Aggregation by time and count together is a normal batching technique and I have used it a lot to scale out multiple parts of many systems. In this particular

Aggregation by time and count together is a normal batching technique and I have used it a lot to scale out multiple parts of many systems. In this particular example, I agree with others: this is a case for metrics. "Log errors, metric successes[0]." 0: success events (a bit more than a log typically) may be important, especially if tied to something you charge for.