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AWS Cost Anomaly Detection, Service Quotas and Trusted Advisor


1. AWS Cost Anomaly Detection

Description:
AWS Cost Anomaly Detection uses machine learning to automatically identify unusual spending patterns in your AWS account. It helps you detect cost spikes before they escalate.

Key Features:

  • Creates anomaly detection monitors for linked accounts, services, or linked dimensions (e.g., region, usage type).
  • Generates alerts via Amazon SNS, email, or Slack/Teams (through AWS Chatbot).
  • Continuously learns your unique usage patterns (no manual thresholds needed).

Use Cases:

  • Detecting sudden spend increases (e.g., a runaway EC2 instance or data transfer surge).
  • Identifying unexpected usage of expensive services.
  • Preventing bill shock in unpredictable environments.

2. AWS Service Quotas

Description:
AWS Service Quotas (formerly AWS Limits) allows you to view and manage quotas (limits) for AWS services centrally.

Key Features:

  • Provides visibility into default and applied quotas for AWS resources.
  • Enables increase requests directly in the console for many services.
  • Integrates with CloudWatch metrics/alarms to notify when usage approaches quotas.

Use Cases:

  • Preventing service disruptions due to hitting maximum EC2 instance or Elastic IP quota.
  • Capacity planning by monitoring usage close to limits.
  • Automating quota checks in CI/CD pipelines.

3. AWS Trusted Advisor

Description:
AWS Trusted Advisor is an online tool that provides real-time guidance to help you optimize your AWS environment across five categories: Cost, Performance, Security, Fault Tolerance, and Service Limits.

Key Features:

  • Checks for cost optimization opportunities (idle EC2, low RDS utilization).
  • Security checks (e.g., IAM root user without MFA, unrestricted security groups).
  • Monitors for service limits being approached.
  • Available in two levels:
    • Core Checks (free): Security and service limit checks.
    • Full Advisor (paid via Business/Enterprise Support): Adds performance, cost optimization, and fault tolerance.

Use Cases:

  • Reducing costs by identifying unused resources.
  • Improving security posture by identifying risky IAM/security group configurations.
  • Ensuring resilience by checking for fault-tolerant configurations.