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Building Enterprise JavaScript Applications

You're reading from  Building Enterprise JavaScript Applications

Product type Book
Published in Sep 2018
Publisher Packt
ISBN-13 9781788477321
Pages 764 pages
Edition 1st Edition
Languages
Author (1):
Daniel Li Daniel Li
Profile icon Daniel Li

Table of Contents (26) Chapters

Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
1. The Importance of Good Code 2. The State of JavaScript 3. Managing Version History with Git 4. Setting Up Development Tools 5. Writing End-to-End Tests 6. Storing Data in Elasticsearch 7. Modularizing Our Code 8. Writing Unit/Integration Tests 9. Designing Our API 10. Deploying Our Application on a VPS 11. Continuous Integration 12. Security – Authentication and Authorization 13. Documenting Our API 14. Creating UI with React 15. E2E Testing in React 16. Managing States with Redux 17. Migrating to Docker 18. Robust Infrastructure with Kubernetes 1. Other Books You May Enjoy Index

Configuring Elasticsearch cluster


From the output of kubectl describe pods (or kubectl get pod), we can see that the IP address of the Pod named elasticsearch-699c7dd54f-n5tmq is listed as 172.17.0.5. Since our machine is the node that this Pod runs on, we can access the Pod using this private IP address.

 

The Elasticsearch API should be listening to port 9200. Therefore, if we make a GET request to http://172.17.0.5:9200/, we should expect Elasticsearch to reply with a JSON object:

$ curl http://172.17.0.5:9200/
{
  "name" : "CKaMZGV",
  "cluster_name" : "docker-cluster",
  "cluster_uuid" : "dCAcFnvOQFuU8pTgw4utwQ",
  "version" : {
    "number" : "6.3.2",
    "lucene_version" : "7.3.1"
    ...
  },
  "tagline" : "You Know, for Search"
}

We can do the same for Pods elasticsearch-699c7dd54f-pft9k and elasticsearch-699c7dd54f-pm2wz, which have the IPs 172.17.0.4 and 172.17.0.6, respectively:

$ kubectl get pods -l app=elasticsearch -o=custom-columns=NAME:.metadata.name,IP:.status.podIP
NAME IP...
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