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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** 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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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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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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Article
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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Introduction

InterSystems has recently completed a performance and scalability benchmark of IRIS for Health 2020.1, focusing on HL7 version 2 interoperability. This article describes the observed throughput for various workloads, and also provides general configuration and sizing guidelines for systems where IRIS for Health is used as an interoperability engine for HL7v2 messaging.

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Article
Yuri Marx · Mar 5, 2021 3m read
Fraud Management with InterSystems IRIS

Organizations around the world lose an estimated five percent of their annual revenues to fraud, according to a survey of Certified Fraud Examiners (CFEs) who investigated cases between January 2010 and December 2011. Applied to the estimated 2011 Gross World Product, this figure translates to a potential total fraud loss of more than $3.5 trillion (source: https://www.acfe.com/press-release.aspx?id=4294973129).

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Good day, developers!

The "apptools-admin" project is not only a set of tools for the administrator, but a platform for the rapid creation of a prototype of any solution.
For example, Photo Album, Music Player, and Personal Library all come together in a user-friendly treasure chest design.

Load http:// your-host:your-port/apptoolsrest/a/infochest

Change the path to your treasure files and start viewing, listening or reading from any convenient device: desktop, tablet or smartphone.

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Hi community, I used website-analyzer - an app that uses InterSystems NLP and Crawler4J to extract all website content and do NLP on it. I limited to 200 pages and discovered this:

Top 10 Concepts - business and content topics in the InterSystems site:

Other frequency concepts, see the focus in the iris speed, scale and data value:

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Article
Yuri Marx · Jul 25, 2020 1m read
Develop integration service

The InterSystems IRIS has an integration engine with these core elements:

1. Adapters: are inbound (data/message input/request) and outbound (data/message output/response) integration logic specialized in the type of data or message protocol (file, http, etc.). They are the interface to allows connect with source or target data repositories or systems.

2. DTL: is a component to mapping and transform data between two components in the flow orchestration.

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Article
Yuri Marx · Aug 22, 2020 1m read
Transition from Cache to IRIS: Value Canvas

Some clients ask me about migrate from Cache to IRIS. Why migrate to IRIS? Cache is excellent, stable, has good performance. These clients are right, but in the last years, the digital transformation imposed more complete solutions for the new requirements and InterSystems was a visionary to perceive it and launch IRIS.
It is a data platform ready to this digital transformation challenge. To show this, I created a Value Canvas.

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