Deployment profile overview

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Important!

Linux and Kubernetes knowledge is required regardless of the deployment profile you choose. If you encounter issues installing and configuring Automation Suite, contact UiPath Professional Services.

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Before choosing your deployment profile, see Supported use cases for single-node and multi-node installations.

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The installation process generates self-signed certificates on your behalf. These certificates will expire in 90 days, and you must replace them with certificates signed by a trusted Certificate Authority (CA) as soon as installation completes. If you do not update the certificates, the installation will stop working after 90 days.
For instructions, see Managing certificates.

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The multi-node HA-ready production profile is resilient to only one node failure. This means that you can lose only one server node. This restriction does not apply to agent nodes. You can lose as many agent nodes and still continue to use the cluster without downtime as long as enough overall cluster capacity is available.
You can increase the server node tolerance to failure by following the instructions in Advanced installation experience.

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Federal Information Processing Standard (FIPS) is not compatible with Automation Suite. If FIPs is enabled at any point on the servers running Automation Suite, the cluster will fail. If FIPs is enabled on any cluster server, the installer will encounter issues blocking the installation.

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Important!

You need root permission to install and deploy Automation Suite.
For more on the specific components that require root access, see Root privileges requirement.

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Having scan agents running on your system may cause installation or runtime failures, due to the changes they make to the IPTables. To avoid this behavior, configure your scan agent so that it does not interfere with the Automation Suite installation.

 

Hardware requirements

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Complete product selection

If you opt for the multi-node HA-ready production profile, you must meet the following hard requirements for the Complete product selection. If you want to check the hardware requirements for individual products, see Capacity planning.

General requirements

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It is recommended to bring external objectstore whenever possible. This helps in scaling the objectstore independently of the cluster, and brings additional stability. We support the following objectstore options:

• Azure storage account
• AWS S3 storage bucket
• S3 compatible storage bucket

Additional Task Mining requirements

Task Mining requires an additional agent node that must meet the following requirements:

 

Additional Automation Suite Robots requirements

In multi-node HA-ready production environments, Automation Suite Robots require an additional agent node.

The hardware requirements for the Automation Suite Robots node depend on the way you plan to use your resources. In addition to the additional agent node requirements, you also need a minimum of 10 GB to enable package caching.

The following sections describe the factors that impact the amount of hardware the Automation Suite Robots node requires.

Robot size

The following table describes the required CPU, memory, and storage for all robot sizes.

Agent node size

The resources of the Automation Suite Robots agent node have an impact on the number of jobs that can be run concurrently. The reason is that the number of CPU cores and the amount of RAM capacity are divided by the CPU/memory requirements of the job.

For example, a node with 16 CPUs and 32 GB of RAM would be able to run any of the following:

• 32 Small jobs
• 16 Standard jobs
• 8 Medium jobs
• 2 Large jobs

Job sizes can be mixed, so at any given moment, the same node could run a combination of jobs, such as the following:

• 10 Small jobs (consuming 5 CPUs and 10 GB of memory)
• 4 Standard jobs (consuming 4 CPUs and 8 GB of memory)
• 3 Medium jobs (consuming 6 CPUs and 12 GB of memory)

Kubernetes resource consumption

Given that the node is part of a Kubernetes cluster, the Kubernetes agent present on the server (kubelet) consumes a small amount of resources. Based on our measurements, the kubelet consumes the following resources:

• 0.6 CPU
• 0.4 GB RAM

A node similar to the one previously described would actually have approximately 15.4 CPUs and 31.6 GB of RAM.

 

Additional Document Understanding recommendations

For increased performance, you can install Document Understanding on an additional agent node with GPU support. Note, however, that Document Understanding is fully functional without the GPU node. Actually, Document Understanding uses CPU VMs for all its classification and extraction tasks, while for OCR we strongly recommend the usage of a GPU VM. Here you can find more information about the CPU/GPU usage within the Document Understanding framework.

If you want to use an additional node with GPU support, you must meet the following requirements:

For more details, see AI Center considerations.

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Optimal node size

Larger node sizes are more efficient than smaller node sizes because of the fixed baseline resource overhead per node. For example, 3 x 32 cores nodes is more efficient than 6 x 16 cores nodes.

 

Individual products

This section lists the minimum hardware requirements for a successful Automation Suite deployment. The minimum hardware requirements for your deployment are the sum of the requirements for the shared suite capabilities and the individual products you install.

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Aside from meeting the minimum hardware requirements listed in this section, it is highly recommended to have a 20% buffer.

The following table lists the requirements for the shared suite capabilities:

The following table lists the requirements for individual products:

¹ For large robot deployments, you need to increase your Orchestrator HPA capacity. For an over 100.000-robot deployment, we recommend at least 20 pods.

 

RPM package requirements

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Before starting the Automation Suite manual installation, you must ensure you meet the following requirements:

• you have a RHEL subscription;
• you enabled the BaseOS and AppStream repositories;
• you installed the required RPM packages (you are responsible for installing the required RPM packages).

If you upgrade from a previous Automation Suite version, you have already installed the RPM packages.

The following table lists the required RPM packages:

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RHEL 8.3 includes Podman 1.6 by default, which may cause installation issues. To prevent this, update Podman to version 3.2.3.
RHEL 8.4 and later have the required RPM packages in the BaseOS and AppStream repositories by default.

For details on how to install the required RPM packages, see Configuring the machines.

 

Microsoft SQL Server general requirements

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The installation requires an external SQL server as a prerequisite.

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Note:

Make sure that the SQL server can be accessed from each cluster VM.

Microsoft SQL Server 2016, 2017, and 2019 Standard and Enterprise editions are supported.

The minimum hardware requirements for Microsoft SQL Server are:

• 8 (v-)CPU
• 32 GiB RAM
• 256 GiB SSD