What load did your services handle?

Service loads can vary greatly depending on the domain and architecture, but typically include:

• Peak loads — a sharp increase in the number of requests, for example, during promotions or the launch of new features.
• Constant high load — when the service consistently handles a large number of users.
• Loads with a large number of parallel connections — important for real-time services.
• Loads with intensive resource usage — for example, CPU or memory during complex computations.

In my experience, there have been services that processed tens of thousands of requests per second, requiring optimization of goroutines and database interactions to reduce latency. Profiling, caching, load balancing, and scaling were used for this.

Example: a payment processing service with a load of up to 5000 TPS, where it was important to minimize response time and ensure fault tolerance.