Kiali Operator Ratings (September 2025)
This page breaks down Kiali Operator ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand Kiali Operator’s overall reputation. This data-driven overview will show you exactly how Kiali Operator is rated - including how it compares to competitors.
Kiali Operator's Overall Rating Summary
- Average Rating:4.5/5
- Total Reviews:1 reviews
- Sources:G2
- Last updated:September 1, 2025
Kiali Operator Ratings by Source
Platform | Rating | Reviews | Last Update |
---|---|---|---|
![]() | 4.5/5 | 1+ reviews | 01.09.25 |
What is Kiali Operator?
Kiali is a console for Istio service mesh that allows users to configure, visualize, validate, and troubleshoot their mesh. Key features include topology visualization, health monitoring, detailed logs and metrics examination, Jaeger Distributed Tracing, advanced misconfiguration detection, Istio routing configuration wizards, and the ability to see and edit Istio custom resource YAML. Kiali can be quickly installed as an Istio add-on or integrated into a production environment.
🤔 Kiali Operator vs Competitors: How Do Ratings Compare?
Check out Kiali Operator AlternativesFrequently Asked Questions
How trustworthy is Kiali Operator?
According to G2 review site Kiali Operator holds rating of 4.5/5, indicating that users consistently find value and reliability in the platform as of September 2025.
How many stars is Kiali Operator rated?
Kiali Operator has an average star rating of 4.5 out of 5 stars based on average of 1 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from Kiali Operator public reviews pages on platforms: G2. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for Kiali Operator is calculated?
The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.