In this article, we’ll build a highly available IRIS configuration using Kubernetes Deployments with distributed persistent storage instead of the “traditional” IRIS mirror pair. This deployment would be able to tolerate infrastructure-related failures, such as node, storage and Availability Zone failures. The described approach greatly reduces the complexity of the deployment at the expense of slightly extended RTO.

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Most CloudFormation articles are Linux-based (no wonder), but there seems to be a demand for automation for Windows as well. Based on this original article by Anton, I implemented an example of deploying a mirror cluster to Windows servers using CloudFormation.I also added a simple walk through.
The complete source code can be found here.

Update: 2021 March 1 I added a way to connect to Windows shell by public key authentication via a bastion host as a one-liner.

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When I create a TASK on the Primary mirror member and Try to create the same TASK in the backup mirror member,  It Gives me CSP Application error.

The TASK gets created in the Primary node without any errors and When creating in the Backup node it prompts the error.

It happens is IRIS and I didn't face this in CACHE.

Finally what I did is export the TASK in Primary and Imported in Backup.

Is this a feature of IRIS?

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In the context of IKO (Iris Kubernetes Operator) the question of Service not redirecting dynamically to the correct Pod is still pending.
In production this can be dangerous since an overload (or any other simpler problem) can cause you to change the main Pod and leave the application inoperable until we intervene.

Intersystems support warned that this is still an issue of IKO, but there are some possibilities that I am studying.

To explore an idea I had, I would like the help of this Forum to answer the following question:

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Hey everyone.

I have noticed that my backup mirror is warning that the MirrorDatabaseLatencyTime is having a bad time (time in ms is 3000, and warnvalue is 3000). While I look into what may be causing this latency between the two servers, I was considering if reducing the size of the journal files would improve this value in any way.

My assumption is that reducing the file size would mean that the frequency of the journal files being created would be increased, but the reduced size would mean that the transfer and application of each file would be reduced.

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First of all, let me state that I am no senior InterSystems expert. 

In my organization, we have a HealthShare Health Connect setup where each namespace has one code database and one data database, which are both actively mirrored. We have two nodes in the mirror.

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I work on deploying IRIS inside Docker container. I really like %Installer class can automate many steps. I want to establish an ECP connection to a mirror database and then define a remote database on the application server. I have already seen we can create local database and namespace in %Installer. What code is needed to establish ECP connection?

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Hey Developers,

We're pleased to invite you to join the next InterSystems IRIS 2020.1 Tech Talk: DevOps on June 2nd  at 10:00 AM EDT! 

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. 


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Hi, we have mirrored databases, now we have three nodes. Primary, backup, async. They are sync by journals and with some TB each node (expensive storage).

I would like to have a scenario where the two nodes (Primary and backup) have the same amount of messages (purge task of x days) , both as failover, but the asynchronous node should have more messaging, as much as the storage allows us. We want to use this node so provider can give support(search old messages), but not have databases in production that are so large that they are hardly consulted.

Any ideas?

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