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Kubernetes Architecture

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Shuvojit Kar
I'm energetic, ambitious person who has developed a mature and responsible approach to any task that I undertake, or situation that I am presented with. I am excellent at working with others to achieve a certain objective on time and with excellence. Customer Engineer| Al/ ML |AI Infrastructure | Cloud Migration |Technical Solution| Vertex AI| Cloud Database |Cloud Networking |DevOps Engineer| Technical Blogger| Generative AI| Google Cloud Ready Facilitator 🌐Linux Linux Professional Institute Certificate Technical Writer \ Cloud Networking Cloud Computing \ Cloud Infrastructure Cloud Consultant \ Customer Engineer 🌐Virtualization - VMware, vSphere, vCenter Server 🌐Programming Skill Technical Skills Proficiency in languages like Java, Python, Scala, or JavaScript. System Administration: Experience with Linux/Unix systems, Windows Server. Networking: Understanding of network protocols, routing, VPC, Subnets, Firewalls, VPNs, Load Balancers, switching, and firewall configurations. Cloud Platforms: Experience with AWS, Azure, or Google Cloud Platform. Databases: Knowledge of SQL and NoSQL databases like MySQL, PostgreSQL, MongoDB. Scripting: Ability to write scripts for automation using Bash, PowerShell, or similar. Monitoring and Logging: Familiarity with tools like Nagios, Prometheus, Grafana, ELK Stack. Configuration Management: Experience with tools like Ansible, Puppet, Chef. DevOps: Knowledge of CI/CD pipelines, Jenkins, Docker, Kubernetes. Security: Understanding of security best practices and tools, Cloud security best practices, IAM, Security Groups, Compliance. Infrastructure as Code: Terraform, CloudFormation, Ansible Compute Services: EC2, GCE, Azure VMs. Storage Solutions: S3, GCS Customer Service Skills:- Communication: Strong verbal and written communication skills. Problem-Solving: Ability to diagnose and resolve technical issues efficiently. Interpersonal Skills: Building and maintaining relationships with clients. Training and Education: Ability to conduct training sessions for clients. Project Management: Managing customer projects and ensuring timely delivery. Knowledge/experience in configuring and supporting devices such as Cisco, Juniper, Checkpoint, etc. Knowledge Cloud Migration, Presale, Data Center relocation, Go-to-Market Strategy. Certifications: AWS Certified Solutions Architect Microsoft Certified: Azure Solutions Architect Expert Google Professional Cloud Architect Certified Kubernetes Administrator (CKA)

TABLE OF CONTENTS

  • Kubernetes - Cluster Architecture

  • Kubernetes - Master Machine Components

    • etcd

    • API Server

    • Controller Manager

    • Scheduler

  • Kubernetes - Node Components

    • Docker

    • Kubelet Service

    • Kubernetes Proxy Service

  • Kubernetes - Master and Node Structure

TABLE OF CONTENTS

Kubernetes - Cluster Architecture

As seen in the following diagram, Kubernetes follows a client-server architecture. Wherein, we have master installed on one machine and the node on separate Linux machines.

Cluster Architecture

The key components of master and node are defined in the following section.

Kubernetes - Master Machine Components

Following are the components of Kubernetes Master Machine.

etcd

It stores the configuration information which can be used by each of the nodes in the cluster. It is a high availability key value store that can be distributed among multiple nodes. It is accessible only by Kubernetes API server as it may have some sensitive information. It is a distributed key value Store which is accessible to all.

API Server

Kubernetes is an API server which provides all the operation on cluster using the API. API server implements an interface, which means different tools and libraries can readily communicate with it. Kubeconfig is a package along with the server side tools that can be used for communication. It exposes Kubernetes API.

Controller Manager

This component is responsible for most of the collectors that regulates the state of cluster and performs a task. In general, it can be considered as a daemon which runs in nonterminating loop and is responsible for collecting and sending information to API server. It works toward getting the shared state of cluster and then make changes to bring the current status of the server to the desired state. The key controllers are replication controller, endpoint controller, namespace controller, and service account controller. The controller manager runs different kind of controllers to handle nodes, endpoints, etc.

Scheduler

This is one of the key components of Kubernetes master. It is a service in master responsible for distributing the workload. It is responsible for tracking utilization of working load on cluster nodes and then placing the workload on which resources are available and accept the workload. In other words, this is the mechanism responsible for allocating pods to available nodes. The scheduler is responsible for workload utilization and allocating pod to new node.

Kubernetes - Node Components

Following are the key components of Node server which are necessary to communicate with Kubernetes master.

Docker

The first requirement of each node is Docker which helps in running the encapsulated application containers in a relatively isolated but lightweight operating environment.

Kubelet Service

This is a small service in each node responsible for relaying information to and from control plane service. It interacts with etcd store to read configuration details and wright values. This communicates with the master component to receive commands and work. The kubelet process then assumes responsibility for maintaining the state of work and the node server. It manages network rules, port forwarding, etc.

Kubernetes Proxy Service

This is a proxy service which runs on each node and helps in making services available to the external host. It helps in forwarding the request to correct containers and is capable of performing primitive load balancing. It makes sure that the networking environment is predictable and accessible and at the same time it is isolated as well. It manages pods on node, volumes, secrets, creating new containers’ health checkup, etc.

Kubernetes - Master and Node Structure

The following illustrations show the structure of Kubernetes Master and Node.

Master and Node Structure

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