Prometheus training typically focuses on understanding how to effectively use Prometheus, an open-source monitoring and alerting toolkit designed for reliability and scalability in cloud-native environments. Training programs can vary in scope, from introductory sessions for beginners to more advanced courses for experienced users.

Why should you choose Nisa For Prometheus Training?

Nisa Trainings is the best online training platform for conducting one-on-one interactive live sessions with a 1:1 student-teacher ratio. You can gain hands-on experience by working on near-real-time projects under the guidance of our experienced faculty. We support you even after the completion of the course and happy to clarify your doubts anytime. Our teaching style at Nisa Trainings is entirely hands-on. You’ll have access to our desktop screen and will be actively conducting hands-on labs on your desktop.

Job Assistance

If you face any problem while working on Prometheus Course, then Nisa Trainings is simply a Call/Text/Email away to assist you. We offer Online Job Support for professionals to assist them and to solve their problems in real-time.

The Process we follow for our Online Job Support Service:

• We receive your inquiry for Online Job
• We will arrange a telephone call with our consultant to grasp your complete requirement and the tools you’re
• If our consultant is 100% confident in taking up your requirement and when you are also comfortable with our consultant, we will only agree to provide service. And then you have to make the payment to get the service from
• We will fix the timing for Online Job Support as mutually agreed by you and our consultant.

Course Information

Prometheus Training

Duration: 25 Hours

Timings: Weekdays (1-2 Hours per day) [OR] Weekends (2-3 Hours per day)

Training Method: Instructor Led Online One-on-One Live Interactive

Sessions.

COURSE CONTENT :

1. Introduction to Prometheus

• What Prometheus is and why it’s used.
• Key components: Prometheus server, client libraries, exporters, alertmanager, and Grafana.
• Prometheus architecture and data model (time-series data, metrics, labels).
• Prometheus vs. other monitoring solutions.

2. Setting Up Prometheus

• Installation on different platforms (Linux, Docker, Kubernetes, etc.).
• Configuration of Prometheus for different use cases (basic configuration, scraping targets, and storage configuration).
• Basic troubleshooting and log review.

3. Metrics Collection

• Understanding how Prometheus collects metrics using the pull model.
• Scraping metrics from various services and applications using exporters (e.g., Node Exporter, Blackbox Exporter).
• Creating custom application metrics using client libraries (Go, Java, Python, etc.).

4. Querying with PromQL

• Introduction to Prometheus Query Language (PromQL).
• Writing basic queries (selecting, aggregating, and filtering time-series data).
• Advanced queries (joins, subqueries, rate calculations).
• Practical use cases for data manipulation and visualization.

5. Alerting in Prometheus

• Setting up alerting rules based on Prometheus queries.
• Integration with Alertmanager to handle alerts (deduplication, silencing, notification).
• Best practices for alerting strategies (alert thresholds, severity levels, etc.).

6. Visualization with Grafana

• Integrating Prometheus with Grafana for data visualization.
• Building dashboards to represent metrics visually (graphs, gauges, tables).
• Grafana templating and variables for dynamic dashboards.

7. Scaling and High Availability

• Prometheus federation for scaling across multiple instances.
• High availability and redundancy best practices for large-scale environments.
• Sharding and handling large datasets efficiently.

8. Prometheus in Kubernetes

• Deploying Prometheus in Kubernetes (using Helm charts, Prometheus Operator).
• Monitoring Kubernetes clusters and services.
• Auto-discovery of Kubernetes pods and services.

9. Prometheus Ecosystem

• Overview of complementary tools (Alertmanager, Thanos, Cortex, and others).
• Integrating with logging and tracing tools (e.g., Loki, Jaeger).

10. Security and Best Practices

• Securing Prometheus (authentication, authorization, encryption).
• Backup and recovery strategies.
• Best practices for monitoring and alerting for cloud-native environments.