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Coursera

Introduction to Grafana Mimir for Scalable Metrics

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Overview

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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.

Syllabus

  • Module 1: Apply Mimir Replication and Deduplication Settings
    • Implement highly available metrics ingestion across distributed Kubernetes clusters using Mimir's replication and deduplication capabilities.
  • Module 2: Analyze PromQL Query Patterns for Optimization
    • Optimize PromQL query performance and reduce memory usage through systematic analysis of high-cardinality metrics patterns.
  • Module 3: Evaluate Dashboard Recording Rules and Alert Thresholds
    • Evaluate and optimize recording rules and alert thresholds to ensure accuracy and cost efficiency under variable load conditions.

Taught by

Hurix Digital

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