See how IRPR built high-performance Node backends for fintech, healthcare, and SaaS. Each project shipped in 12 weeks with full code ownership.
IRPR builds enterprise-grade Node backends using Express, NestJS, and Socket.IO across distributed systems. Each project is a case study in performance, scalability, and compliance.
We ship production code in 12-14 weeks with a fixed price of $80K-$250K. Every system meets SOC 2 or HIPAA requirements depending on the industry. Our case studies document the architecture, trade-offs, and real outcomes.
Enterprise engineering managers hire us when they need a proven Node foundation for a new product line. CTOs at fintech and healthcare companies bring us in to replace legacy PHP backends. Product leads at SaaS startups use our case studies to justify their Node migration to their board.
Built with Socket.IO and Redis pub/sub. Handles 50K concurrent connections for a live trading app in the fintech sector.
Node.js + Stripe integration processing $2M in monthly transactions. PCI-DSS compliant with zero failed payments in 6 months.
NestJS + Plaid API for ACH transfers. Processes 10K transactions per hour with under 200ms latency.
Node.js backend streaming 1M events per day to Apache Kafka. Real-time aggregations served via GraphQL.
Express.js + PostgreSQL with full text search. Serves 10M API requests per day for a media company's headless CMS.
Passport.js + OAuth2 + JWT. Handles 100K logins per day for a multi-tenant SaaS platform.
Node.js + Firebase Cloud Messaging + Twilio. Sends 500K push notifications and 50K SMS per day with 99.9% delivery rate.
Node.js MQTT broker ingesting 5K sensor readings per second. Deployed on AWS Greengrass for edge processing.
Every case study at IRPR documents real metrics before and after the project.
We track runtime performance, deployment frequency, and developer velocity. Our case studies show average latency drops of 60% after migrating from monoliths to Node microservices. Deployment times shrink from 2 hours to 8 minutes.
For a fintech client, the Node backend handled a 50x spike in transaction volume during Black Friday with zero downtime. The case study includes the load test results, database query optimizations, and the caching strategy that made it work.
Most portfolios list features. Our case studies reveal architecture decisions and trade-offs.
We publish the actual stack decisions, the problems we solved, and the metrics we improved. Each case study includes a section called 'What went wrong' because real projects have bad bets. That honesty helps buyers predict their own outcomes.
One client came to us after a generic shop delivered a Node app that crashed under 100 concurrent users. Our case study showed how we approached the same problem with connection pooling, clustering, and Redis caching. That transparency closed the deal.
We follow a repeatable process that produces publishable case studies from the start.
Each case study starts with the Roadmap phase where we define the scope, the tech stack, and the performance targets. That document becomes the first chapter of the case study. Every architectural choice gets annotated with a rationale.
The Product phase delivers a working backend in 8-12 weeks. We document every sprint, every blocker, and every integration test. The Release phase includes a post-mortem that goes into the case study as the final section.
You own everything. We document everything. The case study is a byproduct of our process.
We deliver source code, infrastructure as code, monitoring dashboards, and a runbook. The case study is written from the same artifacts we use for internal review. You can publish it, keep it private, or share it with your investors.
One client used their case study to raise a Series A. The VCs asked for the architecture diagrams and load test results. We had them ready because they were already in the case study draft.
Built a Node.js + Express payment gateway processing $50M monthly. Reduced transaction latency from 800ms to 120ms using Redis caching and worker pools. Integrated with Stripe and Plaid. Industry: fintech.
Developed a NestJS API for video visits and EHR integration. Handled 5K concurrent sessions with 99.98% uptime. Used AWS HealthLake for FHIR data and Auth0 for role-based access. Industry: healthcare.
Created a Node.js microservices architecture processing 10M API calls per day. Reduced infrastructure costs by 40% using AWS Lambda and DynamoDB. Migrated from Ruby on Rails to Node for better concurrency. Industry: SaaS.
Built a Node.js checkout service handling 100K orders per hour during peak. Integrated with CyberSource for fraud detection. Achieved PCI-DSS Level 1 compliance. Reduced cart abandonment by 15% with faster checkout. Industry: ecommerce.
Deployed a Node.js MQTT broker on AWS Greengrass ingesting 50K sensor readings per second. Processed and stored 1TB of time-series data daily using InfluxDB. Reduced data latency from 2 minutes to under 5 seconds. Industry: logistics.
Engineered a Node.js edge caching layer serving 200K requests per second across 10 global regions. Integrated with AWS CloudFront and Elastic Transcoder. Reduced load on origin servers by 85%. Industry: media.
Every case study includes load test results, latency percentiles, and uptime logs. Our fintech case study shows exactly how we achieved 99.99% uptime during a 50x traffic spike. No vague claims.
You get a fixed quote at the end of the Roadmap phase (week 2). No hourly billing, no surprise invoices, no scope creep charges. The price covers everything in the case study scope.
Source code, architecture diagrams, and the draft case study are all your IP. You can publish the case study, edit it, or keep it private. We never reuse your code for other clients.
Our team works across 12 time zones. For US clients we maintain 4 hours of daily overlap with Eastern and Pacific time. You get daily async updates and a weekly video review.
We have built Node backends under SOC 2, HIPAA, PCI-DSS, and FERPA. Our case studies show exactly how we handle audit logs, data encryption, and access controls for each compliance framework.
Each case study is a narrative that includes the problem, the architecture, the metrics, and the lessons learned. Your investors, engineers, and customers can all understand it. No tech jargon required.
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.