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This document describes considerations around SDDC and HCI solutions for InterSystems Clients.

Software Defined Data Centers (SDDC) and Hyper-Converged Infrastructure (HCI) – Important Considerations for InterSystems Clients

A growing number of IT organizations are exploring the potential use of SDDC and HCI solutions. These solutions appear attractive and are marketed as simplification of IT management and potential cost reductions across heterogeneous data centers and cloud infrastructure options. The potential benefits to IT organizations are significant, and many InterSystems clients are embracing SDDC, HCI, or both

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InterSystems is pleased to announce that InterSystems IRIS Data Platform 2018.1.0 is now released.

This press release was issued this morning.

InterSystems IRIS is a complete, unified data platform that makes it faster and easier to build real-time, data-rich applications.  It mirrors our design philosophy that software should be interoperable, reliable, intuitive, and scalable

Last comment 16 May 2018
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Hi, Community!

Please find the digest of the best articles you posted on DC in 2017 regarding InterSystems Data platform.

We had 280 articles in 2017 and split them into 3 categories: posts gathered most of the views, most voted posts and most commented posts. 

Here we go!

TOP 20 Most viewed

Vue.js: getting started with a basic HTML/REST/JSON example, by Ward De Backer  1936

InterSystems Data Platforms and performance – VM Backups and Caché freeze/thaw scripts, by Murray Oldfield  175

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Hi, Community!

In 2017 we had 734 different contributors to Developer Community who posted articles and announcements, questions and answers.

This post is a compilation of Top Authors, Top Experts and Top Opinion Makers of InterSystems Developer Community in 2017.

It is a good guide "Who to Follow" in 2018.

And I'm glad to present these people!

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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.

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This post provides guidelines for configuration, system sizing and capacity planning when deploying Caché 2015 and later on a VMware ESXi 5.5 and later environment.

I jump right in with recommendations assuming you already have an understanding of VMware vSphere virtualization platform. The recommendations in this guide are not specific to any particular hardware or site specific implementation, and are not intended as a fully comprehensive guide to planning and configuring a vSphere deployment -- rather this is a check list of best practice configuration choices you can make. I expect that the recommendations will be evaluated for a specific site by your expert VMware implementation team.


A list of other posts in the InterSystems Data Platforms and performance series is here.

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++Update: August 2, 2018

This article provides a reference architecture as a sample for providing robust performing and highly available applications based on InterSystems Technologies that are applicable to Caché, Ensemble, HealthShare, TrakCare, and associated embedded technologies such as DeepSee, iKnow, Zen and Zen Mojo.

Azure has two different deployment models for creating and working with resources: Azure Classic and Azure Resource Manager. The information detailed in this article is based on the Azure Resource Manager model (ARM).

Last comment 8 July 2016
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In previous posts I have shown how it is possible to collect historical performance metrics using pButtons. I go to pButtons first because I know it is installed with every Data Platforms instance (Ensemble, Caché, …). However there are other ways to collect, process and display Caché performance metrics in real time either for simple monitoring or more importantly for much more sophisticated operational analytics and capacity planning. One of the most common methods of data collection is to use SNMP (Simple Network Management Protocol). SNMP a standard way for Caché to provide management and monitoring information to a wide variety of management tools. The Caché online documentation includes details of the interface between Caché and SNMP. While SNMP should 'just work' with Caché there are some configuration tricks and traps.

Last comment 17 March 2017
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