Coursera

Introduction to Grafana Mimir for Scalable Metrics

Coursera

Introduction to Grafana Mimir for Scalable Metrics

Hurix Digital

Instructor: Hurix Digital

Access provided by Masterflex LLC, Part of Avantor

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • High-availability metrics requires strategic replication and deduplication across distributed systems.

  • Query optimization directly impacts both performance and operational costs in observability systems.

  • Effective alerting balances sensitivity with cost control through data-driven threshold evaluation.

  • Scalable observability demands continuous monitoring and adjustment of recording rules and resource allocation.

Details to know

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Assessments

7 assignments¹

AI Graded see disclaimer
Taught in English
Recently updated!

April 2026

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There are 3 modules in this course

Implement highly available metrics ingestion across distributed Kubernetes clusters using Mimir's replication and deduplication capabilities.

What's included

2 videos1 reading2 assignments

Optimize PromQL query performance and reduce memory usage through systematic analysis of high-cardinality metrics patterns.

What's included

2 readings2 assignments

Evaluate and optimize recording rules and alert thresholds to ensure accuracy and cost efficiency under variable load conditions.

What's included

3 videos1 reading3 assignments

Instructor

Hurix Digital
Coursera
439 Courses37,025 learners

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.