The only solution left was to run a single application on a single physical server, but that was highly expensive and inefficient. Each compute node contains a network proxy called a kube-proxy that facilitates Kubernetes networking services. The kube-proxy either forwards traffic itself or relies on the packet filtering layer of the operating system to handle network communications both outside and inside the cluster.

What is Kubernetes based architecture

In the past, organizations ran their apps solely on physical servers (also known as bare metal servers). However, there was no way to maintain system resource boundaries for those apps. For instance, whenever a physical server ran multiple applications, one application might eat up all of the processing power, memory, storage space or other resources on that server.

Node Components

The Kubernetes API server listens on a TCP port that serves HTTPS traffic, in order to enforce transport layer security (TLS) using CA certificates. Kubernetes 1.0 was released on July 21, 2015.[15] Google worked with the Linux Foundation to form the Cloud Native Computing Foundation (CNCF)[16] and offered Kubernetes as a seed technology. In February 2016,[17] the Helm[18][19] package manager for Kubernetes was released.

  • An application can no longer freely access the information processed by another application.
  • Deployments are used to define HA policies to your containers by defining policies around how many of each container must be running at any one time.
  • In this context, Dynatrace is an integral component of a centralized Kubernetes management console, contributing to enhanced observability, efficient cluster management, and robust alerting.
  • Kubernetes is an open-source platform that manages Docker containers in the form of a cluster.
  • According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026.

Very rarely monitoring systems and third-party services may talk to API servers to interact with the cluster. An enterprise application platform with a unified set of tested services for bringing apps to market on your choice of infrastructure. This simplified overview of Kubernetes architecture just scratches the surface. As you consider how these components kubernetes based assurance communicate with each other—and with external resources and infrastructure—you can appreciate the challenges of configuring and securing a Kubernetes cluster. The Kubernetes API is the front end of the Kubernetes control plane, handling internal and external requests. The API server determines if a request is valid and, if it is, processes it.

The history of Kubernetes and the Cloud Native Computing Foundation

It can forward traffic or use the operating system’s packet filtering layer to handle network communications inside and outside the cluster. These components run on each node, working to maintain running pods and provide a Kubernetes runtime environment. A Deployment allows users to specify the scale at which applications should run.

What is Kubernetes based architecture

The pod is the core unit of management in the Kubernetes ecosystem and acts as the logical boundary for containers that share resources and context. Differences in virtualization and containerization are mitigated by the pod grouping mechanism, which enables running multiple dependent processes together. Virtualized deployments allow you to scale quickly and spread the resources of a single physical server, update at will, and keep hardware costs in check. Each VM has its operating system and can run all necessary systems on top of the virtualized hardware. Kubernetes, or k8s for short, is a system for automating application deployment.

Use Cases#2: Serverless Architecture –

The front end of the Kubernetes control plane, the API Server supports updates, scaling, and other kinds of lifecycle orchestration by providing APIs for various types of applications. Clients must be able to access the API server from outside the cluster, because it serves as the gateway, supporting lifecycle orchestration at each stage. In that role, clients use the API server as a tunnel to pods, services, and nodes, and authenticate via the API server.

Kubernetes application architecture is configured securely at multiple levels. For a detailed look at Kubernetes Security, please see our discussion here. Pods are also capable of horizontal autoscaling, meaning they can grow or shrink the number of instances running. A common application challenge is deciding where to store and manage configuration information, some of which may contain sensitive data. Configuration data can be anything as fine-grained as individual properties, or coarse-grained information like entire configuration files such as JSON or XML documents. Kubernetes provides two closely related mechanisms to deal with this need, known as ConfigMaps and Secrets, both of which allow for configuration changes to be made without requiring an application rebuild.

Kubernetes Architecture and Components

Moreover, they can also be used for organizing or selecting subsets of objects. However, many different labels may have the same name, confusing the user while identifying a set of objects. Set-based and equality-based are the two types of selectors where filtering is done based on a set of values and label keys, respectively.

What is Kubernetes based architecture

It is especially notable when industry leaders vouch for it over their platforms. Without WASI, these apps must be provisioned with full access to operating systems. Another feature of Wasm is that it converts code into binary format, which loads and executes at high speed. Today, WebAssembly promises to improve containerization by offering high-performance, modularity and portability on both the client side and server side. Wasm is a form of low-level assembly language that can compile various common programming languages. For example, a program written in C, C++ or Rust can be compiled into a Wasm binary module.

Running efficient services

It then makes sure that the related containers are in good working order. Kubernetes has experienced tremendous growth in its adoption since 2014. Inspired by Google’s internal cluster management solution, Borg, Kubernetes simplifies deploying and administering your applications. Like all container orchestration software, Kubernetes is becoming popular among IT professionals because it’s secure and straightforward. However, as with every tool, recognizing how its architecture helps you use it more effectively.

What is Kubernetes based architecture

Basic K8S objects and several higher-level abstractions are known as controllers. It acts as the Cluster brain because it tells the Scheduler and other processes about which resources are available and about cluster state changes. The provided file system makes containers extremely portable and easy to use in development.

VMware vSphere Container Storage Interface (CSI) Automatic Migration

It starts by checking the availability of resources within nodes and then assigns an available node that meets the requirement specified in the request. A node that can satisfy the scheduling requirements is called a feasible node. If a node is not suitable for the pod, it remains unscheduled until a suitable node becomes available. It manages external and internal traffic, handling API calls related to admission controls, authentication, and authorization.


Other components for monitoring, logging, service discovery, and optional extras are also run on the node. This release includes MicroShift 4.14, which is used in Red Hat Device Edge. It provides enterprise-ready, lightweight Kubernetes container orchestration, extending operational consistency across edge and hybrid cloud environments no matter where devices are deployed in the field. Being lightweight is critical in supporting different use cases and workloads on small, resource-constrained devices at the farthest edge. It balances the efficiency of low resource utilization with the familiar tools and processes that Kubernetes users are already accustomed to, as a natural extension of their Kubernetes environments.

It can lead to processing issues, and IP churn as the IPs no longer match. The role of the Controller is to obtain the desired state from the API Server. It checks the current state of the nodes it is tasked to control, and determines if there are any differences, and resolves them, if any.