BACKEND & APIS

Backend Technology Stack for Scalable Systems

We use a focused set of backend frameworks and languages to build APIs, services, and integrations that are secure, observable, and ready for growth.

Node.js, .NET, Python, Ruby on Rails, GraphQL, and PHP & Laravel each serve specific roles—from low‑latency APIs to high‑velocity product backends.

Service Topology
🧩 APIs

REST and GraphQL endpoints powering web, mobile, and agents.

⚙️ Services

Node.js, .NET, Python, and Laravel services for core logic.

🔌 Integrations

Connectors into databases, SaaS platforms, and event buses.

🛡️ Security

Auth, rate limits, and policies enforced at the edge and API layer.

📈 Observability

Tracing, logging, and metrics wired into every service.

📡 Events

Event‑driven patterns where latency, scale, or decoupling matter.

How We Shape Your Backend Architecture

We start with your product and data—not just favourite frameworks—and design a backend that can evolve with new features, traffic, and AI workloads.

Domain & Workload Fit

We match languages and runtimes to your workloads, latency profile, and data patterns, keeping complexity proportionate to actual needs.

APIs & Integrations

REST, GraphQL, and messaging patterns are chosen based on consumers—frontends, agents, and external partners—not just internal preferences.

Observability & Operations

Logging, metrics, tracing, and error handling are built in from day one so issues are easy to detect and debug in production.

Backend Technologies FAQs

Answers to common questions about how we design, build, and evolve backend systems on this stack.

How do you decide which backend technology to use?

We weigh your team\'s skills, existing investments, and product requirements, then propose a primary runtime (Node.js, .NET, Python, Rails, or Laravel) that balances speed of delivery with long‑term sustainability.

Can you work with our existing monolith or microservices?

Yes. We often stabilise and gradually modernise existing systems instead of rewriting them from scratch—paying down technical debt while continuing to ship features.

Do you prefer REST or GraphQL for APIs?

We use whatever best fits the shape of your clients and data. It is common to mix both: REST for core transactional flows and GraphQL for data‑heavy, product‑facing experiences.

How do you handle security and compliance on the backend?

We implement robust auth, input validation, rate limiting, and logging, and align with your compliance requirements around data residency, retention, and access.