Visão Geral
Este Curso Design Patterns com Amazon SQS e SNS para Microserviços, oferece uma compreensão detalhada dos padrões de design (Design Patterns) mais eficazes aplicados à construção de sistemas de microserviços usando Amazon SQS (Simple Queue Service) e SNS (Simple Notification Service). Você aprenderá como projetar arquiteturas escaláveis, desacopladas e resilientes, utilizando SQS e SNS para comunicação e orquestração de serviços. O Curso Design Patterns com Amazon SQS e SNS para Microserviços aborda cenários práticos e estratégias para garantir uma comunicação eficiente e segura entre microserviços, explorando desde o básico até o uso avançado dos serviços da AWS. Com uma abordagem prática e orientada a casos de uso, você será capaz de implementar padrões arquiteturais que facilitam a escalabilidade e a robustez das aplicações em ambientes de nuvem.
Conteúdo Programatico
Module 1: Introduction to Amazon SQS and SNS
- Overview of Amazon SQS and SNS
- Key Differences and Use Cases for SQS and SNS
- Benefits of Using Messaging and Notification Services in Microservices
- Setting Up an AWS Environment for SQS and SNS
Module 2: Microservices Architecture Basics
- Microservices Overview and Core Principles
- Common Challenges in Microservices Communication
- Introduction to Messaging Patterns in Microservices
- Choosing the Right Messaging Strategy for Your Architecture
Module 3: Implementing Asynchronous Communication with Amazon SQS
- Configuring Amazon SQS Queues for Reliable Messaging
- Managing Message Ordering, Delay, and Deduplication
- Implementing Message Filtering and Routing with SQS
- Ensuring Idempotency and Retry Mechanisms in Microservices
Module 4: Notification Patterns Using Amazon SNS
- Setting Up SNS Topics for Pub/Sub Architectures
- Working with Topic Subscriptions and Protocols
- Implementing Fanout Patterns with SNS for Event Broadcasting
- Managing Notifications and Error Handling in SNS
Module 5: Core Design Patterns for SQS and SNS
- Decoupling Services with Queue-Based Load Leveling
- Using Priority Queues for Task Management
- Request-Response and Command Query Responsibility Segregation (CQRS) Patterns
- Combining SQS and SNS for Hybrid Messaging Architectures
Module 6: Handling Fault Tolerance and Resilience
- Implementing Dead Letter Queues in SQS for Error Management
- Ensuring Fault Isolation and Recovery in Distributed Systems
- Strategies for Automatic Scaling of SQS and SNS-Based Services
- Leveraging AWS IAM for Access Control and Security
Module 7: Security and Compliance Best Practices
- Configuring IAM Roles and Policies for SQS and SNS
- Encrypting Messages for Compliance and Data Security
- Monitoring and Auditing with CloudWatch and CloudTrail
- Addressing Security Concerns in Message Transmission and Storage
Module 8: Integration with AWS Lambda and Other AWS Services
- Triggering AWS Lambda with SQS and SNS Events
- Building Event-Driven Microservices with Lambda
- Integrating SQS and SNS with Amazon RDS, DynamoDB, and S3
- Automating Workflows with Step Functions and Messaging Services
Module 9: Monitoring and Optimization
- Monitoring Queue Performance with Amazon CloudWatch
- Handling Latency and Throughput Optimization for SQS and SNS
- Setting Up Alarms and Notifications for Anomalies
- Fine-Tuning SQS and SNS for Cost-Effective Performance
Module 10: Advanced Topics and Real-World Use Cases
- Applying SQS and SNS in E-commerce, IoT, and Real-Time Data Processing
- Implementing Event Sourcing with Amazon SNS
- Utilizing SQS and SNS for Scalability in Large Enterprises
- Case Studies: Real-World Applications of Messaging Patterns in AWS
Module 11: Troubleshooting and Best Practices
- Common Pitfalls in SQS and SNS Configurations and How to Avoid Them
- Debugging Message Failures and Monitoring DLQs
- Best Practices for Scaling and Optimizing Messaging Workflows
- Future-Proofing Messaging Architectures for Growth and Demand