300 lines
9.6 KiB
Markdown
300 lines
9.6 KiB
Markdown
---
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name: aws-cost-operations
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description: This skill provides AWS cost optimization, monitoring, and operational best practices with integrated MCP servers for billing analysis, cost estimation, observability, and security assessment.
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---
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# AWS Cost & Operations
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This skill provides comprehensive guidance for AWS cost optimization, monitoring, observability, and operational excellence with integrated MCP servers.
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## Integrated MCP Servers
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This skill includes 8 MCP servers automatically configured with the plugin:
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### Cost Management Servers
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#### 1. AWS Billing and Cost Management MCP Server
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**Purpose**: Real-time billing and cost management
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- View current AWS spending and trends
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- Analyze billing details across services
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- Track budget utilization
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- Monitor cost allocation tags
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- Review consolidated billing for organizations
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#### 2. AWS Pricing MCP Server
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**Purpose**: Pre-deployment cost estimation and optimization
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- Estimate costs before deploying resources
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- Compare pricing across regions
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- Calculate Total Cost of Ownership (TCO)
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- Evaluate different service options for cost efficiency
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- Get current pricing information for AWS services
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#### 3. AWS Cost Explorer MCP Server
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**Purpose**: Detailed cost analysis and reporting
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- Analyze historical spending patterns
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- Create custom cost reports
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- Identify cost anomalies and trends
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- Forecast future costs
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- Analyze cost by service, region, or tag
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- Generate cost optimization recommendations
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### Monitoring & Observability Servers
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#### 4. Amazon CloudWatch MCP Server
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**Purpose**: Metrics, alarms, and logs analysis
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- Query CloudWatch metrics and logs
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- Create and manage CloudWatch alarms
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- Analyze application performance metrics
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- Troubleshoot operational issues
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- Set up custom dashboards
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- Monitor resource utilization
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#### 5. Amazon CloudWatch Application Signals MCP Server
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**Purpose**: Application monitoring and performance insights
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- Monitor application health and performance
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- Analyze service-level objectives (SLOs)
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- Track application dependencies
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- Identify performance bottlenecks
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- Monitor service map and traces
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#### 6. AWS Managed Prometheus MCP Server
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**Purpose**: Prometheus-compatible monitoring
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- Query Prometheus metrics
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- Monitor containerized applications
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- Analyze Kubernetes workload metrics
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- Create PromQL queries
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- Track custom application metrics
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### Audit & Security Servers
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#### 7. AWS CloudTrail MCP Server
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**Purpose**: AWS API activity and audit analysis
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- Analyze AWS API calls and user activity
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- Track resource changes and modifications
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- Investigate security incidents
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- Audit compliance requirements
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- Identify unusual access patterns
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- Review who made what changes when
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#### 8. AWS Well-Architected Security Assessment Tool MCP Server
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**Purpose**: Security assessment against Well-Architected Framework
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- Assess security posture against AWS best practices
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- Identify security gaps and vulnerabilities
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- Get security improvement recommendations
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- Review security pillar compliance
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- Generate security assessment reports
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## When to Use This Skill
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Use this skill when:
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- Optimizing AWS costs and reducing spending
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- Estimating costs before deployment
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- Monitoring application and infrastructure performance
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- Setting up observability and alerting
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- Analyzing spending patterns and trends
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- Investigating operational issues
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- Auditing AWS activity and changes
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- Assessing security posture
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- Implementing operational excellence
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## Cost Optimization Best Practices
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### Pre-Deployment Cost Estimation
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**Always estimate costs before deploying**:
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1. Use **AWS Pricing MCP** to estimate resource costs
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2. Compare pricing across different regions
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3. Evaluate alternative service options
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4. Calculate expected monthly costs
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5. Plan for scaling and growth
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**Example workflow**:
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```
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"Estimate the monthly cost of running a Lambda function with
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1 million invocations, 512MB memory, 3-second duration in us-east-1"
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```
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### Cost Analysis and Optimization
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**Regular cost reviews**:
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1. Use **Cost Explorer MCP** to analyze spending trends
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2. Identify cost anomalies and unexpected charges
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3. Review costs by service, region, and environment
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4. Compare actual vs. budgeted costs
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5. Generate cost optimization recommendations
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**Cost optimization strategies**:
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- Right-size over-provisioned resources
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- Use appropriate storage classes (S3, EBS)
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- Implement auto-scaling for dynamic workloads
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- Leverage Savings Plans and Reserved Instances
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- Delete unused resources and snapshots
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- Use cost allocation tags effectively
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### Budget Monitoring
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**Track spending against budgets**:
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1. Use **Billing and Cost Management MCP** to monitor budgets
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2. Set up budget alerts for threshold breaches
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3. Review budget utilization regularly
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4. Adjust budgets based on trends
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5. Implement cost controls and governance
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## Monitoring and Observability Best Practices
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### CloudWatch Metrics and Alarms
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**Implement comprehensive monitoring**:
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1. Use **CloudWatch MCP** to query metrics and logs
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2. Set up alarms for critical metrics:
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- CPU and memory utilization
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- Error rates and latency
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- Queue depths and processing times
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- API gateway throttling
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- Lambda errors and timeouts
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3. Create CloudWatch dashboards for visualization
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4. Use log insights for troubleshooting
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**Example alarm scenarios**:
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- Lambda error rate > 1%
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- EC2 CPU utilization > 80%
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- API Gateway 4xx/5xx error spike
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- DynamoDB throttled requests
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- ECS task failures
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### Application Performance Monitoring
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**Monitor application health**:
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1. Use **CloudWatch Application Signals MCP** for APM
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2. Track service-level objectives (SLOs)
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3. Monitor application dependencies
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4. Identify performance bottlenecks
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5. Set up distributed tracing
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### Container and Kubernetes Monitoring
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**For containerized workloads**:
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1. Use **AWS Managed Prometheus MCP** for metrics
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2. Monitor container resource utilization
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3. Track pod and node health
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4. Create PromQL queries for custom metrics
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5. Set up alerts for container anomalies
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## Audit and Security Best Practices
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### CloudTrail Activity Analysis
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**Audit AWS activity**:
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1. Use **CloudTrail MCP** to analyze API activity
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2. Track who made changes to resources
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3. Investigate security incidents
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4. Monitor for suspicious activity patterns
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5. Audit compliance with policies
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**Common audit scenarios**:
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- "Who deleted this S3 bucket?"
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- "Show all IAM role changes in the last 24 hours"
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- "List failed login attempts"
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- "Find all actions by a specific user"
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- "Track modifications to security groups"
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### Security Assessment
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**Regular security reviews**:
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1. Use **Well-Architected Security Assessment MCP**
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2. Assess security posture against best practices
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3. Identify security gaps and vulnerabilities
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4. Implement recommended security improvements
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5. Document security compliance
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**Security assessment areas**:
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- Identity and Access Management (IAM)
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- Detective controls and monitoring
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- Infrastructure protection
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- Data protection and encryption
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- Incident response preparedness
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## Using MCP Servers Effectively
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### Cost Analysis Workflow
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1. **Pre-deployment**: Use Pricing MCP to estimate costs
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2. **Post-deployment**: Use Billing MCP to track actual spending
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3. **Analysis**: Use Cost Explorer MCP for detailed cost analysis
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4. **Optimization**: Implement recommendations from Cost Explorer
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### Monitoring Workflow
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1. **Setup**: Configure CloudWatch metrics and alarms
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2. **Monitor**: Use CloudWatch MCP to track key metrics
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3. **Analyze**: Use Application Signals for APM insights
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4. **Troubleshoot**: Query CloudWatch Logs for issue resolution
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### Security Workflow
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1. **Audit**: Use CloudTrail MCP to review activity
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2. **Assess**: Use Well-Architected Security Assessment
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3. **Remediate**: Implement security recommendations
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4. **Monitor**: Track security events via CloudWatch
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### MCP Usage Best Practices
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1. **Cost Awareness**: Check pricing before deploying resources
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2. **Proactive Monitoring**: Set up alarms for critical metrics
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3. **Regular Reviews**: Analyze costs and performance weekly
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4. **Audit Trails**: Review CloudTrail logs for compliance
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5. **Security First**: Run security assessments regularly
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6. **Optimize Continuously**: Act on cost and performance recommendations
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## Operational Excellence Guidelines
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### Cost Optimization
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- **Tag Everything**: Use consistent cost allocation tags
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- **Review Monthly**: Analyze spending trends and anomalies
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- **Right-size**: Match resources to actual usage
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- **Automate**: Use auto-scaling and scheduling
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- **Monitor Budgets**: Set alerts for cost overruns
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### Monitoring and Alerting
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- **Critical Metrics**: Alert on business-critical metrics
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- **Noise Reduction**: Fine-tune thresholds to reduce false positives
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- **Actionable Alerts**: Ensure alerts have clear remediation steps
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- **Dashboard Visibility**: Create dashboards for key stakeholders
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- **Log Retention**: Balance cost and compliance needs
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### Security and Compliance
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- **Least Privilege**: Grant minimum required permissions
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- **Audit Regularly**: Review CloudTrail logs for anomalies
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- **Encrypt Data**: Use encryption at rest and in transit
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- **Assess Continuously**: Run security assessments frequently
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- **Incident Response**: Have procedures for security events
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## Additional Resources
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For detailed operational patterns and best practices, refer to the comprehensive reference:
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**File**: `references/operations-patterns.md`
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This reference includes:
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- Cost optimization strategies
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- Monitoring and alerting patterns
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- Observability best practices
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- Security and compliance guidelines
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- Troubleshooting workflows
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## CloudWatch Alarms Reference
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**File**: `references/cloudwatch-alarms.md`
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Common alarm configurations for:
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- Lambda functions
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- EC2 instances
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- RDS databases
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- DynamoDB tables
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- API Gateway
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- ECS services
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- Application Load Balancers
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