Case Studies

Problem

A healthcare SaaS company with 25 engineers needed AI-powered code assistance to improve development velocity. However, HIPAA regulations prohibited sending proprietary code or patient-adjacent data to third-party AI services like GitHub Copilot or ChatGPT. The team was losing 10+ hours per week on manual code review and documentation lookup.

Solution

Deployed a private LLM environment using Qwen 2.5 Coder on dedicated GPU hardware (NVIDIA A4000). Integrated Aider and Continue.dev directly into their VS Code workflow, providing real-time code completion and chat-based assistance. Built a RAG (Retrieval-Augmented Generation) pipeline using ChromaDB over their internal documentation and codebase, enabling natural language search across 50,000+ pages of internal docs.

Results

• 40% increase in developer velocity (measured by PR throughput)
• $0/month in AI API costs (vs. estimated $3,000/month for Copilot licenses)
• Zero data exposure -- all processing stays on their hardware
• 90% reduction in time spent searching internal documentation

Problem

A mid-size insurance company with 200 employees was running critical applications across 15 aging on-premise servers. There was no disaster recovery plan, hardware failures were becoming more frequent, and monthly hosting and maintenance costs had climbed to $8,000. The company faced a real risk of catastrophic data loss.

Solution

Designed a phased AWS migration using Terraform for infrastructure-as-code. Implemented blue-green deployment strategy for zero-downtime cutover. Set up multi-AZ redundancy, automated daily backups, and automated CI/CD with GitHub Actions. Configured comprehensive monitoring with Prometheus and Grafana dashboards, plus CloudWatch alerting.

Results

• 60% reduction in hosting costs ($3,200/month vs. $8,000/month)
• 99.99% uptime achieved (12 months post-migration)
• Deployment time reduced from 4 hours (manual) to 8 minutes (automated)
• Complete disaster recovery capability (RTO: 15 minutes, RPO: 1 hour)

Problem

A construction company with 5 office locations and 120 employees was paying $4,000/month ($48K/year) for a hosted PBX solution. Call quality was inconsistent, customization was impossible, and they were locked into a 3-year contract. They needed custom call routing logic that the vendor couldn't support -- routing calls based on project assignment, time of day, and site location.

Solution

Engineered a centralized Asterisk/Kamailio VoIP platform. Kamailio handles SIP routing and load balancing across sites. Asterisk handles PBX functionality, IVR, and call recording. Built a custom FastAGI application in Perl for intelligent call handling that routes calls based on real-time database lookups. SIP trunking via Twilio for PSTN connectivity.

Results

• 70% cost reduction ($1,200/month vs. $4,000/month = $33,600/year savings)
• Crystal-clear call quality across all 5 sites
• Custom call routing that wasn't possible with the previous vendor
• Full ownership of the system -- no contracts, no per-seat fees

Problem

A growing SaaS company with 40 engineers had a deployment process that required 2 senior engineers, took 4+ hours, and broke at least once a week. There was no automated testing in the pipeline, no staging environment, and rollbacks required manually reverting database migrations. The team was spending 15+ hours/week on deployment-related issues instead of building product.

Solution

Built a complete CI/CD pipeline using GitHub Actions with automated unit, integration, and E2E testing. Implemented infrastructure-as-code with Terraform for reproducible environments. Created staging and preview environments for pre-production validation. Implemented blue-green deployments with automated rollback capability. Set up Prometheus + Grafana monitoring with PagerDuty alerting.

Results

• Deployment time: 4 hours down to 8 minutes
• Zero deployment-related outages in 6 months (vs. weekly before)
• 15+ engineering hours/week recovered
• Any engineer can now deploy (not just 2 senior engineers)

Problem

An e-commerce company's production application went down on a Friday at 4 PM after a routine deployment. The application was returning 500 errors on every request. The internal team couldn't identify the cause, and the deployment script had no rollback mechanism. Revenue impact was estimated at $2,000/hour. By the time they called us, the site had been down for 45 minutes.

Solution

Connected within 30 minutes of the initial call. Through systematic log analysis, identified that a database migration included in the deployment had locked a critical transaction table, causing all application queries to timeout. Performed a careful manual rollback of the migration while preserving data integrity. Restored application service and verified all functionality. Post-incident: built automated rollback into their deployment pipeline and added migration safety checks.

Results

• Service restored within 2 hours of initial outage (total)
• Estimated $4,000+ in revenue saved by faster resolution
• Root cause identified and permanently resolved
• Automated rollback mechanism prevents recurrence

Problem

A logistics company was managing fleet tracking and delivery metrics across spreadsheets, email, and three disconnected tools. Dispatchers couldn't see real-time vehicle positions, delivery managers waited hours for updated reports, and decision-making was consistently delayed. They needed a single source of truth accessible to all teams.

Solution

Built a full-stack Next.js application with real-time data visualization using TypeScript and PostgreSQL. Implemented a Redis caching layer for sub-100ms dashboard loads. Integrated with their existing GPS tracking system and ERP via custom REST APIs. Deployed on AWS with auto-scaling to handle peak dispatch hours. Added role-based access control for different team views.

Results

• Real-time visibility across 200+ vehicles for all dispatchers
• Decision-making time reduced by 80%
• Dashboard loads in under 100ms (Redis caching)
• Consolidated 3 disconnected tools into one platform