Kubernetes Architecture: This skill provides an understanding of the overall structure and components of the Kubernetes system, such as the master node, worker nodes, and control plane. It is essential to measure this skill in the test to ensure that candidates have a solid foundation in the fundamental architecture of Kubernetes.
Containerization: This skill involves packaging applications and their dependencies into self-contained units called containers. It is crucial to measure this skill to assess a candidate's ability to effectively utilize containerization technology, which is a key component of Kubernetes applications.
Pods: Pods are the smallest deployable units in Kubernetes, consisting of one or more containers. Measuring this skill helps evaluate a candidate's understanding of how to manage and orchestrate containers within a pod, ensuring proper communication and resource sharing.
Deployments: This skill focuses on managing the rollout and scaling of application changes in Kubernetes. It is important to measure this skill to assess a candidate's proficiency in ensuring the availability and reliability of applications during the deployment process.
Services: Services in Kubernetes enable communication and load balancing between pods. Measuring this skill helps evaluate a candidate's knowledge of configuring and managing services to ensure efficient network communication and high availability of applications.
Volumes: Volumes provide persistent storage for containers in Kubernetes. Measuring this skill helps assess a candidate's ability to handle data persistence and manage storage resources effectively within a Kubernetes environment.
Networking in Kubernetes: Understanding networking concepts in Kubernetes is crucial for managing communication between pods and services. This skill should be measured to evaluate a candidate's knowledge of networking models, routing, and traffic management within a Kubernetes cluster.
Scaling and Load Balancing: This skill involves the ability to scale applications in a Kubernetes cluster to handle increased workload and ensure optimal resource utilization. Measuring this skill helps assess a candidate's proficiency in managing application scalability and load balancing.
Security in Kubernetes: This skill focuses on implementing security measures and best practices within a Kubernetes environment. Measuring this skill helps evaluate a candidate's understanding of securing containerized applications, network communication, and access control in Kubernetes.