
Master Prometheus monitoring and alerting across your infrastructure with hands-on installation, node exporter configuration, and visualizations in Prometheus and Grafana on AWS.
Learn Prometheus for time-series monitoring with no agents, install Prometheus and Grafana, configure node exporter and alertmanager, build CPU and RAM dashboards across multiple servers, and secure access with nginx.
Launch an AWS free tier account, provisioning an Ubuntu 18.04 EC2 t2.micro instance, and securing access with a key pair and security groups.
Install Prometheus on Linux by downloading the tar.gz from prometheus.io, extracting it, and creating a dedicated Prometheus user. Deploy binaries and config files with proper ownership in the installation directories.
Create a systemd service for Prometheus, configure Prometheus.yaml, and enable and start the service. Verify status and access the dashboard at port 1990 to view samples per second.
Install Grafana on Linux, add the GPG key and repository, enable and start the Grafana server on port 3000, and connect to a Prometheus data source.
Set up node exporter on an EC2 instance, configure Prometheus scrape configs to collect metrics from port 9100, restart Prometheus, and view node exporter targets in the Prometheus dashboard.
Automate node exporter installation across multiple app servers with Ansible, set up an Ansible server on Prometheus, and create inventory and YAML playbooks to update Prometheus configuration.
Create two yaml files with ansible to install node exporter, download and untar the package, set up a node exporter user, copy binaries, and create a systemd service.
Automate monitoring setup with Ansible in Prometheus Mastery by configuring node exporter service, updating prometheus.yaml with node exporter targets, and restarting Prometheus, using dry runs for validation.
Automate node exporter installation and Prometheus updates across 100 servers with Ansible, performing dry runs, handling inventory, and ignoring preexisting users for reliable monitoring.
Set up the CloudWatch exporter for Prometheus. Create an IAM user with read access to CloudWatch and configure credentials on the Prometheus server.
Install the CloudWatch exporter for Prometheus by downloading the jar, installing OpenJDK 8 headless, and configuring the service and YAML file to export CloudWatch metrics.
learn how to configure the cloudwatch exporter in prometheus, set a five-second scrape interval, point to localhost:9106, restart services, reload daemons, and verify targets on the prometheus dashboard.
Set up Prometheus and Grafana monitoring with PromQL to build CPU and memory dashboards from node exporter data, and configure alerts and notification channels.
Install alert manager on the Prometheus machine, create a dedicated user, configure alertmanager.yaml, set up a systemd service, enable it, and verify alerts via the Prometheus and alertmanager console.
Install a mail server for alerts, compare self-hosted and AWS SES, verify domain DKIM and SPF, configure SMTP credentials, and connect Alertmanager to Prometheus for CPU alerts.
Configure Prometheus to alert on CPU usage by creating alert rules in the Prometheus YAML and alert rules file, triggering a warning above 75% for over one minute via Alertmanager.
Secure the Prometheus dashboard by configuring nginx with basic authentication, installing nginx, creating a htpasswd file with apache2 utils, and proxying to localhost:9090.
Learn to install and configure Prometheus on Linux Ubuntu server, query time-series database with PromQL, install node exporter, and set up Alert Manager to send alerts and visualize historical data.
Install Prometheus on a Linux server by downloading precompiled binaries, extracting them, creating a dedicated Prometheus user, and configuring the service with the Prometheus YAML file.
Set up the Prometheus server by creating the Prometheus user, configuring ownership, storing data in /var/lib/prometheus, and creating a systemd service.
Install node exporter on an ubuntu server to collect metrics for Prometheus, configure a new scrape job, start the service, and visualize data in Prometheus dashboards.
Master PromQL basics by querying Prometheus time series with instant vector and range vector selectors, filtering with labels, and using the offset modifier to access historical data.
Explore PromQL operators, including arithmetic, comparison, logical, and aggregation, through practical examples like converting bytes to GB and calculating memory usage for alerting.
Explore PromQL operators in depth, including matching rules, comparison and logical operators, and aggregation operators to query metrics such as http request totals and cpu idle time.
Compute free disk space in percent with PromQL using sum and division. Summarize by instance or label, explore top-k results, and practice average, min, and max.
Explore PromQL functions such as clamp max, changes, rate, and sort using the http request total metric. See how range vectors and comparison operators reveal metric changes for building queries.
Install and configure pushgateway so apps can push metrics to Prometheus when pulling is blocked by firewall or nat, and update Prometheus YAML with a pushgateway job and owner labels.
Restart Prometheus after YAML updates, verify the service status, then configure and test Pushgateway by pushing a sample metric with curl and inspecting the metrics in the Prometheus browser.
Install and configure alert manager for Prometheus to handle alerts and notify via Slack or email, covering user creation, binary installation, and configuration of folders and tools.
Install and configure alert manager on the host, specify the alert manager URL in the tool configuration file, verify 9093, update Prometheus alerting, restart Prometheus, and verify API v1 alerts.
Learn to create and manage alert rules in Prometheus, including server down and disk-space alerts, using rule files and configuration. Connect alerts to notifications via email or Slack.
Install and configure the Apache exporter to monitor web apps with Prometheus, set up the service, update Prometheus config with an Apache exporter job, and verify metrics on port 9117.
Explore Prometheus visualization methods, from the expression browser and ad hoc graph queries to consoles and HTML console templates for memory utilization using node exporter data.
Learn to visualize Prometheus data using promql with console templates and in-page graphs for memory utilization. Compare built-in techniques with Grafana and explore exporters, dashboards, and alert manager basics.
Introduction
"Prometheus Mastery: Comprehensive Monitoring and Alerting" is a comprehensive course designed to equip you with the skills needed to implement robust monitoring and alerting systems using Prometheus. This course is ideal for IT professionals, DevOps engineers, and system administrators looking to enhance their infrastructure monitoring capabilities. Join us to master the tools that keep your applications running smoothly!
Section 1: Prometheus - Setting up Monitoring and Alerts
In this section, you'll dive into the fundamentals of setting up monitoring and alerts with Prometheus. We start with an introduction to the project, providing an overview of what you can expect and the goals you will achieve by the end of this section. You'll set up your lab environment, ensuring you have all the necessary tools and configurations in place. The course guides you through the installation of Prometheus and Grafana, essential tools for monitoring and visualization. You will learn to use Node Exporter for hardware and OS metrics and explore automatic configuration techniques to streamline your monitoring setup. By the end of this section, you'll also set up AWS IAM users and configure CloudWatch Exporter for cloud monitoring, culminating in securing your Prometheus dashboard and setting up effective alerts.
Section 2: Project on Prometheus - Monitoring and Alerting
Building on the foundations from Section 1, this section delves deeper into advanced monitoring and alerting techniques. You will install and configure a monitoring server and node exporter, gaining a thorough understanding of PromQL, Prometheus’s query language. The section covers the installation and configuration of Pushgateway for short-lived job metrics and Alert Manager for managing alerts. You'll learn to set up alert rules and use Apache Exporter for application monitoring. This section also emphasizes visualization methods, helping you create insightful dashboards to visualize your data effectively.
Conclusion
"Prometheus Mastery: Comprehensive Monitoring and Alerting" provides a thorough understanding of setting up and managing monitoring and alerting systems using Prometheus and Grafana. By the end of the course, you'll have hands-on experience with essential tools and techniques, empowering you to maintain optimal performance and reliability in your IT infrastructure. Enroll now and take the first step towards mastering Prometheus monitoring and alerting!