Overall Satisfaction with Kibana
Kibana is the front-end to Elasticsearch. Together they offer a "Google-like" interface for all logs produced by applications, allowing to quickly investigate potential issues and access audit logs. Search is happening in near-real time, which makes the information presented relevant. It offers various filters, as required to quickly churn through the vast amount of logs that a production application may produce. We generally use Kibana/Elasticsearch only for recent logs (e.g., retention period of 30 days) and distribute logs simultaneously to a longer-term storage solution, such as Azure Storage or AWS S3.
- searching
- near real-time
- slow
- difficult to operate
- reduces downtime
- increases developer velocity
Stackdriver and CloudWatch are not as intuitive and easy-to-use as Kibana, and do not offer such advanced filtering capabilities.
Google BigQuery is not really suitable for real-time searches.
All-in-all, we used all three of these solutions as a complement to Kibana, either to improve the reliability of the logging infrastructure or for cold storage of logs.
Google BigQuery is not really suitable for real-time searches.
All-in-all, we used all three of these solutions as a complement to Kibana, either to improve the reliability of the logging infrastructure or for cold storage of logs.
Do you think Kibana delivers good value for the price?
Yes
Are you happy with Kibana's feature set?
Yes
Did Kibana live up to sales and marketing promises?
Yes
Did implementation of Kibana go as expected?
No
Would you buy Kibana again?
Yes