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Documentation Index

Fetch the complete documentation index at: https://docs.monk.io/llms.txt

Use this file to discover all available pages before exploring further.

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Scale Infrastructure

add 2 more machines
Add VMs to your deployment. → Scaling

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Scale Services

scale the API server up
Increase replicas for a service (workload autoscaling handles this automatically, but you can manually adjust).

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Scale Database

increase the database instance to 16GB RAM
Resize database resources.

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Adjust Worker Count

increase the worker count to 5
Scale background workers.

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Scale Down

remove the extra VMs, traffic is back to normal
Remove resources when load decreases.

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Get Recommendations

should I scale up for this traffic?
Ask Monk for scaling recommendations.

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Cost Impact

how much will it cost to add 2 more instances?
Estimate cost before scaling. → Cost Tracking

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What Monk Does

Before scaling:
  • Shows current setup
  • Recommends instance types/sizes
  • Estimates cost impact
  • Asks for confirmation
During scaling:
  • Provisions new resources
  • Deploys containers
  • Updates load balancers
  • Zero downtime
Cloud scaling executed by monk

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Automatic Workload Scaling

Monk’s algorithmic autoscaler handles container scaling automatically:
  • Scales up when CPU/memory is high
  • Scales down when load decreases
  • No manual intervention needed
You manually scale:
  • Infrastructure (VMs)
  • Databases
  • Service settings

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Next Steps