Operations Management

Operational Monitoring in Practice - Achieving Full-Stack Observability with CloudWatch

Learn about operational monitoring design with AWS CloudWatch, including metrics collection, log analysis, and alarm configuration for comprehensive observability.

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The Importance of Cloud Operational Monitoring and AWS Monitoring Infrastructure

Operational monitoring in cloud environments is the foundation for system stability and performance optimization. In on-premises environments, you had to build and operate monitoring tools like Zabbix or Nagios yourself, but AWS provides CloudWatch as a fully managed monitoring platform. CloudWatch automatically collects metrics from over 70 AWS services including EC2, Lambda, RDS, and DynamoDB, allowing you to start basic monitoring without additional configuration. Furthermore, CloudWatch offers a free tier that includes basic metrics collection and 10 alarms, enabling monitoring at no additional cost for small-scale environments. You can check the alarm list with aws cloudwatch describe-alarms --state-value ALARM.

CloudWatch Metrics and Custom Metrics

CloudWatch metrics are classified into two types: standard metrics and custom metrics. Standard metrics are automatically sent by AWS services and include EC2 CPU utilization, Lambda execution duration, and RDS connection counts. Custom metrics use the PutMetricData API to send application-specific indicators, enabling monitoring of business KPIs and application-specific performance metrics. Using Embedded Metric Format, you can generate metrics simultaneously with log output, streamlining custom metric submission from Lambda functions. High-resolution metrics enable data collection at 1-second intervals for detailed analysis of latency-sensitive workloads. Metrics are retained for up to 15 months depending on resolution, supporting long-term trend analysis.

CloudWatch Logs and Analysis with Logs Insights

CloudWatch Logs is a service that centrally collects and stores application logs, system logs, and AWS service logs. Lambda function execution logs, API Gateway access logs, and VPC Flow Logs are automatically sent to CloudWatch Logs. Logs Insights is a feature that rapidly searches and analyzes log data using a SQL-like query language, returning results in seconds even from tens of gigabytes of log data. The automatic field detection feature automatically extracts structured data from JSON-formatted logs, making aggregation and filtering easy. By configuring metric filters, you can record the occurrence count of specific log patterns as metrics, detecting spikes in error rates in real time. Log retention periods can be flexibly set from 1 day to indefinite, optimizing the balance between cost and retention requirements. When considering operational design, related books (Amazon) are a helpful resource.

Automated Notifications with Alarms and SNS Integration

CloudWatch Alarms is a feature that automates threshold monitoring and action execution for metrics. In addition to static thresholds, dynamic thresholds using Anomaly Detection are available, where machine learning models learn normal metric patterns and automatically detect deviations. Composite alarms combine multiple alarm states with logical operations to define more precise alert conditions. Actions triggered by alarm firing include SNS topic notifications, EC2 instance stop/restart, Auto Scaling policy execution, and Systems Manager Automation launch. Integration with SNS enables simultaneous notifications to multiple channels including email, SMS, Slack, and PagerDuty, making it easy to integrate with on-call systems. This significantly reduces the time from fault detection to initial response.

CloudWatch Monitoring Costs

The main cost drivers for CloudWatch are custom metrics (approximately $0.30/metric per month), log ingestion (approximately $0.50 per GB), and log storage (approximately $0.03 per GB per month). Basic metrics for EC2 and RDS are collected for free. Setting retention periods per log group - such as 7 days for debug logs and 1 year for audit logs - reduces storage costs. Using Embedded Metric Format to automatically extract metrics from application logs reduces PutMetricData API call costs.

Summary

AWS CloudWatch serves as the core of cloud operational monitoring as a fully managed monitoring platform that integrates metrics collection, log analysis, and alarm management. Native integration with over 70 AWS services enables basic monitoring without additional configuration, while custom metrics and Embedded Metric Format flexibly capture application-specific indicators. Rapid log analysis with Logs Insights and dynamic threshold alarms with Anomaly Detection reduce the burden on operations teams and support early fault detection and rapid response. Automated notifications through SNS integration and automated remediation through Systems Manager integration elevate the level of operational automation. For organizations aiming to advance their operational monitoring, the AWS monitoring ecosystem centered on CloudWatch is a compelling choice.

Related Services

Amazon CloudWatchA service that provides monitoring, log management, and alarms for AWS resources and applicationsAmazon SNSA fully managed Pub/Sub messaging and notification service

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