The simple way to manage container workloads
Using Kubernetes unlocks a world of potential. However, the implementation and maintenance, management, constant updates, and general monitoring are task-intensive and complex.
In order to get the best out of Kubernetes, it will need its own management.
Managed Kubernetes brings K8s to life
Security Fixes
Automatic updates of security fixes
Versioning & Upgrade Management
Version and upgrade provisioning
Top Availability
Highly-available and geo-redundant control plane
Admin API Access
Full cluster admin-level access to Kubernetes API
Fully integrated persistent storage
Using the default CSI-based IONOS by 1&1 StorageClass, running stateful applications is as easy as running a simple stateless web server. Persistent volumes (PV) are automatically created through a persistent volume claim (PVC) and attached to your worker nodes running your pods.
Designed to be fault tolerant, your volume will even be migrated in case of a node failure. Based on the double redundant storage architecture of our Compute Engine, persistent storage is not a source of frustration with a IONOS by 1&1 Managed Kubernetes cluster.
High-resilience infrastructure
IONOS by 1&1 Managed Kubernetes clusters support multiple node pools spread across numerous data centers. Geo-redundant distribution of pods and service create a highly fault-tolerant architecture and guarantees the highest availability of a cluster.
Since the control plane is also designed to be highly available and geo-redundant, a cluster survives — even in the event of total data center failure.
Visual cluster and node pool management
Not only can Managed Kubernetes be comfortably administered through the Kubernetes API, it is also an integral part of the IONOS Compute Engine Data Center Designer (DCD). Using the DCD you can create clusters, create node pools or delete them directly — all from the graphical user interface of the IONOS Compute Engine.
Integration within the DCD rounds out your Kubernetes deployment options in the IONOS Compute Engine environment and makes it possible to get an overview of the existing Managed Kubernetes Clusters at any time.
Satisfied Managed Kubernetes Customers
Easy integration of cloud-native solutions
Free up valuable resources for your DevOps team
Managed Kubernetes is a free service. This includes deployment, admin, security and updating of the geo-redundant Kubernetes control plane you design, as well as the maintenance and updates to the system environment of the worker nodes.
You purchase only the infrastructure you need, such as number of cores, RAM, storage and traffic, according to usage you require. The control plane is executed on its own (virtual) machine instances. There are no costs for the master node.
Your container’s computing and storage resources
Choose between AMD & Intel® Core™
Choose between HDD & SSD
Free incoming & internal traffic
Provision and deploy K8s clusters in a matter of minutes
Quick registration
Simple setup
Ready to go
Managed Kubernetes
IONOS, Amazon Web Services (AWS), Microsoft Azure, the Google Cloud Platform and other cloud providers offer Kubernetes-as-a-Service. However, their aims and approaches sometimes vary considerably. The quality of service and the platform's stability, performance, and active participation within the cloud-native community are all distinguishing factors.
IONOS focuses on managed services that simplify the use of software containers and Kubernetes as an orchestration tool. The IONOS Compute Engine prides itself in particular on its proximity to the end-user. The user's feedback is continuously incorporated into Managed Kubernetes' further development.
A central component of Managed Kubernetes is visual cluster and node pool management. On the one hand, Managed Kubernetes can be managed conveniently via the Kubernetes API, but it is also firmly integrated into IONOS Compute Engine's Data Center Designer (DCD). DCD enables you to create Kubernetes clusters and node pools, or delete them directly from the IONOS Compute Engine graphical user interface. The master node remains geographically redundant, while the customer decides where to set up their node pools.
The DCD integration perfectly rounds off Kubernetes' possible applications in the IONOS Compute Engine environment. It enables a quick overview of the existing Managed Kubernetes clusters at any time – both graphically in the DCD and via a large number of API calls.
Exciting new functions are constantly being introduced. In the future, users will be able to…
- select versions of Kubernetes directly in the Data Center Designer (DCD) and make them available for clusters
- use an upgrade button to install the latest version of Kubernetes
- set a preferred time window for patch version updates (exception: urgent security updates cannot be delayed)
- carry out all the above settings either by cluster or by node pool
- replace non-functioning nodes via Auto Repair
IONOS offers Managed Kubernetes as a free service. You only pay for computing and storage resources that the Kubernetes nodes need for containers. Thanks to the transparent pricing structure of IONOS Compute Engine, there are only four price points:
- Computing: cores from $0.0240 per hour
- RAM: $0.0071 per GB per hour
- Block Storage: from $0.0533 per GB per 30 days (choose from HDD or SSD)
- Traffic: from $0.09 per GB outgoing data transfer
Kubernetes is a great tool. IONOS makes it much simpler to use by taking on time-consuming processes such as updates.
Managed Kubernetes from IONOS offers you…
- stable and reliable container management
- more flexibility and agility for faster feature roll-outs, services and fixes
- easy scalability and adjustments in real-time
- resources conservation, since less specialized personnel is required
- more efficiency and less effort because there are no proprietary, labor-intensive add-ons
- a constant feedback process, making Kubernetes even more useful for you
- Kubernetes clusters, which can be created either via API or set up with our graphical Data Center Designer (DCD) and clearly displayed
- self-repairing nodes and extensive API calls for a comprehensive overview