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( 10 Students )
Prometheus
Master Prometheus from fundamentals to advanced use cases and learn how to monitor, visualize, and alert on infrastructure and applications
Course Duration: 10 Hours
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Prometheus - Monitoring and Alerting for Cloud-Native Systems Online Course
Prometheus - Monitoring and Alerting for Cloud-Native Systems is a comprehensive course designed for system administrators, DevOps engineers, SREs, and developers who want to master the art of monitoring modern infrastructure and applications. As organizations move toward microservices, containers, and cloud-native architectures, the need for robust monitoring becomes critical. Prometheus—developed by SoundCloud and now a CNCF project—is the industry-standard, open-source monitoring and alerting toolkit built for reliability and scalability in such environments.
What makes Prometheus unique is its multidimensional data model, powerful query language (PromQL), and a pull-based time series collection mechanism that works without relying on external storage or agents. Unlike traditional monitoring tools, Prometheus treats metrics as first-class citizens and stores them in a highly efficient time-series database. It scrapes targets over HTTP, stores metrics locally, and provides high availability through federation and service discovery. With its strong ecosystem, Prometheus integrates seamlessly with Grafana for visualizations and Alertmanager for managing alerts.
This course is structured to provide a balance of theoretical knowledge and practical experience. You will start with the foundational concepts of metrics, time series, and monitoring architectures. Then, you'll dive deep into installing and configuring Prometheus, collecting metrics from targets like Node Exporter and cAdvisor, and writing sophisticated queries using PromQL. The course also explores the integration with Grafana for dashboards and Alertmanager for real-time notifications via Slack, email, and webhooks.
As the course progresses, you'll explore Prometheus in cloud-native environments with Kubernetes and Docker. You'll learn to use Service Discovery for dynamic monitoring, apply relabeling for label management, and handle production-level use cases such as monitoring HTTP endpoints, setting up recording rules, managing retention policies, and scaling via remote write.
Prometheus isn’t just a monitoring tool—it’s a philosophy that encourages observability, precision, and resilience. In contrast to logs and traces that answer what happened, Prometheus helps answer why it happened, enabling faster troubleshooting, informed decisions, and proactive operations.
What You Will Gain
By the end of this course, you will be able to:
- Understand Prometheus architecture and monitoring paradigms.
- Install and configure Prometheus for different environments.
- Collect system, application, and container metrics.
- Master PromQL to create complex metric queries.
- Set up alert rules and route notifications using Alertmanager.
- Visualize data using Grafana dashboards.
- Implement Prometheus with Kubernetes for service discovery and dynamic monitoring.
- Use best practices for data retention, scaling, and security.
Whether you're monitoring a single application or managing a large Kubernetes cluster, this course will equip you with the tools and confidence to observe and act on real-time data.
Course Objectives Back to Top
By the end of this course, you will be able to:
- Understand core Prometheus components: TSDB, exporters, and Alertmanager.
- Write advanced queries using PromQL.
- Create custom metrics using client libraries.
- Visualize metrics with Grafana and set up alert thresholds.
- Monitor containers using Node Exporter, cAdvisor, and kube-state-metrics.
- Deploy Prometheus on Kubernetes using Helm and configure service discovery.
- Set up Alertmanager for grouping, inhibition, and routing alerts.
- Implement retention, recording rules, and remote write for scalable architectures.
Course Syllabus Back to Top
Prometheus Course Syllabus
Module 1: Introduction to Prometheus
- What is Prometheus
- Key Components and Architecture
- Use Cases and Ecosystem
Module 2: Installing and Running Prometheus
- Binary Installation
- Configuration File Overview
- Web Interface and API
Module 3: Exporters and Metrics Collection
- Node Exporter
- cAdvisor
- Application Exporters
- Custom Metrics with Client Libraries
Module 4: Prometheus Query Language (PromQL)
- Instant vs Range Vectors
- Aggregation Operators
- Rate, Increase, and Time Functions
Module 5: Data Visualization with Grafana
- Connecting Prometheus as a Data Source
- Creating Dashboards and Panels
- Using Variables and Templates
Module 6: Alerting and Notification Management
- Alert Rules Configuration
- Alertmanager Setup
- Routing, Inhibition, and Grouping
- Integration with Slack, Email, Webhooks
Module 7: Prometheus and Kubernetes
- Service Discovery in Kubernetes
- Monitoring Kubernetes Metrics
- Helm Charts and Prometheus Operator
Module 8: Advanced Topics
- Recording Rules
- Remote Write and Long-Term Storage
- Authentication and Security
- Scaling Prometheus Federated Architecture
Module 9: Capstone Projects
- Real-Time Monitoring for Node.js App
- Container Monitoring with Docker Compose
- Kubernetes Cluster Monitoring
Module 10: Prometheus Interview Questions & Answers
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Commonly Asked Questions
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Practical Scenario-Based Questions
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Best Practices Explained
Certification Back to Top
Upon successful completion, you will receive a Certificate of Completion from Uplatz that certifies your expertise in Prometheus monitoring and alerting. This certificate is valuable for enhancing your resume and demonstrating your capabilities in DevOps, SRE, and cloud-native observability roles.
Career & Jobs Back to Top
Prometheus skills are in high demand for roles like:
- DevOps Engineer
- Site Reliability Engineer (SRE)
- Cloud Infrastructure Engineer
- Platform Engineer
- Monitoring and Observability Specialist
Companies using cloud-native infrastructure (Kubernetes, Docker, etc.) actively seek professionals skilled in Prometheus for real-time monitoring, performance tuning, and incident management.
Interview Questions Back to Top
1. What is Prometheus and what are its main components?
Prometheus is an open-source monitoring and alerting toolkit. Its main components are the Prometheus server, time-series database (TSDB), exporters, PromQL, Alertmanager, and visualization via Grafana.
Prometheus is an open-source monitoring and alerting toolkit. Its main components are the Prometheus server, time-series database (TSDB), exporters, PromQL, Alertmanager, and visualization via Grafana.
2. How does Prometheus collect metrics?
Prometheus uses a pull-based mechanism to scrape metrics from HTTP endpoints exposed by exporters or instrumented applications.
Prometheus uses a pull-based mechanism to scrape metrics from HTTP endpoints exposed by exporters or instrumented applications.
3. What is PromQL and why is it important?
PromQL is Prometheus' query language that enables users to select, filter, and aggregate time series data for monitoring and alerting.
PromQL is Prometheus' query language that enables users to select, filter, and aggregate time series data for monitoring and alerting.
4. What are exporters in Prometheus?
Exporters are tools that expose metrics in a Prometheus-compatible format, such as Node Exporter for hardware metrics and cAdvisor for container metrics.
Exporters are tools that expose metrics in a Prometheus-compatible format, such as Node Exporter for hardware metrics and cAdvisor for container metrics.
5. How do alerts work in Prometheus?
Alerts are defined using alerting rules in the configuration file. When a rule’s condition is met, Prometheus sends the alert to Alertmanager, which handles deduplication, grouping, and notification.
Alerts are defined using alerting rules in the configuration file. When a rule’s condition is met, Prometheus sends the alert to Alertmanager, which handles deduplication, grouping, and notification.
6. What is the role of Alertmanager?
Alertmanager receives alerts from Prometheus and routes them to appropriate receivers like Slack or email, managing silences, grouping, and inhibition.
Alertmanager receives alerts from Prometheus and routes them to appropriate receivers like Slack or email, managing silences, grouping, and inhibition.
7. How is Prometheus different from traditional monitoring tools?
Prometheus is pull-based, does not require agents, stores data as time series, and uses PromQL. Traditional tools often rely on push-based agents and lack a native time-series database.
Prometheus is pull-based, does not require agents, stores data as time series, and uses PromQL. Traditional tools often rely on push-based agents and lack a native time-series database.
8. What are recording rules in Prometheus?
Recording rules precompute queries and store results as new time series, which improves performance and simplifies repeated queries.
Recording rules precompute queries and store results as new time series, which improves performance and simplifies repeated queries.
9. How do you monitor Kubernetes with Prometheus?
Prometheus integrates with Kubernetes using service discovery to dynamically monitor pods, nodes, and services via the Prometheus Operator or Helm charts.
Prometheus integrates with Kubernetes using service discovery to dynamically monitor pods, nodes, and services via the Prometheus Operator or Helm charts.
10. Can Prometheus be scaled horizontally?
Prometheus can be scaled using federation or by splitting workloads across multiple Prometheus servers and aggregating results through a central server.
Prometheus can be scaled using federation or by splitting workloads across multiple Prometheus servers and aggregating results through a central server.
Course Quiz Back to Top
FAQs
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