NextGenBeing Founder
Listen to Article
Loading...Introduction to Scalable Event-Driven Systems
Last quarter, our team discovered that our monolithic application was struggling to handle the increased load of 10M requests per day. We tried to scale vertically by increasing the instance size, but it wasn't enough. That's when we decided to explore event-driven systems using CQRS, Event Sourcing, and eBPF. Here's what we learned.
What is CQRS and Event Sourcing?
CQRS (Command Query Responsibility Segregation) is an architectural pattern that separates the responsibilities of handling commands and queries. Event Sourcing is a pattern that stores the history of an application's state as a sequence of events. We chose to implement CQRS and Event Sourcing using Rust because of its performance and concurrency features.
Implementing CQRS and Event Sourcing in Rust
We started by defining our aggregate roots and the events that would be triggered by each command. We used the serde library to serialize and deserialize our events and commands.
Unlock Premium Content
You've read 30% of this article
What's in the full article
- Complete step-by-step implementation guide
- Working code examples you can copy-paste
- Advanced techniques and pro tips
- Common mistakes to avoid
- Real-world examples and metrics
Don't have an account? Start your free trial
Join 10,000+ developers who love our premium content
Advertisement
Never Miss an Article
Get our best content delivered to your inbox weekly. No spam, unsubscribe anytime.
Comments (0)
Please log in to leave a comment.
Log InRelated Articles
Implementing Homomorphic Encryption with Microsoft SEAL 4.0 and Intel SGX: A Deep Dive into Secure Computation on Encrypted Data
Dec 19, 2025
Building a Scalable E-commerce Website with Laravel and React
Jan 3, 2026
Building a Decentralized Lending Protocol with Acala 2.1, Polkadot 0.9, and Substrate 4.0: A Step-by-Step Guide
Nov 20, 2025