𝗪𝗵𝘆 𝗧𝗲𝗮𝗺𝘀 𝗔𝗿𝗲 𝗠𝗼𝘃𝗶𝗻𝗴 𝗕𝗮𝗰𝗸 𝘁𝗼 𝗠𝗼𝗱𝘂𝗹𝗮𝗿 𝗠𝗼𝗻𝗼𝗹𝗶𝘁𝗵𝘀
Microservices were once the gold standard. Now, many teams are moving back to modular monoliths.
In 2026, the trend is shifting. Teams are tired of the high cost of distributed systems. They are not going back to messy, tangled monoliths. They are building cleaner, modular versions instead.
Why is this happening?
Microservices bring hidden costs:
- Debugging takes much longer when a single request spans five services and three queues.
- Cloud bills rise because every service needs its own overhead and resources.
- Small teams struggle to manage dozens of deployment pipelines and monitoring tools.
- Data consistency becomes a nightmare across distributed databases.
A modular monolith gives you the best of both worlds. It is one codebase and one deployment. However, it uses strict internal boundaries. Each module owns its own logic and data. You get the organization of microservices without the massive operational tax.
Use this guide to choose your architecture:
- Team under 50 engineers: Use a modular monolith.
- Need to scale one specific part (like payments): Use a modular monolith but extract that one service.
- 100+ engineers with massive independent needs: Use microservices.
- Already in microservices and losing money: Consolidate using the Strangler pattern.
Real companies are already doing this. Shopify uses a modular approach to manage millions of merchants. Amazon Prime Video moved a specific workload from microservices back to a monolith and cut infrastructure costs by 90%.
The rule is simple: Start modular. Only extract a service when your data and traffic demand it. Do not follow the hype. Follow your needs.
Check your system with these questions:
- Does your cloud bill grow faster than your users?
- Do you spend more time debugging services than building features?
- Is your team under 100 engineers?
If you answered yes, a modular monolith might save your team time and money.