"The price is very less expensive compared to the other solutions."
"The solution allows us to dig deep into data."
"For full stack observability, Elastic is the best tool compared with any other tool ."
"Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform."
"We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical."
"The solution is used across the entire investment banking division, covering environments such as electronic trading, algo-trading, fixed income, FX, etc. It monitors that environment and enables a bank to significantly reduce down time. Although hard to measure, since implementation, we have probably seen some increased stability because of it and we have definitely seen teams a lot more aware of their environment. Consequently, we can be more proactive in challenging and improving previously undetected weaknesses."
"The biggest benefit of Geneos is the fact that we can clearly see, if we have an alert, where that alert has come from. We can see the data around that alert and anything that might be relevant is also shown. We can very easily right-click and see why we've received that alert. That's the best part about it, that you've got all the data there with the alerting."
"It's also easy to implement. The implementation of Geneos is very easy and interesting. It's not complicated. It's very quick to implement. The installation is very easy. There are many topics about ITRS Geneos that explain more about the features of the function of Geneos."
"The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities."
"The auto-discovery isn't nearly as good. That's a big portion of it. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome."
"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low."
"One area where there is room for improvement is the log file. I would like to be able to do a pre-run on the log files. When you are testing log files for regular expressions, it would be good to be able to do a quick check up front on that side of things before you release that into production."
"Mobile phone integration is probably not as rich as it could be."
"There is a part of the rules for monitoring alerts. I want to understand more about how to choose the samples and the requirements for the rules. That is the part that I want to understand better and get better training for."
Earn 20 points
Elastic Observability is ranked 9th in Application Performance Management (APM) with 5 reviews while ITRS Geneos is ranked 12th in Application Performance Management (APM) with 3 reviews. Elastic Observability is rated 7.2, while ITRS Geneos is rated 8.6. The top reviewer of Elastic Observability writes "The best full stack observability compared to any other tool". On the other hand, the top reviewer of ITRS Geneos writes "You can easily pull data together onto a screen to show business flow". Elastic Observability is most compared with Dynatrace, AppDynamics, Datadog, New Relic Browser and Google Stackdriver, whereas ITRS Geneos is most compared with Splunk, AppDynamics, Dynatrace, Zabbix and ServiceNow IT Operations Management. See our Elastic Observability vs. ITRS Geneos report.
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