______ _______ _______ ___ _______ _______
| _ | | || || | | || |
| | || | ___|| || | | _ || ___|
| |_||_ | |___ | || | | |_| || |___
| __ || ___|| _|| | | ___|| ___|
| | | || |___ | |_ | | | | | |___
|___| |_||_______||_______||___| |___| |_______|
______ _______ _______ _______ __ __ __ __ _______ __ _ ______ _______ ______
| _ | | || || || |_| || |_| || || | | || | | || _ |
| | || | ___|| || _ || || || ___|| |_| || _ || ___|| | ||
| |_||_ | |___ | || | | || || || |___ | || | | || |___ | |_||_
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recipe recommendation API service for the following:
- recommend recipes
- search recipes
- Webflux - Reactive, Non-Blocking IO, Async
- Kotlin - Functional, Coroutine
- Elasticsearch
Recipe Recommender API service is deployed on public container instances of AWS ECS.
So, it is possible only on Prod to connect with AWS ES on Private Subnet.
In order words, It is impossible to connect with AWS ES on Dev. In development, we launch ES locally with docker-compose.
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Set Environment
- ES_URL=http://es01:9200
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Build * Run
# build image -> run elasticsearch -> migrate recipe data
> docker-compose up --build
# run server-
Deploy to Amazon ECS using github action
- path: .github/workflows/aws.yml
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Task Definition for ECS service
- path: ./task-definition.json
- env: ES_URL=https://vpc-omtm-recipe-elastic-mrjubur6xsdevr3mx5nfcdqof4.ap-northeast-2.es.amazonaws.com
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API Spec