Google Compute Engine (GCE) is an Infrastructure-as-a-Service (IaaS) offering that allows users to create and run virtual machines (VMs) on Google’s infrastructure, providing scalable computing resources and various customization options.
Manage virtual machines, containers and pods in your GCE environment.
Control your spend
Manage consumption of Google compute engines with Tidal jobs.
Monitor what matters
Integrate Google Cloud activities in end-to-end business processes.
Simplify GCE management
Centralize management and control of Google scheduling tasks.
The native Google Cloud Scheduler has basic scheduling functionality and can only manage jobs within the boundaries of Google compute engines. With this adapter, Tidal replaces the Google Scheduler so you can manage those tasks centrally within your enterprise-wide processes and apply more advanced scheduling functionality.
Use Tidal jobs to bring Google compute engines online when you’re ready to run jobs in your cloud instance, and take them down when you’re not. That way, you only pay for them when you need them.
The integration provides the functionality of the Google Cloud Scheduler plus more advanced capabilities, including:
See how you can use Tidal to meet your business goals.
Google Compute Engine is a cloud-based service that lets you rent virtual machines (VMs) from Google's data centers, and therefore, run your applications and workloads without managing physical servers.
Google Compute Engine (GCE) and Kubernetes Engine (GKE) are different cloud computing services on Google Cloud. GCE offers individual virtual machines (VMs) for general computing tasks, while GKE is a managed Kubernetes platform for deploying and managing containerized applications.
The Tidal adapter for Google Cloud Compute Engine is installed as part of a standard installation of Tidal. When the installation is complete, you can create a Google Cloud Compute Engine connection. However, you must perform the steps to license and configure the adapter before you can run Google Cloud Compute Engine jobs.
Consult Tidal documentation for more information.