Serverless Architecture (2019)

Course details

Serverless architecture moves computing from physical servers to the cloud. This course provides a broad overview of the different types of design patterns available for serverless application development and deployment. Instructor Lynn Langit covers the core concepts behind serverless, including its costs, benefits, and risks. Then she reviews serverless services, including messaging, storage, streaming, payment processing, and deployment, and related solutions: AWS Lambda, Kinesis, Auth0, Kubernetes, and more. She reviews cloud-native architectures for serverless applications that incorporate third-party APIs, notifications, Internet of Things sensors, big data, and machine learning. Plus, learn about emergent architectures that support migration and hybrid serverless functionality. Each chapter is illustrated with real-world use cases that showcase the cost, scalability, and productivity benefits of serverless architecture in action.

Learning objectives
Defining serverless architecture
Serverless services
Microservices
Serverless functions
Cloud-native serverless architecture
Serverless architecture for big data and machine learning
Emergent serverless architecture

Concepts

0. Introduction

01 - Understand serverless
02 - What you should know

1. Core Serverless Concepts

03 - Defining serverless applications
04 - Save money - serverless census example
05 - Categories and base architecture
06 - Which use cases are best serverless
07 - Reviewing the cost of cloud functions
08 - Risks of serverless patterns
09 - Benefits of serverless patterns
10 - Serverless security patterns

2. Serverless Service Patterns

11 - Serverless services
12 - Storage - Object storage and data lakes
13 - Events - Handling messages and streams
14 - Are microservices always serverless
15 - Events and microservice serverless data
16 - Common third-party API patterns
17 - Compute - Cloud functions
18 - Function layers and SAR
19 - Function deployment patterns
20 - What are serverless containers

3. Cloud-Native Serverless Architectures

21 - Building cloud-native architectures
22 - Pattern - Incorporating third-party APIs
23 - Pattern - Event notifications
24 - Pattern - Handle IoT events
25 - Pattern - Scalable search
26 - Pattern - ML classification
27 - Pattern - Real-time analysis and ML
28 - Pattern - Data lakes

4. Emergent Serverless

29 - Emergent serverless architectures
30 - Pattern - Migrate data warehouse
31 - Pattern - Enterprise IoT
32 - Pattern - Genomic analysis
33 - Pattern - CI CD pipeline

Conclusion

34 - Next steps

Serverless Architecture (2019)

Authors

Lynn Langit