We build APIs, microservices, and real-time systems that handle millions of requests per day. 200+ products shipped, 98% on-time delivery.
IRPR builds backend systems that scale from day one. We use Node.js, Go, Python, and cloud-native tools like AWS Lambda, Kubernetes, and PostgreSQL. Every project starts with a clean architecture—no premature optimization, no fragile monoliths.
A typical backend MVP ships in 8 to 12 weeks with a fixed price between $80,000 and $250,000. We handle compliance out of the box: SOC 2 for SaaS, HIPAA for healthcare, PCI-DSS for fintech. Your code is production-ready from sprint one.
Three types of buyers hire us. CTOs of SaaS startups who need to scale from 10,000 to 1 million users. VP Engineering at fintech companies who need PCI-compliant payment processing. Technical founders launching high-traffic ecommerce or logistics platforms. They all want predictable timelines and architecture that won't break.
Build RESTful APIs with OpenAPI 3.0 specs, automatic Swagger docs, and rate limiting via Kong. Typical endpoints handle 50,000 req/s.
Decompose monolithic apps into Dockerized microservices orchestrated with Kubernetes. Each service scales independently with its own PostgreSQL or MongoDB.
Stream processing with Apache Kafka and Apache Flink. Ingests 1M events/second, reduces latency to under 100ms for fraud detection or live dashboards.
Serverless stacks using AWS Lambda, API Gateway, DynamoDB. Auto-scales from 0 to 10,000 requests without provisioning. Pay only for compute time.
GraphQL APIs using Apollo Server with federated schemas. Resolves nested data in a single query, cuts mobile payload size by 60% compared to REST.
Event-sourced systems with Apache Kafka or RabbitMQ. Enables CQRS, audit logs, and replay capabilities. Handles 100,000+ events/second.
Mobile-first backends using Firebase or custom Node.js with MongoDB. Integrates push notifications (Firebase Cloud Messaging), offline sync, and user auth via Auth0.
Centralized API gateway using Kong or NGINX plus custom middleware for auth (JWT/OAuth2), rate limiting, and request transformation. Handles 200K concurrent connections.
Scalability isn't an afterthought - it's baked into every layer.
We design for horizontal scaling from the start. Each service is stateless, writes to a shared data store (PostgreSQL with Citus or Cassandra), and can be replicated across AZs. We use Kubernetes to auto-scale pods based on CPU, memory, or custom metrics.
Typical benchmarks: a single microservice handles 10,000 req/s before scaling. With 10 replicas, that's 100,000 req/s. We load-test every endpoint using k6 or Locust, targeting p99 latency under 200ms. Uptime is guaranteed at 99.9% with multi-region deployments.
Most dev shops promise scale but deliver tech debt. We fix that.
We start with a 2-week Roadmap phase where we define every API endpoint, data model, and deployment target. No ambiguity. The quote is fixed before a single line of code is written. You know the price and timeline upfront.
We ship code to your repo daily from day one. Every PR is reviewed by a senior engineer. We enforce strict coding standards: TypeScript or Go, test coverage above 80%, and CI that runs linting, unit tests, and integration tests before merge.
Four phases, 8-12 weeks, with a clear deliverable at the end of each.
Phase 1 is Discovery: we analyze your traffic patterns, data flows, and compliance needs. Phase 2 is Roadmap: we produce a detailed spec with estimated API endpoints, database schemas, and deployment architecture. The price is locked here.
Phase 3 is Build: we work in 1-week sprints, demo every Friday, and ship to staging. Phase 4 is Release: we deploy to production, set up monitoring (Datadog, Sentry), and hand over documentation and runbooks.
Every deliverable is production-ready, not a prototype.
We deliver more than code. You get a fully automated deployment pipeline, monitoring dashboards, and documentation. Nothing is left for you to figure out after we hand over.
Our checklist ensures nothing is missed. Every project includes automated tests, CI/CD, and error tracking from the first sprint.
Built a PCI-DSS compliant payment gateway for a fintech startup. Handles 5,000 transactions per second with sub-100ms latency. Stack: Go, PostgreSQL, Redis, Stripe API. Reduced authorization time by 40%.
Replaced a monolithic Rails app with a microservices architecture for a SaaS company serving 500+ tenants. Each tenant isolated in a separate PostgreSQL schema. Stack: Node.js, Kubernetes, PostgreSQL, RabbitMQ. Onboarded new tenants in 15 minutes instead of 2 days.
Designed a horizontal-scaling checkout service for a D2C brand with 1M monthly visitors. Reduced page load time by 60% during Black Friday. Stack: Python, FastAPI, DynamoDB, CloudFront. Scaled to 10,000 concurrent sessions with zero downtime.
Developed a video consultation platform with real-time data sync. All PHI encrypted at rest and in transit. Stack: Node.js, Twilio Video, MongoDB Atlas, AWS HealthLake. Handles 10,000 daily sessions with <200ms database queries.
Built an event-driven pipeline for a logistics company processing 50,000 sensor readings per second. Ingested via MQTT, processed with Kafka Streams, stored in InfluxDB. Reduced data latency from 5 seconds to 200ms.
Unified four separate REST APIs into a single GraphQL endpoint using Apollo Federation. Reduced frontend development time by 30%. Stack: Apollo Server, Node.js, Redis, Postgres. Federated schema resolves 20+ data types in one query.
We lock the price after a 2-week Roadmap phase that defines every API endpoint and data model. No hourly billing, no surprise invoices. Every project comes with a fixed quote.
You own the code from day one. We commit to your GitHub repo every single day. No proprietary platforms, no black boxes. Your team can take over at any point.
Every IRPR engineer has 8+ years of experience. We don't staff juniors to cut costs. You talk directly to the people writing the code - no account managers, no offshore team leads.
We bake HIPAA, PCI-DSS, and SOC 2 requirements into the architecture, not into a checkbox. Datadog logs, audit trails, encryption, and RBAC are shipped as core features.
Every microservice gets load-tested with k6 before release. We set up Datadog dashboards and Sentry alerts as part of the default deploy. You know how your system behaves under 10x traffic.
We have built backends for startups in New York, London, Singapore, and Sydney. Our systems handle everything from 1,000 users to 10 million. The patterns are proven.
Every engagement runs through the same four-stage pipeline. Predictable by design.
30-minute discovery call. No deck. We'll tell you honestly what it takes, how long, and how much.