Welcome to our kubedockxpert Coaching Center, where we are dedicated to providing top-tier, flexible, and innovative IT education. We are a team of experienced professionals with a passion for teaching and a mission to empower individuals with the skills they need to succeed in the ever-evolving world of Information Technology.
Kubernetes is the industry-standard container orchestration platform that simplifies deploying, managing, and scaling containerized applications. This course provides a comprehensive understanding of Kubernetes, from its core concepts to advanced deployment strategies.
You will learn how to set up, configure, and manage Kubernetes clusters, automate application deployment, and optimize workloads. Gain hands-on experience in real-world scenarios to become proficient in Kubernetes and modern DevOps workflows.
Kubernetes Fundamentals: Understanding clusters, nodes, and pods.Setting Up Kubernetes: Installing and configuring Kubernetes on various environments.Managing Deployments: Working with Deployments,
Course Curriculum
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What is Kubernetes and Why Use It?
Kubernetes Architecture: Clusters, Nodes, Pods, and Control Plane
Comparing Kubernetes with Docker Swarm
Setting Up a Local Kubernetes Environment (Minikube, Kind, K3s)
Installing Kubernetes on Cloud Providers (AWS, GCP, Azure)
Setting Up Kubernetes with kubeadm
Managing Kubernetes Clusters with kubectl
Understanding Kubernetes API and CLI
Creating and Managing Pods
Using ReplicaSets and Deployments for High Availability
Rolling Updates, Rollbacks, and Canary Deployments
Resource Requests, Limits, and Scheduling
Cluster Networking Basics
Services and Load Balancing
DNS Resolution in Kubernetes
Ingress Controllers for External Access
Understanding Persistent Volumes (PV) and Persistent Volume Claims (PVC)
Storage Classes and Dynamic Provisioning
Using NFS, Cloud Storage, and CSI Drivers
Configuring Stateful Applications in Kubernetes
Using ConfigMaps and Secrets for Application Configuration
Managing Environment Variables in Pods
Kubernetes Service Discovery and Communication
Horizontal and Vertical Pod Autoscaling
Node Autoscaling and Cluster Autoscaler
Kubernetes Workload Distribution Strategies
Handling Failures and Self-Healing Mechanisms
Setting Up Kubernetes Monitoring with Prometheus and Grafana
Logging with Fluentd, Elasticsearch, and Kibana
Debugging Kubernetes Applications
Best Practices for Observability
Horizontal and Vertical Pod Autoscaling
Node Autoscaling and Cluster Autoscaler
Kubernetes Workload Distribution Strategies
Handling Failures and Self-Healing Mechanisms
Horizontal and Vertical Pod Autoscaling
Node Autoscaling and Cluster Autoscaler
Kubernetes Workload Distribution Strategies
Handling Failures and Self-Healing Mechanisms
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The environment here is competitive yet supportive, making it an ideal place for serious learners.
The center’s interactive sessions and doubt-solving sessions have been immensely helpful in clearing my concepts.