Seeweb Kubernetes Service (SKS)

The term Kubernetes derives from ancient Greek and means “helmsman”. The name perfectly reflects the platform's main function, which is to “steer” and orchestrate the container ecosystem, ensuring scalability, failover, and efficient distribution.

Kubernetes, often abbreviated as K8s (where 8 represents the number of letters between “K” and “s”), is an open-source system designed to manage the deployment, scaling, and management of containerized applications.

One of Kubernetes’ features lies in its ability to group containers into sets, which can be run on the same computer. This approach reduces network overhead and improves resource utilization efficiency. Kubernetes is particularly effective in managing and balancing resources among different containers, such as app servers, Redis caches, and SQL databases.

Kubernetes container management software has become the de facto standard for deploying and managing containerized applications. With its ability to simplify and automate numerous operations, Kubernetes has become a fundamental element in the IT strategies of many organizations.

Through automated container orchestration, reliability increases, and the time and resources required for daily operations are significantly reduced.

As a managed service, it offers versatile solutions for a wide range of needs:

Companies of various sizes and industries. Kubernetes is used by a wide variety of companies, ranging from innovative startups to large corporations. This platform is particularly popular among companies that need to manage complex applications distributed on a large scale. Industries such as fintech, e-commerce, media, healthcare, and many others rely on Kubernetes for its flexibility, scalability, and robustness.

Developers and IT teams. Developers and IT teams worldwide adopt Kubernetes to simplify and optimize the application deployment and management process. Kubernetes provides them with tools to automate and efficiently manage containers, allowing greater focus on development and innovation rather than infrastructure maintenance.

Cloud and modernization-oriented organizations. Organizations focusing on modernizing their applications and adopting cloud-native architectures find Kubernetes an essential tool. It is ideal for companies looking to leverage the benefits of cloud computing, including the ability to run applications in public, private, or hybrid cloud environments.

To understand how Kubernetes works, it is essential to delve into its main components, which form the architecture on which the platform is based.

Master. This is the machine that coordinates the entire Kubernetes system. It performs critical functions such as dynamically allocating containers based on available resources and predefined parameters.

Nodes. Nodes are physical or virtual machines responsible for the actual execution of containers and applications. Each node is controlled by the master and can host one or more containers.

Pods. Pods represent the basic unit in Kubernetes. They can contain multiple containers residing on the same node, sharing, in addition to the IP address, computing, storage, and network resources.

Kubelet. Each node runs a process called Kubelet. This software agent runs on nodes and, receiving orders from the master machine, initiates container management according to instructions.

When considering whether Kubernetes is the right choice for a company, it is essential to evaluate the potential benefits it can bring. Containerization, supported by Kubernetes orchestration, offers numerous advantages that can significantly improve technological efficiency, organization, and business benefits.

Ideal circumstances for adoption.
Companies looking to increase the flexibility of their application portfolio, accelerate development and release processes, ensure service continuity, and optimize IT costs will find Kubernetes a valuable ally. This technology is particularly beneficial in complex, heterogeneous, and distributed IT environments, where application portability and efficient management are crucial.

Considerations for adoption.
dopting Kubernetes requires a thoughtful and personalized approach. The adoption roadmap must be gradual and well-planned, considering that integrating Kubernetes into existing IT infrastructure may require time and specific expertise. It is important to have a team with multidisciplinary expertise and adequate preparation to address technical and organizational challenges.

Pods in Kubernetes are the smallest unit of an application within the Kubernetes ecosystem and represent a group of one or more containers. Each pod can contain multiple tightly coupled containers for advanced usage scenarios or a single container for more common scenarios. Within a pod, containers share the same computing resources and local network, allowing them to interact as if they were on the same physical hardware, while maintaining a certain level of isolation.

Kubernetes containers are a fundamental tool in the Kubernetes ecosystem. Containers are a way to package, deploy, and manage applications along with all their dependencies and necessary configurations, ensuring that the application runs consistently and reliably in any environment.

Kubernetes efficiently manages containers, providing advanced features such as automatic deployment, horizontal scalability, load balancing, version rollback, and more. By using Kubernetes to orchestrate containers, developers and system operators can focus on building and managing applications without having to worry about the underlying infrastructure.

Kubernetes is the most sought-after container orchestration platform for valid reasons, including:

Certainly, it is possible to integrate GPU Cloud Servers with Kubernetes. Kubernetes supports the use of GPUs, which are particularly useful for compute-intensive workloads such as data processing for Artificial Intelligence or Machine Learning. By using GPUs in a Kubernetes environment, you can significantly increase the speed and efficiency of your containerized applications that require intensive computational power.