Dynatrace

OCTOBER 5, 2020

Dynatrace news. The challenge with ASP.NET Web Service Observability, Diagnostics and Performance Optimization is that most monitoring & diagnostic tools only provide global Service Level Indicators metrics (SLIs) such as response time, failure rate, and throughput, but not metrics for each individual service endpoint. The reason for this is because a classical ASP.NET SOAP Web Service (ASMX) exposes its individual endpoints through the same URL and using the SoapAction HTTP Header to determ

Performance 152

Performance Best Practices Architecture Monitoring 152

DZone

OCTOBER 5, 2020

It's not every day that you get to break a record. So when I discovered that you can now rent by the hour massive instances within Google Compute Cloud that support 224 virtual cores based on AMD EPYC 2 Rome processors, I had to jump at the opportunity to see what kind low hanging fruit might be out there. Low and behold I found it! The record for MySQL on a single server stands at 2.1M QPS without using Unix sockets , and 2.25M QPS with Unix sockets.

Virtualization 109

Virtualization Google Programming Servers 109

n0derunner

OCTOBER 5, 2020

How to speed up your X-ray benchmark development cycle by re-using/re-cycling benchmark VMs and more importantly data-sets. Problem: For large datasets, creating the data on-disk can be time consuming. Consider a cluster where we wish to write 2TB per node and replication is at 10GbE per node. Assuming we have enough storage bandwidth, the throughput.

Benchmarking 52

Benchmarking Storage Speed Development 52