This is the third article in the series about initializing IRIS instances with Docker. This time, we will focus on Enterprise Cache Protocol (ECP).
In a very simplified way, ECP allows configuring some IRIS instances as application servers and others as data servers. Detailed technical information can be found in the official documentation.
In this InterSystems IRIS 2020.1 Tech Talk, we focus on DevOps. We'll talk about InterSystems System Alerting and Monitoring, which offers unified cluster monitoring in a single pane for all your InterSystems IRIS instances. It is built on Prometheus and Grafana, two of the most respected open source offerings available.
Next, we'll dive into the InterSystems Kubernetes Operator, a special controller for Kubernetes that streamlines InterSystems IRIS deployments and management. It's the easiest way to deploy an InterSystems IRIS cluster on-prem or in the Cloud, and we'll show how you can configure mirroring, ECP, sharding and compute nodes, and automate it all.
Finally, we'll discuss how to speed test InterSystems IRIS using the open source Ingestion Speed Test. This tool is available on InterSystems Open Exchange for your own testing and benchmarking.
Very recently Docker showed a very new feature added to their Docker Desktop tool. It was a good way to start using Docker on macOS and Windows, and they also released the same tool for Linux as well. And new feature Extensions add an ability to extend this GUI application with some extra abilities from extensions.
This is yet another short post that is intended to simplify developers' life. Now we'll talk about how to make GitHub run unit tests with every push to the repository by adding just one file to the repo. For free. On Github Cloud. Sounds great, isn't it?
It is possible and very easy to do. Credit goes to @Dmitry Maslennikov (and his repo), ZPM Package Manager, and GitHub Actions. Let's see how this all works!
In this article, we’ll look at one of the ways to monitor the InterSystems IRIS data platform (IRIS) deployed in the Google Kubernetes Engine (GKE). The GKE integrates easily with Cloud Monitoring, simplifying our task. As a bonus, the article shows how to display metrics from Cloud Monitoring in Grafana.
Note that the Google Cloud Platform used in this article is not free (price list), but you can leverage a free tier. This article assumes that you already have a project in the Google Cloud Platform (referred to as <your_project_id>) and have permission to use it.
I am looking to migrate a few legacy debt collection applications built using InterSystems Cache to AWS. Does anyone here have any experience, ideas and best practices on migrating Cache products to the public cloud?
I want to start this project and wants to know the best practices, you guys using to arrange the project. I have done lot of mvc projects and API's in c#. But Intersystems is new to me. Please give me some suggestions like how can I Arrange the objects. Like for eg. Where can I store the productions objects like services,process and operations. will that be like under each resouces folder name? and what are the base classes, and how can I store them? basically please give me some idea about how Can I arrange them .
Writing a script for the application deployment can be very interesting to ensure rapid deployment without forgetting anything.
config-api is a library to help developers to write configuration scripts based on a JSON document.
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We have a need to track Database changes over time - down to the SQL level of granularity if possible. Such as: User xyz runs routine ^abc and we get something similar to a changelog that tells us: table A had this value updated, insert, update etc....
Is that possible using IRIS level tools (Audit Log, Journal File, etc...) , is there a way to convert the global sets and kills from the journals into SQL level changes?
I am pleased to announce the availability of InterSystems Container Registry. This provides a new distribution channel for customers to access container-based releases and previews. All Community Edition images are available in a public repository with no login required. All full released images (IRIS, IRIS for Health, Health Connect, System Alerting and Monitoring, InterSystems Cloud Manager) and utility images (such as arbiter, Web Gateway, and PasswordHash) require a login token, generated from your WRC account credentials.
In the previous article, we combine ZPM with Config-API to load a configuration on module loading\install.
It could be useful for small applications, but for a large application, it's not convenient.
Some changes in IRIS configuration require a restart of IRIS. This is no big issue as long as I have access to the server command line with sufficient privileges.
In a container, this is not always given. Stopping IRIS from the terminal/session prompt is no problem. But the restart after is.
Note1: container start-stop is no option as it might be removed by option --rm in docker run Note2: the target is linux (manly in docker). Windows is excluded
I'm almost running out of disk space so I want to move 1 DB to a different hard drive. It's a rather simple but lengthy action during a shutdown of IRIS. But is this somehow possible under runtime in a stand-alone installation? I'm looking for kind of a "local drive failover"
I'm looking for a way to have an IRIS db distributed over several (hw) drives. Without touching the internal data structures (e.g. mapping) ! Are there any options in file systems to achieve this "splitting" or "appending" ?
After running an extensive block of daily statistics my IRISTEMP has expanded dramatically. But FreeSpace shows 97% unused and FREE space. How can I shrink IRISTEMP in runtime without shutdown and manual intervention (which was the traditional approach)
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