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”
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”
Are you joining strings here and there in the code base? The story about improper string concat usage.
Public unit tests for framework is win-win both for vendor, and framework consumers. My top 5 reasons for that. Led by example: Unicorn Unicorn is popular serialization mechanism with > 1.3M Nuget downloads! All you need to get started is to download the package and read readme. Custom requirements (f.e. store only specific part ofContinue reading “Make unit tests public”
Performance is like carrying a bowl of water:
On the one hand loosing a few drops seem not a big deal.
On the other hand you are running out of water drop-by-drop.
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”
How to check application performance inside container?
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”
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”
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.