Kublr updates to 1.11

Kublr’s version 1.11 brings new automation and control improvements for deploying Kubernetes clusters in multiple environments. In the cloud, Kublr provides fine-grained controls that enable deployment of Kubernetes on top of existing infrastructures. Customers in highly regulated industries have asked for the ability to deploy Kubernetes on top of existing virtual networks or VPCs with existing storage accounts, resource groups, security groups, and subnets. The new release provides this ability out-of-the-box.
 
For bare metal environments, the Kublr control plane can automatically provision underlying software and Kubernetes components on top of an existing operating system.
 
For automating Kubernetes deployments on top of VMware, whether on-premise or in cloud-hosted environments, Kublr is developing integrations to VCloud Director and VSphere. Available in technical preview now with the beta release in January 2019, Kublr will now offer cloud-like automation capabilities on top of VMware.
 
“We are constantly learning from enterprises about their struggles with their Kubernetes deployments and operations,” explained Slava Koltovich, CEO of Kublr. “By enhancing automation and control for Kubernetes deployments on multiple infrastructures, Kublr continues to deliver on the promise of a single enterprise class solution for running Kubernetes anywhere. The Kublr platform already offers the most advanced centralized logging and monitoring capabilities of any solution on the market, enabling IT teams to manage their Kubernetes deployments from a single pane of glass. This is particularly valuable for large enterprises who generally have very heterogeneous environments.” Kublr also provides advanced capabilities like custom cluster creation, “Spaces” and RBAC, and an API for advanced use cases.
 
Earlier this year, Kublr became a Kubernetes Certified Service Provider (KCSP) and passed the Kubernetes Conformance test for Kubernetes v1.11. The Kublr Platform has been conformant and certified for k8s  v.1.9 and v.1.10 . The Kublr team works continually to support k8s newest versions.