The cloud’s ease of scaling is essential for handling distributed microservices architecture—but also proves extremely costly! In this series of liveProjects, you’ll implement different cost-saving techniques to help reduce unnecessary cloud usage by microservices without affecting platform availability. Each liveProject explores a different technique to save your company money on their cloud bill.
These projects are designed for learning purposes and are not complete, production-ready applications or solutions.
here's what's included
Project 1 Reduce Traffic
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 2 Compress Communications
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.
Project 3 Prevent Duplicate Requests
In this liveProject, you’ll reduce duplicate search requests in an e-commerce store to bring down unnecessary data usage of microservices. You’ll implement caching and database functionalities that can reduce search duplication during key promotional events like Black Friday, and set up a synchronization of search requests which occur at the same moment.
Project 4 Circuit Breaker
In this liveProject, you’ll implement bug and error fixes in your microservices to reduce unnecessary and costly data traffic. You’ll implement a Circuit Breaker to prevent sending requests to unhealthy requesters, set up a Fallback method that gives microservices a default behavior with errors, and work with rate limiters to prevent large numbers of requests to an API.