News Coverage

Platform9 and Mavenir revealed today that Platform9’s software-as-a-service (SaaS) platform for managing Kubernetes environments is being extended to manage container network functions (CNFs) deployed on Mavenir’s network infrastructure.

Newest updates offer unmatched flexibility through the industry’s first multi-version SaaS managed Kubernetes platform, one-click cluster creation, and effortless observability and logging for accelerated troubleshooting.

Bare metal is making a comeback, and Intel says its chip-based confidential computing fits better than VM-based alternatives. And in December, Platform9 announced what it billed as the first cloud-ready, fully managed bare metal solution, allowing data centers to transform their physical servers into bare-metal clouds.

Find out why boredom can be a good thing! The New Stack livestream interview with Platform9’s Madhura Maskasky discussing system reliability.

Platform9, a managed Kubernetes services provider, has teamed up with MayaData to make it easier to access persistent data on Kubernetes clusters. Platform9 has also added a Platform9 Managed Bare Metal service for remote provisioning of physical servers via its software-as-a-service (SaaS) management console.

Platform9’s Managed Bare Metal provides a SaaS management plane and bare metal controller that remotely manages and automates the lifecycle of bare metal to flexibly deploy any workload anywhere at a moment’s notice: Kubernetes, databases, HPC, virtual machines. New offering powers ITOps, DevOps, and SRE teams with highest application performance, effortless scaling, accelerated private cloud deployment, and complete control over edge deployments.

Platform9 unveiled the cloud ready, fully managed bare metal solution: Platform9 Managed Bare Metal. Now, IT teams can transform their installed physical servers into bare metal clouds, leveraging the API-driven automation and simplicity of Platform9’s SaaS managed experience and bare metal controller.

MayaData and Platform9 are collaborating on the deployment and operation of performance-sensitive stateful workloads on Kubernetes.