AWS Lambda function

- Introducing serverless
- Lambda best practices
- Principles of serverless architecture
- Serverless pros and cons
- Common serverless architecture
- Demo

Transcript

1. Deploying serverless
   apps in AWS
   Presenter: Thanh Nguyen
   

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2. Content
   - Introducing serverless
   - Lambda best practices
   - Principles of serverless architecture
   - Serverless pros and cons
   - Common serverless architecture
   - Demo
   

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3. Marketing buzzword: Serverless ?
   - Serverless is a method of deploying and running applications on cloud
   infrastructure. Serverless platform provider is responsible for capacity,
   scaling, balancing and monitoring
   - Characteristics of Lambda function:
   - Go to market
   - Low cost, adapt at scale
   - Build better applications, easier
   

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4. Lambda function on AWS
   

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5. Lambda execution model
   

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6. Anatomy of lambda function
   

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7. Lambda best practices
   - Minimize dependencies
   - Leverage “Max memory used” to right-size your functions to
   optimize cost
   - Delete large unused functions (75GB limit per region)
   

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8. How serverless starting
   

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9. 3-tier architecture VS serverless architecture
   

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10. Principles of serverless architecture
    - Write single-purpose stateless functions (single responsibility
    principle)
    - Create thicker, more powerful front-ends
    - Embrace third-party services
    

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11. Serverless pros and cons
    - Serverless is not a silver bullet in all circumstances. But serverless
    architecture are the latest advance for developers and
    organizations to think about, study and adopt
    

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12. Serverless cons
    - Not good for latency-sensitive apps
    - Lambda runs in the public cloud, so mission-critical apps shouldn’t
    be based on it
    - Increase complexity when moving from a monolithic approach to a
    more serverless approach
    

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13. Serverless pros
    - Serverless architecture allow developers focus on software design,
    code rather than infrastructure
    - Low cost, less code, scalable and flexible is good fit for
    startups that want to innovate and move quickly
    - For example:
    - Netflix use lambda to automate validate for backup completions
    - ConnectWise use lambda to process logs such as: extract, transform, load jobs,
    real-time file processing
    

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14. Compute as backend
    

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15. Compute as glue (pipeline)
    

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16. Demo
    

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