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Datadog - Blindspotfree observability
What do you like best about the product?
# of options it provides for triaging and narrowing down issues.
Reducing MTTD and MTTR
Reducing MTTD and MTTR
What do you dislike about the product?
I like the BITs . Would like to try it as it may cover maost of my current "dislikes"
What problems is the product solving and how is that benefiting you?
Reducing MTTD & MTTR
Application Engineer
What do you like best about the product?
APM, Custom Telemetry, Dynamic Instrumentation
What do you dislike about the product?
Dynamic instrumentation only works on sampled traces
What problems is the product solving and how is that benefiting you?
Incident response. Co-relating APM and Infra
Solid one stop platform for monitoring
What do you like best about the product?
It's easy to generate tests and monitoring your applications
What do you dislike about the product?
Have clearer paths/documents for custom platform integration.
What problems is the product solving and how is that benefiting you?
Continuous monitoring applications after launch.
All my data and security in one place
What do you like best about the product?
Single pane of glass overview of all our infrastructure. Easy to investigate application issues and cost reports
What do you dislike about the product?
Costs can creep up when you add more services
What problems is the product solving and how is that benefiting you?
Helps fill in gaps for security monitoring
Qa Engineer
What do you like best about the product?
I enjoy using the User experience of the platform
What do you dislike about the product?
I do think that a new user needs training to use everything
What problems is the product solving and how is that benefiting you?
It is helping me with Synthetic Testing
The Best Observability Tool for Cloud
What do you like best about the product?
Ease of integration with all Major Cloud Platforms.
Ease of APM setup.
Ease of custom dashboards and widgeting.
OpenTelemetry support.
AI for outlier detection, anomaly detection and correlation in a distributed microservices archtiecture.
Ease of APM setup.
Ease of custom dashboards and widgeting.
OpenTelemetry support.
AI for outlier detection, anomaly detection and correlation in a distributed microservices archtiecture.
What do you dislike about the product?
The docs for integrations could be more user friendly.
Too many features sometimes overwhelm a casual user and distracts debugging.
Too many features sometimes overwhelm a casual user and distracts debugging.
What problems is the product solving and how is that benefiting you?
Having observability for the entire tech stack of the enterprise in one place. It acts as a single tool for all distributed developer teams to instrument metrics for their applications.
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.
Datadog is useful for reading logs
What do you like best about the product?
what I like best about DataDog:
1. it provides a user-friendly interface to track down logs.
2. It allows to track and fetch logs according to specified time-frames.
3. Log appear live, so usage is useful to tracking down logs when on the spot.
4. Bug-tracking can be presented in a convenient way to help testers and developers during bug fixes.
1. it provides a user-friendly interface to track down logs.
2. It allows to track and fetch logs according to specified time-frames.
3. Log appear live, so usage is useful to tracking down logs when on the spot.
4. Bug-tracking can be presented in a convenient way to help testers and developers during bug fixes.
What do you dislike about the product?
What I dislike about DataDog:
1. User interface contains an overwhelming amount of features that make it difficult to navigate through.
2. Categorization is often innacurate and causes problems with finding specific logs.
3. Time-frame functionalities are often buggy and unreliable.
4. It's unclear how to integrates bugs from application in development to DataDog log system.
1. User interface contains an overwhelming amount of features that make it difficult to navigate through.
2. Categorization is often innacurate and causes problems with finding specific logs.
3. Time-frame functionalities are often buggy and unreliable.
4. It's unclear how to integrates bugs from application in development to DataDog log system.
What problems is the product solving and how is that benefiting you?
Problems that Datadog solved for me:
1. Is a solid platform to track down logs.
2. Helps tracking progress with bug discovery and bug fixes.
3. Helps with monitoring over database and server performances.
4. Allows to display live logs from current usage of application in development.
1. Is a solid platform to track down logs.
2. Helps tracking progress with bug discovery and bug fixes.
3. Helps with monitoring over database and server performances.
4. Allows to display live logs from current usage of application in development.
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.
A product for everything
What do you like best about the product?
Datadog has a product to solve almost any observability problem you may have. It's simple to implement into your workflow, and data will start enriching the rest of the products immediately.
What do you dislike about the product?
The pricing struture is confusing, and the support agents are very hit or miss in understanding your problem.
What problems is the product solving and how is that benefiting you?
We use Datadog for performance and error monitoring, application Performance Management, and security protection with the application security module.
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