How do you start to investigate client-side performance pains of users?

-

 Hi! 

I would like to share in that article, the small trick related to the slowness of Jira, Confluence etc. annoying of users I use everyday. 

Also, it’s quite often a question from end-users who are scared to migrate to Cloud, who are experiencing the problem with working with Atlassian products via VPN etc.

So I think you will say, maybe you are just asking users to provide a HAR file (https://confluence.atlassian.com/kb/generating-har-files-and-analyzing-web-requests-720420612.html). 

Right, but most of the time, many users ask how to do it after sending a link, how to generate a HAR file, or sending a video. Because the slowness disappears, problem with VPN connection, ISP provider etc. Hence I think sometimes it is better to provide a small tool which will help to indicate a problem. 

Therefore I use several years of “Page load time” apps for Google Chrome and Firefox. 

link: https://chrome.google.com/webstore/detail/page-load-time/fploionmjgeclbkemipmkogoaohcdbig 

Source code is here: https://github.com/alex-vv/page-load-time

After that I just suggest comparing page load time for different pages, sites before going to me with pain, because it's nice to have more and clear logs to start investigating.

i.e. to me 4 sec loading the page with rendering, parsing the community of Atlassian, which is great.

Where my cloud Atlassian Confluence loads much faster in 1.32 sec, as I located in Russia, SPb. it’s quite good.

Of course, if my installation is exposed via the internet I will do http ping via different services like ping-host.


Also, I'm just curious, how do you investigate and start to get info? 

Because New Relic provides, some JS scripts provide info, but I would like to provide an instrument to end-users. After that they can measure and come back to me. 

Where I will ask for a HAR file :) and investigate the logs.

How about you ?


Cheers,

Gonchik Tsymzhitov

Comments

Post a Comment

Popular posts from this blog

How only 2 parameters of PostgreSQL reduced anomaly of Jira Data Center nodes

-
Image
  Hello community, Gonchik Tsymzhitov is in touch. Today, I would like to share with you a short story about postgresqltuner.pl in usage.  So from previous articles I hope you configured the PostgreSQL server and postgresqltuner.pl.  After executing command, ./postgresqltuner.pl --ssd for ssd disks server. You can see like this output: postgresqltuner.pl version 1.0.1 [OK]      I can invoke executables Connecting to /var/run/postgresql:5432 database template1 as user 'postgres'... [OK]      The user account used by me for reporting has superuser rights on this PostgreSQL instance =====  OS information  ===== [INFO]    OS: linux Version: 5.4.17-2036.102.0.2.el8uek.x86_64 Arch: x86_64-linux-thread-multi [INFO]    OS total memory: 41.03 GB [OK]      vm.overcommit_memory is adequate: no memory overcommitment [INFO]    Running under a vmware hypervisor [INFO]    Currently used I/O sc...
Read more

Atlassian Community, let's collaborate and provide stats to vendors about our SQL index usage

-
  Hi!  Gonchik is in touch. Today I would like to get a little bit of help from you related SQL indexes on your Jira installation (Data Center, Server edition does not matter).    I would like to share a story about  PostgreSQL  and  Jira 8.13.3  ( JSD 4.13.3 )  release.  In that post I will be happy if you answer and comment about your instance indexes, as those info can help to improve the existing situation of heavy indexes.  Typically, it starts from improvement of configuration (e.g. using  https://postgresqltuner.pl/ ),  then query analyzing, adding indexes, after removing as heavy one (shortly  https://wiki.postgresql.org/wiki/Index_Maintenance ) :)    I use like this query in PostgreSQL: SELECT s.schemaname,        s.relname AS tablename,        s.indexrelname AS indexname,        pg_size_pretty(p...
Read more

Stories about detecting Atlassian Confluence bottlenecks with APM tool [part 1]

-
Image
  Hey! Gonchik, a lover of APM (application performance monitoring) tools, in particular Glowroot, is in touch. Today I will tell you how to find bottlenecks in Confluence On-Prem in the shortest possible time based on one industrial installation. We are faced with a situation where a large number of people simultaneously break into the knowledge base on Confluence On-Prem (during the certification), and the Confluence dies for some time. We immediately thought that the problem is precisely in the simultaneous number of visitors and we can immediately tweak the JVM, but it turned out that not everything is so simple. Below I will tell you how we found the real cause of the brakes and how we dealt with it. The main task: to conduct an audit and, on its basis, achieve performance improvements, especially in times of a large number of active users in the system. Of course, first of all, the hardware resources and OS configurations were checked, where no problems were identified. Howev...
Read more