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We design and build systems that handle millions of requests without failure: microservices, queues, horizontal scaling and fault tolerance. We connect fragmented services into a single flow through integration buses and APIs.
At peak hours the site and app slow down or go offline, customers can't pay or place orders. Every minute of downtime is lost revenue and reputation.
CRM, billing, warehouse, banks and government services live separately, data is moved manually or via fragile scripts. Desync, duplicates and errors appear.
A monolith on one server: if the database or node fails, the whole business stops. No redundancy, no automatic recovery, releases are risky.
OneDev designs systems from a load model and SLA, not by guesswork. We split the monolith into services, offload heavy operations to queues, add caching, replication and autoscaling. The result is predictable performance and zero-downtime operation even at peaks.
We split the system into independent services by business domain — each can be scaled and released separately without stopping the rest.
Kafka, RabbitMQ, NATS smooth out peaks and decouple services: heavy tasks run in the background, nothing is lost during traffic spikes.
Horizontal scaling, load balancing, DB replication and automatic failover. The failure of one node does not stop the service.
A unified integration layer (ESB/API Gateway) connects internal and external systems — banks, government services, payment gateways — through reliable contracts.
Designing services, domain boundaries and API contracts. Service discovery, configuration and request tracing between services.
Kafka, RabbitMQ, NATS for event-driven architecture, background jobs and guaranteed message delivery between components.
Horizontal autoscaling in Kubernetes, load balancers, sharding and database replication for traffic growth.
Redis, materialized views, indexes and read replicas. We cut load on the primary database and speed up reads many times over.
Connecting banks, payment systems, government services and external APIs through a single gateway with auth, rate limits and versioning.
Metrics, logs and tracing (Prometheus, Grafana, OpenTelemetry), alerts and dashboards. Problems are visible before customers notice them.
Redundancy, circuit breakers, retries and graceful degradation. Backups and a disaster recovery plan with clear RPO/RTO.
Simulating millions of requests (k6, JMeter, Gatling), finding bottlenecks and confirming SLA before going to production.
We study the current system, traffic profile and SLA goals. We identify bottlenecks and define performance requirements.
We prepare a diagram of services, data flows, queues and integrations. We agree on the stack, API contracts and scaling plan.
We build services iteratively, connect brokers, caching and external systems. CI/CD and automated tests from the first sprint.
We run the system under peak and stress load, eliminate bottlenecks and confirm the declared SLA.
We deploy to production with monitoring and alerts, and stand by at launch. After that — support, optimization and SLA-based development.
Payment and transaction processing with data integrity guarantees, protection against double charges and payday peaks.
Collecting and processing telemetry from thousands of devices in real time: fare payment, fleet monitoring, city services.
Platforms for public services with mass load and integration with government registries and inter-agency buses.
Catalogs, carts and checkout that withstand sales and ad campaigns without dropping conversion.
Ingesting data streams from sensors and devices, buffering in queues and processing events for real-time analytics and response.
Public and partner APIs with thousands of clients: rate limiting, versioning and stability under a growing number of integrations.
It depends on scope: refactoring bottlenecks and integrations start from a few weeks, a full microservice platform from several months. We give exact timelines after the audit and load model.
Pricing is individual and depends on architecture, target load, number of integrations and SLA requirements. After the audit we fix the scope and a transparent stage-by-stage estimate.
Go, Java, Node.js, Python for backend; PostgreSQL, ClickHouse, Redis for data; Kafka, RabbitMQ, NATS for queues; Kubernetes and Docker for infrastructure. We pick the stack to fit the task, not the other way around.
Yes. We connect CRM, ERP, billing, banks, payment gateways and government services via API or an integration bus. If a system has no API, we design adapters and exchange contracts.
We offer SLA-based support: 24/7 monitoring, incident response, updates and system evolution. The support level is fixed in the contract to match your requirements.
Yes. Source code, infrastructure as code, architecture diagrams and documentation belong to you and are handed over in full. You aren't locked in and can keep developing the system with any team.
Tell us about your task — we'll run an audit, assess the architecture and propose a solution for your scale and SLA.
Contact us