Private Kubernetes Platform as a Service | HCI

HCI (Hosted Container Infrastructure) is a Kubernetes cluster orchestration platform based on VMware Tanzu Kubernetes Grid intended for DevOps and PaaS developers.

HCI provides functionality and usability across AWS Elastic Kubernetes Services, Google Kubernetes Engine, and MS Azure Kubernetes Services.

HCI is deployed on private cloud resources and has a deep and native integration with IaaS, which allows you to consume its resources efficiently (without unnecessary software layers) by standard means (CSI, CNI, K8s Operators) without the need to know the details of its construction.

The platform includes monitoring, updates and 24/7 production grade support.

Private Kubernetes Platform as a Service | HCI

WHEN IS HCI A GOOD SOLUTION?

Planning a transformation

from legacy architecture to Cloud Native and there is a need for a reliable platform that will ensure the functioning of business applications with both types of architecture at the same time

Use Kubernetes from Google/AWS/Azure

but you are not satisfied with their cost and/or level of cost predictability: unpredictable cost of Internet traffic, disk operations, etc.

Created the Kubernetes infrastructure

with an open-source component, but are not satisfied with its stability, performance and labor costs to maintain relevance, as well as the lack of commercial technical support.

Want to reduce unproductive workload

on DevOps and requirements for the level of their qualifications in the "uninteresting" layers of the technology stack: physical equipment, hypervisor virtualization, etc.

Minimize unnecessary expenses

related to planning errors and/or the need to maintain a reserve of resources in case of sudden or periodic increases in needs.

Regulatory restrictions

or corporate policies do not allow the use of public clouds and/or the storage and processing of information outside the organization's perimeter.

Download the presentation "Kubernetes Private Platform as a Service"

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HCI (Hosted Container Infrastructure) is a Kubernetes cluster orchestration platform based on VMware Tanzu Kubernetes Grid intended for DevOps and PaaS developers.

HCI provides functionality and usability across AWS Elastic Kubernetes Services, Google Kubernetes Engine, and MS Azure Kubernetes Services.

With HCI you will be able to

  • Create isolated environments (tenants), set resource consumption limits for them and provide access to them to separate DevOps and development teams.
  • Use patterns of unmodified Kubernetes and other open-source components that are prepared, verified, signed and supported (including updated) by VMware to deploy Kubernetes clusters and related services.
  • Manage Kubernetes clusters (create, configure, scale, upgrade, delete), virtual machines, networks, ingress/egress and other infrastructure objects declaratively via TanzuCLI and/or using Kubernetes Cluster API + kubectl + YAML.
  • Use persistent volumes (including read/write many) without the need to deploy additional components such as Ceph and NFS.
  • Use Harbor, Contour, MinIO, Velero, Prometeus, Graphana, FluentBit, Carvel, Sonobouy services integrated into the platform. Cert-Manager, External DNS (the list is constantly expanding).
  • Use the functionality of horizontal autoscaling of Kubernetes clusters (autoscaling) built into the platform.
  • Significantly reduce the unproductive load on DevOps due to the maximum automation of the life cycle management processes of Kubernetes clusters and the platform as a whole.
  • Get access to commercial technical support of the entire technology stack at the level of "production grade support".

Get a consultation

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Private cloud HPI is a basic platform for HCI

More about K8s as a Service and AI/ML

Watch the video: Kubernetes as a service in De Novo clouds

In the era of container development, our specialists have created several tools for convenient creation and management of container virtualization clusters based on VMware Tanzu Kubernetes Grid in De Novo clouds.

Download the presentation: Kubernetes as a service in De Novo clouds

VMware Tanzu Kubernetes Grid Kubernetes cluster orchestration platform for DevOps and developers in De Novo's private and public cloud.

Watch the video: Accelerated for AI/ML Kubernetes with NVIDIA GPU

Learn more about De Novo's high-performance tensor computing platform for AI/ML based on private and public cloud.

Download the presentation: Kubernetes accelerated for AI/ML with NVIDIA GPUs

High performance tensor computing platform for AI/ML based on private and collective cloud.

Download the presentation: ML Cloud - a convenient environment for the work of an ML engineer

The presentation provides a detailed description of the technological components of ML Cloud, their advantages and conveniences for the ML engineers.

Products for DevOps and AI/ML

ML-Cloud is a cloud platform for ML engineers

ML-Cloud is a cloud platform for ML engineers

A ready-made, user-friendly and functional ML engineer's working environment, which is deployed in an accelerated (NVIDIA GPU) for AI/ML tasks in a collective (Tensor Cloud) or private (HTI) cloud.

Tensor Cloud with NVIDIA GPUs

Tensor Cloud with NVIDIA GPUs

Kubernetes as a Service Accelerated NVIDIA H100 GPU with tensor cores to run artificial intelligence and machine learning (AI/ML) workloads.

Hosted Tensor Infrastructure

Hosted Tensor Infrastructure

AI/ML-accelerated Kubernetes with NVIDIA H100 GPUs with Tensor Cores on Hosted Private Infrastructure (HPI).

Kubernetes as a Service

Kubernetes as a Service

A modern platform for orchestrating industrial-grade Kubernetes clusters in the public cloud. The functionality and usability of KaaS is similar to managed Kubernetes services from hyperscalers.

Hosted Container Infrastructure

Hosted Container Infrastructure

PaaS platform for orchestrating Kubernetes clusters based on VMware Tanzu Kubernetes Grid in a private cloud. The functionality and usability of KaaS is similar to "managed Kubernetes" services from hyperscalers.

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