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kPow for Apache Kafka (Team)

Operatr IO, Inc | 88.5

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External reviews

2 reviews
from G2

External reviews are not included in the AWS star rating for the product.

    Financial Services

Swiss army knife for Kafka Custodianship

  • March 07, 2022
  • Review verified by G2

What do you like best?
A nifty UI for understanding our kafka clusters and topics without needing to resort to the command line. A tool ops and developers can both use alike.
The development team really engage their customers and build new features in colloboration with them. Quick to respond to feedback.
What do you dislike?
Nothing. We even put a halt on purchasing more expensive enterprise kafka tooling because we found kPow met our needs.
What problems are you solving with the product? What benefits have you realized?
Developers: Can easily see kafka topics and perform administration whilst they are developing new features
Ops: Can securely access our production cluster, and can make maintenance of topics and the cluster in general far easier.
Wider business: Letting users conduct UAT by placing messages onto topics with a friendly UI

The upcoming visualisations around kafka streams are really awesome and we look forward to adopting those when time.

    Alex H.

kPow is the missing link in our operations toolkit for supporting a Kafka powered system.

  • May 26, 2021
  • Review verified by G2

What do you like best?
Realtime data view & query language.
Topic & broker config inspect.
Consumer group monitoring including offset lag. (can also export their metrics via prometheus!)
The development team are active in the Kafka community and are extremely responsive to feedback on how kPow could be improved. We have benefited from several usbility enhancements & features that were initated on the back of our feedback.
What do you dislike?
A few minor stability issues (now resolved)
What problems are you solving with the product? What benefits have you realized?
kPow provides much-needed transparency across our Kafka event streams. I run a large production system comprised of 50+ micro services all of which have a dependency on Kafka. Events are used as triggers between services and to drive state sharing. Being able to search across and inspect the contents of our event streams has proved invaluable from a production support, debugging & verification perspective. Without kPow our operational abilities would be significantly compromised.

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