Backend and cloud for production systems
We design the reliable product core: APIs, data, events, background jobs, cloud infrastructure, observability and SRE.
How we build
Domain core and APIs
Backend should represent the business model. We design domains, contracts, data models, auth, permissions, versioning and integration boundaries for long-term clarity.
Realtime, queues and events
Complex systems use events, queues, workers, caching and realtime transport with explicit idempotency, retries, consistency and failure recovery.
Cloud, CI/CD and observability
Environments, automated delivery, secrets, logs, metrics, traces, health checks, backups and incident readiness are part of the product.
Working model
We choose per product; common choices include Node/TypeScript, Python, PostgreSQL, Redis and cloud services.
Yes, including environments, automated checks and release gates.
Backend, data and cloud as the product core
Backend architecture should represent the product domain rather than simply serve UI screens. We define contracts, data ownership, authentication, versioning, idempotency, retries, queues, events and integration boundaries so the system remains predictable under load and partial failure.
The cloud layer includes environments, CI/CD, secrets, deployment strategy, logs, metrics, traces, backups, health checks, autoscaling and incident readiness. Realtime and event-driven systems also need explicit ordering, consistency, recovery and capacity models.
Modernization starts with a dependency map and risk zones. Instead of a wholesale rewrite, we use incremental migration, compatibility layers and measurable reliability goals so the business can keep operating while the platform improves.