Sold by: DatadogÂ
Deployed on AWS
AWS Free Tier
Datadog Agent for Windows provides full stack monitoring on your Windows EC2 instances.
Overview
This listing allows you to build an AMI with a pre-configured version of the latest Datadog Agent. By using the AMI with built-in Datadog Agent, you can easily deploy EC2 instances with Datadog's full stack monitoring capabilities, streamlining the setup of observability across your AWS infrastructure.
Highlights
- Collects real-time logs, traces, and metrics for full-stack monitoring.
- Provides deep visibility into infrastructure and application performance.
- Easy to deploy on EC2 instances for streamlined observability setup.
Details
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Categories
Delivery method
Supported services
Delivery option
Datadog Agent Component for EC2 Image Builder
Latest version
Operating system
Windows
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
t2.micro AWS Free Tier | $0.00 |
t3.micro AWS Free Tier | $0.00 |
m6i.16xlarge | $0.00 |
g6.2xlarge | $0.00 |
m5zn.12xlarge | $0.00 |
m7i.48xlarge | $0.00 |
r6a.24xlarge | $0.00 |
r6idn.2xlarge | $0.00 |
i2.8xlarge | $0.00 |
c5a.2xlarge | $0.00 |
Vendor refund policy
no refunds
Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Datadog Agent Component for EC2 Image Builder
Supported services:
- Amazon EC2 Image Builder
EC2 Image Builder Component
EC2 Image Builder is a fully managed AWS service. It automates creation, management, and deployment of custom, secure, and up-to-date server images. After procurement, use the EC2 Image Builder console/API to include this third-party component in golden images for future EC2 instances.
Version release notes
First release of Datadog Agent IB component for Windows
Additional details
Usage instructions
Product usage instructions available at https://docs.datadoghq.com/integrations/amazon_ec2/?tab=ec2imagebuilder#agent-installation-through-ec2-image-builderÂ
Support
Vendor support
Contact our knowledgable Support Engineers via email, live chat, or in-app messages
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
4.3
7 ratings
7 AWS reviews
|
680 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Ilja Summala
Alerting and metrics improve monitoring efficiency while pricing presents challenges
Reviewed on Aug 07, 2025
Review provided by PeerSpot
What is our primary use case?
The primary purposes for which Datadog is used include infrastructure monitoring and application monitoring.
The main use case for Datadog integration capabilities is to monitor workloads in public cloud, and those public cloud integrations that reached the public cloud metric natively were helpful or critical for us. We are not using Datadog for AI-driven data analysis tasks, but more cloud-native and vendor-native tools at the moment, and at the time when I was still in my last employer, we didn't use Datadog for the AI piece at all.
What is most valuable?
I find alerting and metrics to be the most effective features of Datadog for system monitoring. It was still cheaper to run Datadog than other alternatives, so the running costs were cheaper because it was SaaS and quite easy to use.
Datadog is only available in SaaS.
What needs improvement?
The pricing nowadays is quite complex.
In future updates, I would like to see AI features included in Datadog for monitoring AI spend and usage to make the product more versatile and appealing for the customer.
For how long have I used the solution?
I have been using Datadog since 2014.
What was my experience with deployment of the solution?
There were no problems with the deployment of Datadog.
The deployment of Datadog just took a few hours.
What do I think about the stability of the solution?
The challenges I encountered while using Datadog were in the early days when the product was missing the ability to monitor Kubernetes and similar features, but they have since added those features. At the moment, I don't think there are too many challenges that I am worrying about.
How was the initial setup?
One person is enough to do the installation.
What other advice do I have?
I am not working with any of these solutions currently because I'm on sabbatical, but I used to work with Datadog six months ago, and now at the moment I'm on sabbatical.
We were using the tools that AWS and Azure came with natively to monitor the AI workflows on their platforms.
I used to work as the CTO at Northcloud, but I no longer work there.
On a scale of one to ten, I rate Datadog an eight out of ten.
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Other
Ragini C.
Decoding Chaos with Datadog
Reviewed on Jul 19, 2025
Review provided by G2
What do you like best about the product?
What impressed me most was how observability didn't feel like an afterthought. From the momentI integrated our service, I started discovering unknown bottlenecks without even setting custom alerts.
What do you dislike about the product?
Switching between dashboards, logs, and monitor sometimes felt like context switching between apps. I wished there were more shortcuts stitch it together.
What problems is the product solving and how is that benefiting you?
Datadog helps us reduce our incident response time drastically connecting metrics, logs and traces in one place. We used to rely on multiple disconnected tools , now we catch issue earlier and more context.
Raviteja B.
Its a great to track all the endpoints
Reviewed on Jul 18, 2025
Review provided by G2
What do you like best about the product?
data accuracy and tracking for endpoints
What do you dislike about the product?
Analytics can be improved, more visualizations
What problems is the product solving and how is that benefiting you?
I'm tracking the error rates of each endpoints
Chamindu H.
More reliable and comprehensive monitoring solution
Reviewed on Jul 10, 2025
Review provided by G2
What do you like best about the product?
We can monitor our all in centralized platform. Dashboards are very clear and we can integrate our other solutions as well. That is big advantage for us. We can fix and resolve our problems quickly using datadog
What do you dislike about the product?
Compared to other competitive products, datadog price are bit higher. Small and medium size businesses cannot buy this product easily.
What problems is the product solving and how is that benefiting you?
We can quickly identify and and respond to our problems in our systems and applications. It gives real time visibility for all our systems in centralized platform. We can minimize trouble-shootings and save our time.
Deepak K.
Monitoring tool
Reviewed on Jul 03, 2025
Review provided by G2
What do you like best about the product?
Mainly best for Metrics and track performance and logs and alerting and integration
What do you dislike about the product?
No dislikes. But Unable to see code level in the background. Which process are running.
What problems is the product solving and how is that benefiting you?
Tracking application performance and cloud analytics and checking the logs and faster issue detection and track user interactions