Concepts

Monolithic architectures create significant challenges: limited scalability, difficult maintenance, and tightly coupled components that require understanding the entire system to make any change. Event Modeling addresses these issues by providing a clear visual blueprint of system behavior that bridges the gap between technical and non-technical stakeholders, enabling better collaboration, faster validation of requirements, and early identification of design gaps, ultimately reducing development costs and time to market.

Developers often turn to design patterns to consistently uphold best practices to build efficient and scalable software applications. These patterns help developers create applications quicker and enable them to be easily understood and maintained by various team members. Just as the MVC pattern is used to build efficient web, desktop, and mobile applications, the Command-Query Responsibility Separation (CQRS) pattern is a robust tool for constructing efficient and scalable services within backend systems.

Many developers today aim to build efficient, scalable, and easily maintainable software systems. One design pattern that has proven effective in achieving this goal is event-driven architecture (EDA).

Creating software that’s both efficient and easy to maintain can be a challenge, but Domain-Driven Design (DDD) is a useful design approach to help developers and architects build applications that can both evolve and be maintained. This approach, envisioned by Eric Evans, encourages developers to focus on the core business concepts, combined with the logic and rules that keep everything together. Ready to explore how DDD can help you build better software? Let’s break it down.

If you've ever designed or developed large software applications, you may have noticed the scalability constraint of using a database as the single source of truth within your system. Whether you use a RDBMS such as Oracle or PostgresSQL, or a noSQL database like MongoDB, you inherently run into the issue where your system is not able to scale due to the limitations of your database.