Monitoring and Alerting with Prometheus

Name: Monitoring and Alerting with Prometheus
Rating: 4.1 (3641 reviews)

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

Created byEdward Viaene, Jorn Jambers

Last updated 9/2021

English

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What you'll learn

Install, Configure and run Prometheus
Setup Alerting in Prometheus
Visualizing data in Grafana
Implementing Prometheus within your own applications
Enable metrics & alerting on throughout your infrastructure
Implement instrumentation

Course content

8 sections • 38 lectures • 4h 3m total length

Introduction3:02

Introduction to Prometheus3:04
Prometheus Installation1:48
DigitalOcean coupon: https://udemy-p.learnex.fyi/_ud_origin/m.do.co/c/b71b388ab76f
Demo: Prometheus Installation6:50
DigitalOcean coupon: https://udemy-p.learnex.fyi/_ud_origin/m.do.co/c/b71b388ab76f
Demo: Grafana with Prometheus Installation3:12
Install Grafana to enrich Prometheus dashboards, set up a Prometheus data source, and build dashboards with graphs, invite colleagues, and connect with LDAP or GitHub.
Basic Concepts2:03
Prometheus Configuration2:20
Configure the Prometheus yaml file, reload with sighup, and start with --config.file. Explore default global settings, 15-second scrape and evaluation intervals, and targets such as localhost:9090/metrics.
Demo: Prometheus Config file2:39
Monitoring Nodes (Servers) with Prometheus1:05
Install the node-exporter to monitor linux or unix nodes and expose cpu and memory metrics for Prometheus to pull, with Windows using a WMI exporter for similar metrics.
Demo: node exporter for Linux4:07
Node Exporter for Windows (WMI Exporter)3:40
Demonstrates installing and running the WMI exporter on a Windows server, exposing metrics at localhost:9182, and configuring Prometheus to scrape and monitor Windows metrics such as disk free bytes.
Prometheus Architecture2:32

Introduction to Monitoring0:31
Client Libraries7:16
Instrument your code with Prometheus client libraries across languages, using counters, gauges, histograms, and summaries. Expose metrics in the chosen exposition format with labeled series to monitor latency and throughput.
Pushing Metrics3:47
Prometheus mainly uses pull-based collection, but pushes via the pushgateway for batch jobs when NAT or firewall blocks scraping, using grouping keys and push_to_gateway and delete_from_gateway.
Querying11:28
Service Discovery5:11
Prometheus service discovery enables automatic detection of devices and services across AWS, Azure, Google, Kubernetes, DNS, Consul, Zookeeper, and file discovery, enabling dynamic scraping without manual configuration.
Exporters2:44

Monitoring a web application - introduction (Python Flask)6:24
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.
Demo: Monitoring a web application (Python Flask)18:44
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: Calculating Apdex score (Python Flask)5:37
Monitoring a web application - introduction (Java Spring Boot)6:18
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.
Demo: Monitoring a web application (Java Spring Boot)22:43
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.

Cloudwatch Exporter11:10
Grafana Provisioning3:06
Demo: Grafana Provisioning11:22
Install Grafana to improve Prometheus visualizations and build dashboards. Log in to Grafana on port 3000, add a Prometheus data source at localhost:9090, and create graphs via queries.
Scraping Kubernetes with Prometheus14:22
Consul Integration with Prometheus2:47
Learn how Prometheus integrates with Consul to scrape metrics, enable service discovery, and auto-register services as targets, with a focus on Prometheus integration rather than implementing Consul.
Demo: Consul Integration with Prometheus10:31
EC2 Auto Discovery11:36
Explore how Prometheus EC2 auto discovery automatically scrapes EC2 instances, with IAM roles, security groups, and node exporter, and visualize the results in Grafana.

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 but the labs can easily be followed in the demos

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 $100 DigitalOcean coupon when you enter a valid payment method 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:

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

Monitoring and Alerting with Prometheus

What you'll learn

Explore related topics

Course content

Introduction to the course1 lecture • 3min

Introduction to Prometheus11 lectures • 33min

Monitoring6 lectures • 31min

Alerting2 lectures • 23min

Internals4 lectures • 26min

Prometheus client implementations5 lectures • 1hr

Other Use Cases7 lectures • 1hr 5min

Thank you!2 lectures • 3min

Requirements

Description

Who this course is for: