No reclamado: están trabajando en Datadog ?
Datadog Reseñas y detalles del producto
Datadog es una potente plataforma de monitorización y análisis en la nube, diseñada para ayudar a las empresas a supervisar sus aplicaciones, servicios e infraestructura. Al integrar de forma fluida datos de servidores, bases de datos, herramientas y servicios, permite a los equipos monitorizar el rendimiento en tiempo real, identificar anomalías y optimizar el estado de su ecosistema tecnológico. Con su completo conjunto de funciones, que incluye paneles personalizables, alertas e información basada en aprendizaje automático, Datadog permite a las empresas garantizar un alto tiempo de actividad y un rendimiento óptimo, facilitando la toma de decisiones basadas en datos para los equipos de TI y DevOps.
| Capacidades |
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|---|---|
| Facilidad de uso |
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| Despliegue | Nube/SaaS/basado en web, Mac de escritorio, Windows de escritorio, Android móvil, iPhone móvil, Linux local |
| Soporte | 24 horas al día, 7 días a la semana (representante en vivo), chat, correo electrónico/servicio de ayuda, preguntas frecuentes/foro, base de conocimientos, soporte telefónico |
| Cursos | Documentación |
| Idiomas | Inglés |
Datadog Pros y contras
- Funciones integrales de monitoreo y seguridad
- Más de 900 integraciones con diversas tecnologías
- Análisis en tiempo real y paneles personalizables
- Información basada en aprendizaje automático para la detección de anomalías
- Interfaz fácil de usar con un diseño moderno
- La configuración inicial puede ser compleja para principiantes.
- Los precios modulares pueden resultar costosos a medida que aumentan las funciones
- Algunos usuarios informan de experiencias variadas con la atención al cliente.
Compara Datadog con otras herramientas populares de la misma categoría.
Integrations are easy and user friendly, easy to learn and help documentation is available.
Syslog integration with 3rd party applications should be improved, especially the way API send to the application.
Added datadog to our relay server monitoring, checking CPU, Memory, and Storage utilization. SSH check
can filter each attribute easily so it's easy to find
nothing, all good, already good enough for my use
find log to troubleshoot issue
- application monitoring - infrastructure monitoring - container monitoring
- difficult for fresher to understand at first time - costly when we have to scale it
we are using datadog for complete infrastructure monitoring along with network monitoring, incident managements, alerts
It's easier to find bug detection of backend Logs monitoring also time stamps for all time zone
It would be good if we have some demo videos or tutorial it self in site for biggners from installation to set up and how to use
With this we can check bug detection. All data sorting could be done earlier way
Incident investigations with log anamoly detection
although everything in data dog is so modern and implemented with ease, the navigation to diff dashboard can be made easy
- infra monitoring - app monitoring - logs tracing - incidident handling
We like ease of navigation and logs tracing capabilities of datadog. Also ease of installation of agents.
Costly if need to scale and frequent updates
Application performance monitoring Infrastructure monitoring Alerting Pod level monitoring Logging
feature to gain infrastructure visibility, effortlessly integrate the Datadog agent with running docker containers, continuous profiling, analyze the traffic flow
customization support is a less, comparatively advanced APM tool.
As soon as an issue arises, Datadog will provide all the information to developers needed to fix it and avoid any further degradation of an application. Finally, the performance monitoring tool Datadog ensures that the end user's experience is the best it can be in the present condition of the system. Also, Root Cause Analysis(RCA) is easy with the Datadog.
- Integration with a lot of services - Providing detailed visibility into infrastructures
- Could provide more insights on serverless events
- Datadog is our primary solution for logging and monitoring applications and infrastructures in AWS Cloud, which provides a detailed report of everything - For our mobile applications, we also have made use of RUM and production issue tracing has never been easier
I have been using datadog for last more than one year. What I like about datadog is its features such as optimize performance and enhance communication between applications or different parts of infrastructure
There is nothing to dislike. But as a bigner I couldn't find enough documents to learn about it. But it was very easy to integrate with AWS using cloudformation.
Getting emails alerts whenever perticular threshold reaches of host. Monitor infrastructure, creating dashboards for monitoring, customisation according to need, High availability etc
Datadog can monitor distributed architectures. We can use it to optimize performance. I use Oracle SQL Developer with it What makes Datadog different? Datadog can monitor distributed architectures, hybrid environments, and microservices
The documentation for a few integrations is outdated and not always straightforward. By providing detailed documentation and a detailed description. In documentation and control document part
To determine performance metrics and event monitoring for infrastructure and cloud services. Yes, we are more productive. Yes, our company business has improved