Cloud Native Software Development
Hands-on training for developing, deploying, and operating cloud-native applications using modern DevOps practices
Cloud Native Software Development
Course Overview
This three-day intensive course is designed for DevOps professionals who want to develop, deploy, and operate modern cloud-native applications. The training focuses on microservices architecture, containerization, CI/CD processes, infrastructure as code, and resilient operations on Kubernetes. Theoretical input is complemented by hands-on labs and real-world scenarios.
What You Will Learn
- Cloud-Native Architecture: Microservices, API design, scalable services, and decoupled components
- DevOps Best Practices: Automation, CI/CD pipelines, monitoring, and observability
- Cloud-Native Tooling: Kubernetes, Helm, ArgoCD, GitOps, and service meshes
- CI/CD and Deployment: Strategies for fast, secure, and reproducible software delivery
- Operations & Scalability: Resilience, horizontal scaling, self-healing, and high availability
Course Modules
Cloud-Native System Architecture
Fundamentals and Patterns for Scalable Cloud Architectures
- Differences between traditional and cloud-native systems
- 12-Factor App, API-first design, infrastructure as code (IaC)
- Monolith vs. microservices – pros and cons
- Communication patterns: REST, gRPC, event-driven architectures
- Exercise: Designing a high-level architecture for a cloud-native sample application
Domain-Driven Design & Service Interfaces
- Bounded contexts and strategic DDD
- OpenAPI and contract-first development
- Service contracts and cross-team boundaries
- Exercise: Modeling APIs and services based on a real-world use case
Containerization & Platform Integration
Container Lifecycle & Kubernetes Integration
- Best practices for container images
- Build processes with Docker and Podman
- Introduction to Kubernetes as a container orchestration platform
- Exercise: Containerize a sample app & deploy to Kubernetes
CI/CD, Deployment & Automation
Pipeline Design and GitOps
- CI/CD with GitLab CI, GitHub Actions, or Jenkins
- GitOps workflows with ArgoCD or FluxCD
- Secret management and security in the CI/CD process
- Exercise: Build a complete GitOps CI/CD pipeline
Helm, Deployment Strategies & Resource Management
- Packaging with Helm Charts
- Custom Resource Definitions (CRDs) and the Operator pattern
- Real-world deployment strategies:
- Rolling updates
- Recreate
- Blue/Green
- Canary releases
- Exercise: Deploy an app using Helm with a canary release and rollback
Operations, Scalability & Resilience
Service Mesh & Observability
- Introduction to Istio or Linkerd
- Metrics, logs, and tracing with Prometheus, Grafana, Loki, Jaeger
- OpenTelemetry as an observability standard
- Exercise: Implement a service mesh and monitor a sample application
Scaling, Resilience & Self-Healing
- Scaling with HPA, VPA, and Cluster Autoscaler
- Self-healing with probes and ReplicaSets
- Resilience patterns and chaos engineering
- Exercise: Simulate failures and recovery with Kubernetes self-healing mechanisms
Prerequisites
- Experience with container technologies (e.g., Docker)
- Familiarity with DevOps practices and CI/CD pipelines
- Basic knowledge of Kubernetes and cloud platforms (AWS, Azure, GCP)
- Comfortable using Git, YAML, and CLI tools
Who Should Attend
- DevOps engineers and platform engineers
- Software developers building cloud-native applications
- SREs responsible for production-grade deployments
- Architects designing and operating modern microservice architectures