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Architecting Cloud-Native Serverless Solutions

You're reading from   Architecting Cloud-Native Serverless Solutions Design, build, and operate serverless solutions on cloud and open source platforms

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Product type Paperback
Published in Jun 2023
Publisher Packt
ISBN-13 9781803230085
Length 350 pages
Edition 1st Edition
Concepts
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Authors (2):
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Aditya Krishnakumar Aditya Krishnakumar
Author Profile Icon Aditya Krishnakumar
Aditya Krishnakumar
Safeer CM Safeer CM
Author Profile Icon Safeer CM
Safeer CM
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Toc

Table of Contents (17) Chapters Close

Preface 1. Part 1 – Serverless Essentials
2. Chapter 1: Serverless Computing and Function as a Service FREE CHAPTER 3. Chapter 2: Backend as a Service and Powerful Serverless Platforms 4. Part 2 – Platforms and Solutions in Action
5. Chapter 3: Serverless Solutions in AWS 6. Chapter 4: Serverless Solutions in Azure 7. Chapter 5: Serverless Solutions in GCP 8. Chapter 6: Serverless Cloudflare 9. Chapter 7: Kubernetes, Knative and OpenFaaS 10. Chapter 8: Self-Hosted FaaS with Apache OpenWhisk 11. Part 3 – Design, Build, and Operate Serverless
12. Chapter 9: Implementing DevOps Practices for Serverless 13. Chapter 10: Serverless Security, Observability, and Best Practices 14. Chapter 11: Architectural and Design Patterns for Serverless 15. Index 16. Other Books You May Enjoy

Cloudflare Workers KV

Workers KV is a key-value store offering from Cloudflare. This store is globally distributed and provides low latency access to the key values. Worker KV is tuned for high-volume reads while supporting relatively low-volume writes. The more data is read, the better performance it provides. The KV architecture ensures that frequently accessed key values are pushed to and accessible from all edge locations while infrequently read key values are stored centrally in limited data centers.

KV is an eventually consistent data store. This means that a modification made at a specific edge location will reflect the change immediately locally but will take time to propagate to all edge data centers. As per the documentation, the ideal time for propagation is 60 seconds, but this could be longer for locations where the same key was accessed recently (and an older version of the value was returned). This is due to the caching nature of the key values at the edge. The old...

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