Auto increate CPU and MEMORY

Hey, @alif

Autoscaling is available with our Kubernetes Cluster.

https://docs.digitalocean.com/products/kubernetes/how-to/autoscale/

If you would like to use a Loudbalancer cluster setup, this can be achieved manually as well. You’ll need to setup monitoring to track metrics and alerts for CPU, Memory and Disk space usage. Based on the metrics you can use DigitalOcean’s APIs to spin up additional droplets and ad them to the load balancer cluster.

Set up your own metrics/alert listeners to monitor the CPU, memory and disk space, then you can use DigitalOcean APIs to spin up additional servers and add them to the DO load balancer.

https://www.digitalocean.com/products/load-balancer

Hope that this helps!

Hi there,

For a scenario like yours, where the workload can fluctuate significantly, leveraging the capabilities of cloud infrastructure can be particularly beneficial.

One excellent option you could consider is the DigitalOcean Managed Kubernetes service. Kubernetes, by its very nature, is designed to handle such use cases where you need to automatically scale your resources up or down based on the application’s needs. With DigitalOcean’s managed service, you get the benefit of not having to manage the Kubernetes cluster’s underlying infrastructure yourself. You can define resource limits and requests for your containers, and Kubernetes will automatically adjust the number of pods running based on these definitions and the actual usage. This means when your Selenium instances need to scale up due to increased workload, Kubernetes can handle this scaling automaticallyL

https://docs.digitalocean.com/products/kubernetes/how-to/autoscale/

Another approach is to use DigitalOcean Droplets with some custom automation. You can utilize doctl, DigitalOcean’s command-line tool, to programmatically manage your Droplets. With this setup, you could write a script that monitors your application’s resource usage and, when necessary, either spins up additional Droplets or resizes existing ones to meet your application’s demands. This approach gives you a bit more control over the scaling process and might be more suited to specific needs that can’t be as easily addressed with Kubernetes. You can also add a Load Balancer to distribute the traffic between the newly created Droplets:

https://docs.digitalocean.com/products/networking/load-balancers/

Both these solutions offer the flexibility and scalability you need for your Selenium application, especially during those critical times when visa slot openings are detected, and you need to scale up your instances rapidly. It’s just a matter of choosing which approach best fits your operational preferences and the specific requirements of your application.

Hope that this helps!

Best,

Bobby

Heya @alif,

For that to happen, I’ll recommend Kubernetes

https://www.digitalocean.com/products/kubernetes

DigitalOcean Kubernetes provides a Cluster Autoscaler (CA) that automatically adjusts the size of a Kubernetes cluster by adding or removing nodes based on the cluster’s capacity to schedule pods.

You can enable autoscaling with minimum and maximum cluster sizes either when you create a cluster or enable it later. You can use the DigitalOcean Control Panel or doctl, the DigitalOcean command-line tool for autoscaling.

More on that here:

https://docs.digitalocean.com/products/kubernetes/how-to/autoscale/