Hi guys!

Suppose you developed a tool, framework, library on InterSystems ObjectScript for InterSystems Data Platform, share it via Open Exchange and want people to install it.

What is the best strategy if it is a library and supposed to be called from different namespaces?

Here are the following thoughts:

1. Tool's developer should be able to use globals to read/store data the tool needs.

2. Tool's consumer should be confident, that the thing he/she installs will not harm the application's data.

3. A tool should be callable from any application's namespace.

4. Tool's installation(in general) should not request manual security changes (e.g. grant the write access to IRISLIB) and %YourClass is not an option.

5. It's easy to uninstall the tool - just delete the namespace/database (maybe delete some web-apps too).

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Hi Community!

Here is the digest of what has happened on Open Exchange in November and December 2018!

Application Releases

We had 5 releases in November and December:

Cache ODBC for Node.js

This library aims to provide simple access to ODBC data sources for node.js.

Laracache

Laravel package providing InterSystems Cache as a data source using ODBC

DeepSeeButtons

Tool for analyzing your DeepSee Environment

DSW Reports

Addon for DeepSee Web which provides online reports and PDF emailing reports using InterSystems DeepSee dashboards

AnalyseThis

Utility to easily transform a CSV file into a personalized preview of DeepSee

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Hi Community!

New Badges're already on Global Masters Advocacy Hub!

We're happy to announce that this year we again introduced three annual badges on Global Masters Advocacy Hub to let you remember how much you contributed to Developer Community in 2018. Here they are:

DC Best-Selling Author 2018
DC Expert 2018
DC Opinion Leader 2018

Let's take a closer look at the DC Wall of Fame 2018 and greet everyone with big applause!

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Hi Community!

It's time to announce the best articles on InterSystems Data Platforms you published in 2018!

And here are three best articles for the year (criteria is the number of views):

First place: K-Means clustering of the Iris Dataset, by Niyaz Khafizov 1564

Second place: Continuous Delivery of your InterSystems solution using GitLab - Part I: Git, by Eduard Lebedyuk 1206

Third place: Replacing ZEN - Part 1 - Introduction, by Peter Cooper 933

Congrats to authors!

And what are the best articles by InterSystems Data Platforms?

See below

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Hi Community!

Thank you for being with InterSystems Developer Community yet another year! We appreciate it very much!

We want to know how helpful DC for you today and how could we make it better.

Could you please go through this short 5 min survey which will let us know what do you think about DC and what could be improved.

We wish you a Merry Christmas and a Happy New Year!

Sincerely,

Your InterSystems Developer Community Team

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Hi Community!

We try a new approach to the InterSystems Developers YouTube Videos called "Coding Talks"!

Coding Talks is a short video in which the developer demonstrates a particular feature or functionality of InterSystems Data Platforms which he/she uses to in coding. Typical format: the face on side and editor with ObjectScript.

Check this video I made by myself participating in Advent of Code 2018 and coding with InterSystems ObjectScript in VSCode.

Coding Advent of Code 2018 Using InterSystems ObjectScript

https://www.youtube.com/embed/GyFJ67jqXCU
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Announcement
· Dec 3, 2018
DC October-November 2018 release

Hi Community!

As you know or maybe guess we keep working on making Developer Community a better place for you, developers on InterSystems Data Platforms.

And here is the release on what we did in October-November.

Key visible enhancements:

better monthly digests,

InterSystems Best Practices,

Speed up mailings.

And a lot of small, but nice things - check the details inside.

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Hi All!

I asked previously about the DR server in the cloud but actually, I'm curious about the backup server to use as analytics server more than for recovery in DR case.

There is a recommended practice to use an async mirror as a server for BI (InterSystems Analytics, DeepSee)

The question is if I have PRIMARY in the cloud (AWS, Google, Azure, etc) "how far" should async mirror member be placed? Same cloud, same private cloud or it doesn't matter at all for analytics purposes?

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Hi Community!

Consider I have InterSystems IRIS server in a cloud and want to introduce a DR server for it.

Are there any requirements for DR server for InterSystems IRIS if it is in a cloud?

Should it be the same subnet? One private cloud?

Can DR server be placed on another cloud, say Primary on Google Cloud and DR on Azure? Are there any caveats/concerns?

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