Junior — Middle
What steps do you take if the server stops handling the load during write operations?
sobes.tech AI
Answer from AI
If the server stops handling load during write operations, the following steps can be taken:
- Profiling and monitoring — identify bottlenecks: CPU, memory, disk, network.
- Optimize write code — reduce locks, use batching for writes, asynchronous operations.
- Scaling:
- Horizontal scaling — add more servers and distribute the load.
- Vertical scaling — increase resources of the current server.
- Use queues — put writes into a queue (e.g., Kafka, RabbitMQ) to unload the main flow.
- Caching — if possible, cache data to reduce the number of write operations.
- Database optimization — indexes, partitioning, replication to distribute the load.
Example in Go for batched writing with goroutines:
func batchWrite(data []Data) {
batchSize := 100
for i := 0; i < len(data); i += batchSize {
end := i + batchSize
if end > len(data) {
end = len(data)
}
batch := data[i:end]
go writeBatch(batch) // asynchronous write
}
}
func writeBatch(batch []Data) {
// logic to write to database
}
This approach helps distribute the load and increase throughput.