Introduction to Grafana Mimir for Scalable Metrics
By External Provider
About 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.
What you will 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.