# Solvisse

> A product and engineering studio.


## Posts

- [Is Event-Driven Architecture Right for Your Enterprise? A Decision Framework](https://solvisse.com/insights/is-event-driven-architecture-right-for-your-enterprise-a-decision-framework/): At some point in the growth of almost every enterprise system, a specific kind of pain sets in. A change to one service breaks another.
- [The Hidden Cost of Running AI at Scale (And How to Control It)](https://solvisse.com/insights/the-hidden-cost-of-running-ai-at-scale-and-how-to-control-it/): The AI budget conversation usually starts in engineering and ends in finance, and the two sides are often speaking different languages.
- [What Travel Got Right About Enterprise AI: A Guide for Every Industry](https://solvisse.com/insights/what-travel-got-right-about-enterprise-ai-a-guide-for-every-industry/): Few industries have been tested as hard as travel in the last five years.
- [Engineering Production-Ready Systems for Enterprise AI Agents](https://solvisse.com/insights/engineering-production-ready-systems-for-enterprise-ai-agents/): Something shifted in how enterprises talk about AI over the past year.
- [Evaluating AI in Production: 4 Layers Beyond Accuracy](https://solvisse.com/insights/evaluating-production-ai-4-layers-beyond-accuracy/): Most enterprise AI teams can tell you how accurate their model is. Fewer can tell you whether it’s actually working.
- [Architecture Anti-Patterns: Avoiding Strategic Traps](https://solvisse.com/insights/architecture-anti-patterns-avoiding-strategic-traps/): A good architecture team knows what good design looks like.
- [Architecture vs. Code: Where Debt Costs More](https://solvisse.com/insights/architecture-vs-code-where-debt-costs-more/): Is the productivity of your software organization declining? Is your codebase becoming increasingly difficult to evolve?
- [Architecture as a Service: A Practical Guide for Modern Enterprises](https://solvisse.com/insights/what-is-architecture-as-a-service-aaas-a-practical-guide-for-modern-enterprises/): Organizations navigating digital transformation face a persistent challenge: how to align IT systems with business strategy when qualified enterprise architects are scarce and expensive.
- [How to Choose the Right Enterprise Data Architecture Strategy in 2026](https://solvisse.com/insights/how-to-choose-the-right-enterprise-data-architecture-strategy-in-2026/): Enterprise organizations face unprecedented complexity in managing and leveraging their data assets.
- [Scaling dotCMS: Lessons from Building PartnerCMS as a UX-First Layer](https://solvisse.com/insights/scaling-dotcms-lessons-from-building-partnercms-as-a-ux-first-layer/): In the previous articles of this series, we explored how we replatformed thousands of partner websites onto dotCMS and how we engineered a multi‑site, multi‑tenant content architecture that could scale without losing control.
- [Solvisse & dotCMS: The Strategy to Scale 3000+ Websites](https://solvisse.com/insights/solvisse-dotcms-the-strategy-to-scale-3000-websites/): When a large retail company in the U.S., with a nationwide network of franchises, needed to modernize and scale its digital presence, Solvisse and dotCMS partnered to make it happen - replatforming thousands of websites and delivering a unified, scalable experience for as many individual partner groups.
- [Measuring performance in software architecture](https://solvisse.com/insights/the-four-key-metrics-for-measuring-performance-in-software-architecture/): In the modern software development world, measuring performance isn't optional: it's essential for survival.
- [dotCMS Content Engineering: The Multi-Site Strategy Deep Dive](https://solvisse.com/insights/dotcms-content-engineering-the-multi-site-strategy-deep-dive/): When you’re building and managing thousands of websites for a distributed network of partners, the key challenge isn’t just scale, it’s control.
- [Before You Start with AI, Make Sure Your Data Is Ready](https://solvisse.com/insights/before-you-start-with-ai-make-sure-your-data-is-ready/): A recent Google Cloud State of AI Infrastructure report underscores that this AI momentum is real: 98% of organizations are actively exploring AI, and 39% already have generative AI in production .
- [Beyond the hype: What does RAG really mean for business?](https://solvisse.com/insights/beyond-the-hype-what-does-rag-really-mean-for-business/): The business world is buzzing about RAG, but are organizations leveraging its full potential? Let's dive deeper into this generative AI technology.
- [The Power of Apache Kafka for Enterprises](https://solvisse.com/insights/the-power-of-apache-kafka-for-enterprises/): Apache Kafka has revolutionized enterprise data management over the past 15 years, becoming an indispensable tool for organizations handling large-scale real-time data processing.

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