Most transactional applications have a 70:30 RW profile. However, some special cases have extremely high write IO profiles.

I ran storage IO tests in the ap-southeast-2 (Sydney) AWS region to simulate IRIS database IO patterns and throughput similar to a very high write rate application.

The test aimed to determine whether the EC2 instance types and EBS volume types available in the AWS Australian regions will support the high IO rates and throughput required.

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· May 25, 2023 12m read
AWS Capacity planning review example

I am often asked to review customers' IRIS application performance data to understand if system resources are under or over-provisioned.

This recent example is interesting because it involves an application that has done a "lift and shift" migration of a large IRIS database application to the Cloud. AWS, in this case.

A key takeaway is that once you move to the Cloud, resources can be right-sized over time as needed. You do not have to buy and provision on-premises infrastructure for many years in the future that you expect to grow into.

Continuous monitoring is required. Your application transaction rate will change as your business changes, the application use or the application itself changes. This will change the system resource requirements. Planners should also consider seasonal peaks in activity. Of course, an advantage of the Cloud is resources can be scaled up or down as needed.

For more background information, there are several in-depth posts on AWS and IRIS in the community. A search for "AWS reference" is an excellent place to start. I have also added some helpful links at the end of this post.

AWS services are like Lego blocks, different sizes and shapes can be combined. I have ignored networking, security, and standing up a VPC for this post. I have focused on two of the Lego block components;
- Compute requirements.
- Storage requirements.

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It seems like yesterday when we did a small project in Java to test the performance of IRIS, PostgreSQL and MySQL (you can review the article we wrote back in June at the end of this article). If you remember, IRIS was superior to PostgreSQL and clearly superior to MySQL in insertions, with no big difference in queries.

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InterSystems IRIS family has a nice utility ^SystemPerformance (as known as ^pButtons in Caché and Ensemble) which outputs the database performance information into a readable HTML file. When you run ^SystemPerformance on IRIS for Windows, a HTML file is created where both our own performance log mgstat and Windows performance log are included.

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A customer recently asked if IRIS supported OpenTelemetry as they where seeking to measure the time that IRIS implemented SOAP Services take to complete. The customer already has several other technologies that support OpenTelemetry for process tracing. At this time, InterSystems IRIS (IRIS) do not natively support OpenTelemetry.

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InterSystems IRIS offers various ways how to profile your code, in most cases it produces enough information to find the places where the most time is spent or where the most global sets. But sometimes it's difficult to understand the execution flow and how it ended at that point.

To solve this, I've decided to implement a way to build a report in a way, so, it's possible to dive by stack down

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You may have heard about our mg-dbx-napi interface for IRIS which provides insanely fast access from Node.js. If you've been following recent developments in the server-side JavaScript world, you'll be excited to know that mg-dbx-napi also works with Bun.js, the latter proving to be significantly faster than Node.js for many/most purposes.

Of course, if you're a Node.js user, you'll probably wonder how mg-dbx-napi compares with the Native API for Node.js that is included with IRIS.

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There is several classes that allow to create TCP/IP connections (eg: to connect to a service).

Example : %Net.FtpSession (port 21), %Net.HttpRequest (usually port 80 or 443)

AFAIK connection will stay open unless closed explicitly or if variable that hold the instance is garbage collected.

Is there a way to get a list of all active (open) TCP/IP connections IRIS is maintaining so far ?

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When there's a performance issue, whether for all users on the system or a single process, the shortest path to understanding the root cause is usually to understand what the processes in question are spending their time doing. Are they mostly using CPU to dutifully march through their algorithm (for better or worse); or are they mostly reading database blocks from disk; or mostly waiting for something else, like LOCKs, ECP or database block collisions?

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I would like to get a list of all globals that have been read or written during a given context. In Portal, there are counters in dashboard that give the number of read/write to globals in general.

What I am looking for :

- some handler (eg: like $ZTRAP) that will be called everytime something is read/written to a global.

- to activate a "global log mode" in Portal that will dump some information to a file (like ^ISCSOAP for SOAP requests).

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Windows Subsystem for Linux (WSL) is a feature of Windows that allows you to run a Linux environment on your Windows machine, without the need for a separate virtual machine or dual booting.

WSL is designed to provide a seamless and productive experience for developers who want to use both Windows and Linux at the same time**.

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Hello Everyone,

The Certification Team of InterSystems Learning Services is developing an InterSystems IRIS Developer Specialist certification exam, and we are reaching out to our community for feedback that will help us evaluate and establish the contents of this exam.

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Hi Community,

Watch this video to learn how InterSystems software enables both horizontal and vertical scaling:

Scaling for User and Data Volume in InterSystems IRIS
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Is there a difference in outcome between the two screengrabs below?

In both cases, when certain conditions are met, a transformation is called and the output sent on to two targets. In the first case we surmise the transformation is called twice, and the output of the first run sent to the first target, the output of the second run to the second target. In the second case we surmise the transformation is called once, and the output duplicated and sent to the two targets.

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