AN05 - Analytics Administration
ℹ️ This Automic Tutorial is part of the Automic Analytics learning path on PEM and was published on July 30, 2025.
📋 Content: 1 Video
🕒 Duration: 10 Minutes
Architecture and components of Automic Analytics
Automic Analytics consists of a PostgreSQL Datastore and a Java-based Backend that processes data and communicates with the Automation Engine and AWI. Thanks to standardized interfaces and flexible network architecture, you can seamlessly integrate the components into your environment.
Installation and configuration in just a few steps
First, you set up the Datastore with a setup script, then you install the Backend and configure the connection to the Datastore and the engine. Finally, you integrate the analytics plugin into AWI so you can use dashboards. Here, it's important to make sure users have the right access privileges and that the communication is secure.
Maintenance and practical tools
Broadcom provides an Action Pack with a few workflows that are very handy for database maintenance. They allow you to maintain an overview, automate backups, and securely remove old data, which is going to keep your analytics system well-performing and organized.Learn Automic with PEM!
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FAQ about Automic Training on PEM
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Operators are responsible for monitoring, executing, and managing workflows in Automic. In PEM, the Operator role covers topics like workflow execution, troubleshooting, and day-to-day operations to ensure smooth automation processes. - Designer:
Designers are the architects of workflows and automation solutions in Automic. The Designer role in PEM includes content on creating, optimizing, and maintaining workflows and objects, with a focus on best practices for efficiency and scalability. - Admin:
Admins handle system-level configurations, user management, security settings, and advanced maintenance tasks in Automic. PEM’s Admin role offers in-depth training on system setup, troubleshooting, and managing complex environments, including OS-level access through PEM Labs.
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