Datadog Reviews

I'm a senior cloud security engineer and we are customers of Datadog. 

In terms of the public cloud provider integration of AWS, I would say it's very easy and straightforward to integrate. We can automate that way as well, because it also provides the cloud formation template and is a way to have a central place to monitor and visualize metrics in a multi-account structure. It's something we really need because the company has many AWS accounts. Rather than jumping from one account to another, Datadog gives us the functionality of having everything on one platform, in one place.

I believe there is room for improvement with this solution. It wasn't easy for me to get a quick understanding of what this tool offers us as opposed to the added tools of AWS. By that, I mean in regards to finding a better way to apply some filters or to create some alarms. I don't get more advanced features in comparison to AWS but at least I get a centralized way of doing things, which can be done on the AWS side as well. It's more complicated because you have to configure some other services to stream their logs from multi accounts to one account. It could be more user friendly and include advanced examples in the documentation showing some use cases or customer case studies, so you can get a clear idea that this functionality provides something extra. 

I've been using this solution for about a month. 

This is a stable solution. 

It's an SaaS solution, so it should be scalable although I don't know the architecture of it.

We have support from a technical engineer during the POC, which is still ongoing. It's amazing. Their customization and support during the POC include weekly meetings, with a follow up of any issues through email and Slack. 

The initial setup in regards to integration with AWS was very simple.

I would recommend this solution even though I don't have much experience with it yet. The company is currently using New Relic and we are now investigating Datadog for two reasons; the cost and also the integration with microservices and Kubernetes. I feel like this is a good solution. 

There is some room for improvement, so I would rate this solution an eight out of 10. 

We use it for notifications, alerting, and capturing most of the information from Amazon, such as EC2 instances.

It has enhanced the performance of my team.

The product could do better with its notifications. 

I want more technical support than conferences because technical support helps with setting up the product much easier.

So far, it has been pretty stable. After we stand up and configure it, it works well.

We have managed to get up to 350 hosts in one of the clusters, and it works fine.

Datadog's support is pretty good.

The integration and configuration of the product in our AWS environment was easy. This was one of the many things that I liked about Datadog.

I have not seen ROI out.

We chose Datadog over the other products that we evaluated because it had better features: notifications, alerting, and metric capture. Also, Datadog had the skill sets that we wanted at the time.

Try out some of the other products in comparison. This is a good product if you are looking for notifications and custom metrics.

We have always used the cloud version of this product.

This product also integrates with Slack and PagerDuty.

We primarily use the solution for monitoring applications and informing customers via Pagerduty and Statuspage. The monitoring and alerts can be personalized internally, and we are able to find problems and issues. The response time monitor has been great, and it has been validating upgrades. We can check in to see which step fails,

Previously, we had monitors scattered with different places and products, making troubleshooting harder and slower. Also, logs and monitors were on different platforms, making it harder to put the infrastructure puzzle together.

Datadog documentation on web pages has improved a lot and is pretty easy to follow and find.

Additionally, integrations with, for example, GCP, Network, component, and Software providers are much easier as everything is now centralized.

API and notification integrations are also a great benefit for our organization.

Datadog is listening actively for customer feedback and develops improvements for us effectively.

The most valuable features of the solution include the APM, log monitor, SQL monitors, network monitors, and integrations.

Alerting timing should be improved to be more fine-tuned and exact. The current problem is that monitoring is integrated with the Statuspage and the SLA.

Also, browser support for browsers other than Chrome should be added. Browser test recording is another problem, as it does not always work in normal mode. One needs to use incognito mode or a pop-up.

I've been using the solution for three years.

We primarily use the solution for security monitoring and anomaly detection.

The Datadog suite has allowed us to easily integrate log collection into all of our services and quickly detect unexpected changes in system data to declare security incidents.

The dashboards are great. They allow for the visualization of log data over time to detect anomalous behavior.

The ease of implementation needs improvement. I did not personally experience the initial deployment of Datadog in our environment, however, after some conference workshops, some of the pain points with deployment and turning on certain settings or features were revealed. I would not know how to deal with these issues (or sometimes where to begin) if I were starting from scratch.

Datadog is very easy to deploy at scale when implemented early in the deployment process and if made a deployment requirement.

We did not previously use a different solution. 

I was not involved with the initial setup. 

The solution is deployed as a SaaS.

We are currently testing it. If the testing goes well, we'll purchase the full version, and it will probably be our main monitoring tool. We plan to use it for monitoring our activities and the attacks on our systems or network.

It is a cloud monitoring tool. I believe it would make things easier for our clients in terms of monitoring.

Its integration is most valuable because you can integrate it with various service providers such as AWS, .Net, etc.

I'm still exploring the trial version, and it is fine. One thing that I haven't been able to figure out is how to retrieve a report. This is something that could be improved. I probably need to navigate to a place to access the reports. 

We started using its trial version just last week.

We have not yet interacted with their technical support.

Currently, we're on EventTracker. We are doing research to see if we could get a better monitoring solution. That's why we are trying out Datadog. If we like it, we will buy the full version. We would also recommend it to our other clients.

It is easy to install, and it doesn't have any cumbersome procedures. Its deployment took a couple of hours.

I did it by myself.

We evaluated solutions from SolarWinds and IBM.

I would recommend this solution. I am still trying it out, and I haven't encountered any challenges so far. I would rate Datadog a seven out of ten.

I implement this solution for clients.

I have found some of the most valuable features to be the way things all come together that gives us a point of view that is useful. The panel is very beautiful and customizable. The configuration file was really helpful, we were able to configure the solution in the way we needed. The portability of this solution is more flexible than other competitors, allowing us to change cloud services when we want. We are not locked into a particular one.

The solution is scalable.

We have used CloudWatch previously and this solution is better at meeting all our needs.

The installation is easy for me. However, if you are new to this solution it might not be so easy.

I am an implementor, I did the implantation of the solution.

I rate Datadog a nine out of ten.

We use Datadog incident management for our incident tooling. Whenever we run into an incident, we try to use it. It allows us to create a separate Slack channel for it.

Keeping track of incidents makes it possible to share learnings and follow-up. It is also required for SOC2 compliance.

It is great that creating an incident is possible from Slack while having all the relevant data in Datadog. It allows us to not think too much about organizing incidents, which is a highly stressful situation.

I would like the tooling to have better integration in Slack, specifically sending out reminders to the relevant people to take breaks, do a retrospective, and specify with emojis which messages to log.

Learning about the tooling could also be improved. It is a bit clunky to use, especially in an incident. It could definitely be more streamlined.

I've used the solution for about a year.