Dev.to

How Metrics Flow from Applications to Grafana Dashboard

Introduction Modern applications generate a vast amount of data, including performance metrics like response times, error rates, CPU usage, memory consumption, and request counts. To monitor these, tools like Prometheus (for data collection) and Grafana (for visualization) work together. But have you ever wondered: ❓ Where do these metrics come from? ❓ How do they get processed and stored? ❓ How do they finally appear on a Grafana dashboard? In this blog, we’ll break down the entire flow of metrics from their source (applications, databases, infrastructure) to visualization in Grafana. 1️⃣ Step 1: Metrics Collection (Instrumentation Layer)

Mar 8, 2025 - 04:26
 0
How Metrics Flow from Applications to Grafana Dashboard

Introduction

Modern applications generate a vast amount of data, including performance metrics like response times, error rates, CPU usage, memory consumption, and request counts. To monitor these, tools like Prometheus (for data collection) and Grafana (for visualization) work together.

But have you ever wondered:

❓ Where do these metrics come from?

❓ How do they get processed and stored?

❓ How do they finally appear on a Grafana dashboard?

In this blog, we’ll break down the entire flow of metrics from their source (applications, databases, infrastructure) to visualization in Grafana.

1️⃣ Step 1: Metrics Collection (Instrumentation Layer)

Read More

Tags:

Previous Article

Creating the Hesed Dental Website: A Technical Journey

Next Article

Sessionless Transactions in Database 23ai(23.6)

Related Posts

70% Faster Deployments with These 5 CI/CD Tools

70% Faster Deployments with These 5 CI/CD Tools

Mar 25, 2025  0

"Unlocking AI Potential: Denoising, Reinforcement Learning & Visual Models"

"Unlocking AI Potential: Denoising, Reinforcement Learn...

Mar 11, 2025  0

What are the biggest challenges developers face when working with WordPress?

What are the biggest challenges developers face when wo...

Feb 18, 2025  0