Kubernetes Development Services

A Kubernetes control plane consists of an API server, controller manager, scheduler and some kind of persistence store – usually an etcd database. This is the brain of the cluster operation, and its primary responsibility is to keep track of running workloads (pods or sets of pods) to make sure they are in the desired functional state – even when a node on which a specific workload is running fails.

Worker nodes components, kubelet and kube proxy, provide needed resources for pods running in a Kubernetes cluster – like CPU, memory, network communication or storage. Kubernetes makes these resources available through a system of plugins and standardized interfaces - such as CNI (network), CSI (storage) or CRI (runtime). Since these plugins are usually delivered by third parties, it’s worth checking if a provider or project you want to use is stable and proven on production. Our team highly recommends using mature projects from CNCF.

To run a pod in a Kubernetes cluster, you usually need to pull the image of a specific container from an external container image registry, for example a Docker registry or on-prem Harbor instance. Pods can be deployed on a cluster in a manual way or with the use of CI/CD pipelines, which automate the process of building, testing and deploying the images, thereby enabling faster development cycles and reliable releases.

Kubernetes exposes many different telemetry data (metrics, events, logs) from the workload and the cluster itself. As you are dealing in Kubernetes with distributed workloads, applications that can exist and communicate between different nodes and even geographic regions, it’s crucial to have the telemetry collected and visible in one centralized system to monitor, analyze and debug applications effectively.

Security is a major concern in all IT systems, and the same applies to Kubernetes. A cloud native security model defines four layers in this matter: Cloud (or Datacenter), Cluster, Container and Code. A properly secured system cannot rely only on cloud security mechanisms or hardening in the code, you need to take into account all layers to ensure the best possible level of security of clusters and the whole environment.

Get seamless Kubernetes platform preparation and deployment with a comprehensive implementation service. Our experienced engineers possess experience with various Kubernetes setups, including Vanilla Kubernetes, and specific distributions such as Rancher, Red Hat OpenShift, K3s, as well as managed services like Google Kubernetes Engine (GKE), Amazon Elastic Kubernetes Service (EKS) and Azure Kubernetes Service (AKS).

Boost your platform by planning and designing updated Kubernetes-based application architectures. We assist with the execution of transformation projects and guide both new implementations and existing ones. Whether you need assistance with further development planning or identifying bottlenecks within your deployment or overall architecture, our consultants are here to help.

Empower your product with dedicated support teams 24/7 to provide tailored support for your Kubernetes platform and guarantee your applications run smoothly. Software Mind, which adheres to Service Level Agreements (SLAs) customized to meet your exact needs, promptly addresses and resolves issues that may arise.

Conduct thorough security assessments of your Kubernetes implementation and adhere to the up-to-date security standards. By performing audits to identify potential vulnerabilities, ensure your organization has a robust security system. Our experts will cover aspects such as security assessment and authorization, penetration testing, and the entire application security lifecycle.

Embrace the opportunity to learn from certified Kubernetes instructors, expert consultants and battle-proven engineers, who incorporate real-life case studies into training sessions. Our training agendas are flexible and can be adjusted to meet the specific needs and requirements of your company or group to fit your Kubernetes needs.

Facilitate seamless migration between Kubernetes distributions, while delivering minimal downtime and maximum efficiency. Our experts handle cluster upgrades, ensure compatibility with newer Kubernetes versions and smoothly migrate workloads to leverage the latest Kubernetes features without disruptions. Optimize performance and scalability and implement the necessary observability tools.