Cloud-Native Application Architecture Training
Introduction to Cloud-Native Architecture
Gain an understanding of cloud-native architecture and its principles. Learn about the core concepts of building and deploying applications designed specifically for cloud environments, including microservices, containerization, and orchestration.
Microservices Architecture
Explore microservices architecture, which involves developing applications as a collection of loosely coupled services. Understand how to design, implement, and manage microservices to achieve scalability, resilience, and agility.
Containerization with Docker
Learn about containerization using Docker. Study how to package applications and their dependencies into containers, ensuring consistency across different environments. Understand container orchestration basics with Docker Swarm and Kubernetes.
Orchestration with Kubernetes
Discover Kubernetes and its role in orchestrating containerized applications. Learn about Kubernetes architecture, including nodes, pods, services, and deployments. Understand how to manage containerized applications in a distributed environment.
Service Meshes and API Gateways
Understand the role of service meshes and API gateways in cloud-native applications. Learn about service-to-service communication, traffic management, and how tools like Istio and Envoy can help manage microservices interactions and security.
Continuous Integration and Continuous Deployment (CI/CD)
Explore CI/CD practices for cloud-native applications. Learn about building automated pipelines for continuous integration and deployment, leveraging tools like Jenkins, GitLab CI, and CircleCI to streamline application delivery.
Monitoring and Observability
Study techniques for monitoring and observability in cloud-native environments. Learn about logging, metrics collection, and tracing to gain insights into application performance and troubleshoot issues effectively.
Scalability and Resilience
Learn how to design scalable and resilient cloud-native applications. Understand strategies for scaling applications horizontally, handling failures, and ensuring high availability through redundancy and fault tolerance.
Security in Cloud-Native Applications
Explore security practices for cloud-native applications. Learn about securing microservices, managing secrets, and implementing security policies to protect applications from vulnerabilities and attacks.
Case Studies and Hands-On Labs
Engage in case studies and hands-on labs to apply cloud-native architecture concepts. Practice designing, deploying, and managing cloud-native applications, and solve real-world scenarios in a controlled environment.
Exam Preparation and Study Tips
Prepare for cloud-native architecture certification exams with study tips, practice exams, and review materials. Familiarize yourself with exam formats, question types, and strategies to maximize your chances of success.
Cloud-Native Application Architecture syllabus
Introduction to Cloud-Native Architecture
- Evolution from Traditional to Cloud-Native Applications
- Characteristics and Principles of Cloud-Native Applications
- Benefits and Challenges of Cloud-Native Architecture
Microservices Architecture
- Fundamentals of Microservices
- Advantages Over Monolithic Architectures
- Design Principles (Bounded Contexts, Autonomy, etc.)
- Patterns (API Gateway, Circuit Breaker, etc.)
Containerization Technologies
- Introduction to Containers (Docker, Kubernetes, etc.)
- Benefits of Containerization in Cloud-Native Applications
- Container Orchestration and Management (Kubernetes, Docker Swarm)
- Docker Basics: Images, Containers, Registries
DevOps and CI/CD for Cloud-Native Applications
- DevOps Principles and Culture
- Continuous Integration (CI) and Continuous Delivery/Continuous Deployment (CD)
- Tools and Practices (Git, Jenkins, Travis CI, etc.)
- Automation in Building, Testing, and Deploying Cloud-Native Applications
Cloud-Native Application Development
- Designing for Scalability and Resilience
- Cloud-Native Patterns (e.g., Sidecar, Strangler Fig, etc.)
- Infrastructure as Code (IaC) and Configuration Management
- Serverless Computing Concepts and Use Cases (AWS Lambda, Azure Functions, etc.)
Cloud-Native Data Management
- Challenges in Data Management for Cloud-Native Applications
- Database Technologies (SQL, NoSQL, NewSQL)
- Data Caching and Synchronization Strategies
- Event-Driven Architecture and Messaging Patterns (Kafka, RabbitMQ, etc.)
Security and Compliance in Cloud-Native Applications
- Security Challenges in Cloud-Native Environments
- Identity and Access Management (IAM) in the Cloud
- Data Encryption and Secure Communication
- Compliance Requirements (GDPR, HIPAA, etc.)
Monitoring and Observability
- Importance of Monitoring and Observability in Cloud-Native Applications
- Tools and Techniques for Logging, Monitoring, and Tracing (Prometheus, ELK Stack, etc.)
- Metrics, Logs, and Distributed Tracing for Troubleshooting
Deployment Strategies and Practices
- Deployment Strategies (Blue-Green, Canary, Rolling Updates)
- A/B Testing and Feature Toggles
- Infrastructure Scaling and Auto-Scaling Strategies
Performance Optimization and Testing
- Performance Considerations in Cloud-Native Applications
- Load Testing and Stress Testing
- Performance Tuning Techniques
Governance and Cost Management
- Cost Optimization Strategies in the Cloud
- Resource Tagging and Cost Allocation
- Governance Policies and Practices
Case Studies and Real-World Applications
- Implementing Cloud-Native Architecture in Practical Scenarios
- Case Studies of Successful Cloud-Native Applications
- Challenges Faced and Lessons Learned
Future Trends in Cloud-Native Architecture
- Emerging Technologies and Trends (e.g., Service Mesh, Edge Computing)
- Impact of AI/ML on Cloud-Native Applications
- Predictions for the Future of Cloud-Native Architecture
Additional Resources
- Recommended Reading Materials, Case Studies, and Documentation
- Online Communities and Forums for Additional Support and Learning
Training
Basic Level Training
Duration : 1 Month
Advanced Level Training
Duration : 1 Month
Project Level Training
Duration : 1 Month
Total Training Period
Duration : 3 Months
Course Mode :
Available Online / Offline
Course Fees :
Please contact the office for details