#Deployment

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Software deployment is all of the activities that make a software system available for use. The general deployment process consists of several interrelated activities with possible transitions between them. 

Over time, while I was working with Interoperability on the IRIS Data Platform, I developed rules for organizing a project code into packages and classes. That is what is called a Naming Convention, usually. In this topic, I want to organize and share these rules. I hope it can be helpful for somebody.

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I know the next ones:

1. Place all different settings in environment variables. You have a different .env file for each environment, and you must add some code to Production for reading and setting these values. It's good for deploying into containers, but challenging for management when we have a large production. I mean, we have many settings that can vary depending on the environment: active flag, pool size, timeouts, and so on. Not only endpoints.

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Deploying new IRIS instances can be a time-consuming task, especially when setting up multiple environments with mirrored configurations.

I’ve encountered this issue many times and want to share my experience and recommendations for using Ansible to streamline the IRIS installation process. My approach also includes handling additional tasks typically performed before and after installing IRIS.

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IKO Helm Status: WFH

Here is an option for your headspace if you are designing an multi-cluster architecture and the Operator is an FTE to the design. You can run the Operator from a central Kubernetes cluster (A), and point it to another Kubernetes cluster (B), so that when the apply an IrisCluster to B the Operator works remotely on A and plans the cluster accordingly on B. This design keeps some resource heat off the actual workload cluster, spares us some serviceaccounts/rbac and gives us only one operator deployment to worry about so we can concentrate on the IRIS workloads.

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"Haul" a Portable Registry for Airgapped IrisClusters

Rancher Government Hauler streamlines deploying and maintaining InterSystems container workloads in air-gapped environments by simplifying how you package and move required assets. It treats container images, Helm charts, and other files as content and collections, letting you fetch, store, and distribute them declaratively or via CLI — without changing your existing workflows. Meaning your charts and what have yous, can have conditionals on your pull locations in Helm values, etc.

If you have been tracking how HealthShare is being deployed via IPM Packages, you can certainly appreciate the adoption of OCI compliance storage for the packages themselves using ORAS... which is core to the Hauler solution.

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