📊 Monitoring & Alerting Platform

Get Started with Prometheus

Learn to monitor Kubernetes clusters and applications with Prometheus, Grafana, and Alertmanager. Set up comprehensive observability and alerting systems from scratch.

Get Started

Quick Start Guide

Install Prometheus

Deploy Prometheus Operator using Helm

Start Installation

Setup Dashboards

Configure Grafana with pre-built dashboards

Setup Grafana

Configure Alerts

Set up alert rules and notifications

Setup Alerts

Monitor Apps

Add custom metrics to your applications

Monitor Apps

Prometheus Features

Metrics Collection

Collect metrics from applications, services, and infrastructure.

PromQL Querying

Powerful query language for analyzing time-series data.

Alerting

Configure alerts based on metric thresholds and conditions.

Visualization

Create rich dashboards and visualizations with Grafana.

Monitoring Stack Components

Prometheus Server

Time-series database and metrics collection engine.

Data Collection & Storage

Key Features:

Metrics Scraping

PromQL Engine

Time-series DB

Web UI

Grafana

Visualization and dashboard platform for metrics.

Visualization & Dashboards

Key Features:

Dashboard Creation

Panel Types

Data Sources

User Management

Alertmanager

Alert routing and notification management system.

Alert Management

Key Features:

Alert Routing

Grouping

Notifications

Silencing

Exporters

Bridge between applications and Prometheus metrics.

Metrics Exposure

Key Features:

Node Exporter

App Exporters

Custom Metrics

Service Discovery

Prometheus Metrics Types

Counter

A cumulative metric that represents a single monotonically increasing counter.

Example:

http_requests_total

Use Cases:

Request counts, error counts

Gauge

A metric that represents a single numerical value that can arbitrarily go up and down.

Example:

memory_usage_bytes

Use Cases:

Current memory usage, active connections

Histogram

A metric that represents a distribution of values in buckets.

Example:

http_request_duration_seconds

Use Cases:

Request latency, response sizes

Summary

Similar to histogram but with configurable quantiles.

Example:

http_request_duration_seconds_summary

Use Cases:

Latency percentiles, quantiles

Learning Path

Introduction to Prometheus

2-3 hours

Beginner

Learn the fundamentals of Prometheus monitoring, metrics, and architecture.

Prometheus Architecture

Metrics Types

PromQL

Pull Model

Start Topic

Installation & Setup

1-2 hours

Intermediate

Deploy Prometheus monitoring stack in Kubernetes using operators.

Prometheus Operator

Helm Charts

ServiceMonitor

Namespace Setup

Start Topic

Grafana Dashboards

2-3 hours

Intermediate

Create and customize Grafana dashboards for Kubernetes monitoring.

Dashboard Creation

Panel Configuration

Data Sources

Alerting

Start Topic

Alert Rules

2-3 hours

Advanced

Configure Prometheus alert rules and understand the alerting lifecycle.

Alert Rule Syntax

PromQL for Alerts

Rule Testing

Best Practices

Start Topic

Alertmanager

2-3 hours

Advanced

Configure Alertmanager for alert routing, grouping, and notifications.

Alert Routing

Notification Channels

Grouping

Inhibition Rules

Start Topic

Third-party Applications

2-3 hours

Advanced

Monitor external applications using exporters and custom metrics.

Exporters

Redis Monitoring

Custom Metrics

ServiceMonitor

Start Topic

Custom Applications

3-4 hours

Advanced

Instrument your own applications to expose custom metrics.

Client Libraries

Custom Metrics

Node.js Example

Dashboard Creation

Start Topic

Why Use Prometheus?

Time-Series Database

Efficient storage and querying of time-series data

Powerful Querying

PromQL for complex metric analysis

Advanced Alerting

Sophisticated alerting and notification system

Ready to Monitor with Prometheus?

Build comprehensive monitoring and alerting systems for your Kubernetes clusters and applications.

Start Learning