Victoriametrics, Victorialogs and Grafana 

Course & Training

High-performance monitoring and logging solution with VictoriaMetrics, VictoriaLogs, and Grafana for scalable observability, Prometheus-compatible monitoring, and as an ELK alternative.

Discover the power of the VictoriaMetrics family for modern observability. In this intensive training, you'll learn how VictoriaMetrics and VictoriaLogs provide a cost-effective, high-performance alternative to traditional monitoring stacks such as Prometheus, Loki, or ELK (Elasticsearch, Logstash, Kibana). Master the installation, configuration, and operation of these innovative tools combined with Grafana for comprehensive metrics and log analysis in Kubernetes clusters, container environments, and hybrid cloud infrastructures.

In-House Course:

We are happy to conduct tailored courses for your team - on-site, remotely or in our course rooms.

Request In-House Course

Content:


Welcome to our comprehensive training on the VictoriaMetrics family and Grafana. This course is designed for DevOps engineers, SREs, cloud engineers, and developers who want to implement a modern, scalable, and cost-effective observability solution.

VictoriaMetrics is a high-performance, Prometheus-compatible monitoring solution optimized for large data volumes, high cardinality metrics, and long-term storage. VictoriaLogs complements the ecosystem as a fast and efficient log management solution for cloud-native logging. Together with Grafana, they form a powerful observability stack for complete metrics and log analysis.

Throughout the training, you will master the following topics:

– Introduction and Setup:
... - VictoriaMetrics vs. Prometheus: advantages and differences
... - Quick installation and basic configuration
... - Migration from existing Prometheus setups
... - VictoriaLogs basic setup and integration
... - vmagent as Prometheus replacement and scraper
... - Comparison with Thanos, Cortex/Mimir, and Loki

– PromQL and MetricsQL Mastery:
... - PromQL compatibility and differences
... - MetricsQL extensions and advanced functions
... - Complex queries for business metrics
... - Query performance optimization and best practices
... - Practical exercises with real datasets

– Grafana Dashboard Development:
... - Configuring VictoriaMetrics as Grafana data source
... - Dashboard design principles for observability
... - Advanced visualizations and panel types
... - Template variables and dynamic dashboards
... - Alerting integration in dashboards
... - Dashboard versioning and sharing

– VictoriaLogs Querying and Log Analysis:
... - VictoriaLogs integration in Grafana
... - Understanding LogQL-like query language
... - Log parsing and structured search
... - Correlation between metrics and logs
... - Creating log-based metrics
... - Troubleshooting with log analysis

– Operations, Security, and Scaling:
... - Single-node vs. cluster deployment
... - Retention strategies, sharding, and backups
... - vmauth for authentication and multi-tenancy
... - Security with TLS, tokens, and access control
... - Self-monitoring and performance metrics
... - vmalert and integration with Alertmanager
... - Observability in Kubernetes and cloud environments

– Practical Application and Use Cases:
... - Implementing SRE dashboard patterns
... - Application Performance Monitoring (APM)
... - Infrastructure monitoring dashboards
... - Business metrics and KPI tracking
... - Multi-tenant monitoring scenarios
... - Real-time alerting and incident response
... - Migration of an existing Prometheus setup as hands-on exercise
... - End-to-end exercise: KPI dashboard with metric and log correlation

This course combines theoretical knowledge with intensive practical application and prepares you to successfully deploy VictoriaMetrics and VictoriaLogs in production environments.


Disclaimer: The actual course content may vary from the above, depending on the trainer, implementation, duration and constellation of participants.

Whether we call it training, course, workshop or seminar, we want to pick up participants at their point and equip them with the necessary practical knowledge so that they can apply the technology directly after the training and deepen it independently.

Goal:

Participants can implement and operate VictoriaMetrics and VictoriaLogs as a complete observability solution after the course. They master migration from existing monitoring systems, understand best practices for operations, security, and scaling in Kubernetes and cloud environments, and can build scalable, cost-effective monitoring and logging infrastructures.


Form:

Proven mix of explanation, live demos, and practical exercises with real VictoriaMetrics deployments. Intensive hands-on sessions with cluster setup, Helm, Docker Compose, Grafana integration, Prometheus remote write, and performance optimization.


Target Audience:

DevOps engineers, Site Reliability Engineers (SREs), cloud engineers, platform engineers, system administrators, and developers who want to implement modern, scalable observability solutions, optimize existing monitoring stacks, or look for an ELK alternative.


Requirements:

Basic understanding of monitoring concepts, experience with Kubernetes or Docker, basic knowledge of Prometheus and PromQL. Knowledge of Linux command line is advantageous. Experience with CI/CD pipelines or Infrastructure as Code (e.g., Terraform, Ansible) is helpful.


Preparation:

Each participant receives a questionnaire and installation instructions after registration. We provide a pre-configured laboratory environment with Kubernetes, VictoriaMetrics, and Grafana. Optionally, participants can bring their own metrics and logs from Kubernetes or Docker environments.

Request In-House Course:

In-House Kurs Anfragen

Waitinglist for public course:

Sign up for the waiting list for more public course dates. Once we have enough people on the waiting list, we will determine a date that suits everyone as much as possible and schedule a new session. If you want to participate directly with two colleagues, we can even plan a public course specifically for you.

Waiting List Request

(If you already have 3 or more participants, we will discuss your preferred date directly with you and announce the course.)

More about VictoriaMetrics & VictoriaLogs



VictoriaMetrics is a high-performance, cost-effective monitoring solution developed as a drop-in replacement for Prometheus. VictoriaLogs complements the ecosystem as a modern log management solution. Both tools are written in Go and optimized for extreme performance and scalability.




History and Development


VictoriaMetrics was developed by Aliaksandr Valialkin and released as an open-source project in 2018. The project emerged from the need to create a more scalable and cost-effective alternative to Prometheus for large monitoring environments.


Development focused on extreme performance optimization and storage efficiency. VictoriaMetrics can require up to 10x less RAM and storage space than Prometheus while supporting higher ingestion rates. VictoriaLogs was later developed as a complement for log management.


Today, VictoriaMetrics is used by companies like Wix, Adidas, and Zerodha in production environments. The project has established itself as a leading alternative to Prometheus, especially for environments with high cardinality, Kubernetes monitoring, and large data volumes. The continuous development of features such as vmalert, vmgateway, vmauth, and the Enterprise version demonstrates the active evolution of the ecosystem. VictoriaMetrics is also positioned as an alternative to Thanos, Cortex/Mimir, and the ELK stack.