Visão Geral

O curso Cloud-Native Development apresenta os conceitos, práticas e tecnologias necessárias para projetar, desenvolver, implantar e operar aplicações modernas em ambientes de computação em nuvem. O curso aborda desde fundamentos de cloud computing até arquiteturas cloud-native, microserviços, containers, Kubernetes, DevOps, CI/CD, PaaS, Serverless e serviços de dados em nuvem, com foco em aplicações escaláveis, resilientes e automatizadas.

Objetivo

Após realizar este curso Cloud-Native Development, você será capaz de:

• Compreender os fundamentos de cloud computing
• Identificar modelos de implantação e serviço em nuvem
• Aplicar princípios de desenvolvimento cloud-native
• Projetar arquiteturas baseadas em microserviços
• Containerizar e orquestrar aplicações com Docker e Kubernetes
• Automatizar pipelines de CI/CD
• Utilizar PaaS, Serverless e serviços de dados em nuvem
• Implementar boas práticas de DevOps e automação

Publico Alvo

• Desenvolvedores de software
• Engenheiros de cloud
• Engenheiros DevOps
• Arquitetos de soluções
• Profissionais de TI em transição para cloud-native
• Estudantes de tecnologia

Pre-Requisitos

• Conhecimentos básicos de programação
• Noções de sistemas operacionais
• Fundamentos de redes
• Familiaridade com conceitos básicos de TI

Materiais

Conteúdo Programatico

Module 1: Cloud Computing Overview

1. Cloud Computing Fundamentals
2. Cloud Deployment Models
3. Public Cloud
4. Private Cloud
5. Community Cloud
6. Hybrid Cloud
7. Multi-Cloud
8. Cloud Platforms Overview
9. AWS
10. Google Cloud
11. Azure
12. OpenStack
13. Cloud Service Models
14. IaaS
15. PaaS
16. SaaS
17. Managed and Serverless Services
18. IT Ops, SysOps, DevOps, Low Ops, and No Ops
19. Activity: Planning the Case Study Architecture

Module 2: Cloud-Native Development

1. What Is Cloud-Native
2. Traditional Development vs Cloud-Native
3. Agile Practices
4. Feature-Driven Development
5. Value-Driven Development
6. Agile Teams
7. Writing User Stories
8. Activity: Analyzing the Case Study Requirements
9. Automation and DevOps
10. Infrastructure as Code (IaC)
11. Continuous Integration and Continuous Delivery (CI/CD)

Module 3: Microservices

1. Introduction to Microservices
2. Monolithic vs Microservice Applications
3. Recognizing Microservice Boundaries
4. Stateful vs Stateless Services
5. Managing Databases in Microservices
6. Activity: Architecting Microservice Applications
7. Twelve-Factor Apps
8. The Twelve Factors
9. Implementing Twelve-Factor Apps
10. Microservice Architecture
11. Designing Loosely-Coupled Services
12. Communicating Between Microservices
13. REST
14. gRPC
15. OpenAPI
16. Activity: Running the Case Study

Module 4: Application Lifecycle Management

1. Package Management
2. Managing Application Dependencies
3. Maven and Gradle
4. Pip
5. NPM
6. NuGet
7. Source Control
8. Git
9. Basic Git Commands
10. GitHub
11. Version Control with Git on the Cloud
12. Activity: Using Git with the Case Study
13. Version Control and Collaboration
14. Branching and Merging Strategies
15. Activity: Branching and Collaboration

Module 5: Docker

1. Understanding Docker
2. Containers
3. Advantages of Containers
4. Images
5. Using Docker
6. Basic Docker Commands
7. Building Docker Images
8. Dockerfile
9. Starting Containers
10. Stopping Containers
11. Deleting Containers and Images
12. Activity: Containerizing the Case Study
13. Deploying Docker Containers
14. Container Registries
15. Push and Pull
16. Activity: Managing Docker Containers in a Container Registry

Module 6: Kubernetes

1. Kubernetes Clusters
2. Kubernetes Architecture
3. EKS
4. GKE
5. AKS
6. OpenShift
7. Minikube
8. Kubernetes Overview
9. Basic Kubernetes Commands
10. Pods
11. Deployments
12. Services
13. Autoscalers
14. Health Checkers
15. Liveness and Readiness Probes
16. Configuration
17. Activity: Deploying the Case Study Services to Kubernetes
18. Kubernetes Security
19. Role-Based Access Control
20. Encryption
21. Secrets
22. Helm
23. Helm Charts
24. Helm Repos
25. Activity: Using Helm

Module 7: DevOps Automation and CI/CD

1. Automation and DevOps
2. Automated Testing
3. Source and Version Control
4. Automated Builds
5. Infrastructure as Code
6. Continuous Integration
7. Continuous Deployment
8. CI/CD Pipelines
9. Cloud-Based CI/CD Tools
10. Jenkins
11. Spinnaker
12. Terraform
13. GitHub Actions
14. Activity: Building a CI Pipeline

Module 8: Platform as a Service and Serverless

1. Automated Platforms
2. Azure App Service
3. AWS Elastic Beanstalk
4. Google App Engine
5. Serverless Platforms
6. Serverless and NoOps Computing
7. Azure Functions
8. AWS Lambda Functions
9. Google Cloud Functions
10. Cloud Run
11. Other Serverless Services
12. Demo: Deploying an Application Using PaaS and Serverless

Module 9: Cloud Data Services

1. Storing Binary Data
2. Azure Blob Storage
3. Amazon S3
4. Google Cloud Storage
5. Relational Data Services
6. Azure Databases
7. AWS RDS
8. Google Cloud SQL
9. Cloud Spanner
10. NoSQL Data Services
11. Cosmos DB
12. DynamoDB
13. Firestore
14. Bigtable
15. Caching Concepts
16. Redis
17. ElastiCache
18. Memorystore
19. Activity: Adding a Database to the Case Study