Collecting performance profiles in Azure WebApps on demand

Agenda: All of sudden your Application starts responding slow. What to do? In order to figure out why it is slow, you’ll need to understand what happens internally, what does each thread do? How the wallclock time is spent while processing your request? The source of that data is dynamic profiling. Azure WebApps can collectContinue reading “Collecting performance profiles in Azure WebApps on demand”

Memory snapshots in Azure Web Apps

A memory snapshot could explain why an app does not behave well. The process of collecting memory snapshot is straightforward locally: Download ProcDump Find the process ID in Task Manager Trigger onDemand collection: procdump.exe -accepteula -ma 123 Why that does not work in cloud? Despite KUDU can generate memory snapshots on demand, it frequently failsContinue reading “Memory snapshots in Azure Web Apps”

Reviewing docker performance profile

We have profiled application start in the previous post, and will carry on wall clock time investigation; let’s start by looking at Thread Time report: First thing to notice – a set of processes running next to w3wp: CSC is a compilation effort, every entry takes ~4.6 seconds at least (delays application start as well)Continue reading “Reviewing docker performance profile”

Performance crime: Params

You might heard params are evil. Have you ever seen the performance bill for that? How to find out where params are used? Memory allocation report shows all allocations, we’ll start from here: Method with params creates an array behind the scenes, so hunting for object[]: IL code proves sad truth – array is alwaysContinue reading “Performance crime: Params”

Reckless interlocked operations

Let’s start with a guess – what is the most CPU-heavy operation in Sitecore? Answer: Performance counters initialization: Yes, that’s right, those performance counters which are powered by OS and super fast. Although Sitecore counter init implementation does not look offensive (volatile read & interlocked), counters are everywhere (cache lookup / access / object creation):Continue reading “Reckless interlocked operations”

Why should an upper limit exist for every saved bit

Case study: polluted reports shows how system can be polluted with dummy data. Saving data (even HTTP referer) without validation can contaminate system as well: The results show astonishing 28KB for storing single value: Next time you see Analytics shards worth 600 GB – recall this post.