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.
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Staff Engineer at a tech services company with 1,001-5,000 employees
Oct 24, 2022
We like the distributed tracing and flame graphs for debugging. This has been invaluable for us during periods of high traffic or red alert conditions. It has also informed our developers on how our various systems are interconnected and the downstream effects of the problems we might encounter for certain services. We're still working on getting widespread adoption of these products. Still, we're already seeing a shift in the developer's perspective from application-specific and starting to look at things from a more holistic systems perspective. While this is not part of the question, this is relevant: Now that I've learned more about RUM, this will be something that we will heavily leverage moving forward to give us a whole complete view of our system from the front and back end perspective.
The most valuable features of Datadog are the flexibility and additional features when compared to other solutions, such as AppDynamics and Dynatrace. Some of the features include AI and ML capabilities and cloud and analysis monitoring
Datadog could improve the flexibility with AI and ML…
AWS Cloud Architect Consultant at a manufacturing company with 10,001+ employees
Sep 19, 2022
Our company deploys the solution for our customers as an observability tool to define SLOs and SLIs along with logs and metrics. The solution includes incident, post-mortem, and root cause analysis that provides a level of truth for incidents and issues with applications. We have SREs and teams…
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.
Room for Improvement
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.
Popular Use Cases
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.
Service and Support
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.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Some of the ways that organizations can benefit by deploying Datadog include:
Gain an integrated view of the services and programs that IT teams are employing across their networks. Users can view and monitor all of the disparate programs that they have running across their networks with this one solution. They can track these programs across the entirety of the data’s life cycle.
Analyze and utilize massive amounts of data in real time. Datadog’s dashboards gather data in real time. Administrators can utilize their network’s data the minute that it becomes relevant to them. Decisions can be made based on the most current information available.
Keep your cloud network secured against digital threats. Datadog enables users to create alerts that will notify the minute that threats arise. IT teams and administrators can rapidly address any issue that comes up and prevent any existing problem from growing worse.
Easily get it up and running. Users can set up Datadog, configure it, and employ API integrations to connect it to external solutions with ease.
Customizable and prefabricated monitoring dashboards. Administrators are supplied with two different types of dashboards that they can choose from when they are setting up Datadog. They can customize the dashboards to fit any specialized monitoring need. Additionally, users can choose to use prefabricated dashboards that come with the solution.
Disaster recovery feature. Datadog has a built-in feature that enables organizations to continue functioning if some disaster strikes their network. If the network suffers damage, Datadog can restore lost data and infrastructure. Should a digital threat do damage to the network, Datadog ensures that the damage is not irreparable.
Vulnerability scanning tool. Users can keep ahead of threats to their networks by employing Datadog’s vulnerability scanning feature. This tool scans the entirety of a user’s network and warns them if a vulnerability is detected. Users can then move to patch these holes in their security before the threat to their network can escalate.
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.