When searching for online courses to learn about Prometheus software, it can be challenging to determine which ones are the most reputable and effective. With the wealth of options available, it is crucial to carefully evaluate each course to ensure it meets your specific learning needs and goals. In this article, we will explore some of the top Prometheus software courses available online, highlighting their key features and benefits to help you make an informed decision.
Here’s a look at the Best Prometheus Software Courses and Certifications Online and what they have to offer for you!
10 Best Prometheus Software Courses and Certifications Online
- 10 Best Prometheus Software Courses and Certifications Online
- 1. Monitoring and Alerting with Prometheus by Edward Viaene, Jorn Jambers (Udemy) (Our Best Pick)
- 2. Prometheus | The Complete Hands-On for Monitoring & Alerting by A to Z Mentors (Udemy)
- 3. Ultimate Prometheus by Eldan Elias (Udemy)
- 4. Prometheus Alerting and Monitoring by Sean Bradley (Udemy)
- 5. Monitoramento de aplicações com Prometheus e Grafana by Rodrigo Roma (Udemy)
- 6. Master DevOps Monitoring with Prometheus by Brendon Palmer (Udemy)
- 7. Prometheus Software Basics Guide 2022 by Learn Tech Plus (Udemy)
- 8. Mastering Prometheus and Grafana by Aref Karimi (Udemy)
- 9. Prometheus And Grafana – Learn Monitoring & Alerting Today by The Startup Central Co., Arpan Khagram (Udemy)
- 10. Learn Amazon Prometheus in 1 day by Yang-Xin (Eason) Cao (Udemy)
The course “Monitoring and Alerting with Prometheus” is designed for individuals in DevOps, Cloud, or SRE roles who understand the importance of monitoring and alerting in application development and company management. In order to achieve success, a system must be in place that monitors systems and applications and reports any issues. Prometheus is an open-source monitoring system that can collect metrics from a variety of sources, including servers and applications. This course teaches how to install and configure Prometheus on a Linux server, create graphs using Grafana, and set up alerts to receive notifications when there are problems. Real-world use cases are also provided as examples.
The course will be taught by Edward Viaene and Jorn Jambers, both of whom have experience in the tech and finance industries in cities including San Francisco, New York City, and London. They now run a consultancy business and bring their expertise to this training course. Students will receive a $100 DigitalOcean coupon when they enter a valid payment method to install Prometheus on DigitalOcean.
The course is divided into several sections, including an introduction to the course, an overview of Prometheus and its client implementations, monitoring, alerting, and internals. Other use cases are also presented for more in-depth understanding.
Enrollment in this course will allow individuals to become proficient in monitoring their infrastructure using Prometheus, making it an essential investment for those in DevOps, Cloud, or SRE roles.
The Prometheus | The Complete Hands-On for Monitoring & Alerting Course, taught by A to Z Mentors, offers a comprehensive guide to mastering DevOps monitoring and alerting. Students will learn the A to Z of Prometheus and Grafana, from the basics to advanced levels. Prometheus is an open-source tool used for event monitoring and alerting, and has become a top-level project of the Cloud Native Computing Foundation (CNCF).
The course covers complete Prometheus concepts explained from scratch to advance with real-time implementation. Each concept is explained with hands-on examples, including even the smallest details that are not clear in Prometheus’ official documentation. The technicalities covered include many official and third-party exporters, functions, operators, clauses, and more in the Prometheus Query Language (PromQL). Students will also learn how to instrument Python or Go applications to expose custom metrics with client libraries, dynamically add or remove scrape targets using service discovery, and monitor the Amazon Cloud (AWS) with Prometheus.
The course also includes creating an end-to-end routing tree for alerting systems, integrating with many alert notifiers such as Gmail, PagerDuty, and Slack, and scraping from batch jobs using Pushgateway. Students will learn how to build monitoring and alerting design patterns for a real-time case study using Prometheus and how to build value-added dashboards with Grafana. The course also covers best practices and do’s and don’ts to follow while monitoring in real-time DevOps projects.
The Ultimate Prometheus course offers comprehensive instruction on monitoring systems using Prometheus. With a focus on deployment on Kubernetes, this course covers monitoring basics and advanced concepts such as configuring Prometheus and the Alert Manager. It also provides insights into Prometheus features and architecture, including Service Discovery and Push Gateway. Participants will gain an understanding of metrics types and how to expose metrics with a Go client. The course also covers setting up alerts and notifications, and deploying Prometheus on Kubernetes using the Prometheus Operator and CRDs. By the end of the course, participants will be experts in using Prometheus to monitor various parts of their systems.
The Prometheus Alerting and Monitoring Course, instructed by Sean Bradley, teaches participants how to build a Prometheus Alerting and Monitoring System for their infrastructure. The course’s short description explains that it teaches the basics of Prometheus to get started quickly and provides exercises to try out the system.
The course begins by guiding participants through building a bare bones Prometheus server from scratch on Ubuntu 20.04 LTS, both in the cloud and on their own machines. The setup process is kept simple and done on an unrestricted, un-customized Ubuntu 20.04 LTS system.
Upon completing the setup, participants will be able to compare their results to the videos’ demonstrations and copy/paste directly from the provided documentation. This initial experience with Prometheus will allow them to problem-solve more efficiently and apply their knowledge to other operating systems in the future.
By the end of the course, participants will have a basic Prometheus setup in the cloud, behind a reverse proxy with SSL, a domain name, Basic Authentication, custom recording rules, alerting rules, node exporters local and external, alert manager using a send only SMTP server, a Grafana install, and configured with the Prometheus Datasource and several dashboards.
The course consists of an introduction section, followed by the setup and configuration of the Prometheus system, including customizations such as recording rules and alerting rules. The course concludes with the setup of alert manager, Grafana, and the Prometheus Datasource, with several dashboards.
The course titled “Monitoramento de aplicações com Prometheus e Grafana” is instructed by Rodrigo Roma and provides a comprehensive understanding of Prometheus and Grafana, starting from the basics to advanced features. The course covers practical aspects of installation, configuration, and usage of these technologies, along with fundamental concepts. Upon completing the course, learners will have the necessary knowledge to create metrics, dashboards, and alerts tailored to their specific needs.
The course focuses on monitoring a web application and a Windows server, but the fundamental concepts taught can be applied to monitor other devices and services such as databases, network devices, and webservers (Apache/Nginx).
Prometheus is an open-source tool developed in 2012 by SoundCloud for real-time monitoring of thousands of metrics of an application. In 2016, it became a graduated project in the Cloud Native Computing Foundation, similar to Kubernetes.
Grafana is an application for creating impressive graphs and dashboards, using Prometheus (among other sources) as a data source. With user registration and permission settings, Grafana is the perfect place to visualize real-time application performance.
The course includes an introduction, monitoring architectures, Prometheus basics, monitoring the application and server, PromQL queries, Grafana basics, creating graphs, additional features, alert creation, miscellaneous lessons, and conclusion. The practical and theoretical knowledge gained through this course will enable learners to optimize their application performance by monitoring its metrics efficiently.
The Master DevOps Monitoring with Prometheus course is a complete guide to learning how to effectively monitor DevOps processes utilizing Prometheus. The course is taught by Brendon Palmer, and is designed to provide a comprehensive understanding of monitoring theory, instrumentation, metrics exporters, alerting and more.
Monitoring can be a neglected aspect of the DevOps Lifecycle, but it is essential to collect time-series data and construct analytics that can inform development decisions. Prometheus is a simple open-source solution that is designed to monitor dynamic and evolving environments. It has been adopted by many large companies such as Uber, SoundCloud, Docker, and Digital Ocean.
The course consists of a 10-hour hands-on project that will help students gain the experience they need to implement Prometheus in their own environment. The course covers theoretical monitoring principles, installation methods, alert and metrics dashboards, app instrumentation, scraping metrics from numerous exporters, the Push Gateway, service discovery methods, environment labelling, recording rules, and the unique PromQL.
The course is designed to be interactive and engaging, with constant revisions based on feedback from students. Students are encouraged to engage with the instructor throughout the course to address any concerns or questions they may have.
The Master DevOps Monitoring with Prometheus course is divided into several sections, including the course introduction and status of Prometheus, setting up the test workspace, principles in monitoring and how Prometheus works, installing and setting up the Prometheus server, app instrumentation and metric guidelines, infrastructure monitoring, pushing metrics to Prometheus, service discovery techniques, labelling, PromQL, recording rules, alerting and alert receivers, alert receivers, and metrics visualization with Grafana.
The Prometheus Software Basics Guide 2022 course, taught by Learn Tech Plus, is designed to provide a comprehensive overview of Prometheus Software. The course is led by instructor Josh Werner and is suitable for individuals who want to learn the basics of Prometheus Software. No prior experience is necessary to enroll in the course.
The course begins with an introduction to Prometheus Software and covers all the fundamentals from scratch. It is great for students who need a refresher course on Prometheus Software. The course covers a variety of topics, including data models, metric types, jobs and instances, querying, storage, federation, HTTP SD, management API, migration, API stability, and feature flags.
In addition, the course covers visualization techniques, including expression browser, Grafana, and console templates. The course ends with a summary of all the concepts covered throughout the course.
The course is divided into six sections, including Introduction, Concepts, Visualization, and Conclusion. Each section is further broken down into individual topics, with a total of 32 topics covered throughout the course.
Students are encouraged to review the course description and preview videos before enrolling. The course requires an open mind and a willingness to learn. By the end of the course, students will have a comprehensive understanding of Prometheus Software and will be able to apply their knowledge to real-world scenarios.
The Mastering Prometheus and Grafana course is designed for developers, DevOps Engineers, and Solution Architects who want to learn monitoring and telemetry with the edge technologies. The course is taught by experienced expert Aref Karimi and covers time-series data collection and monitoring with Prometheus.
Prometheus is a free time-series database that records real-time metrics and generates valuable insights from that data with flexible queries. It supports multidimensional data collection and queuing, making it a top choice for many software development teams, even with large amounts of data. The telemetry data can be combined with Grafana, a powerful data visualization tool that allows users to create professional-looking and complex dashboards on top of Prometheus and other time-series databases.
The course covers a wide range of topics, including installing and setting up Prometheus, collecting metrics from Unix, Linux, and Mac, collecting metrics from Windows, retrieving metrics, functions in Prometheus, alerting, recording rules in Prometheus, client libraries of Prometheus and short-lived jobs, introduction to service discovery and push gateway, security in Prometheus, and Grafana.
Upon completion of the course, students will be able to set up and configure Prometheus and Grafana on Linux, Windows, and Mac to configure metrics from Linux and Windows machines. They will also learn how to send telemetry data to Prometheus using native and third-party libraries and how to use queries and functions to extract and retrieve complex data.
The Mastering Prometheus and Grafana course is suitable for all developers, DevOps Engineers, and Solution Architects who want to quickly learn monitoring and telemetry with the edge technologies and apply the learning at their work.
9. Prometheus And Grafana – Learn Monitoring & Alerting Today by The Startup Central Co., Arpan Khagram (Udemy)
The Prometheus and Grafana course, offered by The Startup Central Co. and instructed by Arpan Khagram, aims to teach students the basics of monitoring and alerting using Prometheus and Grafana. The course covers a range of topics including installation and management of both tools, metrics dashboard creation on Grafana, exporters and node exporter, alerting setup, high availability Prometheus set up, and application monitoring. Through the course, students will be able to follow practical demonstrations and try the exercises themselves. Upon completion of the program, students will be able to apply their newly acquired skills to their applications, laying the foundation for their future DevOps career in observability.
Prometheus is a free software application used for event monitoring and alerting. It records real-time metrics in a time series database with flexible queries and real-time alerting. Grafana, on the other hand, is the open-source analytics and monitoring solution for every database and is used by thousands of companies. These tools form a powerful toolkit for long-term metric collection and monitoring of applications for DevOps and SysAdmins, allowing them to set up alerts for their applications and infrastructure in just a few hours.
The course offers three benefits of Prometheus and Grafana monitoring: high demand for skilled monitoring experts, root cause analysis and prevention of repeated failures, and reduction of downtime with timely alerts. The program offers a 30-day refund guarantee if students are not satisfied.
Interested students are encouraged to enroll by pressing the “Take This Course” button to learn practical monitoring skills with Prometheus and Grafana. The course is divided into four sections: Prometheus, Grafana, Application Monitoring, and Conclusion.
The course entitled “Learn Amazon Prometheus in 1 day” is instructed by Yang-Xin (Eason) Cao. It aims to introduce learners to Amazon Managed Services for Prometheus (AMP) through hands-on experience with practical AWS skills. Prometheus is a leading open-source monitoring solution with a multi-dimensional data model suitable for time series data collected from containers.
Amazon Web Services launched Amazon Managed Service for Prometheus (AMP) in late 2020, a fully-managed service that is 100% compatible with Prometheus, making it easy to monitor containerized applications at scale.
The course covers the following areas: (1) learning Prometheus and its concepts, including the basic and difference between Amazon Prometheus, (2) real use case learning by doing hands-on with Kubernetes and private networking scenario that can be applied to learners’ teams, and (3) learning basic troubleshooting skills when ingesting data.
The course is not certified, accredited, affiliated with, nor endorsed by Amazon and Linux Foundation. All relevant materials included in the course are used for the sole purpose of demonstrating concepts and facilitating learning.
The course is divided into five sections, including Introduction, Hands-on 1: Run standalone application to ingest data, Hands-on 2: Use AMP with Kubernetes, Hands-on 3: AMP for private networking EC2 environment (Private scenario), and Let’s learn how to do troubleshooting! The course concludes with a completion section.