Data Modelling
Schemas that encode your invariants so the database refuses to hold invalid state.
Foundation001
Service / Backend Architecture
Backends That Do Not Need Rewriting In A Year
Data models, service boundaries, and infrastructure designed for the load you will actually have, not the load a whiteboard diagram imagined.
- Every environment
- IaC
- End to end
- Typed
- From day one
- Observable
- At handover
- Documented
What is included
Inside Backend Architecture
The concrete pieces of work an engagement covers.
API Design
REST or GraphQL contracts that stay stable while the implementation underneath changes.
Interface002
Service Boundaries
Split only where the seam is real. Premature microservices cost more than they save.
Structure003
Infrastructure
Terraform-defined environments that anyone on the team can rebuild from scratch.
Platform004
Observability
Logs, traces, and metrics wired in as the system is built, not bolted on after an incident.
Operations005
Migration
Moving off a legacy system incrementally, with a rollback path at every step.
Transition006
Unique approach
What Changes With Us
Architecture decisions are cheap to make and expensive to reverse. That asymmetry drives how we work.
With DarCode
- Schema enforces invariants at the database
- Environments rebuilt from code in minutes
- Traces and metrics from the first deploy
- Service split only where a real seam exists
- Migration path with rollback at each step
- Runbooks written for your on-call, not ours
Typical alternative
- Validation scattered across application code
- One server nobody is willing to touch
- Observability added after the first outage
- Microservices by default, distributed monolith
- Big-bang cutover on a weekend
- Knowledge living in one contractor's head
How it runs
From Kickoff To Handover
The same sequence every time, compressed or extended to fit the engagement.
- 01
Audit
Read the code, the schema, and the incident history before proposing anything.
- 02
Model
Get the data model right. Most backend pain traces back to this decision.
- 03
Contract
Lock the API surface so frontend and backend can move independently.
- 04
Provision
Environments in Terraform, secrets managed, CI/CD wired end to end.
- 05
Operate
Dashboards, alerts, and runbooks handed to the team who will carry the pager.
Tooling
What We Reach For
Defaults, not dogma. The stack follows the problem.
- PostgreSQL
- Redis
- Kubernetes
- Terraform
- Docker
- AWS
- Google Cloud
- Kafka
FAQ
Frequently Asked Questions
Questions we get asked about backend architecture.
Frequently. Greenfield is the easier case. Most of our backend work starts with a system that already has users and cannot go down.
Postgres unless there is a specific reason not to. It handles relational, JSON, full-text, and vector workloads well enough that a second datastore is often unnecessary complexity.
Only where a genuine boundary exists. A well-structured monolith beats a distributed one at almost every stage a company will actually reach.
Your team. We hand over infrastructure-as-code, runbooks, and dashboards, and we stay available during a defined support window.
Get started
Let's Build It, Together
Tell us what you are trying to ship. We will tell you the three shortest paths to it, and which one we would actually take.