'Optimizing Database Operations With OpenTelemetry ' debugging quicknode
", new { EmpId=empId }); await db1.CloseAsync; } await Task.WhenAll, GetRecord); return Results.Ok; }) .WithName .Produces;operation begins a transaction but does not commit it for some time. This operation locks the record that will be deleted once the transaction is committed. After giving theoperation to read the same record. Theoperation releases the lock. This is clearly evident from the OpenTelemetry trace of this operation:operation is the source of the performance issue.
The solution to such issues can vary in complexity. For a simple fix, you can optimize the network performance by placing the services physically close to one another . A more complex approach would be to remodel the application to be eventually consistent so that you can asynchronously complete a transaction.Our SQL client is instrumented to capture exceptions. Lightstep understands when spans carry exception details, highlighting such operations on the dashboard.
As developers, we need to understand how our database is performing from the context of user transactions. Ideally, we would have a common tool that can monitor the performance of both the application and the database concerning user transactions.has emerged as a popular tool for application monitoring, but it can also be extended for monitoring databases.
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