Scalable Architecture for Rapidly Growing Startups

Most startups fail not because of their code, but because their code can't scale with their success. Building for scale from day one doesn't mean over-engineering; it means making the right architectural choices.

Modular Monoliths to Microservices

We advocate for starting with a modular monolith. This allows for rapid development while maintaining clear boundaries between components. As specific parts of the system face higher load, they can be easily extracted into independent microservices.

Database Design for Growth

Your database is often the first bottleneck. We utilize serverless databases like Neon which can scale compute independently of storage. Implementing effective indexing strategies and considering read-replicas early on can prevent catastrophic outages during traffic spikes.

Asynchronous Processing

Don't make your users wait for heavy tasks. We use backgroundjob orchestrators like Inngest or BullMQ to handle everything from email notifications to complex data processing. This keeps the user interface responsive and the system resilient to temporary failures.