA team
Performance metrics Performance API Hourly cache_perf_metrics DBA team

Step 6 - Daily ops report build

Outputs:

  • output/monitoring_daily.xlsx
  • output/monitoring_daily.html
  • logs/monitoring_run_YYYYMMDD.log

Include:

  • top critical alerts,
  • down resource summary,
  • instance health snapshot,
  • stale data warnings.

Expected output

  • Stable read-only ingestion from monitoring APIs.
  • Reliable cache tables for dashboards.
  • Traceable field mappings and data ownership.

Break/fix drills

  1. Force token/auth failure and verify sanitized error logging.
  2. Simulate API timeout and validate retry/backoff.
  3. Remove required field from payload transform and verify reject behavior.

Troubleshooting

  • auth errors:
    • validate credential scope,
    • test endpoint manually,
    • confirm clock/time sync for token validity.
  • schema drift:
    • compare payload keys against mapping worksheet,
    • route unknown fields to audit logs.
  • stale dashboards:
    • verify cache job schedule and collected_at_utc freshness checks.

Mastery check

Advance when you can:

  • describe your API data contracts,
  • prove read-only ingestion reliability,
  • explain fallback when source APIs are unavailable.

Learning-style options (Play/Build/Dissect/Teach-back)

  • Play: vary polling intervals and compare freshness/cost tradeoffs.
  • Build: implement both ingestion jobs and cache writes.
  • Dissect: annotate one end-to-end payload transform.
  • Teach-back: present source-to-cache architecture to a peer.

Primary Sources

Optional Resources

Sample database schemas

Next

Next: concepts/http-explained.md →