Kibana vs. New Relic

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

New - relic is well suited if you want to analyse the performance of your services and you want to improve it. Integration with multiple services with same account gives a clear picture of flow of your APIs if you have micro-service architecture. New-relic is less appropriate when you want to do logging of your system. As it does not emits every single calls

Incentivized

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

Incentivized

• gives us an monitoring of all our underlying servers and also we can configure some alerts upon them like CPU and memory alerts.
• Kubernetes cluster monitoring with new relic for EKS gives us and minute details of our cluster utilisation like node usage, pods memory request and limits
• Network traceability for each and every request with response time analysis is great we can trace which component is responsible for generating response delay
• log managements of the logs the infrastructure is generating we can view logs through there only

Incentivized

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

Incentivized

• I would like to see sort of simulator inside the user interface, that way we can send requests directly from it to test some configuration instead of setting up a test environment in our end.
• It would be nice if the data ingestion can be filtered by APM's. That way we can know which application is ingested most data.
• It would be nice if we could ingest logs (apache, system logs, and other logs) and correlate them with the APM.

Incentivized

The only issue that we have had with New Relic is that the price might be a little expensive for smaller companies. The amount of data you store in New Relic impacts the cost, and can get away from you if you don't work closely with the vendor. Overall though the application is top notch.

Incentivized

As an engineer, New Relic has been very quick and easy for me to pick up/install/use. It has been less easy for some of the less technical-minded folks in our organization and their UI still is inconsistent multiple years after refactoring their platform to be New Relic One.

Incentivized

Never observed an outage

Incentivized

there are times where browser cache will cause issues that require you to clear your browser before continuing.

Incentivized

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

Incentivized

There are times I feel that the initial support is lacking. And in some cases the automated responses of not hearing anything are annoying if the reason why there has been no movement is because we are still waiting to hear back from NR support. So, i think they should loose the automation as it can seem disingenuous

Incentivized

It's better to start by implementing New Relic in one project and test everything. Try to follow best recommended practices and read all the official documentation. Everything seems well tested. Then, start by installing agents to the rest of your projects and keep a close look to all logs and metrics New Relic gives you.

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

New Relic is the most full-featured offering that we've found, and is incredibly easy to start using with a PHP app. The New Relic agent is installed as a PHP extension so it is able to monitor and track the performance of any PHP app being run by the web server. Other tools required the installation and setup of a PHP dependency at the application level.

Incentivized

Agent deployment is easily integrated into our workflow. Adding the agent to new servers is quick and painless

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

• Less time debugging issues or letting issues go unknown
• We know of issues before our customers
• One common tool for logs, apm, infrastructure, and most alerting. Makes for easier developer experience.
• Cost is expensive and is one of highest engineering spends

Incentivized