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Case Studies

Berkshire Grey gains freedom and improves standardization at the edge

EdgeEdgeLocationEuropeRetailIndustrial AutomationLocationNorth AmericaRobotics

Berkshire Grey delivers advanced robotic automation systems that power logistics and fulfillment operations for some of the world’s largest retail, ecommerce, and logistics enterprises. Their robots are designed to pick, pack, and sort goods efficiently, using sophisticated machine vision and AI-powered automation. These systems operate across distributed customer sites and depend on scalable, secure edge computing environments to function reliably and with minimal human oversight.

Challenge

  • Time-intensive upgrades
  • Decentralized configuration

Environment

  • Edge clusters powering robotic orchestration
  • ML workloads
Impact

Impact

  • Faster upgrades
  • Simplified security audits
Question

Why Sidero and Omni

  • Secure, immutable OS
  • Declarative configuration management
  • Predictable upgrades and patching
Challenge

Consistency and speed

Prior to Talos Linux, the team at Berkshire Grey ran Kubernetes clusters on a mix of Flatcar and CoreOS. Achieving the expected node state depended on custom automation and scripts (e.g., Ansible). Every step had to be designed, maintained, and tested in-house, making upgrades coordination-heavy across many customer sites.

With limited centralized configuration control, manual SSH changes could accumulate, creating configuration divergence over time. Security questions–often hundreds of questions–were also time-consuming.

Solution

Declarative clusters with Talos Linux

“Talos handles a lot of that under the hood, and we can simply keep one configuration file and use JSON native patching. It really makes the process very streamlined and easy.”

Alexander Alves, DevOps Engineer, Berkshire Grey

Berkshire Grey found that the operating system’s clean design and focus on Kubernetes-native operations aligned perfectly with their needs. Talos Linux became the foundation for their bare-metal edge clusters, powering the robotic control systems and ML workloads.

Because Talos Linux clusters are defined declaratively through machine configuration files, upgrades are now done in place with simple configuration patches. This includes updates to the OS, Kubernetes version, and GPU drivers, all of which are handled in a single unified workflow. Additionally, the immutability of Talos Linux eliminates the risk of drift and makes it easier to audit and validate configurations.

Sidero Support further simplified work for Berkshire Grey, as the teams collaborate over Slack, ensuring any bugs are quickly fixed. As Brian McCarthy, VP Engineering, DevOps, and Infrastructure, says, “It gives us the confidence to stand behind deploying it to our customers.”

Results

Faster upgrades, smoother audits

The ability to deploy clusters quickly gave the internal hardware testing team the agility they needed. By physically rerouting the robot’s network connection to the new cluster, the team could begin testing in under two hours, shaving time off the validation process.

Security audits also became easier. Talos Linux enables frequent updates and limits drift, enabling the team to more easily demonstrate SOC 2 Type II compliance, reducing related manual work and enhancing customer trust.

More importantly, Talos Linux reinforced the team’s long-standing commitment to infrastructure as code, helping the company scale its robotic systems with precision and agility.

“Since deploying Talos, within six hours we can install a cluster and have it up and running.”

Brian McCarthy, VP Engineering, DevOps and Infrastructure, Berkshire Grey

 

Thanks for reading!

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