Datadog Pro
DatadogExternal reviews
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Future of observability
What do you like best about the product?
Metrics and dashboards really help me track CI performance
What do you dislike about the product?
Not available. I love everything datadog provides. Maybe learning curve is steep.
What problems is the product solving and how is that benefiting you?
Measuring CI visibility
Amazing
What do you like best about the product?
Customer Support & engagement from teams
What do you dislike about the product?
we don't use log management at discover. Probably i don't like that
What problems is the product solving and how is that benefiting you?
it provides enterprise monitoring solutions for our org
Greate, huge tool for SRE
What do you like best about the product?
Logs explorer and APM. Unified Tagging service.
What do you dislike about the product?
Cost to be honest is quite high. And comlexity sometimes is a lot.
What problems is the product solving and how is that benefiting you?
AS an SRE and leader of team i need Datadog on day to day basis to overwatch complex cloud system.
Datadog review
What do you like best about the product?
Datadog provides detailed monitoring, collecting data from different sources, such as servers, DBs and others. It's a complex tool with many different features, but UI helps users to navigate and find relevant information.
What do you dislike about the product?
It has quite a steep learning curve, and takes time to get experience.
What problems is the product solving and how is that benefiting you?
It provides detailed information about the infrastructure of the system, gives insights on the performance bottlenecks and many more.
Ultimate tool for Log Management
What do you like best about the product?
Datadog does particularly well in Incident Detection. Datadog enables real-time monitoring of service health, with alerting configured via integrations like PagerDuty. This helps us quickly detect production issues, minimise downtime, and maintain SLA/SLO commitments.
At Indeed, we use Datadog extensively across our engineering organisation for monitoring, incident detection, observability, and SLO management. It plays a critical role in ensuring the reliability and performance of our services, especially those with high user impact like the IRL Sign-In Tool and our GraphQL APIs. I use Datadog very frequently because it is easy to use and easy to integrate.
At Indeed, we use Datadog extensively across our engineering organisation for monitoring, incident detection, observability, and SLO management. It plays a critical role in ensuring the reliability and performance of our services, especially those with high user impact like the IRL Sign-In Tool and our GraphQL APIs. I use Datadog very frequently because it is easy to use and easy to integrate.
What do you dislike about the product?
The Datadog UI is powerful but can be intimidating and cluttered especially when building complex queries or nested monitors. There is a learning curve for everyone.
What problems is the product solving and how is that benefiting you?
Datadog does particularly well in Incident Detection. Datadog enables real-time monitoring of service health, with alerting configured via integrations like PagerDuty. This helps us quickly detect production issues, minimise downtime, and maintain SLA/SLO commitments.
At Indeed, we use Datadog extensively across our engineering organisation for monitoring, incident detection, observability, and SLO management. It plays a critical role in ensuring the reliability and performance of our services, especially those with high user impact like the IRL Sign-In Tool and our GraphQL APIs. Datadog addresses several business problems at Indeed company like, 1. Incident Detection and Response Datadog enables real-time monitoring of service health, with alerting configured via integrations like PagerDuty. This helps us quickly detect production issues, minimise downtime, and maintain SLA/SLO commitments. 2. End-to-End Observability With distributed tracing, log correlation, & metrics, we can pinpoint bottlenecks or failures across our micro services particularly valuable in our Envoy mesh based architecture and coroutine heavy services.
At Indeed, we use Datadog extensively across our engineering organisation for monitoring, incident detection, observability, and SLO management. It plays a critical role in ensuring the reliability and performance of our services, especially those with high user impact like the IRL Sign-In Tool and our GraphQL APIs. Datadog addresses several business problems at Indeed company like, 1. Incident Detection and Response Datadog enables real-time monitoring of service health, with alerting configured via integrations like PagerDuty. This helps us quickly detect production issues, minimise downtime, and maintain SLA/SLO commitments. 2. End-to-End Observability With distributed tracing, log correlation, & metrics, we can pinpoint bottlenecks or failures across our micro services particularly valuable in our Envoy mesh based architecture and coroutine heavy services.
Datadog :A Powerhouse Monitoring Tool
What do you like best about the product?
As an explorer who uses several monitoring solutions for cloud based applications, Datadog standout with its unique features. A key advantage of Datadog is its capacity to give a complete tech stack which is its core strength.
What do you dislike about the product?
Actually, I have no complaint of this product and I am fully satisfied.
What problems is the product solving and how is that benefiting you?
Datadog makes it easy to visualize the infrastructure. It is easy to monitor easily you can analyze with logs. It can create custom alerts or automate them to give alerts. It helps to reduce complexity of cloud infrastructure and services. It also helps in log management and enables trouble shooting.
Best observability platform for infrastructure ,APM and RU
What do you like best about the product?
We can create real time dashboards for better observability
Best tool for infrastructure,APM and Rummonitoring purpose
Best tool for infrastructure,APM and Rummonitoring purpose
What do you dislike about the product?
Cost-i think it is too much costly,it should be less costly
What problems is the product solving and how is that benefiting you?
We are using here for application performance monitoring,real user monitoring and infrastructure monitoring so we dont need to use multiple tools for each monitoring
Datadog is a great monitoring and observability tool
What do you like best about the product?
Is a tool that provides many services like infrastructure monitoring, logging, database monitoring, etc. The great about this is that all services are interconnected, so when a problem ocuurs in your systems you can configure Datadog to have end 2 end visibility of your platform, helping the engineers to debug and find problems easy and fast enough.
What do you dislike about the product?
Sometimes the ui is very overwhelming, specially at the beginning, so many buttons and features makes the platform very complex to use, so the leraning curve is a bit hard at the beginnning, once you learn to use it is really simple and intuitive
What problems is the product solving and how is that benefiting you?
The monitoring and alerting systems we have in AWS and GCP are good to identify problems, but when it comes to review an end 2 end problem that there is no clue when the error is happening, datadog is providing the tools to follow step by step with full visibility of our systems. This is increasing the productivity of the engineering team a lot. We are right now finalizing our trial version but I can tell that not even getting the full potentil of it yet, is really promising what we achieved in just a few weeks. Very excited of what is coming with the new discoveries of this platform features
Amazing UX
What do you like best about the product?
The user experience of DataDog is amazing. The granuality and flexibility of filters and charts makes it easy to quickly sift through large amounts of data and find what you need. This is especially useful when trying to quickly troubleshoot an incidents.
What do you dislike about the product?
One annoying thing about DataDog is working with IoC configurations that are defined in Terraform.
It's tough to make changes to your configurations because you need to deploy them in order to see if you did it correctly. It's also not possible to lock down resources defined with IoC, so sometimes people will edit something via the web UI that was conficuged in Terraform and then their changes will get reverted when Terraform re-deploys and they won't know why.
It's tough to make changes to your configurations because you need to deploy them in order to see if you did it correctly. It's also not possible to lock down resources defined with IoC, so sometimes people will edit something via the web UI that was conficuged in Terraform and then their changes will get reverted when Terraform re-deploys and they won't know why.
What problems is the product solving and how is that benefiting you?
System observability and incident response.
One Stop Solution (360 degree Monitoring)
What do you like best about the product?
Ecosystem and integration!
Effective communication between different Datadog products, such as APM and Infrastructure, shows detailed traces that I can drill down into to pinpoint the issue.
Effective communication between different Datadog products, such as APM and Infrastructure, shows detailed traces that I can drill down into to pinpoint the issue.
What do you dislike about the product?
There is a need for more improvements and features in the Datadog security lineup. A centralized SCA and SAST is lacking. Additionally, easier integration with MS Teams and other third-party software is necessary.
Flutter support in Real User Monitoring (it is not fully supported yet).
Flutter support in Real User Monitoring (it is not fully supported yet).
What problems is the product solving and how is that benefiting you?
1. At one glance I can see status of my production environment.
2. If there is issue in midnight then watchdog given me exact context on where is the failure and which all microservices were involved along with CPU and RAM usage of given period.
3. If there is crash for mobile application then it directly reports and create errors error tracking which I can assign it to team.
4. If there is vulnerability in the production then it scan and report.
5. If someone is trying to hijack the system then I can block those IPs.
6. Datadog detects unusual activities and reports it.
7. We have configured reports which get sends daily at 9AM to see previous day statics for review purpose so we are proactive if there are any issues.
2. If there is issue in midnight then watchdog given me exact context on where is the failure and which all microservices were involved along with CPU and RAM usage of given period.
3. If there is crash for mobile application then it directly reports and create errors error tracking which I can assign it to team.
4. If there is vulnerability in the production then it scan and report.
5. If someone is trying to hijack the system then I can block those IPs.
6. Datadog detects unusual activities and reports it.
7. We have configured reports which get sends daily at 9AM to see previous day statics for review purpose so we are proactive if there are any issues.
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