Sold by: Datadog
Deployed on AWS
AWS Free Tier
Datadog Agent provides full stack monitoring on your EC2 instances.
4.4
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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Delivery method
Supported services
Delivery option
Datadog Agent Component for EC2 Image Builder
Latest version
Operating system
Linux
Deployed on AWS
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Pricing
This product is available free of charge. Free 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.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Vendor refund policy
no refunds
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Legal
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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) .
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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 Linux
Additional details
Usage instructions
Product usage instructions available at https://docs.datadoghq.com/integrations/amazon_ec2/?tab=ec2imagebuilder#agent-installation-through-ec2-image-builder
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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Datadog is a monitoring service for large-scale applications that aggregates data across your entire stack with 250+ integrations for troubleshooting, alerting and graphing.
Datadog Agent for Windows provides full stack monitoring on your Windows EC2 instances.
Calyptia Core Agent is from the maintainers and creators of Fluent Bit.
What is Fluent Bit?
Fluent Bit is an open source project that deploys as a lightweight process on your Linux, Windows, MacOS servers as well as your container environments that lets you collect, process, and route logs / metrics / trace data at high speeds.
What is Calyptia Core Agent?
All the features of Fluent Bit with the following:
Enterprise Stability
1 year maintenance, security, and bug fix cycles
Support for extended life operating systems
Premium Features
Advanced control for enterprise environments, including network and throughput controls
Fleet Management and Monitoring capabilities to deploy and manage at scale
Integrations with Splunk, Datadog, New Relic, Elasticsearch, OpenSearch, AWS S3, AWS Kinesis, and more
Extended Support
Service Desk and SLA available
Calyptia Core Agent is a product of Chronosphere (https://chronosphere.io)
Customer reviews
Kunal G.
Feature-Rich with Room for UI Improvement
Reviewed on Apr 03, 2026
Review provided by G2
What do you like best about the product?
I really like that Datadog gives us developers a unified view into multiple aspects of the software's development lifecycle. It handles logging, metrics, observability, telemetry, and error reporting all together. I specifically appreciate being able to filter logs based on multiple aspects and set parameters, which makes it easy to check logs for particular users or domains. It also simplifies the visualization of log occurrences through pie charts, graphs, and histograms, and these can be exported and shared with colleagues to derive insights. Additionally, the initial setup is straightforward, and the enterprise team helps streamline things, while there is ample online support and community resources available for problem-solving.
What do you dislike about the product?
Sometimes the UI can appear messy and cluttered, especially to novice users. It made me feel overwhelmed when I first started using it because there were so many buttons and features, which makes the learning curve a bit steep for newcomers.
What problems is the product solving and how is that benefiting you?
I use Datadog to aggregate logs and derive insights, debug applications across environments, and manage incidents through integrations with Slack and PagerDuty. It offers flexibility in log searching and cold storage to save on costs. Overall, it simplifies monitoring and telemetry, making my work easier.
Computer & Network Security
Datadog as a Single Source of Truth for Metrics, Traces, and Logs
Reviewed on Mar 29, 2026
Review provided by G2
What do you like best about the product?
What I like most about Datadog is that it can act as a single source of truth for our entire stack, helping break down the silos between infrastructure metrics, APM, and log management. During an incident, instead of jumping between three different tools, my team can quickly pivot from a spiked CPU metric to the relevant trace and the corresponding logs in just a couple of clicks.
What do you dislike about the product?
The learning curve is pretty steep. Since Datadog has expanded into so many areas (Security, CI Visibility, Real User Monitoring), the UI can feel cluttered and overwhelming—especially for new team members. On top of that, the cost of log indexing and retention is a major hurdle. I like the 'Logging without Limits' concept in theory, but the price gap between ingesting logs and actually being able to search them (indexing) forces us to make tough decisions about what data to keep.
What problems is the product solving and how is that benefiting you?
By combining APM with Quality Gates, we’ve been able to automate our safety checks. We can now clearly see the direct impact each deployment has on our core web vitals and error rates.
Computer & Network Security
DataDog Delivers Deep, Reliable Visibility Across AWS and GCP
Reviewed on Mar 26, 2026
Review provided by G2
What do you like best about the product?
We use DataDog primarily for infrastructure monitoring across EC2 instances, EKS clusters, and more. It gives us full visibility into the critical systems we run, mainly on AWS and GCP. “Very functional” is the best way I can describe it, and it consistently provides deep insights into the systems and resources we operate across both services.
What do you dislike about the product?
I think the setup can be a bit complex, and you may need an understanding of things like agents. I also feel it would be better if there were an easier way to cover more of the resources, because setting up the agents wasn’t very straightforward. On top of that, there are quite a lot of monitoring services, so it can get overwhelming pretty quickly.
What problems is the product solving and how is that benefiting you?
Monitoring, visibility, and observability have been a big focus for us. The core AWS and GCP alerting services aren’t really easy to get up and running, and with so many different services we needed eyes on, we wanted everything in one central system. DataDog really solved that for us.
Modi M.
Essential for Accurate Logging and Issue Resolution
Reviewed on Mar 23, 2026
Review provided by G2
What do you like best about the product?
I use Datadog to check logs and audits, and I appreciate how it shows the timestamps of logs and events, which makes communication with the customer easy and allows our engineering team to fix issues faster. I like the RUM logs and replay sessions because the RUM logs provide an accurate log of success and failures, which helps escalate with the engineering team to fix issues, and the replay session allows us to see how the user interacted with the UI.
What do you dislike about the product?
The UI seems cluttered at times with too many elements. It might be better if there were organized sections to easily access information. For example, if there are device-specific details, they should be under a section labeled 'device' where all related details and geolocations can be found. Also, it took some time to get a hang of it initially.
What problems is the product solving and how is that benefiting you?
Datadog shows log timestamps and events, easing customer communication and speeding issue resolution. RUM logs provide accurate success and failure reports for the engineering team, while replay sessions reveal user interactions with the UI.
Jesse S.
Insightful Monitoring, Quick Integration
Reviewed on Mar 11, 2026
Review provided by G2
What do you like best about the product?
I really like how quickly data shows up in Datadog. It's really quick and easy to integrate webhooks with it, and we can search through the results quickly and easily to find examples of integrations working or not working. Being able to dig into API payloads and understand what's causing issues by looking at API responses in Datadog makes troubleshooting a lot easier for me. The ability to build dashboards and metrics to gain insights on our integrations also stands out.
What do you dislike about the product?
Sometimes, once you have searched for something and it has filtered down to a specific context, it can be difficult to know how to expand the context to include other sources.
What problems is the product solving and how is that benefiting you?
I use Datadog to track errors in integrations, troubleshoot export issues, and check API error rates. It provides insights into system performance and helps me build dashboards to monitor API response times and integration status.