Datadog Pros and Cons

Having a wealth of information has helped us investigate outages, and having historical data helps us tune our system.

Having a clear view, not only of our infrastructure but our apps and services as well, has brought a great added value to our customers.

The most valuable feature is the dashboards that are provided out of the box, as well as ones we were able to configure.

Datadog's ability to group and visualize the servers and the data makes it relatively easy for the root cause analysis.

The fact that everything is under a single pane of glass is really valuable, as developers don't have to spend their time copying correlation IDs across tools to find what they need.

Straightforward to integrate and automate.

This is definitely a good product and I would consider them one of the leaders within the application monitoring and cloud monitoring space.

The most valuable features are logging, the extensive set of integrations, and easy jumpstart.

Datadog has a lot of documentation, but a lot of that documentation assumes you know how the service works, which can lead to confusion.

The pricing model could be simplified as it feels a bit outdated, especially when you look at the billing model of compute instances vs the containers instances.

More pre-configured "Monitor Alerts" would be helpful.

Datadog lacks a deeper application-level insight. Their competitors had eclipsed them in offering ET functionality that was important to us. That's why we stopped using it and switched to New Relic. Datadog's price is also high.

The incident management beta looks promising, but it is still missing the ability to automatically create incidents based on certain alerts.

Could be a little more user friendly.

The error traceability is an area that can be improved.

Additional metrics should be included.

In the past two years, there have been a couple of outages.