Hello! This article continues the article "Making Prometheus Monitoring for InterSystems Caché". We will take a look at one way of visualizing the results of the work of the ^mgstat tool. This tool provides the statistics of Caché performance, and specifically the number of calls for globals and routines (local and over ECP), the length of the write daemon’s queue, the number of blocks saved to the disk and read from it, amount of ECP traffic and more. ^mgstat can be launched separately (interactively or by a job), and in parallel with another performance measurement tool, ^pButtons.

In the previous part of this series, we saw how to define a basic portlet. Now we will look into making this portlet reference a web page that will enhance our dashboard experience.

In this example, we will be embedding a Developer Community article along side a couple of widgets displaying information related to the number of views on the Developer Community articles. This example is not hosted on the Community Analytics server, but if it was we could see the view counts going up as we interacted with the page.

Why use this?

What is a portlet?

The simple answer is: a custom widget. A portlet can exist by itself on a DeepSee dashboard, it can be used along side standard DeepSee widgets, or along side other portlets. The rendering of the custom widget is completely user defined. This means you can embed a web page, create a form to perform any sort of action needed based on the data on your dashboard, use third party charting libraries, or simply display data from outside of a DeepSee cube.

How to get started

This post is dedicated to the task of monitoring a Caché instance using SNMP. Some users of Caché are probably doing it already in some way or another. Monitoring via SNMP has been supported by the standard Caché package for a long time now, but not all the necessary parameters are available “out of the box”. For example, it would be nice to monitor the number of CSP sessions, get detailed information about the use of the license, particular KPI’s of the system being used and such. After reading this article, you will know how to add your parameters to Caché monitoring using SNMP.

This article introduces InterSystems iKnow Entity Browser, a web application which allows to visualize extracted and organized text data mined from a large number of texts, powered by InterSystems iKnow technology, which is also known as InterSystems Text Analytics in InterSystems IRIS. Feel free to play with the demo of this tool or learn more about it on InterSystems Open Exchange.

Users of analytical applications often need to generate and send out PDF reports comprised of elements of the analytical panel. In the InterSystems stack, this task is solved using the DSW Reports project that is an extension of DeepSeeWeb. In this article, we will explain how to use DSW Reports for generating PDF reports and emailing them.

Has anyone built tag cloud from iKnow domain?

If so, any advice on how to do that?

I have a server with rusw locale but in my cube the time dimension shows dates such as "JAN-2018". Is there a way to either localize that (preferably) or just output numbers  like "01-2018"?

Architect:

Analyzer:

Also in architect, in level settings there is a "Time Format" property, what's that? Tried setting it to 3 but it didn't help.

Hi, Community! 

This is the 3rd part of DeepSee Web story - Angular base UI for DeepSee Dashboards, see the beginning here.

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By design, DSW provides an implementation for every widget in DeepSee library. But there are some extra features in DSW which make solutions built with DSW dashboards more functional.  This article describes it.

Hi, Community! 

Please welcome a new session recording from Global Summit 2017:

Data Visualization: The Choice is Yours

Hi, Community!

In the second part about DeepSee Web, I’ll describe what customization options you have with DSW.  

There are two types of customizations: widget customization and dashboard panel customization.

Example of dashboard customization on Developer Community analytics.

This is the first article of a series diving into visualization tools and analysis of time series data. Obviously we are most interested in looking at performance related data we can gather from the Caché family of products. However, as we'll see down the road, we are absolutely not limited to that. For now we are exploring python and the libraries/tools available within that ecosystem.

The series is closely tying into Murray's excellent series about Caché performance and monitoring (see here) and more specifically this article.

In this short article we talk about how to get Yape running in a docker container to avoid having to setup python on your machine.

It's been a while since the last article in this series, so let's recap quickly.

We talked about using matplotlib to create a basic graph. Afterwards we introduced dynamic graphs using bokeh. In the 3rd part we talked about generating heatmaps using monlbl data.

About the Ontodia library

First of all, I think we should provide some background information about Ontodia and Caché DBMS. Let’s start with a less known product, Ontodia. Ontodia is the result of a joint project of the ISST lab of the ITMO University and VISmart, a software development company specializing in the semantic web domain. The Ontodia service was created as a web application for visualizing linked data and ontologies. We created this service because we couldn’t find simple, accessible and efficient tools for convenient visualization of linked data.

Code coverage and performance optimization of code has come up a bunch of times already, so most of you should already be aware of the SYS.MONLBL utility. Often a visual approach to looking at code is much more intuitive than pure numbers, which is pretty much the whole point of this article series. This time we will take a slight excursion away from python and its tools and are going to explore generating heatmaps from ^%SYS.MONLBL reports.

> Customizable System Monitoring. ## Introduction The Polymetric Dashboard is a stand-alone module that provides enhanced monitoring tools for a Caché environment. Equipped with over one hundred sensors that monitor key system metrics, a robust REST API, and a modular AngularJS user interface, the Polymetric Dashboard is fully functional out of the box. However, the Polymetric Dashboard is designed to be customizable; any system metric can be monitored by creating a new sensor, and the visualization of collected data can be tailored to specific requirements and purposes. --- ## Goal Monitoring

Hi!

There are DeepSee dashboards,  which make sense only when filtered.

Usually, they are used as Drill Target or New_window control with SETTINGS=Widget;FILTER=filtervalue.

Is there a way to hide such dashboard from the Catalog or/and request the filter value once it is opened by User?

In last week's discussion we created a simple graph based on the data input from one file. Now, as we all know, sometimes we have multiple different datafiles to parse and correlate. So this week we are going to load additional perfmon data and learn how to plot that into the same graph. Since we might want to use our generated graphs in reports or on a webpage, we'll also look into ways to export the generated graphs.

Loading windows perfmon data