Saving Three Months of Latency with a Single OpenTelemetry Trace
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Re: Saving Three Months of Latency with a Single OpenTelemetry Trace
#2Re: Saving Three Months of Latency with a Single OpenTelemetry Trace
#3Re: Saving Three Months of Latency with a Single OpenTelemetry Trace
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Re: Saving Three Months of Latency with a Single OpenTelemetry Trace
#5Re: Saving Three Months of Latency with a Single OpenTelemetry Trace
#6I wish posts like this would explore the relative savings rather than the absolute. On its own I don’t feel like that saving is really telling me much, taken to the extreme you could just not run the service at all and save all the time - a tongue in cheek example but in context is this saving a big deal or is it just engineering looking for small efficiencies to justify their time?
Re: Saving Three Months of Latency with a Single OpenTelemetry Trace
#7Re: Saving Three Months of Latency with a Single OpenTelemetry Trace
#8I wish posts like this would explore the relative savings rather than the absolute. On its own I don’t feel like that saving is really telling me much, taken to the extreme you could just not run the service at all and save all the time - a tongue in cheek example but in context is this saving a big deal or is it just engineering looking for small efficiencies to justify their time?
Re: Saving Three Months of Latency with a Single OpenTelemetry Trace
#9I wish posts like this would explore the relative savings rather than the absolute. On its own I don’t feel like that saving is really telling me much, taken to the extreme you could just not run the service at all and save all the time - a tongue in cheek example but in context is this saving a big deal or is it just engineering looking for small efficiencies to justify their time?
Re: Saving Three Months of Latency with a Single OpenTelemetry Trace
#10I wish posts like this would explore the relative savings rather than the absolute. On its own I don’t feel like that saving is really telling me much, taken to the extreme you could just not run the service at all and save all the time - a tongue in cheek example but in context is this saving a big deal or is it just engineering looking for small efficiencies to justify their time?
I'm the author of the post. You raise a good point about relative savings. Based on last week's data, our change reduced the task time by 40ms from an average of 3440ms, and this task runs 11 million times daily. This translates to a saving of about 1% on compute.