Kibana operations manager
We use Kibana to visualize automated error reports on our website. We are able to find potential consumer issues and investigate.
Overview
What is Kibana?
Kibana allows users to visualize Elasticsearch data and navigate the Elastic Stack so you can do anything from tracking query load to understanding the way requests flow through your apps.
Recent Reviews
Popular Features
- Customizable dashboards (5)9.090%
- Drill-down analysis (5)7.070%
Reviewer Pros & Cons
Pricing
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What is Kibana?
Kibana allows users to visualize Elasticsearch data and navigate the Elastic Stack so you can do anything from tracking query load to understanding the way requests flow through your apps.
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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Product Demos
Kibana - How to Create a Data Table Using the Visualize Tab
YouTube
Visualize logs in Kibana - ELK stack
YouTube
Kibana - How to Filter (example #1)
YouTube
Creating Drilldowns in Kibana
YouTube
Features
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Product Details
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- Tech Details
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What is Kibana?
Kibana Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
Frequently Asked Questions
Kibana allows users to visualize Elasticsearch data and navigate the Elastic Stack so you can do anything from tracking query load to understanding the way requests flow through your apps.
Reviewers rate Customizable dashboards and Report Formatting Templates highest, with a score of 9.
The most common users of Kibana are from Mid-sized Companies (51-1,000 employees).
Comparisons
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Reviews and Ratings
(68)Attribute Ratings
Reviews
(1-3 of 3)Companies can't remove reviews or game the system. Here's why
April 30, 2021
Non-Techies Data Visualization Tool!
We use Kibana in the R&D Department, we use it to get insights about Logs generated from our systems in different projects. Kibama has helped our department on many occasions where there was an issue on the Production Environment and we need to debug and get to the root cause as fast as we can to deploy a hotfix for our client. Also, it gave us many insights regarding the different end users' behaviors which in return helped us in achieving better quality.
- Dashboards
- Integration with Elastic Search.
- Search, Filters, Reports and Charts.
- Search queries is a bit complex.
- More out of the box dashboards and reports.
95%
9.5
96.66666666666666%
9.7
96.66666666666666%
9.7
95%
9.5
- Increased customer satisfaction
- Cost effective
- Time effective
Kibana has a better usability experience, the core features I was using existed in all of them. I liked more in Kibana how you can easily create dashboards, charts, and reports without the need to be a tech person.
April 26, 2021
The king of observability for many years running!
Kibana is a cornerstone of our observability strategy. We use it for all aspects of our operational workflows, from tailing log files in production to debug events in real-time, to creating beautiful and enlightening dashboards for surfacing key metrics for our leadership team. Kibana helps us both with tracking our "known knowns" and our "unknown unknowns" via its expressive and powerful filters and customizations.
- Fast searches with powerful index.
- Beautiful data visualizations.
- Real-time observability.
- Data ingestion can be slow if not properly architected.
- Operational workload is heavy to keep it finely tuned.
- Learning curve for initial install can be steep for a production environment.
100%
10.0
83.33333333333334%
8.3
65%
6.5
86%
8.6
- Improved understanding of production environment.
- Reduced downtime.
- More empowered developers who understand their systems in production.
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
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50%
5.0
100%
10.0
N/A
N/A
- 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.