Watch and monitor clustered applications easily
April 13, 2018

Watch and monitor clustered applications easily

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with Datadog

It's being used by all engineers. We have scaled our e-commerce, and Datadog makes easier to look at each cluster. One great point of Datadog is how easy it is to identify an unhealthy box. Also, another great one, is to watch important metrics like CPU and memory. It's way easier to watch it on Datadog rather than AWS itself.
  • Monitoring unhealthy box instances
  • Watch CPU usage
  • Watch Memory Usage
  • Monitoring logging issue. To do that, we need other kinds of tool, such as Splunk.
  • It takes a time to create a dashboard from scratch. It's easy to set up by a senior user, but it is not for beginners.
  • Aggregate info in a way to make quick decisions
  • It makes it easier to watch important metrics from each instance
  • New Relic and App Dynamic
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.
It's well suited for any scaled application. During peak time, we can scale up our application, and start watching it via DataDog. Doing so, DataDog provides us a hand dashboard to watch (un)healthy box instances. Last time, it pointed some instances that had a severity memory leak. By identifying those instances, it makes easier to replace that unhealthy instance quickly.