AI Agents for Platform Engineers
Senior/Staff engineer responsible for AI infrastructure
99.9% agent uptime at scale
The problem
Running AI agents in production at enterprise scale means monitoring health, handling failures, controlling cost, and meeting SLAs — without a unified control plane it's a patchwork of scripts and dashboards.
How AIZona solves it
Manage agents and teams from one operations dashboard. Real-time health checks auto-restart failed agents (max 3/hour), configurable LLM routing strategies optimize cost and latency, and WebSocket log streaming feeds your existing observability stack.
The agent team
Platform Ops
Unified fleet health + control plane
HealerBot
Auto-restarts failed agents (max 3/hour)
LLM Router
Cost/latency/quality routing strategies
What you get
- Real-time agent health monitoring with auto-restart
- LLM Router with cost/latency/quality/balanced/fallback strategies
- WebSocket log streaming to Grafana
- Alert forwarding to PagerDuty via webhooks
Ready to get started?
Spin up your workspace with 100 free AIZ credits — no credit card required.