“The days of single cloud deployments are gone”, according to David Linthicum, Chief Cloud Strategy Officer at Deloitte and I couldn’t agree more: Flexera’s 2021 State of the Cloud Report states that 93% of businesses are already moving to a multi-cloud architecture.
Various Kubernetes objects like Pods, Deployments, Services etc. were created on a Cluster without structuring in previous parts of this series. If you continue this process, these objects will grow exponentially and become challenging to maintain at some point.
Organizations that successfully implement cloud native technologies often perform better than their peers. Cloud native is not new, but it has certainly gained popularity due to the multitude of success stories that are out there today.
We are thrilled to announce that the MELLODDY project has met its year two objective of improving the performance of its federated predictive model to accelerate drug discovery.
More than 5 years ago, when Kubernetes was nothing more than a promising technology underdog, we started Kubermatic with barely a handful of people working out of Julian’s living room. Since then we’ve been bootstrapping and growing Kubermatic to more than 80 people worldwide.
If you are seeking to adopt a hybrid-cloud strategy, you might want to evaluate alternatives to OpenStack. Azure Stack is a commercial solution you can use to extend the Azure public cloud to the local data center. It is a common alternative to OpenStack when deploying hybrid clouds.
In the last post, we discussed Kubernetes Autoscaler in KKP as well as its usage. We also showed you how to install Kubernetes Autoscaler on a KKP Cluster. Now let’s take it a step further and show you how to annotate the MachineDeployments which you want the Autoscaler to recognize.
In a nutshell, it’s a component that automatically adjusts the size of a Kubernetes Cluster so that all pods have a place to run and there are no unneeded nodes.