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


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