18 articles tagged with "Architecture Infrastructure"
The real cost of automation at scale. How Zapier grows from $30 to $500 per month, why task limits bite, and when custom integration pays for itself in 6 months.
Growing e-commerce business outgrowing Shopify limitations. When migration made sense, custom platform architecture, maintaining sales during transition, and 3.2x revenue growth enabled. $340K investment, 14-month timeline, transformational results.
Complete technical architecture of microservices implementation for 100-person SaaS company. Real service boundaries, inter-service communication patterns, data management strategies, $310K build cost, operational overhead, and when monoliths are actually better.
From Excel hell to unified analytics: a 300-person company's 14-month journey implementing a modern data warehouse. Real costs, migration challenges, and $520K annual value from actually understanding their data.
How a mid-market company deployed enterprise-grade unified communications across 200 remote employees in 14 countries. Real architecture, actual costs ($127K), 8-month timeline, and measurable productivity gains.
Use headless CMS for content management infrastructure, build custom frontend for unique experiences. Learn when this approach works, how to choose headless CMS, and execution best practices.
Customer history in one place, orders in another, support tickets somewhere else, marketing data in yet another tool. Learn how this fragments your business understanding and what proper data architecture actually means for a 50-person company.
Is it in Salesforce? Your billing system? The custom app? All three? Learn about the concept of system of record for business owners who just want their data accessible and correct, with practical consolidation approaches.
Excel works great until you hire more people and different versions start floating around. Learn when to move to actual databases, what that means for non-technical owners, and options that don\t require hiring a DBA.'
Salesforce integration doesn't require massive consulting deals. Learn the ecosystem from Zapier to proper integration platforms, when native connectors work fine, and what questions to ask developers who promise custom integration.
Someone copies customer data from your order system into QuickBooks daily. Someone else updates Salesforce from spreadsheets. Calculate what this actually costs in time, errors, and missed opportunitiesthen see the right-sized solution.
You have Salesforce, QuickBooks, Shopify, email marketing, and project management tools. None of them sync properly. Learn integration patterns in plain English and when Zapier is enough versus when you need something better.
The legacy system keeping your business running is actually fine. The panicked rush to replace it is what causes disasters. Learn how to evaluate if you really need to migrate, what modernization actually means, and phased approaches that don\t risk the business.'
Follow a 30-person manufacturing company through their 18-month migration from Access to a proper web-based system. What worked, what didn\t, how they kept business running, and total real costs including hidden ones.'
The microservices sales pitch sounds great but often destroys productivity for growing businesses. Learn when monoliths are actually the right answer, what problems microservices solve (and create), and how to evaluate the pitch from your technical team.
Real story of a 60-person company that spent 18 months and $200K breaking apart a working system into microservices, only to reassemble it. What went wrong, warning signs to watch for, and when the complexity is actually worth it.
It''s not always the server. Walk through the real performance killers in business systems: bad database queries, the N+1 problem, oversized images, chatty integrations, and inefficient workflowsexplained in business terms with real impact.
A/B testing content for AI search requires different approaches than traditional SEO. Learn how to test effectively, what to test, timeframes that reveal insights, and how to avoid false conclusions from small sample sizes.