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Minimize Costs

Reduce Traffic you own this product

This free project is part of the liveProject series Minimize Costs in Cloud-Based Microservices
basic Java • basic Maven • basic Spring • basic Docker and Docker Compose
skills learned
working with an internal cache in each instance of microservices • working with a cache in front of a particular API • best practices and pros/cons of caching mechanisms
Andres Sacco
1 week · 4-6 hours per week · INTERMEDIATE

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In this liveProject, you’ll improve the caching mechanism between a Catalog API and microservices. This will reduce the number of unnecessary requests, and reduce costs from your cloud provider. You’ll explore near cache, remote cache, and proxy cache mechanisms, then evaluate the pros-and-cons of each approach.

project author

Andres Sacco

Andres Sacco is a technical leader at Prisma who has experience with many different languages including Java, PHP, and Node.js. At his previous job, Andres helped to find alternative ways to optimize data transfer between microservices, which reduced the cost of infrastructure by 55%. Before introducing these optimizations, he investigated different testing methods for better coverage than unit tests of the microservices. He also dictated internal courses about new technologies and has written articles on Medium. Andres is a co-author of the book Beginning Scala 3, from Apress.


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:

  • 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
  • Understanding the principles of REST
  • Basic knowledge of microservices

you will learn

In this liveProject, you’ll learn easy-to-implement techniques for reducing unnecessary data transfer between microservices.

  • Working with an internal cache in each instance of microservices
  • Working with a cache in front a particular API
  • Best practices and pros/cons of each mechanism of cache


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