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Kubernetes & Docker Training Key Features

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Extensive Hands-On Container Labs

Get practical experience containerizing applications with Docker and orchestrating them effectively using Kubernetes in real-world deployment scenarios.

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Flexible Online and In-Person Classes

Learn at your convenience through our classroom sessions at Ameerpet or Kukatpally, or join live interactive online classes from anywhere in the world.

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Dedicated Docker & Kubernetes Mentorship

Receive personalized assistance for all your containerization projects, deployment challenges, and complex orchestration queries from our expert instructors.

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Robust Certification & Placement Guidance

We help you prepare for Docker and Kubernetes certifications, mock interviews, resume optimization, and direct connections to in-demand cloud and DevOps job opportunities.

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Real-World Microservices Projects

Gain invaluable experience by developing end-to-end containerized applications, from initial Dockerfile creation to scalable deployments and management on Kubernetes clusters.

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Engaging Cloud-Native Community

Collaborate with a supportive community of peers and instructors, fostering enhanced cloud-native skills, shared knowledge, and valuable networking opportunities for professional growth.

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Kubernetes & Docker Training Overview

Value Learning offers comprehensive Kubernetes & Docker training courses at both Ameerpet and Kukatpally (KPHB), Hyderabad. Our programs are meticulously designed to equip you with the practical skills needed for modern application development and deployment using containerization and orchestration.

Docker is an open-source platform that simplifies the process of packaging, deploying, and running applications within isolated environments called containers. Containers bundle an application along with all its libraries and dependencies, ensuring it runs consistently across different environments. Kubernetes, often referred to as K8s, is an open-source system for automating the deployment, scaling, and management of these containerized applications. Our expert-led training covers everything from building Docker images and managing container lifecycles to setting up Kubernetes clusters, managing deployments, scaling applications, configuring networking, and handling persistent storage. This program is essential for anyone looking to master the foundations of DevOps, microservices architecture, and cloud-native deployments.

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Successful Learners

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Training Hours Delivered

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Enterprise Projects Covered

Kubernetes & Docker Training Objectives

The Kubernetes & Docker course at Value Learning, delivered at our Ameerpet and Kukatpally (KPHB) centers in Hyderabad, is designed to give learners a robust understanding of containerization and orchestration principles essential for modern software development.

Through this training, you will gain hands-on experience with creating Docker images, running and managing containers, and orchestrating complex applications with Kubernetes. You'll achieve proficiency in deploying, scaling, and managing microservices in a robust and efficient manner across various cloud and on-premises environments.

The primary goal of the training is to empower learners to confidently build, deploy, and manage highly scalable, resilient, and portable applications using industry-leading container technologies like Docker and Kubernetes, preparing them for in-demand DevOps, Cloud Engineer, and Site Reliability Engineer (SRE) roles.

To equip learners with comprehensive, practical experience in designing and implementing cloud-native applications, including service discovery, load balancing, continuous integration/continuous deployment (CI/CD) pipelines, monitoring, and troubleshooting in containerized environments.

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Course Curriculum - Kubernetes & Docker (Containerization & Orchestration)

Overview:
  • What is Containerization? Benefits and Use Cases
  • Virtual Machines vs. Containers: Key Differences
  • Introduction to Docker: History, Architecture (Daemon, Client, Registry)
  • Installing Docker Engine (Desktop/Server) on various OS
  • Basic Docker Commands: `docker run`, `ps`, `images`, `rm`, `rmi`
  • Understanding Docker Images, Layers, and Image Registry (Docker Hub)
  • Hands-on: Pulling and Running Your First Container

  • Introduction to Dockerfile Syntax and Instructions (`FROM`, `RUN`, `COPY`, `ADD`, `CMD`, `ENTRYPOINT`, `EXPOSE`, `ENV`, `VOLUME`)
  • Building Custom Docker Images: `docker build`
  • Best Practices for Dockerfile Optimization: Layer Caching, Reducing Image Size
  • **Multi-Stage Builds**: Creating Leaner Production Images
  • Tagging and Pushing Images to Docker Hub or Private Registries
  • Managing Image Versions and Digests
  • Hands-on: Containerizing a Simple Application (e.g., Python Flask, Node.js Express)

  • Docker Network Drivers: Bridge, Host, None, Overlay
  • Container Networking: Exposing Ports, Inter-container Communication
  • Creating Custom Bridge Networks for Application Isolation
  • Docker Volumes: Persistent Data Storage for Containers (Bind Mounts, Named Volumes)
  • Sharing Data Between Containers
  • Cleaning up Docker Resources: Pruning Images, Containers, Volumes, Networks
  • Hands-on: Deploying a Multi-Container Application with Network and Volume Configuration

  • Introduction to Docker Compose: Defining Multi-Container Applications with YAML
  • Docker Compose File Structure and Syntax (`services`, `networks`, `volumes`)
  • `docker compose up`, `down`, `build`, `start`, `stop`, `exec` commands
  • Managing Application Dependencies with `depends_on`
  • Environment Variables and Externalizing Configuration
  • Scaling Services with Docker Compose
  • Hands-on: Orchestrating a Web Application with a Database using Docker Compose

  • Why Kubernetes? The Need for Container Orchestration
  • Kubernetes Architecture: Master (Control Plane) and Worker Nodes
  • Understanding Key Components: Kube-API Server, etcd, Kube-Scheduler, Kube-Controller-Manager, Kubelet, Kube-Proxy
  • kubectl: The Kubernetes Command-Line Tool
  • Setting up a Local Kubernetes Cluster (Minikube/Kind)
  • Kubernetes Objects: Declarative vs. Imperative Management
  • Introduction to YAML for Kubernetes Manifests

  • Understanding Pods: The Smallest Deployable Unit in Kubernetes
  • Multi-Container Pods (Sidecar Pattern)
  • ReplicaSets: Ensuring a Desired Number of Pod Replicas
  • Deployments: Managing Rolling Updates and Rollbacks
  • Scaling Applications: Manual Scaling (`kubectl scale`), Horizontal Pod Autoscaler (HPA)
  • Liveness and Readiness Probes for Application Health Checks
  • Hands-on: Deploying a Scalable Web Application with Deployment and HPA

  • Understanding Kubernetes Services: Abstracting Pod Access
  • Service Types: ClusterIP, NodePort, LoadBalancer, ExternalName
  • Service Discovery within the Cluster (DNS)
  • Ingress: Exposing Services to External Traffic with HTTP/S Routing
  • Ingress Controllers (Nginx, Traefik)
  • Container Network Interface (CNI) Basics
  • Hands-on: Exposing a Web Application using various Service Types and Ingress

  • Challenges of Persistent Data in Containers
  • Volumes: `emptyDir`, HostPath, `configMap`, `secret` volumes
  • Persistent Volumes (PV): Abstracting Storage Details
  • Persistent Volume Claims (PVC): Requesting Storage by Applications
  • Storage Classes: Dynamic Provisioning of Storage
  • Running Stateful Applications: StatefulSets for Stable Identifiers and Ordering
  • Hands-on: Deploying a Database (e.g., MongoDB, PostgreSQL) with Persistent Storage

  • Managing Application Configuration with ConfigMaps
  • Injecting ConfigMaps as Environment Variables or Mounted Files
  • Handling Sensitive Information with Kubernetes Secrets
  • Mounting Secrets as Files or Exposing as Environment Variables
  • Best Practices for Secret Management: External Secrets, Sealed Secrets
  • Role-Based Access Control (RBAC) for Securing Access to Kubernetes Resources
  • Hands-on: Configuring an application with ConfigMaps and Secrets

  • Resource Requests and Limits for Pods (CPU, Memory)
  • Node Affinity and Anti-Affinity for Intelligent Pod Placement
  • Taints and Tolerations for Node Segregation
  • DaemonSets: Running a Pod on Every Node or a Subset of Nodes
  • Jobs and CronJobs: Running Batch Processes and Scheduled Tasks
  • Init Containers for Pre-Application Setup
  • Hands-on: Implementing advanced scheduling and different workload types

  • Collecting Metrics with Metrics Server and Kube-State-Metrics
  • Monitoring with Prometheus: Architecture, Installation, Exporters
  • Visualizing Data with Grafana Dashboards
  • Centralized Logging: ELK Stack (Elasticsearch, Logstash, Kibana) or Fluentd/Fluent Bit
  • Accessing Container Logs: `kubectl logs`
  • Troubleshooting Common Kubernetes Issues: Pods in Pending/CrashLoopBackOff, Service Connectivity
  • Hands-on: Setting up basic monitoring and logging for a Kubernetes application

  • Introduction to Helm: The Kubernetes Package Manager
  • Helm Architecture: Client (Helm CLI) and Tiller (deprecated, but historical context)
  • Helm Charts: Structure, Templates, Values
  • Installing and Managing Applications with Helm (`helm install`, `upgrade`, `rollback`, `uninstall`)
  • Customizing Deployments with `values.yaml`
  • Creating Your Own Helm Charts for Your Applications
  • Hands-on: Deploying a Complex Application using a Public Helm Chart and then a Custom Chart

  • Cluster Hardening: API Server Security, etcd Security, Node Security
  • Role-Based Access Control (RBAC) Deep Dive: Roles, ClusterRoles, RoleBindings, ClusterRoleBindings
  • Pod Security Standards (PSS): Enforcing Baseline, Restricted, and Privileged Policies
  • Network Policies: Controlling Ingress and Egress Traffic between Pods
  • Image Security: Using Trusted Images, Image Scanning for Vulnerabilities
  • Runtime Security: Introduction to Tools like Falco
  • Auditing Kubernetes API Server Logs

  • Introduction to CI/CD for Containerized Applications
  • Building Docker Images in CI Pipelines (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps)
  • Automated Image Scanning within CI
  • Deploying to Kubernetes from CI/CD Pipelines
  • Implementing GitOps with tools like Argo CD or Flux CD
  • Blue/Green Deployments and Canary Releases on Kubernetes
  • Automated Testing of Containerized Applications

  • Designing and Implementing a Multi-Service Application on Kubernetes
  • Containerizing the application components using Dockerfiles and Multi-Stage Builds
  • Defining Kubernetes Manifests for Deployments, Services, ConfigMaps, Secrets, Persistent Volumes
  • Packaging the application with Helm Charts
  • Setting up a CI/CD Pipeline to build, push images, and deploy to Kubernetes
  • Implementing Monitoring (Prometheus/Grafana) and Logging (ELK/Fluentd)
  • Applying Kubernetes Best Practices for Security, Networking, and Resource Management
  • Troubleshooting and Optimization of the deployed application
  • Presentation and Code Review of the Project

  • Overview of In-demand Roles: DevOps Engineer, Cloud Native Engineer, SRE, Kubernetes Administrator, Container Engineer
  • Job Market Trends for Docker & Kubernetes in Hyderabad (2025 outlook)
  • Average Salary Expectations for Kubernetes/Docker Professionals in Hyderabad
  • **Certification Preparation**:
    • Certified Kubernetes Administrator (CKA) by CNCF
    • Certified Kubernetes Application Developer (CKAD) by CNCF
    • Certified Kubernetes Security Specialist (CKS) by CNCF (advanced)
    • Kubernetes and Cloud Native Associate (KCNA) by CNCF (foundational)
  • Interview Preparation Tips and Common Questions
  • Building a Strong GitHub Portfolio with Docker & Kubernetes Projects
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