Practical guide to Monitoring Microservices with Grafana

In this talk, I will demonstrate how to create a powerful and scalable monitoring system using Grafana and its suite of tools. The focus will be on effectively monitoring Golang services with MongoDB and PostgreSQL. We will cover the following key components:

• Grafana: The visualization and dashboard tool that ties everything together, allowing you to monitor logs, metrics, and traces from one unified interface.
• Loki: A log aggregation system optimized for cost-efficient, high-performance logging. I will demonstrate how Loki can collect, search, and visualize logs from distributed Golang services.
• Mimir: A scalable metrics solution built on Prometheus, designed for high-volume metric collection. I’ll cover how to set up Mimir to collect and visualize key performance metrics from Golang applications and databases like MongoDB and PostgreSQL.
• Tempo: A distributed tracing system that provides visibility into request flows across microservices. I’ll showcase how Tempo can be integrated to trace requests through Golang services, helping to identify performance bottlenecks and improve debugging.
• Alloy: An alerting and incident management tool that simplifies the on-call process by integrating with Grafana. I will demonstrate how to set up effective alerting so teams can respond quickly to issues detected by the monitoring stack.

By the end of the talk, attendees will gain practical insights into setting up comprehensive monitoring for their services, ensuring visibility into every aspect of their system's health and performance.

Here are the links for the resources I will use in the talk.

slides -> https://slides.com/achintyapranshu/bento/fullscreen

code -> https://github.com/achintya-7/monitoring_talk