Agenda Analytics reports have suspicious statistics with lower conversion rates compared to other systems. Can we find out why? It seem that healthy data is diluted with junk/empty interactions with no value. We assume robot/crawlers activity gets recorded. Is there any OOB protection in Sitecore? Filter out robots by user agents Sitecore blacklists robots viaContinue reading “Case study: polluted reports”
Why ‘Sitecore is not testable’ cliche is no longer actual.
The story how query optimization can influence the overall database performance.
The case study on how the harmless collection could silently cause system to work slower and remain undetected for ages.
Would you as a developer allow a setting that can make system 15 550 times slower? I’ve received a few memory dumps with high CPU; each scavenges AccessResultCache: How big is the cache so that every snapshot contains the operation? Detecting cache size from the snapshot A ClrMD code snippet locates objects in Sitecore.Caching.Generics.Cache namespaceContinue reading “Performance crime: config to kill performance”
How expensive a lack of respect to mainstream usage could be?
The amount of memory cache can use is defined in config: That is needed to protect against disk thrashing – running out of physical RAM so that disk is used to power virtual memory (terribly slow). That is a big hazard in Azure WebApps – much less RAM compared to old-school big boxes. Sitecore keepsContinue reading “Performance crime: wrong size detection”
Breeze in life into Sitecore Fast Queries.
Why a powerful mechanism is not applied in modern designs?
I was investigating Sitecore Aggregation case a time back and my attention was caught by GC Heap Allocation mentioning RequiresValidator in top 10: Combining all generic entries together leads to over 7% of total allocations making it second most expensive type application wide! Yes, all it does is check object is not null Yes, itContinue reading “Performance crime: careless allocations”
Performance Engineering of Software Systems MIT course begins with optimizing math task code to make it work 53K times faster.
How faster can real-life software become without changing the technology?