Monitoring and Alerting with Prometheus

9,324 students enrolled

Monitoring and Alerting with Prometheus

Become a DevOps monitoring expert using Prometheus and Grafana, monitor your infrastructure and applications as a pro.

9,324 students enrolled

Created by Edward Viaene, Jorn Jambers

Last updated 4/2020

English

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Monitoring and Alerting with Prometheus

$16.99 $24.99 32% off

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4 hours on-demand video
Full lifetime access
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What you'll learn

Install & Configure Prometheus
Setup Alerting in Prometheus
Visualize your data in Grafana
Implement instrumentation within your applications
Enable metrics & alerting on throughout your infrastructure

+ – Introduction to the course

1 lecture 03:02

Preview 03:02

+ – Introduction to Prometheus

11 lectures 33:27

Introduction to Prometheus

Preview 03:04

Prometheus Installation

Preview 01:48

Demo: Prometheus Installation

Preview 06:57

Demo: Grafana with Prometheus Installation

Preview 03:12

Basic Concepts

02:03

Prometheus Configuration

02:20

Demo: Prometheus Config file

02:39

Monitoring Nodes (Servers) with Prometheus

01:05

Demo: node exporter for Linux

04:07

Node Exporter for Windows (WMI Exporter)

03:40

Prometheus Architecture

02:32

+ – Monitoring

6 lectures 30:57

Introduction to Monitoring

00:31

Client Libraries

07:16

Pushing Metrics

03:47

Querying

11:28

Service Discovery

05:11

Exporters

02:44

2 lectures 23:17

Introduction to Alerting

08:51

Setting Up Alerts

14:26

+ – Internals

4 lectures 25:46

Prometheus Storage

08:04

Prometheus Security

01:14

Demo: TLS & Authentication on Prometheus Server

03:46

Demo: Mutual TLS for Prometheus Targets

12:42

+ – Prometheus client implementations

5 lectures 59:46

Introduction on how to monitor a web app with Prometheus. In this example I'll explain how to use the Prometheus_client library in python + flask.

Monitoring a web application - introduction (Python Flask)

06:24

Monitoring a python-flask web application with prometheus. Shows you how to use Counters and Histograms to display query and app latencies. The app uses MySQL as a backend.

Demo: Monitoring a web application (Python Flask)

18:44

Demo: Calculating Apdex score (Python Flask)

05:37

In this lecture we will discus how Prometheus scrapes metrics from a java spring boot app using the integration of Micrometer into Spring Boot Actuator.

Monitoring a web application - introduction (Java Spring Boot)

06:18

In this lecture we will see how to implement develop a Spring Boot app using Actuator and Micrometer, we will implement a custom metric into the app and we will see the default metrics Micrometer will expose. We will also do a demo on how you can get JVM metrics out of the Spring Boot app and into Prometheus, we will also graph those in Grafana. In the demo I'm also going to show you how to build and run the app using Docker.

Demo: Monitoring a web application (Java Spring Boot)

22:43

+ – Other Use Cases

7 lectures 01:04:54

Cloudwatch Exporter

11:10

Grafana Provisioning

03:06

Demo: Grafana Provisioning

11:22

Scraping Kubernetes with Prometheus

14:22

Consul Integration with Prometheus

02:47

Demo: Consul Integration with Prometheus

10:31

EC2 Auto Discovery

11:36

+ – Thank you!

1 lecture 02:49

Bonus Lecture

02:49

Requirements

Prometheus will be installed during the course on a VM using DigitalOcean (you'll get a coupon to launch a droplet without charge)
No Prometheus experience is required to take this course
The course assumes basic Linux knowledge

Description

If you're in a DevOps, Cloud or SRE role, you'll understand how important monitoring & alerting is. You cannot build a successful application, or run a company without having a system that monitors your systems and applications and reports when something goes wrong. You need instrumentation in order to be successful.

Prometheus is the leading open-source monitoring system that can collect metrics from all your systems, including Linux servers, Windows Servers, Database Servers and any application you have written. It's inspired on Google's Borgmon, which uses time-series data as a datasource, to then send alerts based on this data.

This course will show you how to install and configure Prometheus on a Linux server. This course will use a VM on DigitalOcean, but you can install Prometheus on any modern Linux OS. We'll show you how to make visualizations (graphs) using Grafana. When building these graphs, you'll get to know PromQL, the language to query Prometheus and get meaningful data displayed. You'll also learn how to setup alerts to receive notifications when something goes wrong. Lastly, we have a section on use-cases to showcase you some real world examples.

You get a $10 DigitalOcean coupon to be able to install Prometheus on DigitalOcean.

We have both worked in the Tech/Finance industry in San Fransisco, New York City and London. We now run a consultancy business where we help our clients implement their Cloud & DevOps strategy. Using our expertise, we can deliver you this great training with real world examples and guide you when you have questions.

Enroll in this course now and install, configure and use Prometheus. Become great at monitoring your infrastructure!

Who this course is for:

SREs, DevOps or Cloud Engineers who would like to learn implement a Monitoring and Alerting solution
Anyone who is interested in learning more about monitoring & alerting with Prometheus

Featured review

Noel Ormston ( 56 courses, 20 reviews )

a year ago

Was looking to fill in some gaps in knowledge and understanding of Prometheus. I have been using and deploying it but some things I didn't feel I fully understood. Feel this course helped me getting my head around Prometheus. Will be applying this to my own lab and on the job.