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Got 1 Paying User. Time to Move to Kubernetes.
- Premature optimization can lead to overengineering and spending unnecessary time on tech solutions that are not currently needed.
- At early stages (1–100 users), focus on a simple app structure, basic database like Postgres or SQLite, easy deployment methods, error tracking, and feedback collection.
- Scaling should be a reaction to real usage, not just a prediction based on hopeful scenarios.
- Start with a simple stack that is easy to manage and can handle considerable load before needing complex infrastructure.
- Know when it's necessary to scale: database CPU usage high under normal load, timeouts during usage spikes, frequent support tickets about slowness, or constraints hindering feature updates.
- Simplify deployment with monolithic architectures, such as Node.js + Postgres or Rails/Laravel + SQLite/MySQL.
- Focus on building for a smaller user base that values your product; earn scaling challenges as your user base grows.
- Keep the approach simple and momentum-driven; Kubernetes or complex setups can wait until needed for significant scalability.
- Prioritize user feedback, rapid iteration, and product improvements over overly complicating the infrastructure setup in the early stages of product development.
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