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Hands-On Microservices with Kubernetes

You're reading from   Hands-On Microservices with Kubernetes Build, deploy, and manage scalable microservices on Kubernetes

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Product type Paperback
Published in Jul 2019
Publisher
ISBN-13 9781789805468
Length 502 pages
Edition 1st Edition
Languages
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Author (1):
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Gigi Sayfan Gigi Sayfan
Author Profile Icon Gigi Sayfan
Gigi Sayfan
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Table of Contents (16) Chapters Close

Preface 1. Introduction to Kubernetes for Developers FREE CHAPTER 2. Getting Started with Microservices 3. Delinkcious - the Sample Application 4. Setting Up the CI/CD Pipeline 5. Configuring Microservices with Kubernetes 6. Securing Microservices on Kubernetes 7. Talking to the World - APIs and Load Balancers 8. Working with Stateful Services 9. Running Serverless Tasks on Kubernetes 10. Testing Microservices 11. Deploying Microservices 12. Monitoring, Logging, and Metrics 13. Service Mesh - Working with Istio 14. The Future of Microservices and Kubernetes 15. Other Books You May Enjoy

Storing data

We've seen how Go kit and our own code take an HTTP request with a JSON payload, translate it into a Go struct, invoke the service implementation, and encode the response as a JSON to return to the caller. Now, let's take a deeper look at the persistent storage of the data. The social graph manager is responsible for maintaining the followed/follower relationships between users. There are many options for storing such data, including relational databases, key-value stores, and, of course, graph databases, which may be the most natural. I chose to use a relational database at this stage because it is familiar, reliable, and can support the following necessary operations well:

  • Follow
  • Unfollow
  • Get followers
  • Get following

However, if we later discover that we prefer a different data store or extend the relational DB with some caching mechanism, it will be...

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