Compress Communications

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prerequisites
basic Java • basic Maven • basic Spring • basic Docker and Docker Compose
skills learned
compress traffic between different microservices • compress traffic between databases like Redis and microservices • remove the null values in the response of different microservices
Andres Sacco
1 week · 6-8 hours per week · INTERMEDIATE
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Look inside
In this liveProject, you’ll implement methods of compression to reduce the size of data that microservices return as a response. You’ll use the built-in compression tools of Spring Boot to set up microservices data responses in a gzip format, then explore using databases like Redis to compress data with the serializer of data offered by Spring Boot.
This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Andres Sacco

Andres Sacco is a technical leader at Prisma. He has experience with many programming languages including Java, PHP, and Node.js. At his previous job, Andres helped find alternative ways to optimize data transfers between microservices, which reduced the cost of infrastructure by fifty-five percent. A co-author of Beginning Scala 3, published by Apress, Andres has also dictated internal courses about new technologies and shared his expertise in articles on Medium.

prerequisites

This liveProject is for Java developers looking to reduce the costs of microservices architectures. To begin this liveProject, you will need to be familiar with:

TOOLS
  • Basic Java
  • Basics of any Java IDE: Eclipse, IntelliJ IDEA, Visual Studio Code
  • Basic Maven
  • Basic Spring and Spring Boot
  • Basic Docker and Docker Compose
TECHNIQUES
  • Understanding the principles of REST
  • Basic knowledge of microservices

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book resources
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Resources
🎙️ Manning's LiveProjects and Cloud Optimization ft. Troy Dreier and Andres Sacco show all

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