Instance Scaling Manager for Elastic Agent Capacity
Traffic to your agent is not constant. FetchOpenClaws Instance Scaling Manager automatically adds or removes agent instances based on real-time demand. Set scaling rules based on concurrent connections, response latency, CPU usage, or time-of-day schedules to ensure your agent is always right-sized.
Audience
Operations teams and businesses with variable traffic patterns on their OpenClaw agents
Use Case
Automatically adjust agent capacity to match demand without over-provisioning or under-serving users
Workflow
4 steps · 5 checks
Workflow
- 1Set your scaling policy: metric-based (CPU, connections, latency) or schedule-based.
- 2Configure minimum and maximum instance limits to control costs.
- 3The scaling manager monitors metrics in real time and adjusts instances automatically.
- 4Review scaling events and their performance impact in the dashboard.
What You Get
- Handles 10x traffic spikes without manual intervention
- Cost savings through automatic scale-down during low-traffic periods
- Consistent response times regardless of traffic volume
- Zero over-provisioning with right-sized capacity at all times
Key Features
- Auto-scaling based on concurrent connections, CPU, memory, or response latency thresholds
- Scheduled scaling for predictable traffic patterns (business hours, campaigns, etc.)
- Scale-to-zero support for development and staging agents to minimize costs
- Configurable minimum and maximum instance limits for budget control
- Scaling event history with performance impact analysis
Common Questions
User Feedback
Feedback from teams using this tool in production.
SaaS Founder
“FetchOpenClaws got our support agent live in under a minute. No DevOps hire needed — just upload the config and deploy.”
Agent deployed to production in 60 seconds
AI Engineer
“Rolling deployments with automatic rollback mean we ship agent updates without fear. Zero-downtime updates are a game changer.”
Faster release cycles with zero-downtime deploys