What you get, and what we build with
This page describes the documentation set handed over at the end of an engagement, the technologies we work in, and how integrations and migrations are actually handled. It is not a public API reference — SOCIA builds integrations rather than publishing a platform SDK.
What you receive at handover
Documentation is part of delivery, not an optional extra. If your team cannot deploy a change, read a dashboard and restore a backup without us, the engagement is not finished.
Source & Architecture
The codebase and the reasoning behind it, in your repository.
- Full source code, committed to your repository
- Architecture and component diagrams
- Data model and entity reference
- Environment and configuration guide
Operations
What your team needs to run the system without us.
- Deployment and release runbook
- CI/CD pipeline definitions
- Monitoring, alerting and escalation path
- Backup and restore procedure, tested
Interfaces
Every boundary the system exposes or consumes.
- OpenAPI or GraphQL schema, as applicable
- Authentication and access-control model
- Webhook and event contracts
- Third-party integration inventory
Technology we work in
We choose the stack from your constraints — what your team already operates, what you can hire for, and what the workload demands — not from a house preference.
Frontend
- React / Next.js
- Component UI with SSR and SSG where it applies
- TypeScript
- Type-checked application code
- Tailwind CSS
- Utility-first styling with a shared token layer
- React Native
- Cross-platform mobile from one codebase
Backend & APIs
- Node.js
- Server-side JavaScript services
- Python
- Services, data work and model hosting
- GraphQL / REST
- API layers chosen per consumer, not per fashion
- .NET
- Backends in Microsoft-centric estates
Cloud & Delivery
- AWS / Azure / GCP
- Chosen from your existing estate and constraints
- Docker & Kubernetes
- Containerised workloads and orchestration
- CI/CD Pipelines
- Automated build, test and deployment
- Terraform (IaC)
- Reproducible infrastructure definitions
AI & Data
- PyTorch / TensorFlow
- Model training and serving, where a model is warranted
- NLP & Vision
- Extraction, classification and inspection tasks
- Data Pipelines
- Batch and streaming ETL with Spark or Airflow
- Forecasting
- Demand, load and anomaly prediction against your history
Security
- Least-privilege access
- Scoped service accounts and role-based permissions
- OAuth 2.0 / OIDC / SAML
- Federated authentication with your identity provider
- Encryption
- TLS in transit, AES-256 at rest
- Compliance controls
- Controls for the regulations that apply to you — see Standards & Claims
Monitoring
- Application monitoring
- Health checks, latency and error tracking
- Log aggregation
- Structured logs your existing stack can ingest
- Dashboards
- The operational metrics that matter, not a wall of charts
- Alerting
- Thresholds and escalation agreed with your on-call process
Integration and migration
The questions that decide whether a project is straightforward or difficult, answered without a sales gloss.
Need documentation for a system you already run?
We will read the code, write down what it does, and tell you where the risk actually sits.