<img height="1" width="1" style="display:none" src="https://www.facebook.com/tr?id=521127644762074&amp;ev=PageView&amp;noscript=1">

Fairwinds Introduces GoNoGo to Help DevOps Teams Validate Kubernetes Add-Ons Prior to Deployment

New OSS tool ensures add-ons can be safely upgraded

Boston, MA – Fairwinds, the leading provider of Kubernetes governance software, today announced Fairwinds GoNoGo, software that can be used to define and then discover if an add-on that was installed with Helm is safe to upgrade. Managing Kubernetes add-ons is a complex and burdensome task for many operations teams, requiring them to understand the impact of the add-on to the cluster in advance of its deployment. Fairwinds GoNoGo automates the process, easing the burden on operations teams that are already under immense workloads.

Most add-on upgrades are harmless, but operations teams can only gain insight about their risk through a combination of testing, reading release notes and understanding the current state of their clusters. Fairwinds GoNoGo incorporates automated checks, as well as information gathered about a specific upgrade path, and combines it in a way that the company’s governance and security software, Fairwinds Insights, can consume and show the relevant information. 

“Since add-ons are cluster-wide, they can have far-reaching consequences. It’s important that we do what we can to remove the guessing game behind add-ons and get a clearer picture of their impact in advance of deploying them,” said Andy Suderman, CTO  at Fairwinds. “The GoNoGo bundle works to solve this problem by providing a standardized way to automate information in a cluster-agnostic way so operations teams can make go/no-go decisions on add-on upgrades quickly and easily."

Fairwinds is committed to creating open source software that empowers the community and its clients to build a Kubernetes architecture that works for their business. The company has 10 open source offerings, including the popular Polaris, Goldilocks and Pluto tools.  Users working across a fleet of clusters, collaborating across teams or tracking findings across time are strong candidates for upgrading to Fairwinds Insights.