Scaling Observability with Datadog
July 15, 2025
Scaling Observability with Datadog

Score 10 out of 10
Vetted Review
Verified User
Overall Satisfaction with Datadog
I use Datadog to monitor my websites, infrastructure and databases etc. It solves multiple business problems. Earlier, I was using various tools for observability and monitoring purposes, but now, after migrating everything to Datadog, I don't have to use multiple tools. Now I am using it as a centralized observability solution. It gives real time incidents which helps us to reduce the MTTD and MTTR. I am using microservices architecture, so earlier I was using different tools to troubleshoot my issues, and it's really difficult to show the end-to-end transaction journey in those tools, but now after migrating to Datadog, it's easy to show the end-to-end transaction journey with the help of its distributed tracing concept. And also helps us to monitor my cloud services, with the help of Datadog, I am able to increase the availability of my services and reduce the downtime.
Pros
- The thing which Datadog does really well, one of them are its broad range of services integrations and features which makes it one step observability solution for all. We can monitor all types of our application, infrastructure, hosts, databases etc with Datadog.
- Its custom dashboard feature which helps us to visualize the data in a better way . It supports different types of charts through those charts we can create our dashboard more attractive.
- Its AI powered alerting capability though that we can easily identify the root cause and also it has a low noise alerting capability which means it correlated the similar type of issues.
Cons
- The thing which I feel that Datadog can improve is its UI it should make its UI more user friendly so that any new user also can easily work on Datadog.
- It is a bit costly compare to other observability tool, so Datadog team can work on that.
- It reduces the downtime of our applications and websites by reducing the MTTD and MTTR with the help of its proactive monitoring features.
- It improved the security of our microservices and application through the help of its vulnerability detection.
- It also increases the efficiency and productivity of our developers by telling them the exact reasons where they are failing or where the error occurs, so they can easily fix their issues.
I selected Datadog because of its features and the wide range of integration support. As I already told it supports more that 600+ integrations which helps and organization to keep everything in a single place and also its AI feature which is reducing the time for root cause analysis. Its custom dashboards features which helps us to visualize the data in a more attractive way.
Do you think Datadog delivers good value for the price?
Yes
Are you happy with Datadog's feature set?
Yes
Did Datadog live up to sales and marketing promises?
Yes
Did implementation of Datadog go as expected?
Yes
Would you buy Datadog again?
Yes
Comments
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