#Distributed Data Management

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 Distributed Data Management is a  software architecture for creating, managing and accessing data on a remote computer.

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Article Yuri Marx · Apr 13 5m read

The PACELC theorem and the InterSystems IRIS

The PACELC theorem was created by Daniel Abadi (University of Maryland, College Park) in 2010 as an extension of the CAP theorem (created by Eric Brewer - Consistency, Availability, and Partition Tolerance). Both help design how to architect the most suitable operation of data platforms in distributed environments under the aspects of consistency versus availability. The difference is that PACELC also allows analysis of the best option for non-distributed environments, making it the gold standard for considering all possible scenarios to define your deployment topology and architecture.

The CAP theorem states that in distributed systems, it is not possible to have consistency, availability, and partition tolerance simultaneously, requiring a choice of two out of three, according to the following diagram.


Source: https://medium.com/nerd-for-tech/understand-cap-theorem-751f0672890e

#InterSystems IRIS #Distributed Data Management #High Availability #InterSystems Business Solutions and Architectures #Performance
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Article sween · Oct 16, 2025 10m read

IKO Plus: KWOK IrisCluster Topology and Operator Node/Pod Simulation w/o IRIS

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.

#InterSystems Kubernetes Operator (IKO) #Distributed Data Management #Kubernetes #Testing
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