EDB Postgres AI Cloud Service

The EDB Postgres® AI Cloud Service is a holistic platform which includes hybrid data estate management, observability, analytics, and AI capabilities.

Overview

The EDB Postgres AI Cloud Service itself is a fully managed cloud service that provides a high-performance, scalable, and secure database platform for analytics and AI workloads. It also provides the platform for EDB Postgres AI Analytics and EDB Postgres AIDB services.

Cloud Service builds on the EDB Postgres Advanced Server and EDB Postgres Extended databases and it's designed to help organizations accelerate the development and deployment of AI and analytics applications.

Databases in the EDB Postgres AI Cloud Service is managed by EDB on your own cloud on your behalf.

EDB Postgres AI Cloud Service, Console, and Estate

You get full visibility of the databases from the EDB Postgres AI Console, which is a web-based interface that provides a single pane of glass for managing your databases, monitoring performance, and accessing logs and metrics.

The Console view isn't limited to managed or hosted database deployments. You can also deploy the databases yourself in your own cloud or on-premises, but still have them visible in your EDB Postgres AI Console as part of your Estate using the Beacon Agent.

Getting started

High-level description of the tasks needed to get started with EDB Postgres AI Cloud Service.

Using your cluster

Understand how to connect, edit, scale, monitor, and tag clusters through EDB Postgres AI Cloud Service.

Using the API

How to use Cloud Service API to integrate directly with Cloud Service for management activities.

Managing your cluster

Describes the management tasks for your cluster on the Cloud Service.

Security

Security, compliance and responsibility on EDB Postgres AI.

Supported configurations

A reference for all supported configurations of clusters on EDB Postgres AI Cloud Service.

Release notes

Provides monthly release notes for Cloud Service

Known issues

Provides the list of Known issues and limitations in the current release of Cloud Service.

Support services

How to create a support case in the support portal of Cloud Service.


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