Is this diagram a generalization of monitoring in DevOps?

Look at this diagram: Ignoring any specific tech stacks or tools used (i.e., tech stack agnostic), is my general understanding of the monitoring pipeline in DevOps correct? In DevOps monitoring, there are three core pillars of observability: Metrics – Aggregatable numerical data (e.g., the average CPU usage over the past 3 days for all web server nodes). Logs – Timestamped records of discrete events (e.g., WARNING: Deprecated feature used). Traces – Application performance tracking (e.g., the time taken for communication between the web server and the database, and then back to the end user). Profiling – (Sometimes considered a fourth pillar) Detailed performance insights at the code level (e.g., how long a function takes to execute). Based on the diagram, each node contains agents that collect observability data (metrics, logs, traces, profiling) and forward it to a centralized monitoring service (a central hub that processes the data before passing it to a visualizer). For example, Prometheus (metrics monitoring) sends data to Grafana (visualization). Each node—whether a database or web server—can be a virtual machine, physical server, or more commonly, a container. CMIIW (Correct Me If I'm Wrong).

May 23, 2025 - 05:50

Is this diagram a generalization of monitoring in DevOps?

Look at this diagram:

Ignoring any specific tech stacks or tools used (i.e., tech stack agnostic), is my general understanding of the monitoring pipeline in DevOps correct?

In DevOps monitoring, there are three core pillars of observability:

Metrics – Aggregatable numerical data (e.g., the average CPU usage over the past 3 days for all web server nodes).
Logs – Timestamped records of discrete events (e.g., WARNING: Deprecated feature used).
Traces – Application performance tracking (e.g., the time taken for communication between the web server and the database, and then back to the end user).
Profiling – (Sometimes considered a fourth pillar) Detailed performance insights at the code level (e.g., how long a function takes to execute).

Based on the diagram, each node contains agents that collect observability data (metrics, logs, traces, profiling) and forward it to a centralized monitoring service (a central hub that processes the data before passing it to a visualizer). For example, Prometheus (metrics monitoring) sends data to Grafana (visualization).

Each node—whether a database or web server—can be a virtual machine, physical server, or more commonly, a container. CMIIW (Correct Me If I'm Wrong).