Monday, December 28, 2015

Web Performance, tell me the story

Suppose you would like to know how your web site, behaves to clients from two different geo locations: for example, Finland and Ireland regarding response time. How quickly can you see and understand visually what's going on and how things are.

Do you need to improve something ? Change your network provider ? Tune your application(s) ? Spend more money. Start from a top level view, understanding the big picture and having the possibility to dive and analyze at the detail level. Finally, can you visually tell the story of your web application as in a short chart ?

Enter Kronometrix Web Performance ...


  • Something happened between 1:00 - 1:15 AM
  • We can see more than one request affected by this event
  • Overall we see all requests are executing fast, below 0.5 seconds
  • And we have some exceptions, some are taking more than 0.5 seconds


  • Same things from Ireland
  • It is different, requests usually take longer to execute
  • Some requests are much slower than in Finland

Then we want to know more and check individual requests and observe their evolution in time.

And then we can dive and analyze even further ...

Kronometrix has to be simple, and self explanatory. We believe our implementation, based on the streamgraph can very quickly identify who is slow, and check the evolution in time and then in one click dive into other level of detail. It is like telling the story of your application over time.

Thursday, December 10, 2015

Web Performance subscription

We been busy to add support for Web Performance to our appliance. That means anyone running any HTTP applications can send data to Kronometrix for analysis. Our idea of monitoring Web applications is a simple one: it starts from the operating system, HTTP server and the application itself. We report the most important metrics including the response times for the application. To make things even easier we wanted to add support for complete solution stacks, like LAMP. (We still have lots of work to fully support them).

And to have a complete picture of the Web service, we have introduced the workload management concept inside Kronometrix to gather and report data from one or many data sources and bound those to a SLA for upper management reporting. Nice and easy.

Some first development snapshots from our implementation. Let's first switch to night mode, it is 23:10 here in Finland. So, here you go:

All requests dashboard

This shows a number of HTTP requests gathered as a stream graph,  over time.

All requests as a stream
The for instant consumption we switch to something simpler as a bar chart with break downs for each request:

Instant response time

Simple to see all requests as a continuous stream of data over time

Per-request dashboard

A simple break down reporting the following metrics:

  #01 timestamp : seconds since Epoch, time

  #02 request   : the HTTP request name

  #03 ttime     : total time, entire operation lasted, seconds

  #04 ctime     : connect time it took from the start until the TCP 
                  connect to the remote host (or proxy) was completed, seconds

  #05 dnstime   : namelookup time, it took from the start until the name 
                  resolving was completed, seconds

  #06 ptime     : protocol time, it took from the start until the file 
                  transfer was just about to begin, seconds

  #07 pktime    : first packet time, it took from the start until the first 
                  byte was just about to be transferred, seconds

  #08 size      : page size, the total amount of bytes that were downloaded

  #09 status    : response status code, the numerical response code 
                  that was found in the last retrieved HTTP(S) transfer

looking like this:

Per-request response time

Easy to break down at the request level, including outliers

Close to these dashboards are the operating system metrics, to have a complete picture of the running system. Later we will show how we define and report combined all resources as a complete workload. Stay tuned and join our discussion group, here

We are the makers of Kronometrix, come and join us !