Digital Rebar v4.17 Release
August 28, 2026
Digital Rebar v4.17 delivers Multi-Site Manager and EIKON image deployment improvements, resilient pipelines, and a new role, and more.
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Discover the Events That Matter with Event Router in Digital Rebar v4.16
May 29, 2026
Learn about the Event Router to filter events into useful information streams, great for debugging, compliance, and more.
Digital Rebar v4.16 Release Notes
February 18, 2026
Digital Rebar v4.16 brings advancements in performance, scalability, flexibility, and deployment.
What’s New in Digital Rebar v4.15
July 30, 2025
The release of Digital Rebar v4.15 focuses on strengthening enterprise capabilities in core infrastructure automation areas: platform control, lifecycle management, secure networking, and support for
Streamline and secure IT Operations with Digital Rebar v4.14
December 23, 2024
Welcome to the latest advancements in Digital Rebar v4.14. This is a big update with essential security enhancements, previews of both our new image deployment
Oops! Secure Boot isn’t just about booting?
August 28, 2024
Secure Boot is often seen as a one-and-done infrastructure security measure—turn it on, and you’re good to go. Oops… Recent UEFI key exposures and incomplete
Triggering Work Orders to Audit Systems
January 25, 2024
Author: Greg Althaus Level: Intro Time: 5 minutes As a technical operations leader, you’re developing your latest system audit script. You need to run it
Why Zero Touch Infrastructure is a Game Changer for Enterprise IT
January 12, 2024
In the rapidly evolving digital landscape, the ability to deploy and manage server infrastructure efficiently is more than just a convenience—it’s a competitive necessity. Zero
Solving the distributed infrastructure management dilemma
November 3, 2023
With the advent of distributed infrastructure systems such as cloud computing and edge computing, the management of applications, services, and data has become a major
Can RackN use LLMs to improve customer experience?
September 26, 2023
I’m Avneet, a RackN AI/ML Intern, and I have been developing AI integrations within RackN’s systems. I was asked to explore how RackN could best