lab8.md

Lab 8: Monitoring with Prometheus

Overview

In this lab, you will become acquainted with Prometheus, set it up, and configure applications to collect metrics.

Task 1: Prometheus Setup

6 Points:

1. Learn About Prometheus:

   • Begin by reading about Prometheus and its fundamental concepts:
     • Prometheus Overview
     • Prometheus Naming Best Practices

2. Integration with Docker Compose:

   • Expand your existing docker-compose.yml file from the previous lab to include Prometheus.

3. Prometheus Configuration:

   • Configure Prometheus to collect metrics from both Loki and Prometheus containers.

4. Verify Prometheus Targets:

   • Access http://localhost:9090/targets to ensure that Prometheus is correctly scraping metrics.
   • Capture screenshots that confirm the successful setup and place them in a file named METRICS.md within the monitoring folder.

5. Pull Request to Forked Repository:

   • Create a Pull Request (PR) to the main branch of the forked repository.
   • Request your teammates to review this PR, and actively review PRs from your teammates.

6. Pull Request in Your Repository:

   • Construct a PR in your repository, linking the lab8 branch to the main branch.
   • This step is essential for grading and monitoring your work.

Task 2: Dashboard and Configuration Enhancements

4 Points:

1. Grafana Dashboards:

   • Set up dashboards in Grafana for both Loki and Prometheus.
   • You can use examples as references:
     • Example Dashboard for Loki
     • Example Dashboard for Prometheus
   • Capture screenshots displaying your successful dashboard configurations and include them in METRICS.md.

2. Service Configuration Updates:

   • Enhance the configuration of all services in the docker-compose.yml file:
     • Add log rotation mechanisms.
     • Specify memory limits for containers.
   • Ensure these changes are documented within your METRICS.md file.

3. Metrics Gathering:

   • Extend Prometheus to gather metrics from all services defined in the docker-compose.yml file.

Bonus

To Earn 2.5 Additional Points:

1. Application Metrics:

   • Integrate metrics into your applications. You can refer to Python examples like:
     • Monitoring a Synchronous Python Web Application
     • Metrics Monitoring in Python

2. Obtain Application Metrics:

   • Configure your applications to export metrics.

3. METRICS.md Update:

   • Document your progress with the bonus tasks, including screenshots, in the METRICS.md file.

4. Health Checks:

   • Further enhance the docker-compose.yml file's service configurations by adding health checks for the containers.

Guidelines:

• Maintain a well-structured and comprehensible METRICS.md document.
• Adhere to file and folder naming conventions.
• Utilize code blocks and Markdown formatting where appropriate.
• Engage actively in the peer review process by submitting and reviewing PRs.
• When creating the PR in your repository, make it from the lab4 branch to the lab3 branch.

Note: Ensure thorough documentation of your work, and guarantee that Prometheus correctly collects metrics. Take advantage of the bonus tasks to deepen your understanding and enhance the completeness of your setup.