Comment “DB” and I’ll share the Strategies for Scaling databases medium article in your DM 🙌🏻 Save & Share with your friends to help them in their u upcoming interviews 🤝🏻 ——————————————————————————— First, you’ll stabilise the system immediately: 1. Apply rate limiting / throttling on expensive APIs so the DB isn’t hammered by sudden spikes. 2. Temporarily disable non-critical features & background jobs (reports, heavy analytics, cron queries) to free DB capacity for core flows (checkout, payments, login). 3. Push as much as possible to cache (Redis) – hot reads like product details, inventory, homepage, user profile → from cache, not DB. 4. Move reads to replicas if available (read–replica setup) so primary handles mostly writes. 5. Check slow queries & kill obviously bad ones (full table scans, missing filters, ad-hoc reports) to quickly drop CPU. Finally you can say: “Once the system is stable, I’ll profile the slow queries, add proper indexes, enforce pagination, and...