How To Plan and Build Your Kubernetes Infrastructure
As the IT industry progresses further into a global digital transformation, the practice of developing containerized applications in the cloud is becoming the norm. However, the sheer volume of applications that a single organization must manage is beyond the scope of what an IT team can manually accomplish.
The solution is to plan and build a Kubernetes infrastructure that accommodates cloud-native development and will streamline the process well into the future.
Key Takeaways:
Orchestration - A Kubernetes-ready infrastructure provides the orchestration and load-balancing capabilities that are so necessary for a development environment filled with containerized workloads.
Planning - The crucial step in planning for Kubernetes is to consider the availability of resources and how to distribute them across physical and cloud-based locations in a hybrid environment.
Components - The components necessary in building an infrastructure for Kubernetes include those pertaining to the cloud, datacenter, network, and virtual machines (VMs), all of which should be scalable and compliant.
What is Kubernetes infrastructure?
Kubernetes is an open-source platform for managing and orchestrating the containerized workloads prevalent in a cloud-native ecosystem.
Containerization itself offers flexibility by its packaging software with all the other necessary elements needed to run in a VM. However, the massive amount of containers in a modern datacenter calls for Kubernetes as an orchestration solution.
Kubernetes infrastructure refers to an IT environment tailored to accommodate Kubernetes and maximize its functionality as an orchestrator and load balancer. A Kubernetes-ready infrastructure includes physical servers, cloud platforms, hypervisors, and other elements compatible with Kubernetes.
Phase 1: Planning Your Kubernetes Infrastructure
Kubernetes is flexible enough to exist on many infrastructure types. This means, however, that there is no one-size-fits-all process. Instead, the individual enterprise must plan a unique strategy based on its particular circumstances and goals.
Key Planning Considerations:
Environment type
Before deploying Kubernetes, determine where your clusters will run. Options include on‑premises datacenters, public cloud providers, edge locations, or a hybrid combination of all three. Each environment introduces different operational models, cost structures, and performance characteristics. A clear understanding of your environment helps shape decisions around networking, storage, and cluster topology.
Deployment method
Choose how you will deploy and manage Kubernetes clusters. You may opt for a fully DIY approach using kubeadm, adopt a managed Kubernetes service, or use a platform like Nutanix Kubernetes Platform (NKP) that automates provisioning and lifecycle management. Your deployment method should reflect your team’s skill set, operational maturity, and need for automation.
Resource estimation
Estimate the compute, storage, and networking resources required to support your workloads. Consider CPU/memory ratios, persistent storage needs, and expected growth. This is also the stage to evaluate data services such as Nutanix Data Services for Kubernetes (NDK), which provides persistent, scalable storage for stateful applications. Proper resource estimation ensures your clusters remain performant and cost‑efficient.
Networking & security
Plan for cluster networking early. This includes selecting a Container Network Interface (CNI), defining IP address management, and ensuring connectivity between nodes across datacenter and cloud boundaries. Security considerations—RBAC, network policies, secrets management, and identity integration—must be built into the design rather than added later.
The possibility of establishing a hybrid cloud Kubernetes environment presents another consideration to keep in mind. Kubernetes possesses the noteworthy capability of extending from the on-premises datacenter to the public cloud, allowing for a truly hybrid experience.
Phase 2: Building Your Infrastructure
1. Provision underlying infrastructure
Begin by preparing the physical or virtual infrastructure that will host your Kubernetes nodes. This includes configuring servers or VMs, ensuring adequate CPU, memory, and storage, and validating that your hypervisor or cloud environment meets Kubernetes compatibility requirements. High availability should be considered at this stage, particularly for control plane nodes.
2. Install container runtime
Kubernetes relies on a container runtime to execute workloads. Install a supported runtime such as containerd or CRI‑O on each node. Ensure the runtime is configured consistently across the environment to avoid drift and simplify troubleshooting.
3. Install Kubernetes components
Next, install the core Kubernetes binaries—kubelet, kubeadm, and kubectl—on all nodes. These components enable cluster initialization, node registration, and ongoing communication with the control plane. Version alignment is critical; mismatched versions can lead to instability or upgrade challenges.
4. Initialize the control plane
Use kubeadm or your chosen deployment tool to initialize the control plane. This step configures the API server, scheduler, and controller manager. Once initialized, the control plane becomes the authoritative source for cluster state and orchestrates all workload scheduling and lifecycle operations.
5. Configure networking
Install and configure your chosen CNI plugin to enable pod‑to‑pod and pod‑to‑service communication. Networking configuration also includes setting up DNS, defining network policies, and ensuring that nodes across datacenter and cloud boundaries can communicate securely and reliably.
6. Join worker nodes
With the control plane operational, join worker nodes to the cluster using the token generated during initialization. Worker nodes provide the compute capacity for running workloads. Once joined, they register with the API server and become available for scheduling.
7. Add management & monitoring
Enhance your cluster with observability and lifecycle management tools. This may include logging stacks, metrics collectors, dashboards, and cluster management platforms. Monitoring resource usage, cluster health, and workload performance is essential for maintaining reliability and planning future capacity.
8. Verify and test
Finally, validate that your Kubernetes environment is functioning as expected. Deploy test workloads, confirm networking and storage behavior, and ensure that nodes respond correctly to scaling and failover scenarios. This verification step helps identify misconfigurations early and ensures readiness for production workloads.
Simplify the Build with Nutanix
Planning and building an effective infrastructure is an intensive process. These tasks can each present considerable difficulties, but they are much more attainable when using the right Kubernetes-ready platform as a foundation.
Nutanix Kubernetes Platform (NKP) can be that ideal foundation. With NKP, you have a complete solution for storage, monitoring, and deploying Kubernetes clusters in a matter of minutes, all without the restriction of vendor lock-in.
Nutanix automates the complexity of Steps 1 through 8, handling networking, storage, and high availability for you.
Establish Your Kubernetes Infrastructure on the Right Platform
Kubernetes and containerization pave the way for the development of modern applications, while Cloud Native Solutions & Services for Enterprises provide the freedom to build and deploy those apps any way you choose.
The result is a Kubernetes infrastructure that future-proofs your business via modernity and scalability. With Nutanix, you can run anything anywhere–on one complete cloud native stack.
Learn more about Building the Perfect Cloud Native Platform to further optimize these apps in the cloud.
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