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What is IONOS Cloud Managed Kubernetes?

IONOS Cloud Managed Kubernetes is a powerful platform designed for the effective management of containerized applications, providing a fully automated Kubernetes environment that simplifies the deployment, scaling, and administration of container workloads. With this solution, users can quickly set up and manage Kubernetes clusters and node pools without needing to deal with the intricacies of the underlying infrastructure. The platform supports the automated creation of clusters on virtual servers, allowing developers to tailor hardware specifications—such as CPU type, the quantity of CPUs per node, RAM, storage capacity, and overall performance—to meet specific workload requirements. Built for distributed production environments, it features integrated persistent storage to ensure reliable operation for both stateless applications and stateful services. Additionally, the auto-scaling capability dynamically adjusts resources in response to demand, guaranteeing stable performance and availability during peak traffic while preventing unnecessary overprovisioning. This streamlined orchestration not only boosts operational efficiency but also enables teams to direct their efforts more towards innovation rather than dealing with infrastructure challenges, ultimately enhancing productivity and responsiveness in a fast-paced digital landscape.

What is HPE Ezmeral?

Administer, supervise, manage, and protect the applications, data, and IT assets crucial to your organization, extending from edge environments to the cloud. HPE Ezmeral accelerates digital transformation initiatives by shifting focus and resources from routine IT maintenance to innovative pursuits. Revamp your applications, enhance operational efficiency, and utilize data to move from mere insights to significant actions. Speed up your value realization by deploying Kubernetes on a large scale, offering integrated persistent data storage that facilitates the modernization of applications across bare metal, virtual machines, in your data center, on any cloud, or at the edge. By systematizing the extensive process of building data pipelines, you can derive insights more swiftly. Inject DevOps flexibility into the machine learning lifecycle while providing a unified data architecture. Boost efficiency and responsiveness in IT operations through automation and advanced artificial intelligence, ensuring strong security and governance that reduce risks and decrease costs. The HPE Ezmeral Container Platform delivers a powerful, enterprise-level solution for scalable Kubernetes deployment, catering to a wide variety of use cases and business requirements. This all-encompassing strategy not only enhances operational productivity but also equips your organization for ongoing growth and future innovation opportunities, ensuring long-term success in a rapidly evolving digital landscape.

Media

Media

Integrations Supported

Kubernetes
IONOS

Integrations Supported

Kubernetes
Apache Spark
Dataiku
Dremio
Elastic Cloud
GitLab
Google Cloud Security Command Center
H2O.ai
HPE Ezmeral ML OPS
Lightbend
NVIDIA Triton Inference Server
Runecast
Scality
Starburst Enterprise
Sysdig Secure
TensorFlow
Unravel
gopaddle

API Availability

Has API

API Availability

Pricing Information

$0.05 per hour
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

IONOS

Date Founded

1988

Company Location

Germany

Company Website

cloud.ionos.com/managed/kubernetes

Company Facts

Organization Name

Hewlett Packard Enterprise

Date Founded

2015

Company Location

United States

Company Website

www.hpe.com/us/en/ezmeral.html

Categories and Features

Categories and Features

Container Management

Not specified

Data Fabric

Not specified

Data Science

Not specified

IT Management

Not specified

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