Brief
This self-study module introduces Serverless Architecture, focusing on its core concepts, key benefits, and widely used tools. It lays the foundation for understanding how serverless computing eliminates server management tasks and enables developers to focus on code logic.
Videos
- What is Serverless Architecture?
- Understand the basics of serverless architecture and how it works.
- Watch the video: https://www.youtube.com/watch?v=YoBfFwsoWIU&ab_channel=EyeonTech
- Serverless Computing Explained
- Explore how serverless platforms operate and their use cases.
- Watch the video: https://www.youtube.com/watch?v=RzsaM6kL1FU
- AWS Lambda Overview
- Learn about AWS Lambda and how it enables function execution without managing servers.
- Watch the video: https://www.youtube.com/watch?v=eOBq__h4OJ4
Readings
- Introduction to Serverless Architecture
- Learn the core concepts and advantages of serverless computing.
- Read more: https://www.redhat.com/en/topics/cloud-native-apps/what-is-serverless
- AWS Serverless
- Understand AWS’s serverless offerings and their capabilities.
- Read more: https://aws.amazon.com/serverless/
- Serverless Benefits
- Explore the key benefits of serverless architecture, including scalability, cost efficiency, and reduced operational overhead.
- Read more: https://www.cloudflare.com/learning/serverless/what-is-serverless/
Key Concepts
- What is Serverless Architecture?
- A cloud computing model where developers build and deploy applications without managing infrastructure.
- Core Features of Serverless
- Event-Driven Execution: Functions are triggered by specific events.
- Automatic Scaling: Resources automatically scale based on demand.
- Pay-as-You-Go: Charges are incurred only when functions are executed.
- Popular Serverless Services
- AWS Lambda: Executes serverless functions in response to events.
- Google Cloud Functions: Allows event-driven function execution in Google Cloud.
- Azure Functions: Microsoft’s serverless computing service.
- Common Use Cases
- APIs: Backend for web and mobile applications.
- Data Processing: ETL tasks, log analysis, and real-time data streaming.
- Automation: Scheduled tasks and workflows.
Comments
Post a Comment