Understand the relationship between Prometheus and Kubernetes monitoring architecture.
Install and deploy the Prometheus Operator.
Discover and monitor Kubernetes service endpoints.
Collect and use container metrics and resource-state metrics.
Monitor Kubernetes API server and Kubelet metrics.
Configure alerting rules and Alertmanager.
Explore troubleshooting, persistence, deployment options, and Horizontal Pod Autoscaler integration.
Training Overview
Introduction
Prerequisites
Prometheus and Kubernetes Overview
Historical Relationship
Monitoring Architecture
Prometheus Operator Introduction
Prometheus Operator Motivation
Operator Architecture
Installing the Prometheus Operator
Downloading kube-prometheus
Deploying the Operator
Verifying the Deployment
A Look Under the Hood
From Custom Resource to Statefulset
Discovering and Relabeling Targets
Monitoring Service Endpoints
Overview
Deploying the Demo Service
Monitoring the Demo Service
Monitoring Container Metrics
Collecting Container Metrics
Using Container Metrics
Monitoring Resource States
Overview
Using Resource State Metrics
Monitoring Cluster Components
Overview
Kubernetes API Server Metrics
Kubelet Metrics
Alerting
Overview
Configuring Rules
Deploying and Using Alertmanager
Configuring Alertmanager
Operational Concerns
Debugging the Operator
Persistence
Running In or Outside a Cluster
Horizontal Pod Autoscaler Integration
3 days
Certification: Prometheus Certified Associate (PCA)
Duration: 90 minutes, as listed on Koenig Solutions’ course page
Questions: 60 multiple-choice questions.
DevOps Engineers
Site Reliability Engineers (SREs)
Platform Engineers
Cloud Developers
IT professionals working with Kubernetes monitoring and observability.
Basic understanding of Unix/Linux system administration.
Familiarity with containerization concepts and Docker.
Hands-on experience with Kubernetes components such as Pods, Services, and Namespaces.
Knowledge of YAML configuration files and the kubectl command-line tool.
Experience managing Kubernetes network policies and storage volumes.
Introductory Prometheus training or equivalent practical experience.
Personalized Schedule one-on-one Expert Guidance Private Session – Just You & the Instructor Guaranteed-To-Run Tailored for Your Success
Learn Anytime, Anywhere Self-Paced & Interactive Budget-Friendly, High-Impact Smart Learning for Smart Professionals
Available Onsite / Online Team-Based Learning, Your Way Tailored for Business Goals Training That Grows With Your Team On-Demand Expert Instructors
The course teaches participants to monitor Kubernetes clusters and cloud-native applications using Prometheus, including metrics collection, service discovery, alerting, and troubleshooting.
The course runs for 24 hours over 3 days.
The course supports preparation for the Linux Foundation’s Prometheus Certified Associate (PCA) certification. The exam is separate from the training unless a specific package states otherwise.
Yes. The course description lists practical exercises for deploying the Prometheus Operator, monitoring Kubernetes metrics, configuring Alertmanager, creating dashboards, and testing alerts in a Kubernetes environment.
Learners should have basic Linux administration knowledge, familiarity with Docker and Kubernetes fundamentals, and experience with YAML and kubectl. Introductory Prometheus training or equivalent practical experience is also recommended.
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