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Target Practice for IrisClusters with KWOK

KWOK, Kubernetes WithOut Kubelet, is a lightweight tool that simulates nodes and pods—without running real workloads—so you can quickly test and scale IrisCluster behavior, scheduling, and zone assignment. For those of you wondering what value is in this without the IRIS workload, you will quickly realize it when you play with your Desk Toys awaiting nodes and pods to come up or get the bill for provisioning expensive disk behind the pvc's for no other reason than just to validate your topology.

Here we will use it to simulate an IrisCluster and target a topology across 4 zones, implementing high availability mirroring across zones, disaster recovery to an alternate zone, and horizontal ephemeral compute (ecp) to a zone of its own. All of this done locally, suitable for repeatable testing, and a valuable validation check mark on the road to production.

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This anthropic article made me think of several InterSystems presentations and articles on the topic of data quality for AI applications. InterSystems is right that data quality is crucial for AI, but I imagined there would be room for small errors, but this study suggests otherwise. That small errors can lead to big hallucinations. What do you think of this? And how can InterSystems technology help?

https://www.anthropic.com/research/small-samples-poison

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Hey Community,

Enjoy the new video on InterSystems Developers YouTube:

⏯ The Road to AI in Healthcare @ Ready 2025

https://www.youtube.com/embed/Yqhq2JEWeCo
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Hey Community!

We're happy to share a new video from our InterSystems Developers YouTube:

⏯ Advanced SQL join table cardinality estimates @ Ready 2025

https://www.youtube.com/embed/8FE9v7xkEj8
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