Your application is deployed and everything is running fine. Great, hi-five! Then out of the blue the phone starts to ring off the hook – it’s users complaining that the application is sometimes ‘slow’. But what does that mean? Sometimes? What tools do you have and what statistics should you be looking at to find and resolve this slowness? Is your system infrastructure up to the task of the user load? What infrastructure design questions should you have asked before you went into production? How can you capacity plan for new hardware with confidence and without over-spec'ing? How can you stop the phone ringing? How could you have stopped it ringing in the first place?

Last comment 30 September 2016
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Hello!

This article is a small overview of a tool that helps to understand classes and their structure inside the Caché DBMS.

In short, it visualizes a class or an entire package, shows the relations between classes and provides all the possible information to developers and team leads without making them go to Caché Studio and examine the code there.

If you are learning InterSystems Caché, reviewing Caché projects a lot or just interested in something new in InterSystems Technology solutions — you are more than welcome to read the overview of Caché Class Explorer!

Last comment 14 March 2018
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Preface: our small, but very ambitious company called “Black Mushroom Studio” came up with an idea for an e-commerce project and a mobile app that would let users pay for certain goods/services via a payment aggregator.

 

What we had initially: an Android app skeleton that, of course, liked communicating via HTTP and JSON, and a payment system with an API – web services with SOAP content.

 

Goal: make it all work together.

Last comment 22 September 2016
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In the last post we scheduled 24-hour collections of performance metrics using pButtons. In this post we are going to be looking at a few of the key metrics that are being collected and how they relate to the underlying system hardware. We will also start to explore the relationship between Caché (or any of the InterSystems Data Platforms) metrics and system metrics. And how you can use these metrics to understand the daily beat rate of your systems and diagnose performance problems.

Last comment 24 March 2018
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Class Queries in InterSystems Caché is a useful tool that separates SQL queries from Caché Object Script code. Basically, it works like this: suppose that you want to use the same SQL query with different arguments in several different places.In this case you can avoid code duplication by declaring the query body as a class query and then calling this query by name. This approach is also convenient for custom queries, in which the task of obtaining the next row is defined by a developer. Sounds interesting? Then read on!

Last comment 9 December 2016
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Greetings, InterSystems community!

I am pleased to announce that the web terminal project, Caché WebTerminal version 4 gets its release! After long period of enhancing this web application from 2013, it came to the version 4, which features major stability and security improvements, intelligent autocomplete and syntax highlighting, convenient SQL mode and a lot of other useful features.

The goal of this article is to spread the knowledge about this project over the InterSystems community.

Last comment 29 January 2018
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Ansible helped me solve the problem of quickly deploying Caché and application components for Data Platforms benchmarks. You can use the same tools and methodology for standing up your test labs, training systems, development or other environments. If you deploy applications at customer sites you could automate much of the deployment and ensure that system, Caché and your application are configured to your applications best practice standards.

Last comment 29 December 2016
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Introduction

The field test of Caché 2016.2 has been available for quite some time and I would like to focus on one of the substantial features that is new in this version: the document data model. This model is a natural addition to the multiple ways we support for handling data including Objects, Tables and Multidimensional arrays. It makes the platform more flexible and suitable for even more use cases.

Last comment 15 June 2016
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Importance and Collection of Exact Version Information ($zv / $zversion)
 
The explanation of:
- why collecting $zv is important (The WHY),
- what the components of $zv mean (The WHAT),
- and how to collect $zv (The HOW). 
(The Ultimate $zv Guide to the ISC Galaxy in large, friendly letters)
Last comment 15 November 2016
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Recently, a partner company started to develop an Angular client for their Cache application. Together, we decided to leverage the power of Caché dynamic objects to exchange JSON encoded data between client and server parts. However, we realized that currently there is a gap in Cache JSON implementation that prevents simple use of traditional registered and persistent classes to exposed their data with the same ease as with XML. I wrote a small JSON adapter, that does the job and bridgers the gap. It's purpose is simple expose data described by a regular Cache class in a one-to-one fashion to a %DynamicObject. On the other hand, when a serialized JSON data comes in, it can be easily deserialized into dynamic object and subsequently bound to regular class by the newly created adapter.

Last comment 3 April 2018
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It was InterSystems hackathon time and our team, consisting of Artem Viznyuk and me had Arduino board (one) and various parts of it (in overabundance). And so like that our course of action was set - like all other Arduino beginners, we decided to build a weather station. But with data persistent storage in Caché and visualization in DeepSee!

Last comment 8 June 2017
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