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Update deployment-infrastructure.adoc (#190)
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modules/ROOT/pages/deployment-infrastructure.adoc

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@@ -32,23 +32,23 @@ We will use the term "machine" to indicate a cloud instance (on any cloud provid
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* N machines to run the desired number of {zdm-proxy} instances:
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** You will need one machine for each {zdm-proxy} instance.
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** Requirements for each {zdm-proxy} instance:
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*** Ubuntu Linux 20.04 or 22.04, RedHat Family Linux 7 or newer
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*** Ubuntu Linux 20.04 or 22.04, Red Hat Family Linux 7 or newer
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*** 4 vCPUs
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*** 8GB RAM
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*** 20GB - 100GB root volume
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*** Equivalent to AWS `c5.xlarge` / GCP `e2-standard-4` / Azure `A4 v2`
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* One machine for the jumphost, which is typically also used as Ansible Control Host and to run the monitoring stack (Prometheus + Grafana):
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** The most common option is using a single machine for all these functions, but you could split these functions across different machines if you prefer.
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** Requirements:
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*** Ubuntu Linux 20.04 or 22.04, RedHat Family Linux 7 or newer
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*** Ubuntu Linux 20.04 or 22.04, Red Hat Family Linux 7 or newer
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*** 8 vCPUs
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*** 16GB RAM
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*** 200GB - 500GB storage (depending on the amount of metrics history that you wish to retain)
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*** Equivalent to AWS `c5.2xlarge` / GCP `e2-standard-8` / Azure `A8 v2`
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* 1-M machines to run either {dsbulk-migrator} or {cstar-data-migrator}.
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** It's recommended that you start with at least one VM with 16 vCPUs and 64GB RAM and a minimum of 200GB storage. Depending on the total amount of data that is planned for migration, more than one VM may be needed.
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** Requirements:
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*** Ubuntu Linux 20.04 or 22.04, RedHat Family Linux 7 or newer
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*** Ubuntu Linux 20.04 or 22.04, Red Hat Family Linux 7 or newer
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*** 16 vCPUs
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*** 64GB RAM
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*** 200GB - 2TB storage (if you use dsbulk-migrator to unload multiple terabytes of data from origin, then load into target, you may need to consider more space to accommodate the data that needs to be staged)

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