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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

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When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Getting Started with Loki Observability

位教师：Hurix Digital

包含在中

了解更多

3个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

3 小时完成

灵活的计划

自行安排学习进度

3个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

3 小时完成

灵活的计划

自行安排学习进度

您将学到什么

In observability systems, label design and cardinality control are critical for performance and cost in time-series databases.
Filtering logs before parsing reduces data volume early, improving efficiency and lowering computational overhead.
Correlating logs, metrics, and traces shows observability works best through unified, not siloed, monitoring approaches.
Structured logging reshapes incident response, requiring standardized workflows for modern distributed systems.

您将获得的技能

您将学习的工具

Query Languages

要了解的详细信息

可分享的证书

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了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有3个模块

Modern DevOps teams process over 2TB of log data daily, yet 67% struggle with efficient log analysis during critical incidents. This Short Course was created to help IT Support and Operations professionals accomplish building robust log observability systems that enable rapid troubleshooting and proactive monitoring. By completing this course, you'll master LogQL query optimization, label cardinality management, and integrated logging workflows that reduce mean time to resolution from hours to minutes. By the end of this course, you will be able to: Apply LogQL filters, parsers, and aggregation operators to isolate error patterns and generate on-call alerts from Loki log streams, Analyze label cardinality and retention configurations to optimize Loki query performance and storage cost for a multi-cluster environment, and Evaluate a logs-to-traces troubleshooting workflow to confirm root cause remediation and document incident lessons learned. This course is unique because it combines hands-on Loki deployment with real-world incident response scenarios, teaching both technical implementation and operational best practices for production environments. To be successful in this project, you should have a background in Linux system administration, container orchestration, and basic observability concepts.