** Revised Feb-12, 2018

While this article is about InterSystems IRIS, it also applies to Caché, Ensemble, and HealthShare distributions.


Memory is managed in pages. The default page size is 4KB on Linux systems. Red Hat Enterprise Linux 6, SUSE Linux Enterprise Server 11, and Oracle Linux 6 introduced a method to provide an increased page size in 2MB or 1GB sizes depending on system configuration know as HugePages.

At first HugePages required to be assigned at boot time, and if not managed or calculated appropriately could result in wasted resources. As a result various Linux distributions introduced Transparent HugePages with the 2.6.38 kernel as enabled by default. This was meant as a means to automate creating, managing, and using HugePages. Prior kernel versions may have this feature as well however may not be marked as [always] and potentially set to [madvise].

Transparent Huge Pages (THP) is a Linux memory management system that reduces the overhead of Translation Lookaside Buffer (TLB) lookups on machines with large amounts of memory by using larger memory pages. However in current Linux releases THP can only map individual process heap and stack space.

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Hi team,

I'll start with an apology as I am trying to wrap my head around the architecture of how InterSystems IRIS database management works. I am attempting to connect to the platform remotely through say a JDBC or ODBC connection in order to run queries, searches (through SQL statements) on my laptop and was trying to understand whether this would be possible? It is possible to setup an inbound client connection and wanted to better understand the architecture of how the database association works for IRIS database management. Does it use it's own internal SQL database or are we able to connect to our own database and which databases are certified to run against the platform?

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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?

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In this post I show strategies for backing up Caché using External Backup with examples of integrating with snapshot based solutions. The majority of solutions I see today are deployed on Linux on VMware so a lot of the post shows how solutions integrate VMware snapshot technology as examples.

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Myself and the other Technology Architects often have to explain to customers and vendors Caché IO requirements and the way that Caché applications will use storage systems. The following tables are useful when explaining typical Caché IO profile and requirements for a transactional database application with customers and vendors. The original tables were created by Mark Bolinsky.

In future posts I will be discussing more about storage IO so am also posting these tables now as a reference for those articles.

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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.

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Hi Folks,

I created a persistent class as below

Class myclass.DataBase Extends %Persistent

Property ID As %String;

Property Skill As list Of myclass.SerialTablelist;

and Created another Serial class as

Class myclass.SerialTablelist Extends %SerialObject

Property PSkill As %String;

Property OSkill As %String;

Now I will save the id as below

do rs.Prepare("Insert into myclass.DataBase(ID)VALUES(?)")
do rs.Execute(ID)
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For those that, at some point, need to test what means that of ECP for horizontal escalability (computing power and/or users and processes concurrency), but they're lazy o have no much time to build the environment, configure the server nodes, etc..., I've just published in Open Exchange the app/sample OPNEx-ECP Deployment .

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Released with no formal announcement in IRIS preview release 2019.4 is the /api/monitor service exposing IRIS metrics in Prometheus format. Big news for anyone wanting to use IRIS metrics as part of their monitoring and alerting solution. The API is a component of the new IRIS System Alerting and Monitoring (SAM) solution that will be released in an upcoming version of IRIS.

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The TOGAF is the The Open Group Architecture Framework. It provides an approach for planning, design, implement, deploy and govern your EA (Enterprise Architecture) projects.

The TOGAF has a concept called Building Block. It is any element that can be used, reused a executed to deliver value and new functions to the business.

In the picture above, I present to you the main IRIS building blocks to create fantastic apps.

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This post provides useful links and an overview of best practice configuration for low latency storage IO by creating LVM Physical Extent (PE) stripes for database disks on InterSystems Data Platforms; InterSystems IRIS, Caché, and Ensemble.

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I have attached a document that describes the product I have developed called NiPaRobotica Pharmacy. This is an interface I developed that accepts Pharmacy Dispense Requests and converts the line items on the order into dispense dialogues which it sends to pharmacy robots. I deployed the interface into 3 Hospital pharmacies two of which had 6 robots that were arranged in such a way that the dispense chutes channelled medications to desks by the pharmacists sitting in windows serving 1200 patients a day. The robots cut the average waiting time from 2 hours down to one hour.

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Yuri Marx · May 24, 2021 1m read
Data Platform Levels

It's a challenge when you need, as a software architect, design a corporate architecture to meet the current business requirements, you need achieve level 5. With InterSystems IRIS.
it's possible. With 1 product you get SQL + NoSQL + ESB + BI + Open Analytics + Real time virtual cubes + NLP + AutoML + ML (with Python) and Advanced cloud + Sharding support.

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