Member-only story
Grafana Loki: all you need to know
In our previous blog, we discussed the three main pillars of observability:
- Metrics
- Traces
- Logs
If you haven’t gone through it yet, check it out my previous blog to understand observability in detail.
In this blog, we will focus on logs, one of the most critical components of observability. Specifically, we will explore Grafana Loki — a powerful and cost-effective log aggregation system. We will cover Loki’s architecture, its components, and how it efficiently manages logs in a microservices deployment.
We will understand what problem does Loki solve…
Why Do We Need Loki?
Loki is designed to store logs for long-term analysis at an effective cost. It achieves this by utilizing small indexes and highly compressed chunk sizes, making it more efficient compared to traditional log management solutions.
Key benefits of Loki:
- Cost-effective: Stores only metadata indexes instead of full log contents.
- Scalable: Works seamlessly in microservices architectures.
- Seamless integration: Grafana for visualization…
