The document describes setting up a Kubernetes cluster on Google Cloud Platform with Nginx, Elasticsearch, and a Node.js web service. It defines user scenarios for full-text search, autocomplete, and aggregated search results. Diagrams show the search flow and simple Kubernetes architecture. The process documented the deployment of Elasticsearch on Kubernetes using clusters, services for discovery and load balancing, and configurations for the web service and Elasticsearch deployments and services.

1. Kubernetes
with Nginx and Elasticsearch
on GCP 2018.10.06
HyunJung Byun, JungGeun Lee
YoungHo Choi, ChiHwan Choi, HeeJung Hwang

2. Our Process for Hackathon
Define
user
scenarios
and project
scope
Discussion
for technical
plan on
Hangout
Have our
own
hackathon
within short
time on
offline
Design user scenarios
Draw the flow diagram
How to set docker file
How to set the pod
How to deliver the service

3. Requirements
* Support web service : Node.js, Nginx
* Support Full text search, Autocomplete, Aggregation : Elasticsearch
Scenario
1. Users can search the movie by full text search in web site
2. Users can autocomplete the search keyword
3. Search result should be aggregated by genre

4. Search Flow Diagram

5. Simple Architecture

6. Elasticsearch Cluster Architecture

7. Elasticsearch Kubernetes
Deployments

8. Elasticsearch Kubernetes
Service - Discovery

9. Elasticsearch Kubernetes
Service - LoadBalancer

10. Architecture

11. Web service Configuration
on Kubernetes
1. Create Dockerfile
2. Create Docker image
docker build -t movie-finder .

12. 3. Set Kubernetest
- Set Service
- Set replica
- Set LoadBalancer and port
Web service Configuration
on Kubernetes

13. Elasticsearch Configuration
on Kubernetes
1. Set Deployment
- Init Containers : setting for elasticsearch
- Set LoadBalancer and port
- Health check for elastic search
kubectl create -f deployment/elasticsearch.yaml

14. Elasticsearch Configuration
on Kubernetes
2. Set Service
- Set port for communication within
Elasticsearch
- Set the nodePort for accessing from outside
kubernetes
3. Create Service
kubectl create -f services/elasticsearch.yaml

15. Demo