Introduction to Grafana Mimir for Scalable Metrics

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Introduction to Grafana Mimir for Scalable Metrics

Instructor: Hurix Digital

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3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

3 modules

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.

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There are 3 modules in this course

Managing metrics at scale requires sophisticated orchestration and optimization strategies. This Short Course was created to help IT Support and Operations professionals accomplish highly available, cost-efficient metrics operations using Grafana Mimir. By completing this course, you'll be able to configure multi-cluster metric ingestion, optimize query performance, and reduce operational costs through intelligent alerting.

By the end of this course, you will be able to: - Apply Mimir replication and deduplication settings to achieve highly available metrics ingestion across two Kubernetes clusters - Analyze PromQL query patterns to optimize performance and memory usage for a high-cardinality label set - Evaluate dashboard recording rules and alert thresholds to ensure accuracy and cost efficiency under variable load conditions This course is unique because it focuses on real-world scaling challenges with hands-on Kubernetes deployments and cost optimization strategies. To be successful in this course, you should have experience with Kubernetes, Prometheus basics, and observability concepts.

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

3 videosTotal 19 minutes

The Cost of Alert Fatigue3 minutes
Recording Rules and Alert Design Principles7 minutes
Implementing Recording Rules and Alerts8 minutes

1 readingTotal 11 minutes

Cost Optimization Strategies for Metrics11 minutes

3 assignmentsTotal 60 minutes

Final Assessment: Scale Metrics with Grafana Mimir15 minutes
Alert Strategy Evaluation15 minutes
Knowledge Check: Evaluate Dashboard Recording Rules and Alert Thresholds30 minutes

Instructor

Hurix Digital

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