raktalioEvent Sourcing
Data, in its raw form, is simply a collection of facts and figures. The real value emerges when we analyze this data, uncovering patterns, insights, and opportunities that can revolutionize industries. Effective data analysis leads to informed decision-making, predictive insights, and ultimately, innovation. But how do we ensure that our data is not just a static snapshot but a dynamic, evolving story?
- A composable event ledger is the brain and spine of your business.
- Instead of storing only the current state of an `object`, event sourcing records every change as a series of events. It`s your single source of truth.
- By analyzing historical events, we can identify trends and patterns that inform strategic decisions.
- By understanding every interaction, we can personalize and improve customer experiences.
Destructuring
In event-sourced systems, we don`t model state as a central, pre-built structure, like a traditional aggregate/entity with all its fields eagerly loaded. Instead, we derive state on demand, pulling together only the minimum relevant facts required to make a specific decision.
Those yellow sticky notes in the diagrams? They`re not “the state of the Order entity” or “the state of the Restaurant entity.” They represent just enough information to answer one question: “Can we process this command now?”
Each yellow sticky represents a small, focused composite of events, selectively extracted and pattern matched to form a locally sufficient truth.
Libraries (Kotlin | Rust | TypeScript)
Open-source libraries for functional domain modeling. Need help implementing these patterns in your organization? Explore our professional services
f{model} in Kotlin
Lightweight Kotlin library enabling functional and reactive domain modeling patterns
f(&model) in Rust
Lightweight Rust library enabling functional and safe domain modeling patterns
f(model) in TypeScript
Lightweight TypeScript library enabling functional and algebraic domain modeling patterns
f(decider) in TypeScript
Dynamic consistency boundary. Decider pattern. Progressive type refinement.