API design & integrations
Define contracts that consumers can depend on, including validation, permissions, errors, and versioning. Plan timeouts and retries for third-party systems that may respond slowly or become unavailable.
Backend & Distributed Systems
Reliable services behind every product decision.
Golang and Node.js backends, real-time APIs, and distributed workflows designed around reliability, data consistency, and operating needs.
Book a discovery callTHE BUSINESS NEED
Start with the problem.
Build what matters.
Slow APIs, brittle integrations, and unclear service boundaries can limit a product long before its user interface does. We design backend systems that make business behavior explicit and make failures easier to understand.
How we approach it
We establish latency, availability, and consistency requirements before choosing service boundaries. Implementation includes automated integration checks, failure-path tests, and observability. Load testing helps identify the next bottleneck instead of assuming every workload needs microservices.
CAPABILITY IN DETAIL
What this means in practice.
Specific engineering work, connected to a business need.
Service decomposition & availability
Separate services where ownership, scaling, or failure isolation justify the cost. High-availability architecture includes redundancy, health checks, recovery planning, and explicit handling of partial failure.
Data & background processing
Design PostgreSQL and MongoDB access patterns and use Redis purposefully. Background work includes idempotency, retry limits, scheduling, and recovery so failures remain visible and manageable.
Real-time & performance engineering
Build WebSocket interactions and event-driven updates with defined connection and delivery behavior. Measure slow paths, review queries, and validate performance against realistic workloads.
WHERE IT CAN HELP
Problems worth solving.
Illustrative engagement types, not claims about previous projects.
- APIs shared by web applications, partners, and internal tools
- Real-time operational interfaces and background processing
- Modernizing a backend that has outgrown its original boundaries
BEFORE WE BEGIN
Questions, answered.
Do you always recommend microservices?
No. A well-structured single application is often easier to develop and operate. We separate services when there is a clear operational or organizational reason.
What does scalability mean for a specific project?
We translate it into measurable workload, latency, availability, and data requirements. Those targets guide architecture and testing rather than a generic claim about unlimited scale.
LET’S BUILD WHAT’S NEXT
Have a complex
technology problem?
Bring the idea to a focused 15-minute call. No pitch deck, no obligation — just a clear read on whether we’re the right fit.