This article was written as an attempt to share the experience of installing the InterSystems Caché DBMS for production environment.
We all know that the development configuration of a DBMS is very different from real-life conditions.
As a rule, development is carried out in “hothouse conditions” with a bare minimum of security measures, but when we publish our project online, we must ensure its reliable and uninterrupted operation in a very aggressive environment.

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Hi Community!

Consider I have InterSystems IRIS server in a cloud and want to introduce a DR server for it.

Are there any requirements for DR server for InterSystems IRIS if it is in a cloud?

Should it be the same subnet? One private cloud?

Can DR server be placed on another cloud, say Primary on Google Cloud and DR on Azure? Are there any caveats/concerns?

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Hi All!

I asked previously about the DR server in the cloud but actually, I'm curious about the backup server to use as analytics server more than for recovery in DR case.

There is a recommended practice to use an async mirror as a server for BI (InterSystems Analytics, DeepSee)

The question is if I have PRIMARY in the cloud (AWS, Google, Azure, etc) "how far" should async mirror member be placed? Same cloud, same private cloud or it doesn't matter at all for analytics purposes?

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Hello,

We are trying to migrate all our production to new IRIS servers. To test everything is working fine, and to be able to script the process, we want to import the data into new IRIS servers using a backup file (created with ^BACKUP). But we've found that IRIS doesn't recognize Ensemble backups so we can't import it using ^DBREST :-O

Any of you know how to import in IRIS an Ensemble backup file?

Thanks a lot,
David

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Hi,

I was understanding the cluster configuration supported by the Cache. Have couple of queries around that:

1. In Cache version 2018.2, there is a shrading concept which splits the data of a Master Data server into multiple small data server which store shraded data.

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Hi,

A site has a Mirror set, and an Asynchronous DR. The disk drives for each of the instances are local disks and the databases are large (>2 TB)

The current backup strategy is started off as using Cache Backup and is still the case today, but the size and time it take t do the backup is obviously prohibitive.

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