Azure DevOps Academy · Enterprise Knowledge Graph

Observability and Operations Knowledge Graph

Connect metrics, logs, traces, events, service objectives, alerting, incidents, automation and continuous improvement.

Objective: Turn telemetry into an operational decision system linked to customer impact and engineering action.

Practical guidance

Foundations and prerequisites

01

Metrics, logs, traces and event fundamentals

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02

Service ownership, SLIs, SLOs and error budgets

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03

Incident, problem and change-management practices

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Practical guidance

Technology relationships and dependencies

01

Collection agents and APIs feed telemetry pipelines

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02

Correlation IDs connect distributed services and user journeys

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03

Alerts, dashboards, runbooks and automation support response

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Practical guidance

Architecture, delivery and operations

01

Design actionable alerts around symptoms and service objectives

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02

Control retention, access, sampling and ingestion cost

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03

Use post-incident learning to improve architecture and detection

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Practical guidance

Validation and learning evidence

01

Inject controlled failures and confirm detection coverage

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02

Measure alert quality, response time and unresolved telemetry gaps

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03

Link every critical alert to an owner, runbook and escalation route

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