Services
Backend Architecture
Backend architecture consulting covers the design and implementation of scalable, resilient server-side systems. Building reliable systems is hard - building reliable systems around unreliable third-party services is harder. We specialise in designing and building backend architectures that scale, with deep expertise in RESTful and event-driven API integrations, microservices orchestration, complex integration ecosystems, and the edge cases - race conditions, cascading failures, retry storms - that only surface in production.
Overview
What is backend architecture?
Backend architecture is the discipline of designing the server-side systems that power your product - the databases, APIs, queues, services, and integrations that make everything work. Getting it right matters enormously: a well-designed backend scales smoothly and fails gracefully; a poorly designed one becomes the bottleneck that limits everything built on top of it.
We work with teams at two common inflection points. The first is when an existing system - typically one built to move fast - starts showing signs of structural strain: performance degradation under load, cascading failures when a third-party dependency goes down, or an architecture that has become too rigid for the product to evolve. The second is when a new system needs to be designed correctly from the start, with explicit attention to scalability, resilience, and integration complexity.
Our specific area of deep expertise is integration architecture - building systems that depend on third-party APIs, payment processors, logistics providers, and external data sources. These integrations introduce failure modes that are not present in isolated systems, and handling them correctly requires patterns and experience that most teams only develop the hard way.
Why it matters
When you need this
Production failures are expensive
Downtime costs real money - in lost revenue, in customer trust, and in the engineering time required to diagnose and fix. Many production failures are not random; they are the predictable result of architectural patterns that were never designed to handle real-world conditions.
Third-party dependencies fail
Every external API your system depends on will go down, return unexpected data, or change without notice at some point. Whether your system fails catastrophically or degrades gracefully in those moments is an architectural choice.
Early shortcuts compound
Architectural decisions made under time pressure at the start of a project compound over time. A system that works fine at 1,000 users may start showing structural cracks at 50,000 - and by then, fixing the foundations is a major project.
Data consistency is hard
Distributed systems, multiple services, and external integrations create complex data consistency challenges. Race conditions, duplicate processing, and partial failures are not edge cases - they happen in every production system.
Who it's for
Common scenarios
Illustrative scenarios - composites, not real clients - showing where this service makes the most impact.
CTO
Platform hitting performance limits at 10x original expected load
An ecommerce platform that grew fast is buckling during peak trading periods. The original architecture was built for a fraction of current load and leans on synchronous patterns that let timeouts cascade. We run a thorough architecture review, pinpoint the critical bottlenecks, and design a phased migration to an event-driven architecture with proper queue-based processing. Peak capacity improves dramatically - without a full rewrite.
Engineering Lead
Payment integration causing cascading failures across the platform
A fintech company's payment provider guarantees 99.5% uptime - which sounds fine until you realise it means roughly 44 hours of downtime a year. Whenever the provider is unavailable, the whole platform goes unstable, because the payment calls are synchronous with no proper timeout or circuit-breaker handling. We redesign the integration with real resilience patterns: circuit breakers, retry with exponential backoff, graceful degradation, and queue-based processing. Provider downtime stops taking the platform down with it.
Startup Founder
Building a new platform with complex multi-party integration requirements
A logistics startup needs a platform that integrates with a dozen carrier APIs - each with its own data format, authentication, and reliability quirks. Instead of ad-hoc integrations that become a maintenance nightmare, we design an integration abstraction layer: a normalised internal data model, standardised error handling, and a testing framework that lets new carriers be added without touching core business logic. The platform launches on schedule, and each new carrier is a matter of days rather than weeks.
How it works
System architecture
System Architecture
Client Apps
Web App
All clear
Mobile App
All clear
API Layer
API Gateway
All clear
Auth Service
Legacy auth
Core API
All clear
Data Layer
Primary DB
All clear
Cache
Near capacity
Message Queue
Single point of failure
Outcomes
What you get
Resilient architectures built for real-world conditions
API integrations that handle edge cases gracefully
Scalable systems built around non-scalable parts
Technical documentation and runbooks for your team
Related
Start with an audit
Not sure where you stand? An audit gives you clarity before committing to a full engagement.
FAQ
Common questions
When the decisions you are making will be difficult to reverse and have implications that extend across multiple systems or teams. Architecture is about trade-offs at the system level - performance vs consistency, flexibility vs simplicity, build vs buy. A senior developer will make these calls, but an architect will make them explicitly and document the reasoning.
Yes. We work across multiple languages and platforms - Python, Node.js, Go, Java, and others - and have no religious attachment to specific technologies. Our focus is on architectural patterns and principles that apply regardless of stack. We will recommend technology changes only when the current stack is genuinely limiting.
By designing defensively from the start. That means circuit breakers, retry policies with backoff, timeouts, fallback behaviours, and queue-based processing for anything non-urgent. The goal is to isolate your system from the failure modes of the things it depends on.
Software development produces working code. Architecture produces the design that determines how that code will be structured, how systems will communicate, where data will live, and how the whole system will behave under load and in failure conditions. Architecture happens before and alongside development.
We can do both, depending on what you need. Some engagements are architecture-only - we design the system, document it thoroughly, and hand over to your team to build. Others involve us in the implementation alongside your engineers. We are equally comfortable in both roles.
Ready to discuss backend architecture?
Every engagement starts with understanding your situation. Let's talk about what you need.