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• Serverless Computing Fundamentals:
o Definition and benefits of serverless computing
o Comparison with traditional server-based architectures
o Serverless computing models (FaaS, BaaS)
• Major Cloud Provider Serverless Offerings:
o AWS Lambda, Azure Functions, Google Cloud Functions
o Core concepts and features
• Serverless Architecture Patterns:
o Event-driven architectures
o Microservices architecture
• Function Development:
o Writing serverless functions using popular languages (Node.js, Python, Java)
o Function triggers and event sources
o Handling errors and exceptions
• Testing and Debugging Serverless Functions:
o Unit testing and integration testing
o Debugging techniques
• Deploying Serverless Functions:
o Deployment processes and tools
o Continuous integration and continuous delivery (CI/CD) for serverless
• Security Considerations:
o Authentication and authorization
o Data encryption and protection
o Security best practices for serverless functions
• Performance Optimization:
o Cold start optimization
o Memory and concurrency optimization
o Monitoring and logging
• Cost Optimization:
o Cost analysis and optimization techniques
o Serverless cost management strategies
• Integrating Serverless Functions with Other Services:
o Database integration (SQL and NoSQL)
o API gateways and microservices
o Message queues and event-driven architectures
• Serverless and Machine Learning:
o Training and deploying machine learning models serverlessly
o Serverless data pipelines and analytics
• Serverless for IoT and Real-time Applications:
o Building real-time applications with serverless
o IoT data processing and analysis
• Hands-on Lab:
o Building a serverless application
o Deploying and testing serverless functions
o Monitoring and optimizing serverless applications
• Serverless Trends and Future Directions:
o Serverless edge computing
o Serverless AI and machine learning
o Serverless for data engineering and analytics