Infrastructure requirements/pre-requisites — Unique AI Documentation

Infrastructure requirements/pre-requisites

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If clients opt for self-hosted options, either Customer-Managed Tenant or On Premise Tenant, they (potentially with Uniques Advisory at a rate) must equally provide all necessary pieces in order to satisfy the setup and run requirements.

You can learn about them in the respective models details linked above.

Note that this page gives a high-level overview. For Customer Managed Tenant clients can use the Phase 1: Prerequisites for Azure or Phase 1: Prerequisites for AWS to further cross-check their tenant for the arrival of Unique.

1. Providing a tenant

It does not matter what deployment model is chosen, a client has to provide a landscape that can provide user accounts (IAM, IDP, potentially Just-In-Time or Privileged Access Management).

The requirements are vastly different per client and per option (customer managed or on premise) and are always already regulated by the client internally. Unique can advice but most clients have this set in stone how it will work except if they started to adopt the cloud a week before where it would not be realistic to run Unique there within reasonable time (in that case, look in the direction of the Single Tenant).

Networking

From the inter-/intranet to Uniques deployment lead many ways. The planning and implementation as well as maintenance of the way is the clients responsibility. Unique has a https://unique-ch.atlassian.net/wiki/pages/createpage.action?spaceKey=PUBDOC&title=Security%20Architecture%20-%20On-premises%20Chat which uses an internet facing Application Gateway but if clients would like to wire Unique differently, they must do so on their own knowledge and expense if needed with advisory at a rate.

2. Hosting Unique / Dedicated resources

Clients must provide means to provision a set of resources needed to run Unique successfully. Depending on the use cases, more or less of these services are needed.

Brick Use Case
Container orchestrator1 - Our applications
Telemetry exported to the orchestrator2 - Alert First Level Support
Logging solution attached to the orchestrator - Retain application logs for 7-30 days
Secure Storage for Audit Logs as volumes attached to the orchestrator - Retain application audit logs for regulated time period
Postgres Server3 - Persisting application data
MongoDB3 - Persisting application data
Redis Cache(s)3 - Frontend Websockets
Speech Services
(mainly Azure Cognitive Services)
- Transcribe audio to text
LLMs3
(mainly Azure OpenAI)
- Reporting features
- Chat features
Ceph/S3 compatible storage3 - Video storage
- Knowledge features

- Power Automate SharePoint Connector and others
Azure AD Application Registration - Login with Teams

1 Unique currently only supports Kubernetes as orchestrator. Other orchestrators are available at a premium.

2 Unique currently only supports Prometheus as metrics export. Other solutions might be available at a premium.

3 These services can also be self-hosted on top of the orchestrator which is discouraged but possible. The client is responsible for these workloads.

3. Workload configurations and supporting services

Brick Use Case
Postgres Server1 - Persisting application data
MongoDB1 - Persisting application data
Redis Cache(s)1 - Frontend Websockets
LLMs1
(mainly Azure OpenAI)
- Reporting features
- Chat features
S3 compatible storage1 - Video storage
- Knowledge features

- Power Automate SharePoint Connector

1 These services are recommended to be provisioned outside of the orchestrator, see (2).

4. Unique workloads

The Unique workloads themselves have no requirements except all the services mentioned above, CPU and memory. Some require some disk space to locally ephemerally cache file or similar content.

Supporting tooling

Both Customer Managed Tenants as well as On Premise installations might not be able to leverage all internet facing tooling Unique provides.

You can get familiar with those in Upgrade and Release Process.

Some key bullets in that regard are:

Depending on a clients setup, further tooling is needed on site so either within their tenant/environment or also On Premise.

Tool Use Case Examples
Git or another VCS Store versioned Unique artefacts as code for audits, infrastructure as code, customisation and automation etc. GitHub (Cloud)
GitHub Enterprise
Azure DevOps
GitLab Enterprise
(CI/) but especially CD Automation Automation and Principals that apply code changes published by Unique GitHub Actions
Azure DevOps Agents
GitLab CI
Bitbucket Pipelines
Octopus
Or more futuristic:
FluxCD
ArgoCD
Container Registry Cache, scan, analyze container images delivered by Unique as part of the Upgrade and Release Process.
In order to mirror the images the Automation above can be reused.
Azure Container Registry
Harbor
DockerHub
Github Packages
Helm Chart Gallery Cache, validate helm charts delivered by Unique as part of the Upgrade and Release Process.
In order to mirror the charts the Automation above can be reused.
⚠ This must also be used to potentially cache public helm charts as Unique does not re-deliver open source components!
Azure Container Registry
Harbor
Chart Museum
Secrets Management When deploying and maintaining Unique (incl. via Helm Charts), secrets must be provided to the workloads. The Secrets Management is highly dependent on the Clients eco-system. External Secrets
Octopus
Sealed Secrets
Secrets Store CSI Driver