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.
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.
DigitalOcean coupon: https://m.do.co/c/b71b388ab76f
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 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.
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.
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.
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.