"The solution has made it easier for us to trace the problems that we have with our requests and to monitor the timing of each step in each request we do in our endpoints."
"The most valuable feature is that it's stable. It hasn't crossed any thresholds."
"The solution works well overall. It's easy to implement and simple to use."
"Provides an overview and high-level information."
"Azure Monitor is really just a source for Dynatrace. It's just collecting data and monitoring the environment and the infrastructure. It is fairly good at that."
"Good load and metrics gathering and very good analysis."
"We like this searchability and availability of the data."
"The solution is quite stable."
"The most valuable feature is that it ensures our servers are up."
"The user interface is sometimes kind of confusing to understand. It's not very user-friendly."
"The price could be lower but it is not a must."
"I'd like the solution to do more around vulnerability assessment. It's lacking in the product right now."
"When something goes down, we want the option to have automation in place to get it back up again as quickly as possible."
"Automation related to gathering metrics from more applications could be improved."
"The troubleshooting logs need improvement. There should be some improvement there. I have a hard time finding the right logs at the right times whenever there is an issue occurring."
"There are a lot of things that take more time to do, such as charting, alerting, and correlation of data, and things like that. Azure Monitor doesn't tell you why something happened. It just tells you that it happened. It should also have some type of AI. Environments and applications are becoming more and more complex every day with hundreds or thousands of microservices. Therefore, having to do a lot of the stuff manually takes a lot of time, and on top of that, troubleshooting issues takes a lot of time. The traditional method of troubleshooting doesn't really work for or apply to this environment we're in. So, having an AI-based system and the ability to automate deployments of your monitoring and configurations makes it much easier."
"In my opinion, they should improve the overall user experience, especially when it comes to indexing and searching collective logs."
"Lacks information including details related to where problems lie."
AWS X-Ray helps developers analyze and debug production, distributed applications, such as those built using a microservices architecture. With X-Ray, you can understand how your application and its underlying services are performing to identify and troubleshoot the root cause of performance issues and errors. X-Ray provides an end-to-end view of requests as they travel through your application, and shows a map of your application’s underlying components. You can use X-Ray to analyze both applications in development and in production, from simple three-tier applications to complex microservices applications consisting of thousands of services.
Azure Monitor maximizes the availability and performance of your applications by delivering a comprehensive solution for collecting, analyzing, and acting on telemetry from your cloud and on-premises environments. It helps you understand how your applications are performing and proactively identifies issues affecting them and the resources they depend on.
AWS X-Ray is ranked 28th in Application Performance Management (APM) with 1 review while Azure Monitor is ranked 8th in Application Performance Management (APM) with 9 reviews. AWS X-Ray is rated 7.0, while Azure Monitor is rated 7.2. The top reviewer of AWS X-Ray writes "Scalable and good for tracing problems, but hard to configure". On the other hand, the top reviewer of Azure Monitor writes "Requires out of the box monitoring, real-time monitoring, and better network mapping". AWS X-Ray is most compared with New Relic APM, Google Stackdriver, Elastic APM, Datadog and Dynatrace, whereas Azure Monitor is most compared with Datadog, Splunk, Dynatrace, New Relic APM and Elastic APM.
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