Datadog vs. Percepio Tracealyzer

Datadog works really well with complex microservices architecture like any E-commerce platform which will be having multiple services but they all are interdependent to others so in this scenario Datadog will be best to monitor these as it will show the transactions also between those microservices. If you are using multiple services in your architecture whether it will be cloud services or on prem services Datadog will be the best choice to monitor all those service with in Datadog so that you can see everything in a single place. But if you are having small architecture and few services in that then in that scenario you can use Datadog but it will be little costly as compared to other but obviously the features are very well.

Incentivized

This is a perfect tool to debug complex bugs in your system, especially in regards to inter-task communication. It is also a great tool for beginners, as the documentation is accessible and the support given by the company is excellent

• Create Dashboards as per application, environments, and Custom metrics in one panel.
• Log aggregation, one-stop Application monitoring tools for the whole infrastructure.
• Playbooks, SLA definition, success and error quotas, request visualizations.
• DB monitoring, Serverless stack monitoring.
• Alerting of Production incidents so we can quickly resolve the issues on time.

Incentivized

• Great visualization
• Sometimes awkward views (vertical vs horizontal)

• Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
• I would appreciate more supportive examples for how to filter and view metrics in the explorer
• I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame

Incentivized

• It's not always easy to include/integrate Tracealyzer in the OS build. It would be nice to have a simple install/plug n play method for our target.
• Sometimes, the .bin files from Tracealyzer don't always work and we don't know why

There is some room for improvement, but the Datadog team sends out updates frequently, and the UI is user-friendly for engineers, with no significant loading issues or region-specific problems. That was one of the key reasons we preferred Datadog; our company has employees worldwide, and it wasn't difficult to transition to the tool.

Incentivized

The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.

Incentivized

We are still trying other products, but people still like Datadog. After setting up a dashboard, it's great for monitoring instances on Datadog. Also, the DevOps team had a good time setting up Datadog. It means Datadog was way easier to set up compared to those others.

Incentivized

While we started using uCOSIII for our simpler microcontroller products, we also use QNX on more complex targets (full microprocessors) and it is a much more complex platform offering event tracing, memory tracing, and performance measures that are extremely good and integrated. More importantly these tools are fully integrated without any code changes. Tracealyzer is not integrated as much into uCOSIII like QNX's tools, debugger, etc. But, going thru the manual work of adding Tracealyzer to the build, it did help us get to a shippable product.

• Saved us (time & money) from developing our own monitoring utilities that would pale in comparison
• Alerts allow us to remedy issues before our customers even know about them
• Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point.

Incentivized

• Positive: We were able to find some thread priority issues with Tracealyzer.
• Positive: we were able to see timing of events in the sw/hw that we couldn't otherwise see.