Datadog Reviews: 4.3/5 — Solid Choice

Integrations are easy and user friendly, easy to learn and help documentation is available.

Syslog integration with 3rd party applications should be improved, especially the way API send to the application.

Added datadog to our relay server monitoring, checking CPU, Memory, and Storage utilization. SSH check

can filter each attribute easily so it's easy to find

nothing, all good, already good enough for my use

find log to troubleshoot issue

- application monitoring - infrastructure monitoring - container monitoring

- difficult for fresher to understand at first time - costly when we have to scale it

we are using datadog for complete infrastructure monitoring along with network monitoring, incident managements, alerts

It's easier to find bug detection of backend Logs monitoring also time stamps for all time zone

It would be good if we have some demo videos or tutorial it self in site for biggners from installation to set up and how to use

With this we can check bug detection. All data sorting could be done earlier way

Incident investigations with log anamoly detection

although everything in data dog is so modern and implemented with ease, the navigation to diff dashboard can be made easy

- infra monitoring - app monitoring - logs tracing - incidident handling

We like ease of navigation and logs tracing capabilities of datadog. Also ease of installation of agents.

Costly if need to scale and frequent updates

Application performance monitoring Infrastructure monitoring Alerting Pod level monitoring Logging

feature to gain infrastructure visibility, effortlessly integrate the Datadog agent with running docker containers, continuous profiling, analyze the traffic flow

customization support is a less, comparatively advanced APM tool.

As soon as an issue arises, Datadog will provide all the information to developers needed to fix it and avoid any further degradation of an application. Finally, the performance monitoring tool Datadog ensures that the end user's experience is the best it can be in the present condition of the system. Also, Root Cause Analysis(RCA) is easy with the Datadog.

- Integration with a lot of services - Providing detailed visibility into infrastructures

- Could provide more insights on serverless events

- Datadog is our primary solution for logging and monitoring applications and infrastructures in AWS Cloud, which provides a detailed report of everything - For our mobile applications, we also have made use of RUM and production issue tracing has never been easier

I have been using datadog for last more than one year. What I like about datadog is its features such as optimize performance and enhance communication between applications or different parts of infrastructure

There is nothing to dislike. But as a bigner I couldn't find enough documents to learn about it. But it was very easy to integrate with AWS using cloudformation.

Getting emails alerts whenever perticular threshold reaches of host. Monitor infrastructure, creating dashboards for monitoring, customisation according to need, High availability etc

Datadog can monitor distributed architectures. We can use it to optimize performance. I use Oracle SQL Developer with it What makes Datadog different? Datadog can monitor distributed architectures, hybrid environments, and microservices

The documentation for a few integrations is outdated and not always straightforward. By providing detailed documentation and a detailed description. In documentation and control document part

To determine performance metrics and event monitoring for infrastructure and cloud services. Yes, we are more productive. Yes, our company business has improved