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Monitoring and Logging

Monitoring and Logging Tools Overview

Modern systems, especially cloud and distributed applications, require tools to observe performance, detect issues, and analyse logs. Tools like Kibana, Grafana, and Prometheus are widely used for these purposes.

Kibana

Purpose

Log visualisation and analysis.

How it works

Kibana is part of the Elastic Stack (formerly ELK Stack) and is used to visualise data stored in Elasticsearch.

Key Features

  • Search and analyse large log datasets
  • Interactive dashboards
  • Log filtering and querying
  • Security and anomaly detection features

Common Use Cases

  • Viewing application logs
  • Debugging errors in production systems
  • Security monitoring

Example Setup

  1. Install Elasticsearch
  2. Send logs using Logstash or Filebeat
  3. Use Kibana to visualise logs

Prometheus

Purpose

Metrics collection and monitoring.

Prometheus is designed to collect numeric metrics over time from systems and applications.

Key Features

  • Time-series database
  • Powerful query language (PromQL)
  • Built-in alerting
  • Pull-based metrics collection

Common Use Cases

  • Monitoring servers and containers
  • Tracking CPU, memory, and request latency
  • Infrastructure monitoring in Kubernetes

Example Setup

  1. Install Prometheus
  2. Configure targets to scrape metrics
  3. Expose metrics via a /metrics endpoint
  4. Query metrics using PromQL

Grafana

Purpose

Visualisation and dashboards.

Grafana is commonly used with Prometheus but can connect to many different data sources.

Key Features

  • Highly customisable dashboards
  • Supports many data sources (Prometheus, Elasticsearch, databases)
  • Alerting and notifications
  • Real-time visual monitoring

Common Use Cases

  • Infrastructure monitoring dashboards
  • Business metrics visualisation
  • Combining logs, metrics, and traces

Example Setup

  1. Install Grafana
  2. Connect a data source (Prometheus, Elasticsearch, etc.)
  3. Build dashboards using panels and queries

Other Popular Tools

Logstash

  • Log processing pipeline
  • Collects, transforms, and sends logs to Elasticsearch

Filebeat

  • Lightweight log shipper
  • Sends logs from servers to Elasticsearch

Loki

  • Log aggregation system designed by Grafana Labs
  • Integrates well with Grafana dashboards

Best Practices for Monitoring and Logging

Monitor Key Metrics

  • CPU usage
  • Memory usage
  • Request latency
  • Error rates

Centralise Logs

Send logs from all services to a single platform.

Use Alerts

Configure alerts to notify you of abnormal behavior.

Combine Logs and Metrics

  • Metrics tell you that something is wrong
  • Logs help you understand why it is wrong

Create Meaningful Dashboards

Focus on actionable information instead of displaying excessive data.

Simple Summary

  • Prometheus collects metrics
  • Grafana visualises metrics
  • Kibana analyses logs