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Observability & Metrics · LearnSpace
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courseraIT и технологии

Observability & Metrics

Курс от Microsoft
Продвинутый≈ 4.7 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Bridge the gap between code commits and business outcomes by building a sophisticated observability and traceability layer. This course empowers you to transform raw telemetry into actionable insights using Azure Monitor, Grafana, and OpenTelemetry. You will begin by constructing comprehensive pipeline-health dashboards that track critical DORA metrics—such as deployment frequency and MTTR—providing a clear view of your delivery velocity and stability. The curriculum moves into the critical area of reliability, where you will use Python-based analysis to identify flaky-test trends and implement systematic de-flaking strategies to drive failure rates below 1%. You will also master end-to-end distributed tracing, learning to correlate live production requests directly back to the specific pipeline run and commit SHA that triggered them. By the end of this course, you will have engineered a full-stack observability solution capable of detecting performance regressions in real-time and automating rollbacks when latency spikes. This is an essential program for SREs and DevOps leaders who aim to achieve 95% traceability and foster a data-driven engineering culture at scale.

Навыки, которые вы освоите

GrafanaRoot Cause AnalysisCI/CDPerformance MetricDashboard CreationPerformance TestingProblem ManagementTest ToolsContinuous DeliveryDashboardOperational ExcellenceContinuous DeploymentTest CaseApplication Performance ManagementAzure DevOps PipelinesDevSecOpsDevOpsEvent MonitoringSite Reliability EngineeringSolution Architecture

Программа курса

5 модулей · 26 учебных материалов

01Code to Prod: Observability Stack and Dashboards5 материалов
The Black Box of CI/CDВидеоAzure Monitor and Log AnalyticsЧтениеStep-by-Step: Building Grafana DashboardsЧтениеHands-on Activity: Deploy an Observability DashboardЧтение

Учитесь у экспертов

Microsoft

Преподаватель курса

Observability & Metrics
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Обучение на Coursera

≈ 4.7 ч

5 модулей

Язык: Английский

Часть программы вашего университета
Knowledge Check: Observability Stack and DashboardsЗадание
02Code to Prod: Flaky Test De-flaking6 материалов
The Culture of Ignored FailuresDIALOGUEThe Anatomy of a Flaky TestЧтениеStep-by-Step: Automating De-flaking with PythonЧтениеHands-on Activity: Analyze and Quarantine Flaky TestsЗаданиеKnowledge Check: Flaky Test De-flakingЗаданиеGraded Quiz: Trace Code to Prod Задание
03DevSecOps Gates: Distributed Tracing Setup5 материалов
The Value of 95% TraceabilityВидеоApplication Insights and OpenTelemetryЧтениеStep-by-Step: Injecting Trace IDs at Build TimeЧтениеHands-on Activity: Configure Trace CorrelationЧтениеKnowledge Check: Distributed Tracing SetupЗадание
04DevSecOps Gates: Performance Regression Detection6 материалов
Catching Regressions Before Customers DoЧтениеTelemetry Analysis and DevSecOps GatesЧтениеStep-by-Step: Triggering Automated RollbacksЧтениеHands-on Activity: Latency Analysis and Rollback PlanЗаданиеKnowledge Check: Performance Regression DetectionЗаданиеGraded Quiz: Enforce DevSecOps GatesЗадание
05Project Module: Full-Stack Observability and Tracing Solution4 материалов
Why This Project MattersЧтениеProject RequirementsЧтениеProject InstructionsЧтениеHands-on Activity: Full-Stack Observability and Tracing SolutionЗадание