Multi-Cloud Infrastructure Diagnostics & Optimization
Diagnose and optimize multi-cloud infrastructure with AI-powered analysis
What You Can Do
Analyze logs, configurations, and metrics across AWS, Azure, and GCP in minutes to identify performance bottlenecks, security vulnerabilities, and cost optimization opportunities. Claude systematically reviews your cloud infrastructure, queries vendor APIs, correlates multi-cloud data, and provides actionable remediation recommendations tailored to your specific environment.
Features
Parse CloudWatch, Azure Monitor, and Cloud Logging to spot errors, latency spikes, and unusual patterns
Identify unused resources, over-provisioned instances, and reserved instance opportunities across clouds
Check infrastructure against security best practices and industry standards
Visualize dependencies and relationships between resources across AWS, Azure, and GCP
Correlate metrics to pinpoint CPU, memory, network, and I/O constraints
Detect misconfigurations, exposed credentials, and compliance violations
Get step-by-step fixes for common infrastructure problems
Project spending trends and receive proactive alerts for anomalies
Example Output
Cost Analysis Report
- Identified 12 unattached EBS volumes (AWS) costing $480/month
- Found 3 idle Compute Engine instances (GCP) at $200/month
- Recommended Reserved Instance commitment: potential 40% savings on compute
- Total optimization opportunity: $2,400/year
Performance Diagnostic
- Database query latency increased 250% in region us-east-1
- Root cause: CPU throttling on RDS instance (87% utilization)
- Recommendation: Upgrade from db.t3.large to db.r6i.xlarge
- Estimated latency reduction: 60% improvement
Security Findings
- 8 security groups allow unrestricted inbound SSH (0.0.0.0/0)
- 2 S3 buckets missing encryption at rest
- Service principal over-privileged with Owner role (Azure)
- Remediation: Implement least-privilege IAM policies with provided Terraform modules
What's Included
- SKILL.md: Complete diagnostic framework with cloud API integrations and analysis workflows
- Cloud SDK Templates: Python code snippets for AWS, Azure, and GCP API calls
- Log Analysis Workflow: Step-by-step prompts to investigate infrastructure events
- Cost Optimization Checklist: Systematic review process for rightsizing and unused resources
- Configuration Audit Template: Security and compliance scanning procedures
- Remediation Playbook: Common fixes for performance, security, and cost issues
- Troubleshooting Decision Tree: Navigate diagnostic paths based on symptoms
Who It's For
- DevOps Engineers — Automate infrastructure diagnostics and apply fixes quickly
- Cloud Architects — Evaluate and optimize cloud designs across multiple providers
- SREs (Site Reliability Engineers) — Troubleshoot production incidents and prevent recurrence
- Cloud Cost Managers — Monitor spend, forecast trends, and identify savings opportunities
- Infrastructure Teams — Conduct audits, maintain compliance, and standardize configurations
Best For
- Analyzing infrastructure costs and identifying optimization opportunities
- Troubleshooting multi-cloud performance issues and latency problems
- Auditing configuration compliance and security posture
- Capacity planning and resource utilization optimization
- Automating diagnostic reports and generating remediation playbooks
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