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VictoriaMetrics: from discovery to expertise

A complete VictoriaMetrics course: Prometheus-compatible metrics storage, vmagent, MetricsQL, multi-tenant cluster, vmalert, backups, Kubernetes and a comparison with Thanos and Mimir.

8 chapters13 lessonsEN
At your pace, through practice.

By the end of this course you will be able to

  • Choose between single-node and cluster
  • Ingest with remote write, scraping and vmagent
  • Write MetricsQL queries and keep cardinality under control
  • Deploy a replicated multi-tenant cluster
  • Run VictoriaMetrics: alerting, backups, Kubernetes

🎯 Level : Intermediate👥 Who it is for : SREs, DevOps engineers and Prometheus operators looking for simple, resource-efficient metrics storage

LEARNING PATH

Course curriculum

0Course overview1 lesson
  1. Assessment quizQuiz · ⏱ 10 min
1Introduction2 lessons

Why VictoriaMetrics, and its components.

  1. Why VictoriaMetrics?Article · ⏱ 4 min
  2. Lab: Single-node VictoriaMetrics with Prometheus and GrafanaHands-on lab · ⏱ 35 min · Level 2/5
2Ingestion1 lesson

Remote write, scraping, vmagent.

  1. Ingesting metricsArticle · ⏱ 5 min
3MetricsQL3 lessons

Queries and cardinality.

  1. Lab: vmagent, disk buffer and storage outageHands-on lab · ⏱ 40 min · Level 3/5
  2. MetricsQLArticle · ⏱ 5 min
  3. Lab: MetricsQL and cardinality exercisesHands-on lab · ⏱ 35 min · Level 3/5
4Cluster2 lessons

Architecture, multi-tenancy and replication.

  1. VictoriaMetrics in cluster modeArticle · ⏱ 4 min
  2. Lab: Multi-tenant VictoriaMetrics clusterHands-on lab · ⏱ 50 min · Level 4/5
5Operations1 lesson

vmalert, backups, Kubernetes, monitoring.

  1. Running VictoriaMetricsArticle · ⏱ 5 min
6Comparison2 lessons

Thanos, Mimir or VictoriaMetrics.

  1. Final Lab: Alerting with vmalert and AlertmanagerHands-on lab · ⏱ 40 min · Level 3/5
  2. Thanos, Mimir or VictoriaMetrics?Article · ⏱ 3 min
7Best practices1 lesson

Recommended practices for running the product in production.

  1. VictoriaMetrics best practicesArticle · ⏱ 4 min

LEARN BY DOING

Use cases & applications

Long-term storage for Prometheus

Months or years of metrics at low cost.

Replacing Prometheus at scale

vmagent, VictoriaMetrics and vmalert.

Multi-team platform

Cluster with tenants and vmauth.

Resilient collection

Disk buffer and replication to two sites.

Recommended prerequisites

Prometheus: From Discovery to Expertise

What next?

Grafana Mimir: from discovery to expertiseThanos: from discovery to expertiseGrafana: From Discovery to Expertise

Frequently asked questions

Does VictoriaMetrics replace Prometheus?

It can replace its storage (via remote write) or the whole of Prometheus with vmagent and vmalert, while keeping PromQL and the same configuration files.

Why is it so resource-efficient?

Thanks to an optimised storage format and compression, and low memory usage per active series.

Do you need the cluster version?

Rarely at first: single-node handles several million active series. The cluster is for very large volumes and multi-tenancy.

Is MetricsQL compatible with PromQL?

Yes, it is a superset: PromQL queries work, and you get extra functions.