We use this solution to monitor our Kubernetes clusters, nodes, deployments, daemon sets, replica sets, and pods.
Senior Software Engineer at a tech vendor with 501-1,000 employees
Great logging and tracing features with good insights into performance
Pros and Cons
- "I have found the logging and tracing features the most valuable."
- "The documentation could be improved regarding setting up the agent properly and debugging."
What is our primary use case?
How has it helped my organization?
I've been using this solution for a few months at my current company as a member of the Kubernetes team we use Datadog to provide monitoring and telemetry for our team and our customers.
This solution has improved our organization by giving us deeper insight into what's running in our clusters and their performance of it.
What is most valuable?
I have found the logging and tracing features the most valuable.
What needs improvement?
The documentation could be improved regarding setting up the agent properly and debugging.
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November 2024
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For how long have I used the solution?
I've been using this solution for a few months at my current company.
Which deployment model are you using for this solution?
Private Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Programmer with 51-200 employees
The fact that its hosted so you don't have to rely on infrastructure to do the work is a very valuable feature.
What is most valuable?
The fact that its hosted so you don't have to rely on infrastructure to do the work is a very valuable feature.
How has it helped my organization?
At other places I've worked, we had to rely on different types of infrastructure -- Datadog does all that. Its very time saving. Datadog has alerting events and metrics all in one place; This was a huge plus, other solutions were trying to treat monitoring as a multi-faceted problem. Datadog treated it as one problem. Also, We no longer use Nagios for alerting, we use Datadog’s alarms, and then we push the data into PagerDuty.
What needs improvement?
The performance, especially when were drilling into metrics we've been running for a year and a half. When you're launching old data it can get slow.
For how long have I used the solution?
We have been using the solution for the last year and a half.
What was my experience with deployment of the solution?
No issues with deployment.
What do I think about the stability of the solution?
No serious issues with stability -- has been pretty great.
What do I think about the scalability of the solution?
We pushed them sometimes, meaning when we would do something their platform didn't support. But they were always very cooperative and proactive.
How are customer service and technical support?
Customer Service: Very good customer service.Technical Support: Hit or miss, always very proactive and friendly but could be faster sometimes. Almost always have the right answer, but sometimes could be a bit quicker.
Which solution did I use previously and why did I switch?
At this job I've only used Datadog. Past jobs I've used New Relic, and assortment of others.
How was the initial setup?
Very straightforward. We got Datadog running in a couple of hours, and deployed it across our production environment, We just installed StatsD, started sending metrics, and it just worked. Deployment was super easy and their setup and integration made us feel like it wasn't a vendor lock-in.
What's my experience with pricing, setup cost, and licensing?
Initial cost was a couple of days of work, day to day nothing really.
Which other solutions did I evaluate?
Yes, we evaluated a bunch of option, including New Relic, as well as toying with the idea of hosting our own, a couple of others as well. We didn't want to manage our own, our corporate culture is to let other companies be the experts when possible. In the case of Datadog, the product exists -- made sense to let them be the experts.
What other advice do I have?
I'm an advocate of Datadog -- go for it.
Disclosure: PeerSpot contacted the reviewer to collect the review and to validate authenticity. The reviewer was referred by the vendor, but the review is not subject to editing or approval by the vendor.
Buyer's Guide
Datadog
November 2024
Learn what your peers think about Datadog. Get advice and tips from experienced pros sharing their opinions. Updated: November 2024.
814,763 professionals have used our research since 2012.
Software Developer at AhnLab, Inc.
The AWS version is not difficult to upgrade, but the on-premise version is
Pros and Cons
- "I don't have to worry about upgrades with the AWS version."
- "The on-premise version is very difficult to upgrade."
What is our primary use case?
We use it to store editorial content.
We started out on the on-premise version, then moved to the AWS version.
What is most valuable?
I don't have to worry about upgrades with the AWS version.
What needs improvement?
The on-premise version is very difficult to upgrade.
For how long have I used the solution?
More than five years.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Updated: November 2024
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