aws-cost-operations
The aws-cost-operations skill integrates eight MCP servers to provide comprehensive AWS cost optimization, billing analysis, cost estimation, and operational monitoring. It enables users to track spending and trends, estimate pre-deployment costs across regions, analyze historical spending patterns, monitor application performance and metrics, query Prometheus data, and audit API activity for compliance and security investigations.
git clone --depth 1 https://github.com/Microck/ordinary-claude-skills /tmp/aws-cost-operations && cp -r /tmp/aws-cost-operations/skills_all/aws-skills/skills/aws-cost-operations ~/.claude/skills/aws-cost-operationsSKILL.md
# AWS Cost & Operations This skill provides comprehensive guidance for AWS cost optimization, monitoring, observability, and operational excellence with integrated MCP servers. ## Integrated MCP Servers This skill includes 8 MCP servers automatically configured with the plugin: ### Cost Management Servers #### 1. AWS Billing and Cost Management MCP Server **Purpose**: Real-time billing and cost management - View current AWS spending and trends - Analyze billing details across services - Track budget utilization - Monitor cost allocation tags - Review consolidated billing for organizations #### 2. AWS Pricing MCP Server **Purpose**: Pre-deployment cost estimation and optimization - Estimate costs before deploying resources - Compare pricing across regions - Calculate Total Cost of Ownership (TCO) - Evaluate different service options for cost efficiency - Get current pricing information for AWS services #### 3. AWS Cost Explorer MCP Server **Purpose**: Detailed cost analysis and reporting - Analyze historical spending patterns - Create custom cost reports - Identify cost anomalies and trends - Forecast future costs - Analyze cost by service, region, or tag - Generate cost optimization recommendations ### Monitoring & Observability Servers #### 4. Amazon CloudWatch MCP Server **Purpose**: Metrics, alarms, and logs analysis - Query CloudWatch metrics and logs - Create and manage CloudWatch alarms - Analyze application performance metrics - Troubleshoot operational issues - Set up custom dashboards - Monitor resource utilization #### 5. Amazon CloudWatch Application Signals MCP Server **Purpose**: Application monitoring and performance insights - Monitor application health and performance - Analyze service-level objectives (SLOs) - Track application dependencies - Identify performance bottlenecks - Monitor service map and traces #### 6. AWS Managed Prometheus MCP Server **Purpose**: Prometheus-compatible monitoring - Query Prometheus metrics - Monitor containerized applications - Analyze Kubernetes workload metrics - Create PromQL queries - Track custom application metrics ### Audit & Security Servers #### 7. AWS CloudTrail MCP Server **Purpose**: AWS API activity and audit analysis - Analyze AWS API calls and user activity - Track resource changes and modifications - Investigate security incidents - Audit compliance requirements - Identify unusual access patterns - Review who made what changes when #### 8. AWS Well-Architected Security Assessment Tool MCP Server **Purpose**: Security assessment against Well-Architected Framework - Assess security posture against AWS best practices - Identify security gaps and vulnerabilities - Get security improvement recommendations - Review security pillar compliance - Generate security assessment reports ## When to Use This Skill Use this skill when: - Optimizing AWS costs and reducing spending - Estimating costs before deployment - Monitoring application and infrastructure performance - Setting up observability and alerting - Analyzing spending patterns and trends - Investigating operational issues - Auditing AWS activity and changes - Assessing security posture - Implementing operational excellence ## Cost Optimization Best Practices ### Pre-Deployment Cost Estimation **Always estimate costs before deploying**: 1. Use **AWS Pricing MCP** to estimate resource costs 2. Compare pricing across different regions 3. Evaluate alternative service options 4. Calculate expected monthly costs 5. Plan for scaling and growth **Example workflow**: ``` "Estimate the monthly cost of running a Lambda function with 1 million invocations, 512MB memory, 3-second duration in us-east-1" ``` ### Cost Analysis and Optimization **Regular cost reviews**: 1. Use **Cost Explorer MCP** to analyze spending trends 2. Identify cost anomalies and unexpected charges 3. Review costs by service, region, and environment 4. Compare actual vs. budgeted costs 5. Generate cost optimization recommendations **Cost optimization strategies**: - Right-size over-provisioned resources - Use appropriate storage classes (S3, EBS) - Implement auto-scaling for dynamic workloads - Leverage Savings Plans and Reserved Instances - Delete unused resources and snapshots - Use cost allocation tags effectively ### Budget Monitoring **Track spending against budgets**: 1. Use **Billing and Cost Management MCP** to monitor budgets 2. Set up budget alerts for threshold breaches 3. Review budget utilization regularly 4. Adjust budgets based on trends 5. Implement cost controls and governance ## Monitoring and Observability Best Practices ### CloudWatch Metrics and Alarms **Implement comprehensive monitoring**: 1. Use **CloudWatch MCP** to query metrics and logs 2. Set up alarms for critical metrics: - CPU and memory utilization - Error rates and latency - Queue depths and processing times - API gateway throttling - Lambda errors and timeouts 3. Create CloudWatch dashboards for visualization 4. Use log insights for troubleshooting **Example alarm scenarios**: - Lambda error rate > 1% - EC2 CPU utilization > 80% - API Gateway 4xx/5xx error spike - DynamoDB throttled requests - ECS task failures ### Application Performance Monitoring **Monitor application health**: 1. Use **CloudWatch Application Signals MCP** for APM 2. Track service-level objectives (SLOs) 3. Monitor application dependencies 4. Identify performance bottlenecks 5. Set up distributed tracing ### Container and Kubernetes Monitoring **For containerized workloads**: 1. Use **AWS Managed Prometheus MCP** for metrics 2. Monitor container resource utilization 3. Track pod and node health 4. Create PromQL queries for custom metrics 5. Set up alerts for container anomalies ## Audit and Security Best Practices ### CloudTrail Activity Analysis **Audit AWS activity**: 1. Use **CloudTrail MCP** to analyze API activity 2. Track who made changes to resources 3. Investigate security incidents 4. Monitor for suspiciou
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