How Rococo Supercharged My Banking API: Immutability, Time-Travel Debugging & Event-Driven Workflows
When I started building a small banking API for learning purposes, I expected the hardest parts to be the API endpoints or the money transfer logic.
I was wrong.
The real challenge was data correctness over time.
If a customer deposits money, withdraws money, initiates a dispute, or reports that something went wrong earlier in the month, traditional CRUD becomes the enemy:
- Updates erase history
- Deletes destroy audit trails
- Logs can’t rebuild financial state
In financial systems, data is not just data — it’s truth.
This is where Rococo, a Python versioning + event-sourcing framework, completely changed the game for me.
🧠 Why CRUD is a trap in banking
Imagine a basic workflow:
Start balance: $0
Deposit $100 → balance = $100
Withdraw $20 → balance = $80
In traditional systems, the balance column gets overwritten twice.
So when a customer asks:
“What was my balance before I withdrew $20 on January 12?”
You can’t answer — because the previous state is gone.
With Rococo, every state transition becomes a new immutable version, creating a perfect historical timeline instead of destructive updates.
🔥 Rococo’s magic: Immutable Version Models
Here’s what my Account model looks like with Rococo:
@dataclass
class Account(VersionedModel):
def deposit(self, amount: float, actor_id: str) -> 'Account':
return replace(
self,
balance=self.balance + amount,
changed_by_id=actor_id,
changed_on=datetime.utcnow(),
previous_version=self.version,
version=str(uuid.uuid4())
)
Every deposit (or withdrawal) produces a brand-new version of the entity — nothing is overwritten.
This enables a superpower:
Time-travel debugging & dispute resolution
Calling:
GET /accounts/{account_id}/versions
returns the entire lifetime of an account:
| Version | Balance | Actor | Timestamp |
|---|---|---|---|
| v1 | $0 | system | 2024-01-01 |
| v2 | $100 | user-123 | 2024-01-02 |
| v3 | $80 | user-123 | 2024-01-03 |
Now when a user claims:
“My balance is wrong”
I don’t guess.
I show the exact historical truth.
🔒 Built-in audit trail — without writing custom audit code
Rococo automatically records:
- previous version
- new version
- who made the change
- when it happened
Here’s the kind of audit schema it creates:
id | entity_id | version | previous_version | balance | currency |
created_by_id | created_on | active
I didn’t write any audit logic at all — Rococo handled everything.
⚡ Event-driven architecture with zero friction
The next killer feature: auto-publishing events when an entity changes.
self.repo = BaseRepository(
adapter=self.adapter,
model=Account,
message_adapter=self.message_adapter,
queue_name="account_events"
)
Now every account update generates a message on the event bus (RabbitMQ, SQS, etc.)
This allowed my system to:
- trigger fraud detection workflows
- sync account balances to analytics
- push updates to the frontend in real-time
- track money movement in parallel systems without polling
Event-driven UX with almost no extra code.
🧩 System Architecture of the Project
FastAPI ⟶ Service Layer ⟶ Rococo Repository ⟶ PostgreSQL
⟶ Audit Table
⟶ Event Bus
Frontend stack: Vue 3
Backend stack: FastAPI + Rococo
Database: PostgreSQL
🔗 GitHub Repository: https://github.com/Khaleelhabeeb/banking_ledger
🔗 Live Demo: https://bankingledger.vercel.app
🏁 Final Thoughts
Rococo didn’t just make my banking API work —
it made it correct, traceable, and auditable.
Without extra effort, I gained:
- Zero-loss history of data
- Permanent audit trail
- Time-travel debugging
- Event sourcing with minimal complexity
If you’re working in a domain where truth and history matter more than speed, Rococo deserves a spot in your toolbox.
💬 Want to chat?
I’m actively experimenting with Rococo and plan to build more adapters (DynamoDB next 👀).
If you’re working with Rococo, event-driven architectures, or just enjoy these concepts — I’d love to connect.
Thanks for reading! 🙌
Top comments (0)