The document discusses serverless architecture and how a company called Vingle adapted it. It provides an overview of serverless concepts like AWS Lambda and discusses how Vingle built different microservices like an interest service and search service using a serverless approach with AWS Lambda and DynamoDB. It also discusses some challenges of using this approach like sharing models between services, dealing with massive amounts of code, and migrating data.

1. TechTalk@Vingle
Serverless in Startup

2. Overview

3. What Is Serverless?

4. What Is Serverless?
Bare Metal
Cloud Instance
- VMWare
- EC2
Container
- Docker
- Kubernetes
- Chef
- Heroku
Serverless
- AWS Lambda
- Google App Engine

5. What Is Serverless?
- Function As A Service (FaaS)
- Code를 올리기만 하면
- Deployment
- Scaling
- Monitoring
- Event Driven Architecture 로도 설명
- AWS Lambda

6. What Is Serverless?
Service

7. What Is Serverless "Service"?
- Serverless System과 함께 작동할수 있는 Service들
- Fully Managed
- Cloud based
- Usually Pay-As-You-Go
- Unlimited scalability (Usually)
- API Based

8. - 요구사항 분석
- Software 설계
- Software 개발
- Infra 설계
- Infra 관리
- Infra Scaling
- Software 배포
- 요구사항 분석
- Software 설계
- Software 개발
- Software 배포
What does "developers" do

10. How Vingle Adapted It

11. Report Service Tracking Card Service
Feed Interest
Tier1 - Edge
- Dynamic Routing
- Ruby On Rails & Nginx
- Living in EC2
Tier2 - Microservices
- Domain Specific business Logics
- Totally Serverless
- Typescript, Lambda & DynamoDB

13. Search Service in
Serverless Architecture

14. 목차
1. Overview
2. Interest Service
4. Search Service Example
3. AWS Service in Interest Service
5. Interest Search Service
6. Interest Search Service 를 개발하면서..
7. Q & A

15. Overview

16. Interest Service

17. Interest Service
GET /interests/:interest
PUT /cards/:cardId/interests
EX)
vingle-sdk aws-sdk
dynamodb models

18. AWS Service in Interest Service
Lambda
- Serverless Compute
- Support Auto Scaling
- Pay only consumed time

19. AWS Service in Interest Service
DynamoDB
- AWS NoSQL DB
- Scalable
- Support Autoscaling
- Support Streaming

20. Search Service Example

21. AWS Service in Interest Search Service
CloudSearch
- Pay only consumed time
- Serverless Service
- Support Autoscaling

22. Interest Search Service
.
.
.
vingle-sdk aws-sdk aws-sdk
aws-sdk
dynamodb-stream
dynamodb models
Interest Service

23. Interest Search Service 를 개발하면서..
1. Model Share in different service
2. Massive Code
3. Data migration

24. Model Share in different services

25. Massive Code
Interest Service
User Service

26. Data Migration
DynamoDB Read Capacity

27. Q & A

28. Live Coding

29. AWS Rekognition

30. Requirements
- Upload image URL to server
- POST /images { url: “http://images.com/image” }
- Read image from URL
- Send image to AWS Rekognition and get Labels
- Save Image URL / Labels to DynamoDB
- Search DynamoDB with given Query and return image URL
- GET /images?q=Sulii

31. Q & A