Scale on Northflank

You can scale your resources on Northflank horizontally and vertically. Increase the resources available to individual instances, or increase the amount of instances for your deployments.

Check the metrics for your addon replicas, builds, and deployments in order to identify bottlenecks which may be impacting your resources.

See Northflank pricing plans for compute plans available on Northflank's managed cloud, as well as storage and network egress costs.

You can increase the available vCPU and memory allocated to each instance of a service.

You can scale vertically by increasing the available vCPU and memory allocated to each instance of a deployment.

You can select a compute plan for Northflank services, builds, jobs, databases, and other addons.

You can scale horizontally and vertically on Northflank with no unexpected spend.

You can increase the number of instances running each deployment, or replicas of your databases, and increase the available computing power, memory, and storage space allocated to each instance.

You can also configure autoscaling to handle spikes in activity - never suffer from a loss of service from high traffic or intense workloads, while avoiding the cost of permanently running the number of instances required at your peak usage.

You can check the metrics for your builds or running instances in order to identify bottlenecks which may be impacting your service.

You can configure autoscaling to handle spikes in activity for your continuous deployments.

This can help you avoid a loss of service from high traffic or unexpected spikes in usage, without the cost of permanently running the number of instances required at peak usage.

You can configure service and addon resources within a template, and update your infrastructure by running a template or pushing to git.

You can add and scale node pools of different node types, and enable autoscaling for clusters deployed in your own cloud account. You can also create custom plans for your team to deploy workloads with vCPU and memory resources that you specify.