APIs & Automation

High-Performance Backend Architecture

Our APIs are built on Go—chosen for its exceptional performance, compile-time safety, and effortless concurrency. Combined with the Gin framework, PostgreSQL with vector extensions, and Redis for caching, we deliver backends that handle thousands of requests per second while maintaining sub-100ms response times.

But performance is just the foundation. Every API we build includes comprehensive observability from day one: request tracing, performance metrics, error tracking, and detailed logging. When something goes wrong—or when you need to optimise—you have the visibility to understand exactly what's happening.

Architecture Principles

• RESTful Design: Clean, predictable endpoints following industry best practices for resource naming, versioning, and error handling.
• Comprehensive Auth: JWT-based authentication, role-based access control, and row-level security enforced at the database layer.
• Rate Limiting: Configurable limits per endpoint, per user, and per API key—protecting your infrastructure from abuse.
• Request Validation: Schema validation, type checking, and sanitisation before any data touches your business logic.
• Graceful Degradation: Circuit breakers, retry policies, and fallback handlers that keep your system running even when dependencies fail.

Event-Driven Automation: React in Real-Time

Static APIs that only respond to explicit requests are no longer enough. Modern systems need to react to events as they happen—an email arrives, a ticket is updated, a meeting transcript is ready, a deadline approaches. Our event-driven architecture enables automated responses to any trigger.

Using PostgreSQL's pgmq for reliable message queuing, we build automation pipelines that process events asynchronously, scale horizontally, and never lose data. Whether you're building notification systems, workflow automation, or AI-triggered actions—the infrastructure handles it reliably.

Automation Patterns

• Email Processing: Automatic classification, priority scoring, and routing of incoming emails based on sender, content, and context.
• Calendar Intelligence: Event detection, scheduling conflict resolution, and automated preparation of meeting materials.
• Issue Tracking: Bi-directional sync with Jira, Linear, and other project tools—keeping data consistent across systems.
• Document Workflows: Triggered processing when files are uploaded, modified, or shared—extraction, analysis, and notification.
• Custom Triggers: Business-specific automation based on any combination of events, conditions, and actions.

Observable by Design: See Everything

APIs without observability are black boxes—when things go wrong, you're guessing at causes. Every system we build includes comprehensive tracing from day one, giving you visibility into request flows, performance bottlenecks, and error patterns.

Our observability goes beyond basic logging. We capture the intent behind requests, the decisions made during processing, the results at each step, and the quality of final outputs. For AI-powered systems, this means understanding not just what happened, but why the AI made specific choices.

Observability Features

• Distributed Tracing: Follow requests across services, databases, and external APIs with correlated trace IDs.
• Span Hierarchy: See the breakdown of time spent in each operation—identify bottlenecks at a glance.
• Custom Metrics: Business-specific metrics alongside technical performance data—understand both system health and business impact.
• AI Decision Tracking: For AI-powered endpoints, capture planning decisions, tool selections, and confidence scores.
• Error Analysis: Automatic categorisation of failures with suggested remediation and pattern detection.

Enterprise Security: Built In, Not Bolted On

Security isn't an afterthought in our API development—it's fundamental to every design decision. From encrypted credential storage to row-level database security, from audit logging to penetration testing, we build systems that meet enterprise security requirements without compromising performance.

Security Framework

• Encrypted Credentials: AES-256-GCM encryption for all stored tokens and API keys, with secure key management.
• Row-Level Security: Database-enforced access control ensuring users can only access their own data—even if application code has bugs.
• Audit Logging: Complete records of who did what, when, and from where—meeting compliance requirements for regulated industries.
• Vulnerability Scanning: Regular automated security scans with manual penetration testing for critical systems.
• Incident Response: Documented procedures for security incidents with automated alerting and rapid response capabilities.