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Our main use case for Datadog is that we heavily rely on it for our infrastructure monitoring and application monitoring, including some of the browser-based application monitoring, which is RUM.

A specific example of how we use Datadog for monitoring is that we monitor our infrastructure CPU and memory utilization. Sometimes we see slowness and figure out CPU utilization was near the threshold, around 90-95%, which helped us to resolve the issue, underlying SQL problem, and that helped us to troubleshoot the issue.

In addition to our main use case, we also use RUM monitoring and synthetic monitoring, which really help us to look at our end-user sessions and proactively solve any slowness or errors spiking up.

The best feature that Datadog offers is infrastructure monitoring, where it can look at the CPU utilization, different process utilization, all the processes which are running, and alert us in advance if things are going beyond normal threshold.

I think everything about the features of Datadog is amazing. Datadog provides details up to the transactions. We can look at the transaction log too for the application, which is really helpful.

Datadog has impacted our organization positively since we were previously using AppDynamics and then we switched to Datadog. It has improved a lot in our alerting and monitoring in the infrastructure space and application space. We can monitor business transactions and take proactive action. It is really great to take actions on the issues before an end user reports it, which is a great advantage for us.

The world is moving toward artificial intelligence, so maybe we can have an inbuilt AI agent within Datadog, or maybe it exists and I have not used it.

The AI aspect would be great where we would not need to go and look at different transactions or different modules of Datadog, as AI can actually provide the data to us on Datadog UI. If we need more details, it could have a link to go to that specific module to look at more details for the application and infrastructure monitoring and alerts.

I have been using Datadog for three years now.

Datadog is stable for our organization, and we have not seen any downtime or issues so far.

Datadog's scalability has been great as it has been able to grow with our needs. As per our need, we are able to utilize different modules and there was never any need where we needed to scale anything else. We have limited our transition recording to 45 days, which helps. That is what our need is. It is really helpful and nothing additional is needed.

We reached out to Datadog only once to find out our AMI images, which we needed for our infrastructure as a code component, and it was a great experience. We got the required information and that helped us.

Neutral

Before Datadog, we previously used OpsRamp and also AppDynamics, and both of the tools we retired and moved to Datadog due to our enterprise approach to consolidate overall monitoring to Datadog.

I gave Datadog a nine out of ten because it is amazing. All the features and functionalities are amazing. The ease of implementation was a bit difficult for us for the database servers where we have different kinds of databases. We needed different kinds of agents to be installed, and that was a bit tricky for us. I think it is not on Datadog but it is about our complex infrastructure where we have a different set of infrastructure in place, so that created a bit of trouble during the implementation.

Since using Datadog, we have seen a return on investment with a lot of savings around infrastructure monitoring, and also on the people needed to monitor overall application and infrastructure on both sides. Previously we had thirteen contractors doing the monitoring for us, which is now reduced to only five. That is a huge saving.

We did not evaluate other options before choosing Datadog, we went with Datadog directly.

My advice for others looking into using Datadog is to keep exploring the tool and utilize the different modules and the different functionalities of features Datadog offers. There are multiple features and functionalities available with the Datadog agents which are really helpful and powerful to troubleshoot, alert, and monitor both applications and infrastructure.

So far, all the features I have used in Datadog are amazing. It captures all the logging information which I have, and I can include the links of Datadog transactions on my Splunk logs. It is integrated with Splunk and other platforms, which is great.

On a scale of one to ten, I rate Datadog a nine.

Initially, I started using it for managing on-call schedules. As the tech stack developed, we began using it for service alerts and event routing, and then transitioned to operational views and dashboarding. It eventually became central to our alerting systems, where all monitoring tools would send information to PagerDuty, enabling event management and routing to whoever was on call.

The product used to be unique in getting the message to the right person to fix the job. It integrates with multiple applications and is highly customizable, with policies, escalation procedures, and an event routing tool that ensures contacting the right person. A significant advantage is that it includes a metrics overlay, which provides an overview of what is happening in the environment, and its scheduling capabilities are superior to other operations.

Everything can always be better. Operations are somewhat limited by their integration package. For example, integrating with Jira was problematic until they updated to a better plug-in. The ability to build customized modules would be advantageous, allowing organizations to define their own integration modules. It would be useful to have a way to define all configurations in code that is similar to how Terraform operates.

The solution has been 100% stable with no issues due to PagerDuty.

The product was highly scalable, with no limits on the number of applications or event routing rules. However, managing a large number of these became cumbersome, suggesting a need for a way to define everything in code.

The customer service was amazingly good. They helped us build our event routing.

Positive

The setup is very straightforward, allowing users to be up and running within minutes. Usually, one knowledgeable person is enough to manage it.

The solution was expensive, but if all its features were utilized, it was considered worth the cost. The tier-based pricing model was cumbersome, and there was a desire for a service-based catalog to better customize purchases.

I'd rate the solution ten out of ten.