Knowledge Base
Deep dives into cloud engineering, AI automation, SaaS architecture, and data engineering — with real case studies from the Mavumium platform ecosystem.
How to architect production-grade SaaS applications on AWS using S3, Lambda, EC2, CloudFront, and RDS — with real implementation patterns from building the Mavumium ecosystem.
A comprehensive guide to building secure, scalable SaaS backends with Supabase — covering database design, row-level security policies, edge functions, and real-time subscriptions.
How to integrate OpenAI's API into business workflows — from intelligent document processing to AI-powered quotation generation and automated customer communication at Mavumium.
A practical guide to using n8n for automating complex business workflows — connecting CRMs, email systems, AI pipelines, and SaaS platforms without vendor lock-in.
How to leverage Vercel's edge network, ISR, image optimization, and CI/CD pipeline to deliver Next.js applications that score Lighthouse 100 and load instantly worldwide.
How to architect scalable data pipelines using Google Cloud BigQuery — from ingestion and transformation through to Power BI dashboards that drive real business decisions.
How to use Cloudflare as the security and performance layer for production SaaS platforms — covering DNS management, WAF rules, caching strategies, and DDoS mitigation.
How to use PostHog to understand exactly how users interact with your SaaS product — building funnels, analyzing session recordings, and using feature flags to ship confidently.