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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InterSystems is pleased to announce a new Developer Download site providing full kit versions of InterSystems IRIS Community Edition and InterSystems IRIS for Health Community Edition. These are available free of charge for application development use.

You can download directly from the InterSystems Developer Community by selecting Download InterSystems IRIS.

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Hi all, New user here. I have an instance of Google Cloud Iris Health Community Edition running and am logged in on terminal. I follow the instructions for Google Cloud IRIS Health Community Edition. How do I get to iris? iris status yields nothing, there is no /bin/iris and sudo docker ps -a shows no containers but there probably is a iris container somewhere on the instance? 'Visit the site' yields ERR_CONNECTION_REFUSED

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I have successfully created REST service classes on my local IRIS server following this book: Using the /api/mgmnt/ Service | Creating REST Services | InterSystems IRIS Data Platform 2021.2

I am now 1) trying to edit impl.cls in VS Code and 2) export it to my local repo so I can push to the remote repo.

When I click on my project in VS Code and 'Add to project' and choose the new package, spec.cls and impl.cls, I get the following error:

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GA releases are now published for the 2020.2 version of InterSystems IRIS, IRIS for Health, and IRIS Studio!

A full set of containers for these products are available from the WRC Software Distribution site, including community editions of InterSystems IRIS and IRIS for Health.

The build number for these releases is 2020.2.0.211.0.

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What is Web Scraping:

In simple terms, Web scraping, web harvesting, or web data extraction is an automated process of collecting large data(unstructured) from websites. The user can extract all the data on particular sites or the specific data as per the requirement. The data collected can be stored in a structured format for further analysis.

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Question
prashantha M · Aug 2, 2020
Kafka Java Host

I'm trying to produce Kafka Message to Topic using Java Objects. I have build Business operation and Jar file and trying to execute. I'm getting following exception

Terminating Job 8316 / 'IrisKafkaProducer' with Status = ERROR #5046: Error executing java command 'init() returned: "ERROR #5034: Invalid status code structure ("java.sql.SQLException: [InterSystems IRIS JDBC] Communication link failure: Access Denied")"'. Java may not be installed correctly on your system., %QuitTask=

Getting following trace at Audit Database

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Hello community! I'm working on an internal innovation effort at InterSystems considering our documentation/resources around upgrades. As part of this, I'd love to have your answers to any/all of the following questions, either via comment or (if you prefer your answers to be more private) direct message.

Thanks in advance!

What InterSystems products + versions are you running? ($zv is ideal.)

What makes you decide to upgrade?

What are your blockers to upgrading?

What is your process for evaluating and planning a possible upgrade?

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Hi,

What is a Foundation Production and what does it do?

We are currently on HealthShare Health Connect 15.03 and we are starting the process of moving to HealthShare Health Connect 2019.1.

The 2019.1 Installation Guide is pretty clear that it is essential, but I'm having trouble working out exactly what it does?

Leading on from this is what should I call it?

From the installation guide:

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Hi Developers!

We are going to establish a series of InterSystems IRIS Online Programming contests this year.

In March we started with ObjectScript CLI and here is the schedule of topics for the next few months:

  • April - InterSystems IRIS with REST API
  • May - InterSystems IRIS Native API application: use Python, JS, .NET, Java native APIs in your application to use IRIS
  • June-July - InterSystems IRIS AI/ML solutions. IntegratedML as a bonus
  • August - InterSystems IRIS for Health FHIR application
  • September - InterSystems IRIS Full-stack application: IRIS as a server and UI on any framework and any form: and web, desktop, mobile UI
  • October - Interoperability solutions for InterSystems IRIS and InterSystems IRIS for Health
  • November - Analytics Solution using InterSystems IRIS
  • December - Multi-model solution using InterSystems IRIS

All applications should be runnable with InterSystems IRIS in a docker container.

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Quite a complex scenario we are trying to solve but should be able to understand.

We're developing a task executer that runs on a server with a certain timezone.

The tasks run every day at a defined time, but in different timezones.

We're saving in database at what time we want to execute the task, and in what timezone (don't go to the save in UTC pitfall, as with DST it will be at different times)

What I want to do if when opening a task from the database, convert 02:00 Europe/Madrid, either to UTC or to local (server) time.

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Hello All,

I am just wondering if there is any inbuilt function or utility available in IRIS to clean up "null" elements from JSON e.g. I want to remove "null" elements from payload below before I do any processing with it.

{

recipients: [

{ "name":"Utsavi", "email":"utsavi@gmail.com"},

{ "name":"Utsavi 1", "email":"utsavi1@gmail.com"},

null, null

],

content:[null, {"title":"Test.pdf", "data":"ygwehfbnwfbhew"} ]

}

Thanks & Regards,

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Hello,

I am writing a POST API using IRIS. My POST API Endpoint invokes a Business Service -> Business Process -> Business Operation in an IRIS production .

I am trying to import the JSON payload into a JSON enabled class and work with the JSON class in my Business Process and invoke different Business operation(s) based on the data supplied. This works fine for simpler JSON schemas.

The POST API I am writing now needs to handle a complex schema. I.e. one of the Item on my JSON schema ("recipient") can be an array of "anyof" 5 different schemas.

e.g.

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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.

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The following steps show you how to display a sample list of metrics available from the /api/monitor service.

In the last post, I gave an overview of the service that exposes IRIS metrics in Prometheus format. The post shows how to set up and run IRIS preview release 2019.4 in a container and then list the metrics.


This post assumes you have Docker installed. If not, go and do that now for your platform :)

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This week I am going to look at CPU, one of the primary hardware food groups :) A customer asked me to advise on the following scenario; Their production servers are approaching end of life and its time for a hardware refresh. They are also thinking of consolidating servers by virtualising and want to right-size capacity either bare-metal or virtualized. Today we will look at CPU, in later posts I will explain the approach for right-sizing other key food groups - memory and IO.

So the questions are:

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Hi All, We have been using DeepSee which has been the integrated Analytic Dashboard built over Cache Cubes. It works fine but it's visual capabilities are limited and most probably is getting phased out. If I am not wrong, Tableau is the suggested alternative to DeepSee . It is expensive and a big and considerable shift from existing technology I wanted to get an opinion of the community as to these few key points - What other BI tools others have been using with IRIS and what have been their experience - For which tools are the best inbuilt support / api's avaialble in IRIS

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Hi:

I'm using Docker and I don't get how you create new folders in the container.

I'm using Docker on Windows running the iris health community.

I want to create 2 folders on the instance and be adding files to it; I must be missing something as i can't see how this gets easily managed?

May retry just downloading the main community HS edition not through docker but could how to amend the error

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Now I want to return a large amount of data to the front end. The string length has reached 40000 +, and the returned data needs to be encrypted by AES + Base64. I can convert the string into a stream. AES can use the AESCBCEncryptStream method to encrypt, but Base64 has no stream method。Anyone who get the solution would you kindly share the solution please。

Any help would be appreciated. Thanks!

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I am looking for any pointers on how Intersystems IRIS Health can monitor a filesystem/Folder that user/s /applications can drop in CSV files via FTP and load the file to the IRIS DB . I understand that I will need create a record map for the CSV files, I am looking for any configuration references on how how to process files using file inbound adapters with the intent to pick up the CSV file as they are dropped in the target location and pass it to a Business process and ingest into the IRIS database

Any help would be greatly appreciated ...

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UPDATE: Developer Preview 7 has been released.

Update 7 includes a number of stability improvements over previous updates and support for support for all of the planned 2022.1 features. If you notice any problems at all, now's the time to let us know. The docker pull commands below have been updated with the latest build numbers. Enjoy!

Developer Preview releases are now available for the 2022.1 version of InterSystems IRIS, IRIS for Health, and HealthShare Health Connect.

As this is InterSystems' first developer preview release, let's take a moment to describe what these are. The developer preview program enhances the previous IRIS preview program with approximately bi-weekly releases that add features as they are ready. This allows us to get feedback on capabilities and enhancements as they're available. You'll see below a list of enhancements that are targeted for 2022.1, which are not included in the first developer preview. Look for those over the coming weeks.

We are eager to learn from your experiences with this new release ahead of its General Availability release. Please share your feedback through the Developer Community so we can build a better product together.

InterSystems IRIS Data Platform 2022.1 is an extended maintenance (EM) release. 2022.1 includes the many important new capabilities and enhancements have been added in 2021.2, the continuous delivery (CD) release, since 2021.1, the previous EM release. Please refer to the release notes for 2021.2 for an overview of these enhancements.

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Docker 20.10.14 (released March 23, 2022) changes the Linux capabilities given to containers in a manner that is incompatible with the Linux capability checker in InterSystems IRIS 2021.1 (and up) containers.

Users running Docker 20.10.14 on Linux will find that IRIS 2021.1+ containers will fail to start and the logs will incorrectly report that required Linux capabilities are missing. For example:

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** Revised Feb-12, 2018

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

Introduction

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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