Case study:: Cadenza, a subscription-based e-commerce platform
In the early stages of Cadenza.tech enterprise application, we had entire platform on MEAN Stack in the monolithic environment. We had 125 APIs almost in different categories such as user management, product management etc, and incurred INR 40000 per month on AWS Cloud platform. The main problem was the repetitive application crashes as well as huge costs.
Then we had an opportunity to explore microservices blog. I highly recommend this blog to next-gen developers.
The microservice approach encourages enterprises to become more agile, with cross-functional teams responsible for each service. Microservice architecture structures the application as a set of loosely coupled, collaborating services. Microservices are inherently distributed systems. Implementing such a company structure, as in Spotify or Netflix, can allow you to adapt and test new ideas quickly, and build strong ownership feelings across the teams.
Most large scale web sites including Netflix, Amazon and eBay have evolved from a monolithic architecture to a microservice architecture.
Cadenza First problem: App crashes
We started the modularising complete Cadenza.tech application as follows
a. User management
b. Product management
c. Order management
d. Plans management
e. Payment management
f. Algorithms
Each category had almost 5 or 6 APIs. By adopting micro-services pattern, we had great extent advantages such as.
1. Had an opportunity to code services independent of programming language & database. Eliminates any long-term commitment to a technology stack.
We wrote payment services in python and user management in nodejs.
2. Multiple teams worked in parallel
Frontend, backend and server (DevOps) teams worked in parallel. Teams loved coding microservices, as they were quite fine-grained versions. Debugging was easy peasy.
3. Enabled the continuous delivery and deployment of large, complex applications.
Cadenza second problem : Huge costs
Microservices can be easily hosted in the cloud, Docker environments, or any other server platform, and can be very easily scaled as each service can live on its own server(s), VPS(es) etc.
When dividing a monolithic platform into smaller pieces, each of them should be easy to deploy in an automatic way. Nowadays, we see two main concepts that facilitates such a process — containerization and serverless architecture.
By using Docker, we are able to easily run our Microservice oriented applications on our developer machines and then run the same setup on pre- and production servers.. Read more
Serverless/ FaaS(Function-as-a-Service) is easy to learn and implement, and it allows you to reduce the time to market. It also allowed us to reduce costs, and to scale easily. Read more
We’ve used both conventional servers for NodeJS/Python/Java APIs deployments and AWS Lambda for serverless apis. This hybrid architecture helped us in cutting down huge costs. Monthly cloud recurring costs reduced from 40k to ~7k. This was one of the biggest achievement at Cadenza.
Cadenza.tech scaled to serve 10k+ concurrent users.
Adaptation of Master-Slave database strategy was one the important decisions in reducing the costs. Soon I will be writing blog on it.
Happy exploration.
Learn — Grow — Glow
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