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Orcaopta is an autonomous cloud‑SRE system designed to monitor, analyze, and heal complex multi‑cloud environments. It integrates infrastructure audits, machine learning, reinforcement learning, and AI‑driven reasoning to provide continuous reliability, security, and optimization across:
- OpenStack (compute, networking, storage)
- OVN / Neutron (ACLs, logical switches, routers)
- Ceph (pools, health, usage)
- Kubernetes (RBAC, PodSecurity, NetworkPolicies)
- Terraform (drift, deletes, public exposure)
- ML models (anomaly detection, forecasting, autoscaling)
- RL agents (autoscaling, resource optimization)
Orcaopta builds a unified cloud graph, analyzes global cloud state, generates AI healing plans, and executes them through an autonomous self‑healing controller loop.
This platform is built for environments where reliability, automation, and intelligence are essential.
- Unified multi‑cloud graph
- Autonomous healing controller
- AI‑generated remediation plans
- Multi‑cloud audits
- ML anomaly detection & forecasting
- RL autoscaling & optimization
- Streamlit dashboard
- MCP server for AI agent integration
- Architecture
- Unified Cloud Graph
- Self‑Healing System
- Audits & Remediation
- Machine Learning & RL
- Installation & Configuration