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Rust Web Programming

You're reading from   Rust Web Programming A hands-on guide to developing, packaging, and deploying fully functional Rust web applications

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Product type Paperback
Published in Jan 2023
Publisher Packt
ISBN-13 9781803234694
Length 666 pages
Edition 2nd Edition
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Author (1):
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Maxwell Flitton Maxwell Flitton
Author Profile Icon Maxwell Flitton
Maxwell Flitton
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Toc

Table of Contents (27) Chapters Close

Preface 1. Part 1:Getting Started with Rust Web Development FREE CHAPTER
2. Chapter 1: A Quick Introduction to Rust 3. Chapter 2: Designing Your Web Application in Rust 4. Part 2:Processing Data and Managing Displays
5. Chapter 3: Handling HTTP Requests 6. Chapter 4: Processing HTTP Requests 7. Chapter 5: Displaying Content in the Browser 8. Part 3:Data Persistence
9. Chapter 6: Data Persistence with PostgreSQL 10. Chapter 7: Managing User Sessions 11. Chapter 8: Building RESTful Services 12. Part 4:Testing and Deployment
13. Chapter 9: Testing Our Application Endpoints and Components 14. Chapter 10: Deploying Our Application on AWS 15. Chapter 11: Configuring HTTPS with NGINX on AWS 16. Part 5:Making Our Projects Flexible
17. Chapter 12: Recreating Our Application in Rocket 18. Chapter 13: Best Practices for a Clean Web App Repository 19. Part 6:Exploring Protocol Programming and Async Concepts with Low-Level Network Applications
20. Chapter 14: Exploring the Tokio Framework 21. Chapter 15: Accepting TCP Traffic with Tokio 22. Chapter 16: Building Protocols on Top of TCP 23. Chapter 17: Implementing Actors and Async with the Hyper Framework 24. Chapter 18: Queuing Tasks with Redis 25. Index 26. Other Books You May Enjoy

Breaking down our project

We are building a simulation platform where users can log in and interact with fake simulated people via chatbots to see what they say to the fake people. We want to see what the users say to the fake people at the end of the simulation session. The problem is that there are a lot of messages being sent to a fake person in a short amount of time. If we hit the database every time a message is sent, then we will put our database under a lot of strain. Let us say that a user asks a question every 20 seconds; this means we will be hitting the database 6 times per minute as there is a question and an answer per interaction. If we have 800 users running a session at the same time, then we can have up to 4,800 hits a minute. This can put a strain on the database. To reduce the strain on the database, we can build a server in Hyper that caches the chats and periodically sends multiple questions and answers to the database. Before moving forward, this is a chance...

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