Datadog is a cloud monitoring solution that is designed to assist administrators, IT teams, and other members of an organization who are charged with keeping a close eye on their networks. Administrators can use Datadog to set real-time alerts and schedule automated report generation. They can deal with issues as they arise and keep up to date with the overall health of their network while still being able to focus on other tasks. Users can also track the historical performance of their networks and ensure that they operate at the highest possible level.
Datadog offers flexibility and combines tracing and logging capabilities all in one tool. The dashboards and alerts are helpful for tracking performance and quickly responding to issues. APM and profiling provide good visibility and insight. The ability to monitor CI systems, manage SLOs, and integrate with various platforms make it a comprehensive solution. The product is easy to use and offers useful features such as distributed tracing, log filtering, synthetic testing, and cloud security management. Additionally, it provides visibility, monitoring, and alerting capabilities for various services and applications.
The pricing model needs improvement to make the tool more widely adopted. The UI-based design lacks elegance and efficiency. More emphasis on query languages would be helpful. The Service Catalog needs more key features. Integration should be easier and more integration is needed with tools like Drata and Slack. There should be faster chat support. The documentation needs improvement in terms of getting started and debugging. There should be more examples and more code snippets. The education and training could be more detailed. The log storage should be cheaper. There should be a versioning system for Synthetic Tests.
Datadog has provided a positive ROI for many users, including improved DevOps, labor savings, reduced blindspots, and quicker debugging of live sites and has been a valuable addition to their tooling suite. Some have seen a high ROI or estimate it to be between 10x and 20x, while others believe it has saved months of time.
There are some limitations to the solution, such as not providing an adequate network monitoring solution, which can decrease the ROI.
Datadog's pricing can be expensive, especially for smaller organizations, and the pricing model may be restrictive until a certain size is reached. The pricing structure can be confusing and complicated, and users need to be cautious around custom metrics and negotiate rates.
Licensing is based on the retention period of logs and metrics, and users need to be aware of licensing control to avoid high costs. Some features, such as APM, RAM, and Session Replays can be quite expensive or become get expensive fast.
Datadog's RUM session replay is very inexpensive compared to other solutions.
It is recommended to keep an eye on usage and set up monitoring to avoid surprises with the cost. While the pricing level is rated reasonably, better visibility of the cost would give a better experience.
Datadog is used for monitoring applications, log analysis, observability, and security. It is used to monitor infrastructure and apps, ensure proper functioning, and troubleshoot problems as well as for tracing, metrics, alarms, and real user metrics. It is implemented for all aspects of system monitoring and testing application endpoints. It is used for logging log messages and synthetic testing and monitoring features, and is used to monitor and alert ECS instances as well as other AWS services. Datadog is also used for recording loggers on various services across different teams and for ingesting data from various sources to monitor log metrics. It provides dashboard and alert capabilities for centralized dashboarding and telemetry viewing for teams across the organization.
Datadog's customer service and support are generally praised by reviewers. Many reviewers have found them responsive, knowledgeable, and helpful and are considered to be high-quality.
Some reviewers have had issues with support taking a long time to respond or with have been passed on to multiple engineers. However, these are rare occurrences.
Opinions on the initial setup for Datadog vary a lot. Some found it straightforward and easy, with helpful documentation and a good GUI. Others found it complex, requiring multiple teams or technical support. The ease of setup seemed to depend on factors such as the type of data collection and the size of the environment being monitored.
The solution is highly scalable and it is easy to expand usage. While the scalability is great, effort must be put into keeping ongoing costs reasonable.
Overall, the stability of Datadog is excellent, without any issues. It is considered to be very reliable. When there have been minor problems, they have been fixed quickly.
Datadog Benefits
Some of the ways that organizations can benefit by deploying Datadog include:
Datadog Features
Reviews from Real Users
Datadog is a solution that stands out when compared to many of its competitors. It can offer organizations many advantages. Two major advantages are the dashboards that users can create and the monitoring capability that it gives system administrators.
A senior manager in charge of site reliability engineering at Extra Space Storage writes, “The dashboards we created are core indicators of the health of our system, and it is one of the most reliable sources we have turned to, especially as we have seen APM metrics impacted several times lately. We can usually rely on logs to tell us what the apps are doing.”
Housecall Pro’s senior director of DevOps writes, “We value the monitoring capability since it allows us to be pushed alerts, rather than having to observe graphs continually.”
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