Debugging concurrent code with Coyote
Modern multithreaded, asynchronous code can be hard to debug. The complexity that comes with message passing and thread management results in bugs that can seem non-determinant, with little or no way of spotting precisely what caused a particular interaction. Things get worse when we move away from monolithic apps to distributed microservices running across cloud compute fabrics.Concurrent code is inherently complex. Its asynchronous nature ensures that it’s dependent on much more than the various components of your application, affected by the underlying network and the performance of the various services that help support its code. It’s now essential, as we move to take advantage of cloud-native development models both on-premises and in public hyperscale clouds.To read this article in full, please click here
Modern multithreaded, asynchronous code can be hard to debug. The complexity that comes with message passing and thread management results in bugs that can seem non-determinant, with little or no way of spotting precisely what caused a particular interaction. Things get worse when we move away from monolithic apps to distributed microservices running across cloud compute fabrics.
Concurrent code is inherently complex. Its asynchronous nature ensures that it’s dependent on much more than the various components of your application, affected by the underlying network and the performance of the various services that help support its code. It’s now essential, as we move to take advantage of cloud-native development models both on-premises and in public hyperscale clouds.
