ObservabilityIntermediate12 submodules

Azure Monitor and Application Observability

Collect, correlate, query, visualize, alert, and test Azure platform and application telemetry using Azure Monitor, Log Analytics, Application Insights, and KQL.

How this module works

From concept to production evidence

Instrument around user journeys and service objectives, separate metrics, logs, and traces, centralize queries, alert on actionable symptoms, route through owned action groups, and validate externally with availability tests.

Learning outcomes

Explain metrics, logs, traces, and tests
Configure Azure Monitor and Log Analytics
Instrument Application Insights
Write KQL queries
Create alerts, action groups, workbooks, dashboards, and availability tests

Flow diagram

Azure Monitor and Application Observability end-to-end flow

Use this sequence as the operating backbone for every submodule note and hands-on exercise.

01
Emit telemetryAzure Monitor and Application Observability stage 1: emit telemetry with an auditable result before the next stage begins.
02
Collect and correlateAzure Monitor and Application Observability stage 2: collect and correlate with an auditable result before the next stage begins.
03
Store workspace dataAzure Monitor and Application Observability stage 3: store workspace data with an auditable result before the next stage begins.
04
Query with KQLAzure Monitor and Application Observability stage 4: query with kql with an auditable result before the next stage begins.
05
Visualize healthAzure Monitor and Application Observability stage 5: visualize health with an auditable result before the next stage begins.
06
Alert and respondAzure Monitor and Application Observability stage 6: alert and respond with an auditable result before the next stage begins.

Integrated hands-on lab

Observe an Azure application journey

Enable platform diagnostics
Instrument application traces
Write KQL for a critical request
Build workbook and alert
Create availability test and action group

Complete module contents

12 full submodule notes

Read in order

Azure Monitor

Azure Monitor turns service behavior into evidence that supports detection, diagnosis, capacity decisions, and measurable reliability within Azure Monitor and Application Observability. It is not an isolated definition: its value appears when it supports instrument around user journeys and service objectives, separate metrics, logs, and traces, centralize queries, alert on actionable symptoms, route through owned action groups, and validate externally with availability tests.

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Log Analytics

Log Analytics turns service behavior into evidence that supports detection, diagnosis, capacity decisions, and measurable reliability within Azure Monitor and Application Observability. It is not an isolated definition: its value appears when it supports instrument around user journeys and service objectives, separate metrics, logs, and traces, centralize queries, alert on actionable symptoms, route through owned action groups, and validate externally with availability tests.

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Application Insights

Application Insights provides a concrete platform capability that must be configured, secured, validated, observed, and owned throughout its lifecycle within Azure Monitor and Application Observability. It is not an isolated definition: its value appears when it supports instrument around user journeys and service objectives, separate metrics, logs, and traces, centralize queries, alert on actionable symptoms, route through owned action groups, and validate externally with availability tests.

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Metrics

Metrics turns service behavior into evidence that supports detection, diagnosis, capacity decisions, and measurable reliability within Azure Monitor and Application Observability. It is not an isolated definition: its value appears when it supports instrument around user journeys and service objectives, separate metrics, logs, and traces, centralize queries, alert on actionable symptoms, route through owned action groups, and validate externally with availability tests.

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Logs

Logs turns service behavior into evidence that supports detection, diagnosis, capacity decisions, and measurable reliability within Azure Monitor and Application Observability. It is not an isolated definition: its value appears when it supports instrument around user journeys and service objectives, separate metrics, logs, and traces, centralize queries, alert on actionable symptoms, route through owned action groups, and validate externally with availability tests.

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Alerts

Alerts turns service behavior into evidence that supports detection, diagnosis, capacity decisions, and measurable reliability within Azure Monitor and Application Observability. It is not an isolated definition: its value appears when it supports instrument around user journeys and service objectives, separate metrics, logs, and traces, centralize queries, alert on actionable symptoms, route through owned action groups, and validate externally with availability tests.

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Action Groups

Action Groups provides a concrete platform capability that must be configured, secured, validated, observed, and owned throughout its lifecycle within Azure Monitor and Application Observability. It is not an isolated definition: its value appears when it supports instrument around user journeys and service objectives, separate metrics, logs, and traces, centralize queries, alert on actionable symptoms, route through owned action groups, and validate externally with availability tests.

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Workbooks

Workbooks turns service behavior into evidence that supports detection, diagnosis, capacity decisions, and measurable reliability within Azure Monitor and Application Observability. It is not an isolated definition: its value appears when it supports instrument around user journeys and service objectives, separate metrics, logs, and traces, centralize queries, alert on actionable symptoms, route through owned action groups, and validate externally with availability tests.

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Dashboards

Dashboards turns service behavior into evidence that supports detection, diagnosis, capacity decisions, and measurable reliability within Azure Monitor and Application Observability. It is not an isolated definition: its value appears when it supports instrument around user journeys and service objectives, separate metrics, logs, and traces, centralize queries, alert on actionable symptoms, route through owned action groups, and validate externally with availability tests.

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KQL

KQL turns service behavior into evidence that supports detection, diagnosis, capacity decisions, and measurable reliability within Azure Monitor and Application Observability. It is not an isolated definition: its value appears when it supports instrument around user journeys and service objectives, separate metrics, logs, and traces, centralize queries, alert on actionable symptoms, route through owned action groups, and validate externally with availability tests.

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Distributed tracing

Distributed tracing provides a concrete platform capability that must be configured, secured, validated, observed, and owned throughout its lifecycle within Azure Monitor and Application Observability. It is not an isolated definition: its value appears when it supports instrument around user journeys and service objectives, separate metrics, logs, and traces, centralize queries, alert on actionable symptoms, route through owned action groups, and validate externally with availability tests.

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Availability tests

Availability tests turns service behavior into evidence that supports detection, diagnosis, capacity decisions, and measurable reliability within Azure Monitor and Application Observability. It is not an isolated definition: its value appears when it supports instrument around user journeys and service objectives, separate metrics, logs, and traces, centralize queries, alert on actionable symptoms, route through owned action groups, and validate externally with availability tests.

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