Fairwinds navigates straighter open course towards SaaS-y Kubernetes 

Cloud-native infrastructure company Fairwinds recently launched a SaaS product for DevOps teams so that they can manage multiple Kubernetes clusters.

The almost-eponymously named called Fairwinds Insights, uses an extensible architecture and has been launched with a curated set of open source security, reliability and auditing tools. 

The initial suite of tools includes Fairwinds Polaris, Fairwinds Goldilocks and Aqua Security’s Kube-hunter.

Fairwinds Insights claims to be able to solve a few common problems faced by DevOps teams. 

First, it eliminates the time-intensive process of researching, learning and deploying the Kubernetes auditing tools that are available. 

Second, it automatically organises and normalises data from each tool, so engineers get prioritised recommendations across all clusters. 

Finally, it enables DevOps teams to proactively manage the hand-off from development to production. 

NOTE: For the record, we can define normalised data as relational database data which has been through a process of structuring in accordance with a series of so-called normal forms in order to reduce data redundancy and improve data integrity. By other definitions, data normalization ensures all of your data looks and reads the same way across all records in any given database (although typically a relational one).