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CloudThinker CloudThinker is a Multi-Agents (MAS) that automates cloud operations through specialized AI agents. Five expert agents—each with deep domain knowledge—work autonomously and collaboratively to optimize cost, security, performance, and reliability across AWS, Azure, and GCP.
@alex analyze EC2 instances with <20% CPU utilization over 30 days
@oliver audit security groups for public access on database ports
@tony #dashboard database performance metrics for production cluster
@kai optimize pod resource allocation across all namespaces
@anna coordinate quarterly infrastructure review with all agents

The Agents

Five specialized agents, each an expert in their domain:
AgentRolePrimary Focus
AlexCloud EngineerCost optimization, infrastructure, multi-cloud architecture
OliverSecurity ProfessionalCompliance, vulnerabilities, threat detection, IAM
TonyDatabase EngineerQuery optimization, performance tuning, data analytics
KaiKubernetes EngineerContainer orchestration, cluster optimization, workloads
AnnaGeneral ManagerMulti-agent coordination, complex projects, executive reporting

Deep Dive: Agents

Understand agent capabilities, collaboration patterns, and configuration

Core Capabilities

Infrastructure Intelligence

Discover resources, run Well-Architected assessments, and execute recommendations automatically

Continuous Optimization

Agents monitor, analyze, and optimize 24/7 without manual intervention

Multi-Cloud Unified

Single interface for AWS, Azure, and GCP with consistent operations across providers

How It Works

1

Connect

Link your cloud accounts with read-only credentials. Agents discover your infrastructure automatically.
2

Prompt

Use natural language with @agent mentions and #tool commands to request analysis or actions.
3

Execute

Agents analyze, recommend, and—with your approval—implement optimizations autonomously.

Platform Architecture

CloudThinker Platform Architecture Three layers power CloudThinker:
  • Application Layer: Console, API, SDK, Slack integration
  • MAS Orchestration: Agents, Knowledge Base, Connectors, Perception Tools
  • Infrastructure Layer: Cloud providers, databases, Kubernetes clusters

What You Can Do

@alex analyze spending trends over last quarter
@alex #recommend reserved instance purchases for stable workloads
@alex identify unattached volumes and unused elastic IPs
Typical outcome: 30-40% cost reduction with automated implementation plans

Access Methods


Next Steps