Kubernetes Platform as a Service in the public cloud

De Novo's Kubernetes as a Service (KaaS) is a modern platform for orchestrating industrial-grade Kubernetes clusters in the public cloud.

The basis of KaaS is the technological stack of VMware Tanzu Kubernetes Grid (TKG) and Cloud Director Container Services Extension, which allows you to manage the full life cycle of K8s clusters directly from the graphical interface of the cloud operational portal of the Cloud Director or through the vCD API (using, for example, terraform). KaaS seamlessly coexists and integrates with "conventional" (IaaS) virtual data centers in Cloud Director.

The functionality and usability of KaaS is similar to "managed Kubernetes" class services from hyperscalers (AWS Elastic Kubernetes Services, Google Kubernetes Engine, MS Azure Kubernetes Services).

Kubernetes Platform as a Service in the public cloud

When KaaS is a good solution

You are planning a transformation

from architecture, which you had 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.

You use Kubernetes from Google/AWS/Azure,

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

We 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.

You want to reduce unproductive workload

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

You want to reduce unproductive workload

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

Key values of KaaS

A distribution of unmodified Kubernetes (no proprietary, no vendor lock), prepared, verified, signed and kept up to date by VMware. Tanzu Kubernetes Grid is certified for interoperability by the Cloud Native Computing Foundation (CNCF). The procedure for updating K8s clusters is fully automated and is performed without stopping services (rolling upgrade).

Deep and core integration with the basic IaaS infrastructure. This allows you to consume its resources (auth, computing, storage, network) as efficiently as possible (without unnecessary software layers) and standard (CSI, CNI, CPI, GPU-operator) means without the need to know the details of its construction.

Commercial "production grade support" for the entire technology stack - from hardware and hypervisor to Kubernetes and related open software from De Novo and VMware. De Novo is a member of the Cloud Native Computing Foundation (CNCF) association and, as proof of its high level of expertise in Kubernetes technologies, is a Kubernetes Certified Service Provider.

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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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