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What is AWS CloudWatch?

AWS CloudWatch

Condition for AWS CloudWatch

  •  AWS CloudWatch is a monitoring and observability service provided by Amazon Web Services that collects:
     Metrics (CPU, memory, disk, network)
     Logs (application logs, system logs)
     Events (state changes such as EC2 stop/start)
     Alarms (trigger notifications when thresholds exceed)
     Dashboards (visual representation of metrics)
     It helps you monitor AWS resources + your own applications in real time.
     Example monitored services: EC2, Lambda, S3, RDS, ECS, EKS (Kubernetes), VPC Flow Logs, API Gateway, etc.

Why Use AWS CloudWatch?

  •  Monitor Health & Performance
     Track CPU, memory, latency, error rate, etc.
     Identify issues before the system crashes.
  •  Centralized Logging
     Collect all logs in one place:
     Application logs
     Docker logs
     Kubernetes (EKS) logs
     System logs (Linux/Windows)
  •  Automatic Alerts
     Receive alert notifications (SNS Email/SMS)
     Example: “CPU > 80% for 5 minutes”
  •  Auto-Response / Auto Healing
     CloudWatch can trigger actions:
     Scale EC2 or ECS automatically
     Restart instance
     Invoke Lambda to fix issues
  •  Resource Optimization & Cost Reduction
     Identify unused resources, high CPU EC2, slow DB
     Reduce cost using insights.
  •  Better Observability
     Create dashboards for real-time monitoring
     View logs, metrics, alarms all in one UI.

Advantages of AWS CloudWatch

  •  Fully managed (No servers required)
     You don’t need to install or maintain monitoring servers.
  •  Deep AWS Integration
     Works with all AWS services:
     EC2, Lambda
     S3
     RDS
     ECS/EKS
     DynamoDB
     CloudTrail
     VPC logs
  •  Real-time Monitoring
     Provides near real-time metrics (1-second granularity in some services).
  •  Custom Metrics & Custom Logs
     You can push your own application metrics:
     aws cloudwatch put-metric-data ...
  •  Automated Alarms
     Trigger automated actions using:
     SNS notifications
     Auto Scaling
     Lambda
  •  Log Insights (SQL-like querying)
     Search logs with powerful queries:
     fields @timestamp, @message
     | sort @timestamp desc
     | limit 20
  •  Dashboards
     Custom dashboards for business & infra:
     CPU by instance
     Error rate
     RDS slow queries
     Kubernetes pod logs

Disadvantages of AWS CloudWatch

  •  Cost can increase quickly
     Charges for:
     Metrics
     Custom metrics (Expensive)
     Logs storage
     Log Insights queries
     Alarms
     High-volume logs = high cost.
  •  UI Complex for Beginners
     CloudWatch has:
     Logs
     Metrics
     Events
     Alarms
     Dashboards
     This can confuse new users.
  •  Limited retention
     Default log retention = Indefinite, but:
     Metrics storage costs more for long-term
     High-resolution metrics stored only for short time
  •  Slow UI for Huge Logs
     CloudWatch Logs can feel slow when:
     Searching big logs
     Viewing Kubernetes logs
  •  Vendor lock-in
     Deeply tied to AWS; difficult to migrate to:
     Grafana Loki
     ELK stack
     Prometheus
  •  Limited visualization
     Compared to Grafana, Kibana, Datadog → dashboards are basic.

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