Coursera
OpenTelemetry for Unified Observability

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Coursera

OpenTelemetry for Unified Observability

Starweaver
Trevoir Williams

位教师:Starweaver

深入了解一个主题并学习基础知识。
中级 等级

推荐体验

4 小时 完成
灵活的计划
自行安排学习进度
深入了解一个主题并学习基础知识。
中级 等级

推荐体验

4 小时 完成
灵活的计划
自行安排学习进度

您将学到什么

  • Explain the role of OpenTelemetry in modern observability practices.

  • Instrument a .NET application with OpenTelemetry SDK.

  • Export telemetry to backends like Jaeger, Prometheus, and Azure Monitor.

要了解的详细信息

可分享的证书

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最近已更新!

December 2025

作业

1 项作业

授课语言:英语(English)

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该课程共有3个模块

Learners will explore the fundamentals of observability by examining metrics, logs, and traces as the three essential pillars. They will also investigate the problems caused by fragmented monitoring tools and discover how OpenTelemetry addresses these challenges with a vendor-neutral, standardized approach. By the end, learners will understand how OpenTelemetry simplifies telemetry collection and strengthens troubleshooting in modern .NET systems.

涵盖的内容

4个视频2篇阅读材料1次同伴评审

Learners will gain hands-on experience installing and configuring the OpenTelemetry SDK in .NET applications. They will instrument an ASP.NET Core API to capture metrics, logs, and distributed traces, then export this telemetry to backends like Jaeger, Prometheus, and Azure Monitor. By the end of the course, learners will understand how to apply unified observability practices to monitor, debug, and optimize modern microservices and cloud-native systems. In this module, learners move from theory to practice by installing and configuring the OpenTelemetry SDK in a .NET API and exporting telemetry to Jaeger, Prometheus, and Azure Monitor. A coach dialogue guides them through diagnosing bottlenecks using traces and metrics, while step-by-step videos demonstrate SDK setup, configuration, and visualization with Docker-based backends. A written guide provides a lasting reference, and a hands-on lab challenges learners to instrument and trace API calls, reinforcing how unified observability enables real-world debugging and optimization.

涵盖的内容

4个视频1篇阅读材料1次同伴评审

Learners will explore how unified observability through OpenTelemetry enables faster root cause analysis and proactive performance monitoring. They will see how combining metrics, logs, and traces provides a complete view of .NET applications in action. By applying these practices, learners will be able to diagnose issues more effectively and ensure their systems remain reliable and performant. In this final section, learners apply everything they’ve learned to diagnose real microservice issues and build confidence as observability practitioners. A coach dialogue introduces a root cause mystery, followed by demonstrations of analyzing traces in Jaeger and monitoring metrics in Prometheus, showing how these tools complement each other. A reading on reliability engineering connects observability to resilience practices, while a hands-on lab challenges learners to troubleshoot a microservice outage. The course concludes with a capstone project to build a full observability stack using OpenTelemetry, a graded knowledge check, and career resources to help learners explore observability engineering roles. An outro video and promotional piece reinforce next steps and the broader industry relevance of OpenTelemetry.

涵盖的内容

4个视频1篇阅读材料1个作业2次同伴评审

位教师

Starweaver
Coursera
490 门课程920,167 名学生

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