Autoscaling framework for Kubernetes Deployments in the Cloud - MiCADOscale 0.7.2 has been officially released! It is available through our GitHub repository & documentation service, to configure and deploy MiCADO accordingly to your needs.
MiCADOscale 0.7.2 supports autoscaling at two levels. At the virtual machine (VM) level, a built-in Kubernetes cluster is dynamically extended or reduced by adding/removing cloud virtual machines. At Kubernetes level, the number of replicas tied to a specific Kubernetes Deployment can be increased/decreased.
Kubernetes is an open-source container orchestration system for automating application deployment, scaling, and management. It was originally designed by Google and is now maintained by the Cloud Native Computing Foundation.
The new version of MiCADO fixes some raised issues while adding new functionality to the framework. In the current release, the status of the system can be inspected through the following ways: REST API provides interface for submission, update and list functionalities over applications. The dashboard provides three graphical views to inspect the VMs and Kubernetes Deployments. They are the Kubernetes Dashboard, Grafana and Prometheus. Finally, advanced users may find the logs of the MiCADO core services useful on MiCADO master.
Project COLA
2017-2019
Funded by
MiCADOscale has been developed in the course of Project COLA.
After the end of Project COLA, MiCADOscale is still been actively developed by the original developers from the University of Westminster and SZTAKI. If you want to get in touch with our development team, feel free to contact us.
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