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.
The reason is that ActiveState Python version 2.7.X is built with Visual Studio 2008 and Microsoft provides Visual Studio 2008, which one must install, so that Python C extensions can be built.
Last week I was onsite with a new customer of ours, implementing Deltanji to give them control of their development and deployment cycle. One particularly satisfying part of the visit was seeing their pleasure at how their production class now records its changes over time, allowing them to quickly diff the versions and see what configuration items have been added or what settings altered.
Those of you who keep an eye on developments in the mainstream of IT will be aware that a major upheaval has been occurring over the last 5 or so years, in which JavaScript has exploded in popularity and importance. Largely as a result of its server-side incarnation - Node.js - it has broken free of just being the scripting language that you use in web browser, to becoming the world's most popular language and enterprise technology of choice.
When testing a new routing rule, one frequently encountered problem is that messages that seem like they should be getting routed to a target component are not getting routed. This article aims to describe how to determine why the message didn't get routed.
1. Check the Event Log for the router to make sure there wasn't an error evaluating the rule or running any transformations referenced by the rule. If there was, debug that error first.
One of the great availability and scaling features of Caché is Enterprise Cache Protocol (ECP). With consideration during application development distributed processing using ECP allows a scale out architecture for Caché applications. Application processing can scale to very high rates from a single application server to the processing power of up to 255 application servers with no application changes.
As web application gets more complex, more technologies are involved into the application development. Once it gets deployed in large scale the configuration gets more complex too. For sure one of the most difficult part of the story is the security. In a complex solution when independent servers are feeding single web pages with contents, it is indeed challenging to keep the integrity of such system. HTML5 introduced a (weak) security constraint, the Cross Origin Resource Sharing (CORS). This article tells how to enable CORS for CSP/ ZEN applications.
Enterprises need to grow and manage their global computing infrastructures rapidly and efficiently while simultaneously optimizing and managing capital costs and expenses. Amazon Web Services (AWS) and Elastic Compute Cloud (EC2) computing and storage services meet the needs of the most demanding Caché based application by providing a highly robust global computing infrastructure.
A calculated measure is a powerful feature in DeepSee and can help to enrich your analyzes. In the case of complex or long running computations plugins can be useful. This article shows with a simple example how you can build and use a plugin in DeepSee.
CLM is a tool for localization/internationalization/adding multi-language support to a project based on InterSystems Caché.
Imagine that you have a ready project where all the content is in Russian, and you need to add an English localization to it. You wrap all your strings into resources, translate them into English and call the necessary resource for Russian or English when necessary. Nothing tricky, if you think about it. But what if there are lots of strings and there are mistakes in Russian (or English)? What if you need to localize in more than one language – say, ten? This is exactly the kind of project where you should use CLM. It will help you localize the entire content of your project into the necessary language and retain the possibility to correct entries.
Those of you, who work with DeepSee, might have spotted, that when working with a date hierarchy, there are several functions, allowing you to select a time function for a given level. E.g. for extracting a year from a date/time property when building date hierarchy, you simply use Year function. similarly for month number, quarter and so on. Sometimes, you may wish to see the time - namely hour numbers. For this there is a HourNumber function available with DeepSee. Unfortunately, this function converts time into 12 hours format suffixed with AM/PM to indicate day part.
The technology of load balancing between several servers with relatively low capacity has been a standard feature of Caché for quite a while. It is based on the distributed cache technology called ECP (Enterprise Cache Protocol). ECP provides a host of possibilities for horizontal scaling of an application, and yet keeping the project budget fairly low. Another apparent advantage of ECP network is the possibility to conceal its architecture in the depths of Caché configuration so that applications developed for the traditional (vertical) architecture can be fairly easily migrated to a horizontal ECP environment. The ease of this process is so mesmerizing, that you start wishing it was always this way. For instance, everybody is used to having a possibility to control Caché processes: the $Job system variable and associated classes/functions work magic in skilful hands. Stop, but now processes can end up being on different Caché servers…
This article is about how to gain as much transparency in controlling processes in ECP environment as in traditional (non ECP) one.
The DeepSee TroubleShooting Guide helps you track down and fix problems occurring in your DeepSee project. A common problem is finding less records than expected in a DeepSee Cube or a related Subject Area. The DeepSee TroubleShooting Guide suggests starting your investigation by checking the following:
This is a list of all the posts in the Data Platforms’ capacity planning and performance series in order. Also a general list of my other posts. I will update as new posts in the series are added.
You will notice that I wrote some posts before IRIS was released and refer to Caché. I will revisit the posts over time, but in the meantime, Generally, the advice for configuration is the same for Caché and IRIS. Some command names may have changed; the most obvious example is that anywhere you see the ^pButtons command, you can replace it with ^SystemPerformance.
While some posts are updated to preserve links, others will be marked as strikethrough to indicate that the post is legacy. Generally, I will say, "See: some other post" if it is appropriate.
Capacity Planning and Performance Series
Generally, posts build on previous ones, but you can also just dive into subjects that look interesting.
This article explains the basics of OpenVMS file structures, from a Caché prospective, and what you need to know to read and write any OpenVMS file with Caché, even the files with difficult file structures.
The information in this document is current as versions of InterSystems products released through 2024-06-06. This update date covers errors in that discovered up to 2024-08-12, but not changes present in new versions of InterSystems products.
Nevertheless, the details for existing products are not subject to frequent change.
In this post I would like to talk about the syslog table. I will cover what it is, how you look at it, what the entries really are, and why it may be important to you. The syslog table can contain important diagnostic information. If your system is having any problems, it is important to understand how to look at this table and what information is contained there.
By update
