How does this project onto your service? How did all this grow and what reports were built?

In my Go service, we used approaches that allowed us to efficiently process data and generate reports for monitoring and analysis.

The development of functionality was gradual: initially, basic APIs for data collection were implemented, then aggregation and filtering mechanisms were added. Structures optimized for specific tasks were used to store intermediate results.

Reports were built based on aggregated data, such as request counts, response times, and errors. We used Go routines for parallel processing and channels for data transfer between components.

Example code for collecting statistics:

type Stats struct {
    mu sync.Mutex
    counts map[string]int
}

func (s *Stats) Increment(key string) {
    s.mu.Lock()
    defer s.mu.Unlock()
    s.counts[key]++
}

// In the request handler
stats.Increment("requests")

Thus, the service scaled and allowed for real-time report generation.