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Microservicessystem_design~12 mins

Dashboards (Grafana) in Microservices - Architecture Diagram

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System Overview - Dashboards (Grafana)

This system collects metrics and logs from multiple microservices and visualizes them in real-time dashboards using Grafana. It supports monitoring service health, performance, and alerts to help operators quickly identify and resolve issues.

Architecture Diagram
User
  |
  v
Load Balancer
  |
  v
Grafana Server
  |
  v
Prometheus (Metrics DB) <--> Alertmanager
  |
  v
Microservices Cluster
  |
  v
Logging System (e.g., Loki)
Components
User
user
Accesses dashboards to view metrics and alerts
Load Balancer
load_balancer
Distributes user requests to Grafana servers
Grafana Server
service
Renders dashboards and queries data sources
Prometheus
database
Stores time-series metrics collected from microservices
Alertmanager
service
Manages alerts based on Prometheus metrics
Microservices Cluster
service_cluster
Runs application services emitting metrics and logs
Logging System (Loki)
database
Stores logs collected from microservices for querying
Request Flow - 7 Hops
User → Load Balancer
Load Balancer → Grafana Server
Grafana Server → Prometheus
Grafana Server → Logging System (Loki)
Prometheus → Microservices Cluster
Logging System (Loki) → Microservices Cluster
Grafana Server → User
Failure Scenario
Component Fails:Prometheus
Impact:Metrics data becomes unavailable, dashboards show stale or missing metrics, alerts stop triggering
Mitigation:Use Prometheus replication and remote storage; dashboards fallback to cached data; alertmanager configured with redundant Prometheus instances
Architecture Quiz - 3 Questions
Test your understanding
Which component is responsible for storing time-series metrics?
APrometheus
BGrafana Server
CLoad Balancer
DAlertmanager
Design Principle
This architecture separates concerns by using specialized components for metrics storage, logging, alerting, and visualization. It ensures scalability by decoupling data collection from dashboard rendering and supports high availability through load balancing and replication.