Cloud-Native Development: Containerization & Orchestration Essentials
Comprehensive training on building scalable, cloud-native applications using Docker and Kubernetes. Learn containerization fundamentals, orchestration best practices, and production-ready deployment strategies for modern distributed systems.
About the Course
This comprehensive training program equips enterprise developers and DevOps professionals with the knowledge and hands-on skills needed to design, build, and deploy cloud-native applications. Participants will gain deep expertise in containerization technologies and container orchestration platforms that form the foundation of modern microservices architectures.
The course combines theoretical concepts with practical, real-world scenarios, ensuring participants can immediately apply their learning to solve complex deployment and scaling challenges in production environments.
Course Objectives
- Understand container technology fundamentals and Docker ecosystem architecture
- Master containerization techniques for application packaging and dependency management
- Learn Kubernetes core concepts including pods, services, and deployments
- Design scalable, resilient microservices architectures
- Implement production-grade configurations, security, and networking
- Apply CI/CD integration with containerized workflows
- Troubleshoot and optimize container performance in distributed environments
Target Audience
- Software developers transitioning to cloud-native development patterns
- DevOps engineers managing containerized infrastructure at scale
- System architects designing modern distributed applications
- IT professionals building enterprise Kubernetes deployments
- Teams modernizing legacy applications through containerization
What You Will Benefit as a Learner
- Practical skills to package and deploy applications using Docker containers
- In-depth knowledge of Kubernetes orchestration for production environments
- Ability to design resilient, auto-scaling microservices architectures
- Hands-on experience with real deployment scenarios and troubleshooting
- Industry best practices for container security, networking, and resource management
- Confidence managing containerized applications across hybrid and multi-cloud environments
Training Methodology
- Interactive instructor-led sessions combining theory with live demonstrations
- Hands-on labs with Docker and Kubernetes in realistic scenarios
- Case study analysis of successful cloud-native implementations
- Group problem-solving exercises for complex deployment challenges
- Access to sandbox environments for practice and experimentation
- Post-training resources and community support for continued learning
Frequently Asked Questions
Basic Linux/Unix knowledge and programming experience recommended. No Kubernetes prerequisites needed.
Yes. Docker Desktop supports Windows, Mac, and Linux with full Kubernetes integration included.
Both. Content applies to developers building containerized apps and DevOps managing production deployments.
Yes, core concepts apply across all platforms. Cloud-specific services covered in advanced modules.
Lectures available asynchronously; labs run live in scheduled sessions with sandbox environments provided.
Duration
Mon-Fri (5 Days)
Level
advanced
Delivery
Flexible Options
Virtual, In-Person, or Self-Paced
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Course Modules
Introduction to containerization concepts, benefits of containerized applications, Docker components, and comparing containers versus virtual machines in modern infrastructure.
Building Docker images from Dockerfiles, managing image layers, working with container registries, and configuring Docker networking for inter-container communication.
Creating production-ready Dockerfiles, optimizing image size and build performance, implementing multi-stage builds, and integrating Docker with development tools.
Understanding Kubernetes cluster structure, master and worker nodes, control plane components, API servers, and resource definitions using YAML manifests.
Creating and managing pods, understanding service types and load balancing, configuring deployments with replicas, rolling updates, and self-healing capabilities.
Implementing stateful applications, ConfigMaps and Secrets management, persistent volumes, data persistence strategies, and handling database migrations in containerized environments.
Configuring Ingress controllers for external traffic routing, DNS in Kubernetes, network policies for security, and introduction to service mesh concepts.
Implementing role-based access control, pod security policies, container image scanning, secrets management, and securing container registries and runtime.
Understanding PersistentVolumes, storage classes, dynamic provisioning, backup and disaster recovery strategies for containerized applications.
Implementing comprehensive monitoring with Prometheus, centralized logging with ELK or similar stacks, distributed tracing, and health checks for resilience.
Automating Docker image builds, integrating with Jenkins or GitLab CI, implementing automated testing, and orchestrating deployments with Kubernetes.
Horizontal Pod Autoscaling, cluster auto-scaling, resource limits and requests optimization, capacity planning, and managing multi-cluster deployments.
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