Course Details
Kubernetes is a powerful container orchestration platform that simplifies the deployment, management, and scaling of containerized applications. By automating many of the operational tasks associated with container management, Kubernetes enables organizations to build and deploy applications with speed, reliability, and flexibility. It has become the de facto standard for container orchestration and is widely adopted in cloud-native architectures and microservices deployments. However, it does require a deep understanding to properly configure and manage, especially in large-scale environments.
Kubernetes
Kubernetes (often abbreviated as K8s) is an open-source platform for automating the deployment, scaling, and management of containerized applications. It was originally developed by Google and is now maintained by the Cloud Native Computing Foundation (CNCF). Kubernetes is designed to handle the complexities of deploying and operating containerized applications in a production environment, such as balancing workloads, scaling applications, ensuring high availability, and maintaining infrastructure health.
Course Fee
30,000
Available Seats
30
Schedule
11.00 am - 1.00 pm
Key Concepts in Kubernetes
Container:Containers are lightweight, portable, and self-sufficient environments in which applications can run.
Pod:A Pod is the smallest deployable unit in Kubernetes. It can contain one or more containers that share the same network namespace and storage resources.
Cluster:A Cluster is a set of nodes that run containerized applications.
Key Features of Kubernetes
Automated Deployment and Scaling:Kubernetes provides built-in features for automating the deployment and scaling of applications.
Self-Healing:Kubernetes continuously monitors the health of Pods and nodes. If a Pod fails or crashes, Kubernetes automatically restarts or replaces it to ensure that the application remains available.
Network Policies:Kubernetes provides a way to define network policies that control the communication between Pods.
Kubernetes Architecture
Master Node (Control Plane): The master node is the brain of the Kubernetes cluster, managing the overall system and making global decisions about the cluster (e.g., scheduling, scaling).
Worker Node: The worker node runs the containerized applications (Pods).
Kubernetes Use Cases
Microservices Architecture: Kubernetes is well-suited for managing microservices-based applications, where services are packaged into containers and can be independently scaled and managed.
Continuous Integration and Continuous Delivery (CI/CD): Kubernetes automates the deployment process and integrates well with CI/CD tools, allowing teams to continuously deploy and test their applications.
Benefits of Kubernetes
Portability: Kubernetes abstracts the underlying infrastructure, allowing you to run applications consistently across different environments.
Scalability: Kubernetes can automatically scale applications up or down based on load.
High Availability: Kubernetes ensures applications are always available, automatically rescheduling Pods to healthy nodes if necessary.
