Grafana Loki vs. Kibana

In our application there are many points from where logs are coming so in order to go to each and every application and check logs its very overhead so we are using Grafana Loki for the logs gathering and monitoring.

Incentivized

Kibana integrates seamlessly with Elastic Search which gives us access to parse and analyze data generated from our systems in order to make decisions. Also, Kibana helps us create insightful reports and dashboards that give us insights into the end-users usage on the system and helps us find the root cause of issues as well.

Incentivized

• Access to many open-source dashboards, access to add many data-sources to gather and visualize data from.
• Grafana Loki does well gathering of logs from various data-sources, we can also filter the logs based on our needs.
• One stop solution for all the logs and monitoring.

Incentivized

• Fast searches with powerful index.
• Beautiful data visualizations.
• Real-time observability.

Incentivized

• We can modify the logs directly from UI of Grafana Loki
• Better and simplified options for logs filtering
• Easy usability with SMTP configuration and other system level configuration

Incentivized

• Some performance issues with large datasets.
• Linking to dashboards makes extremely long urls.
• Lack of reports.

Incentivized

We did not use the official Kibana support. Documentation was easy enough to follow.

Incentivized

First and foremost if Grafana Loki is based on CNCF open source projects so organizations can get freedom to choice to configure it at your own other main thing is Grafana Loki is totally free of cost and we can deploy it on our infrastructure. On compared with other managed services like Datadog, New Relic it is very expensive and we also don't have much control on the tools we use.

Incentivized

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.

Incentivized

• Only indexes the metadata
• Have to manage it by ourselves compare to other available managed monitoring and log observability solutions
• Dedicated person or team of SRE to manage the monitoring and observability solutions

Incentivized

• Issues that affect checkout experiences for customers are able to be prioritized and solved quickly.
• We are able to more efficiently use resources due to the automation of reporting alerts. Decreasing employee resources needed.
• Visualization allows us to quickly share issues and explain to coworkers in order to escalate issues that can cost our bottom line.

Incentivized