
HostingB2B » Managed Kubernetes
Utilize Bare-Metal support for worker nodes to enhance latency and performance.
Benefit from free, production-grade cluster management with a 99.9% SLA.
Enjoy competitive pricing for worker nodes, on par with our VMs and Bare Metal servers.
Provision your worker nodes with a single command in the HostingB2B self-service portal, API, or via Terraform.
Our Managed Kubernetes clusters support GPU worker nodes for GPU-intensive tasks such as machine learning, video processing, and gaming.
Support for Kubernetes versions 1.25, 1.26, 1.27, and 1.28.
The service continually monitors node health, automatically updating and restarting nodes as needed.
Node pools within your cluster can dynamically scale up or down automatically.
Each cluster dashboard is duplicated to ensure constant availability.
All connections between the master node and nodes within the cluster are automatically encrypted.
Your projects are shielded from DDoS attacks at the network and transport layers by default.
Receive prompt real-time assistance and high-quality technical service around the clock.
Deploying a Kubernetes cluster on Virtual Machines (VMs) involves an additional infrastructure layer—a hypervisor, which manages VMs. This hypervisor utilizes some of the physical server’s resources, such as CPU and RAM, which affects overall compute capacity.
VMs are ideal for most web applications that don’t require extreme performance levels or are not highly sensitive to latency. They offer a good balance of scalability, performance, security, and cost.
Most importantly, our round the clock Support is available for you via Live Chat, Ticket System (Email) and MS Teams.
Deploying a Kubernetes cluster on Bare Metal means you bypass the hypervisor and guest operating system, allowing containerized applications to use physical server resources directly and fully.
Bare Metal is the optimal choice for compute-intensive web applications needing high performance and low latency, though it may not offer the fastest provisioning for new worker nodes.
Find answers to some frequently asked questions about Managed Kubernetes:
A managed Kubernetes service is a cloud solution in which the Kubernetes control plane provisioning, operation, maintenance, and scaling are handled by a third-party provider, such as HostingB2B. This implies that the provider abstracts away the operational overhead from the user by managing the intricate underlying infrastructure, which includes schedulers, controllers, API servers, etcd, and master nodes.
Clients don’t have to worry about the hassles of configuring and maintaining the Kubernetes infrastructure itself; they can concentrate on deploying and managing their apps (pods and containers) within the cluster. As a result, development teams can concentrate on coding and creativity while the management load is greatly lessened.
Yes, given the difficulty of self-managing a Kubernetes cluster, managed Kubernetes is well worth the investment for the majority of enterprises implementing containerized apps. Managed Kubernetes’s value proposition is found in:
Managed Kubernetes enables companies of all sizes to take advantage of container orchestration’s power without having to deal with the high learning curve and overhead.
The allocation of accountability for the cluster’s operation is the primary distinction between self-managed and managed Kubernetes:
Self-Controlled Kubernetes: Every component of the Kubernetes cluster is your responsibility as the user, including provisioning and maintaining the worker nodes as well as the control plane (master nodes, etcd, etc.), managing security patches, upgrades, networking, storage, and troubleshooting. This calls for extensive operational work and in-depth knowledge.
Managed Kubernetes: The Kubernetes control plane is entirely under the control of the cloud provider (such as HostingB2B). They oversee its upgrades, patching, scaling, and uptime. Usually, your only responsibilities are to manage the apps (pods) that are installed on your worker nodes (though some services also handle these). Your team can concentrate on development as a result of the substantial reduction in operational complexity.
Indeed, Kubernetes is not only still relevant in 2025 and beyond, but it is also a fundamental component of contemporary IT infrastructure. Its significance is increasing due to a number of factors:
With new features and integrations, Kubernetes is developing and establishing itself as a long-term strategic foundation for cloud-native systems.
The degree of operational accountability that a service provider assumes for a Kubernetes cluster is directly related to the terms “managed” and “unmanaged cluster.”
Your team’s experience, available resources, and preference for operational control over infrastructure management outsourcing will all play a role in your decision.
Rather than referring to various software versions, the term “types of Kubernetes” usually describes the deployment and management strategies of Kubernetes clusters. The primary “types” or deployment models consist of:
These differences draw attention to different operational models that are tailored to meet the needs of various organizations and technical capacities.
The term “managed vs. unmanaged type” describes the degree of accountability and operational control in relation to Kubernetes or other infrastructure services.
Managed Type: The operational responsibility for maintaining the core infrastructure is assumed by the service provider (for example, a cloud provider like HostingB2B for Managed Kubernetes). This implies that the control plane for Kubernetes is managed by the provider, who also ensures its security, upgrades, and uptime. The user concentrates on installing apps.
Unmanaged Type: All service components must be set up, configured, monitored, maintained, and upgraded by the user. This calls for a great deal of in-house knowledge to manage both the control plane and worker nodes for Kubernetes.
Because of this distinction, organizations can select a model that fits their budget, strategic focus, and internal IT resources.
Kubernetes is an orchestration system that controls both pods and nodes; it is neither a pod nor a node.
The physical or virtual worker machine that runs your apps in a Kubernetes cluster is called a node. It includes the components required to execute workloads, such as kubelet, kube-proxy, and a container runtime (such as containerd).
The smallest deployable unit in Kubernetes is called a pod. It is an abstraction that contains one or more containers, as well as network and storage resources that are shared and a set of instructions on how to use them. Pods are planned to operate on nodes.
To guarantee that apps operate effectively and dependably, Kubernetes serves as the “brain” that plans and oversees these pods across a cluster of nodes.
Because Kubernetes is a numeronym—a word that substitutes numbers for letters—it is frequently shortened to K8s (pronounced “kates”). The “8” in this instance stands for the eight letters that separate the first “K” from the last “s” in “Kubernetes.”
For lengthy or commonly used terms, this kind of abbreviation is common in the tech sector (for instance, “i18n” for “internationalization,” where “18” represents the 18 letters that separate “i” and “n”). Its function in steering containerized applications is reflected in the name “Kubernetes,” which comes from Greek and means “helmsman” or “pilot.”
“Different kinds of Kubernetes” typically refers to different Kubernetes deployment models or distributions rather than core architectural differences. The main types consist of:
Because of these variations, users can select a Kubernetes solution that best suits their management preferences, budget, and particular environment.
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