Proactive Management helps to boost performance and reduce cost in moving to Public Clouds
Microservices, Kubernetes, and MultiClouds are winning. They also create issues that need to be addressed for universal acceptance.
Cloud helps free the developers and data scientists from operating in the legacy IT infrastructure so they can focus on developing quickly, deploying easily, and adding values to differentiate the company from others. Life was easier in the days when there is only one cloud service provider. Nowadays, the developers need to release on other public clouds, dealing with the difference among clouds, and it becomes a big hassle. Microservices are wining, and Kubernetes is wining. However, as putting together release strategies, building microservices, and support Kubernetes services on MultiClouds becomes a norm, the developers are joggling with the deployment, and they need a service, rather than expensive software, to simplify the task.
Anthony Lye of NetApp once said, “We Loved Stackpoint.io So Much, We Had to Buy the Company!” StackPointCloud takes the complexity out of the deployment of Kubernetes to MultiClouds, including the upcoming NetApp HCI private cloud offering. We consider this a great solution to the Day 1 operation of moving to the Cloud.
StackPointCloud is now NetApp Kubernetes Services (NKS). It helps the developer to do more development than deployment. Besides, NKS later becomes a platform that helps developers agnostically manage application life cycles on different clouds, Helm charts, and K8s services (AKS, GKS, EKS). With the provision of the certified Cloud Native Solutions, the user can now extend the functions of the cluster in a way similar to you adding Apps to your iPhones to customize and enhance the user experiences.
This platform can utilize Machine Learning technology to the Operations of the Kubernetes and containerized applications in the multicloud. Although we are enjoying the benefits of microservice-based applications when comparing to the original, monolithic applications, the complexity of managing the communications among the pods in the clusters deployed is becoming prohibitively high. Providing the specifications for the scalability of the pods and clusters by human input offsets the benefits of the autoscaling. Worst yet, the conventional wisdom inherited from the reactive management, taking action only to handle unplanned outage or unexpected performance variations, increases cost and impede the performance.
Together with NKS, Federator.ai Boosts Performance, Reduces Cost of Operation, and Enables Planning