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AIOps & Agentic Workflow

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Architect distributed AI systems with DACA.

Software Engineering#kubernetes#governance#event-driven#distributed-systems#ai-architecture#dapr#cloud-edge
AuthorTehminanaz
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Design and implement distributed AI agent architectures using DACA principles to enable planetary-scale, resilient, and modular AI systems.

Core Features & Use Cases

  • DACA Principles (Decouple, Distribute, Decentralize) to architect scalable AI systems.
  • Kubernetes-based deployment with Dapr integration for robust microservices and event-driven communication.
  • Agentic AI orchestration patterns, governance, and education pathways for large-scale deployments across cloud and edge environments.
  • Real-world use cases include planetary-scale AI agents managed across distributed teams and infrastructure.

Quick Start

Outline a high-level DACA-based architecture for a planet-scale AI agent system.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: AIOps & Agentic Workflow
Download link: https://github.com/Tehminanaz/Evolution-of-Todo/archive/main.zip#aiops-agentic-workflow

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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