How to speed up a slow API endpoint — what approaches are there?
sobes.tech AI
Answer from AI
To speed up a slow API endpoint in Go, several approaches can be applied:
-
Profiling and analysis — first, identify where the bottleneck is: CPU, memory, network, database.
-
Caching — if data doesn't change often, cache query results in memory (e.g., using
sync.Mapor third-party libraries) or use Redis. -
Database query optimization — use indexes, reduce the number of queries, apply batch queries.
-
Parallelism and asynchrony — perform independent operations concurrently using goroutines.
-
Reducing transmitted data volume — use compression, return only necessary fields.
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Using CDN and load balancers — if the API is public and under high load.
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Code optimization — avoid unnecessary allocations, use efficient data structures.
Example of simple caching in Go:
var cache = make(map[string]string)
var mu sync.RWMutex
func getData(key string) string {
mu.RLock()
val, ok := cache[key]
mu.RUnlock()
if ok {
return val
}
// Simulate a long operation
val = slowOperation(key)
mu.Lock()
cache[key] = val
mu.Unlock()
return val
}