VMware announced the general availability of VMware vSphere 7, the biggest evolution of vSphere in over a decade.
Agile Stacks announced the launch of KubeFlex, a new cloud-native software platform enabling zero-touch Kubernetes deployments in data centers and at the edge.
The first release of KubeFlex supports bare metal, VMware, and Kernel-based Virtual Machine (KVM) environments. It complements the Agile Stacks platform, which supports Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and RedHat OpenShift. Together, these offerings give enterprise customers the power and flexibility to leverage some of the most widely adopted platforms for modern applications; accelerate their software delivery; and simplify the management of public cloud, on-premises, or hybrid deployments.
Agile Stacks KubeFlex enables fully automated deployments of Kubernetes clusters on both bare metal and virtualized infrastructure in multiple data centers and edge locations. IT organizations can now replace manual onsite operations with fully automated remote deployments and upgrades. Agile Stacks also provides a catalog of supported applications and stacks for DevOps and machine learning (ML) on Kubernetes. By extending Agile Stacks SuperHub with KubeFlex, enterprises can now easily develop software products with built-in multi-cloud support that deploy, run, and integrate with applications on any infrastructure.
KubeFlex uniquely meets the data center and edge-computing demands of fast-moving enterprises by providing the ability to deploy zero-touch Kubernetes clusters in completely uninitialized machines. By eliminating the need for operating system or hypervisor installations, KubeFlex empowers organizations to accelerate the speed of their application deployments.
Additionally, enterprises can now remotely manage clusters in both data centers and edge-based use cases. As KubeFlex-provisioned clusters come online, they automatically synchronize with the Agile Stacks SuperHub automation hub, enabling IT organizations to quickly and easily create and manage multiple consistent, controlled, and secure deployments of their preferred application development and operation environments.
Kubernetes is the leading platform for automating the deployment and scaling of containerized applications. However, deploying a Kubernetes cluster is just the tip of the iceberg. The bulk of the undifferentiated heavy lifting is in achieving full-stack automation for databases, machine learning, monitoring, data management, continuous delivery, security, and other core functions. The Agile Stacks automation platform enables organizations to standardize and automate their IT infrastructure. By combining DevOps-first and GitOps techniques with Agile Stacks application development and deployment, enterprise IT teams can reduce their costs, increase application velocity, and improve their agility and efficiency.
KubeFlex incorporates the Agile Stacks automation functionality into an end-to-end solution for on-premises deployments that does not require significant engineering work. Using KubeFlex, enterprises can now automatically deploy updated application containers in data centers or at the edge in a fully automated way. Additionally, with KubeFlex, enterprises can apply the DevOps cattle model favored by the Kubernetes community to both servers and entire clusters in order to speed their application deployments.
“The majority of enterprises today have applications and workflows deployed across a range of on-premises, private cloud, and public cloud environments. The launch of KubeFlex is the culmination of several years of intense development by a talented team of expert software developers, network engineers, and infrastructure automation specialists committed to solving this challenge,” said Igor Mameshin, CTO of Agile Stacks. “Now with our KubeFlex and Agile Stacks platforms, companies can deploy the same composable and portable stacks of infrastructure services and applications to any Kubernetes environment, across cloud providers, private data centers, and at the edge.”