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a elegir el mejor software
Sobre Datadog
Con la gestión de registros de Datadog puedes recopilar, procesar, archivar, explorar y supervisar sin limitaciones y de manera rentable todos tus registros.
It's expensive but the pricing is easy to understand and keep track of.
Filtered tags is very Slow. The integration with another tools is difficult.
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Excelente Monitoreo.
Puntos a favor:
Teniendo en cuenta que tiene un plan gratuito cabe destacar que brinda informacion completa sobre el servidor y los equipos que se monitorean.
Puntos en contra:
Cabe recalcar que es un aplicativo pago y obiamente la vercion gratuita tiene limitantes pero es excelente aplicativo y recomiendo adquirirlo.
Usos de Datadog
Comentarios: Es un aplicativo que responde a las necesidades actuales en el monitoreo de tiempo real de los servidores y bases de datos
Puntos a favor:
El envio en tiempo real de las operaciones y caidas de los servidores y bases de datos, lo que me permite una mejor toma de desiciones
Puntos en contra:
La falta de un panel ejecutivo de respuesta aleatoria, me impide una mas rapida toma de desiciones
Datadog for log analysis of cloud
Comentarios: Till now we have one of the good experience with the data dog as it is helping us a lot in monitoring our cloud and database server. A support from datadog team is also good thing to consider.
Puntos a favor:
The best feature of data dog is real time monitoring of logs and vulnerability scan which stands unique to save the server and cloud from further damaging
Puntos en contra:
The datadog user interface is very hard to learn and with the minimum training anyone cannot operate it fully also a lot of integrations are very difficult to operate.
Datadog is great! Room to improve but definitely the future of observability
Puntos a favor:
For us the most liked feature of Datadog is the possibility to compare all data that we received from our platform. Being able to compare the platform status, the network status, the performance traces, the logs is really helpful letting us find issues where we couldn't find if we will do it manually.
Puntos en contra:
Datadog is great but it misses something, for example it could include a self remediation tool. Since every server has already installed a Datadog agent it would be so helpful if with the UX we could add, edit or delete custom checks in python or something like that, and if we could automate some actions programmed in the UX so we could work and integrate with escalation policies, alerts and more.
Alternativas consideradas previamente: Prometheus y Grafana
Razones para elegir Datadog: Pandora was not escalating like we expected and we wanted to search for a unified product that covers everything we need, server monitoring, database monitoring, APM...
Software anterior: Pandora FMS
Couldn't install
Comentarios: If you can get it running I am sure it's good.
Puntos a favor:
Looks like it should do the job, less log limits than other products.
Puntos en contra:
Spent days trying to get it working on a pretty vanilla Windows VM but never could get it up and running. Support pretty much just told me to read the documentation which wasn't really helpful after going over it ten times already. Had similar problem with another product and they could tell me the exact lines of the config and registry that needed changing.
Alternativas consideradas previamente: Site24x7 y Raygun
Razones para elegir Datadog: Price
Software anterior: Retrace by Netreo
Good tool for monitoring
Comentarios: Good tool, a bit expensive but worth it.
Puntos a favor:
A complete suite to track and monitor applications
Puntos en contra:
Sometimes is complete to track an error and complex integration with some clouds
Using Datadog to guarantee bug-free software
Comentarios: It's an intuitive program that provides users with comprehensive records of all recent actions. Displays success or failure of the process. If the attempt fails, identify the faulty stage. It explains everything from beginning to conclusion.
Puntos a favor:
All of Datadog's basic building blocks are top-notch. Their data ingestion is lightning fast and (usually) dependable, their graph widget is adaptable and usable in a wide variety of contexts, and they have a good track record of introducing products that combine these features.
Puntos en contra:
Our experiences with Datadog support have been continuously negative; the company goes out of its way to avoid direct communication and offers irrelevant answers.
Best Application Performance Monitoring tool!
Comentarios: Datadog helped us solve a critical reliability and traceability problem we had with one of our customers. There was not clear visibility into the root cause of an issue when it happens and that caused finger pointing between teams. While there were other monitoring tools being used, they lacked the capabilities that Datadog has which provided much greater visibility and helped us improve the reliability of our system landscape. Onboarding was a breeze and customer service top notch!
Puntos a favor:
Service Map, Session Replay, Custom metrics and monitors
Puntos en contra:
We had a sticker shock after onboarding, as the was the hosts were counted for certain infrastructure was not clear from the documentation.
Alternativas consideradas previamente: Dynatrace
Razones para cambiar a Datadog: Ease of integration, comprehensive documentation, good community engagement, good customer service, clarity in pricing
One Consol for everything related to monitoring
Comentarios: Excellent.
Puntos a favor:
I need not have multiple monitoring solutions for different Applications. So, creating combined Dashboards/Monitors/Alerts is very convenient.
Puntos en contra:
Pricing is a little on the high end, but it's definitely worth it .
Great for working with AWS
Comentarios: We have been using DataDog to monitor our lambda logs for errors as well as keep track of load and uptime on various RDS and EC2/Fargate instances. The multiple account setup can be a bit flakey at times but overall the product works well and has a consistent interface
Puntos a favor:
The log imports from AWS work really well and are much faster at searching than using AWS Cloudwatch. I find it easy day to day to search for items in logs, especially after implementing a few log transformers
Puntos en contra:
initial setup gets a bit confusing sometimes, and it was easier to change the logging format of our code than to implement lots of parsers to make the log interpretation better
Alternativas consideradas previamente: Loggly
Razones para elegir Datadog: searching logs was too slow and difficult to get the results we desired quickly (especially to track down recent customer problems)
Razones para cambiar a Datadog: better / easier integration with our current development stack
Good service for logs management and analysis
Comentarios: We used it for querying and analyzing logs in case of problems in our platform (bugs, stability, performance, etc.)
Puntos a favor:
The searching and filtering capabilities where quite convenient
Puntos en contra:
The stability issues in the last year got more often than usual, which is quite problematic when you need access to you logs in real-time
I was hoping this would be a Splunk alternative
Puntos a favor:
Datadog is useful for visualizing and monitoring your cloud applications. If you have agents on you devices, it can analyze a ton of information coming in and show it to you, but that's where it ends, at least, as far as I could figure out in my free trial.
Puntos en contra:
I was very hopeful of this software, but I didn't want to throw agents from a product I've never used before on my servers and instances, so I tried to upload a data pull ( about 500,000 log entries) to Datadog, to see what it could do, but there's no way to upload a csv/txt file to the software. It has to be via agents on your services. I know that metadata would be missing from a csv, but it seems like a major oversight to not be able to accept a csv of logs for a new user to experiment at low risk.
Alternativas consideradas previamente: Splunk Enterprise
Razones para cambiar a Datadog: My company decided to stay with Splunk and not switch to Datadog. It has a lot more capabilities.
Real time Platform Monitoring Tools
Comentarios: DataDog is the best observability monitoring tool to detect any type of error in the system. The user interface is very simple and customer support and account help our teams in providing training and guidance in case of any issue. It can easily integrate with all third-party tools like Jira, slack, opsgenie
Puntos a favor:
The most like features of datadog are it provides real-time monitoring of any happens In the system and it is easily customizable. With the help of logs, we can easily create the monitor and dashboards. It can easily use all other third-party tools and can create alerts. It also provides anomaly which works on past data and it is sensitive and useful. Datadog is also AI capable, There is a feature called Datadog Insight which can easily detect any error in the system.
Puntos en contra:
Datadog is a fairly new application, Learning advanced features we are not able to find much documentation and learning on the internet. It also stores limited historical data and licensing is fairly high compared to similar monitoring platforms.
New Aged way of Monitoring
Comentarios: Overall experience has been great overall as our account managers will always do their best to try to meet our requirements and needs. They have done a good job at planning out all meetings with senior engineers when required.
Puntos a favor:
I truly enjoy the integrations that datadog provides. It allows us to view more metrics that are more of a deep dive into specific applications. These metrics help us understand what is widely monitored in the industry that we did not think about monitoring ourself. Another key item is that datadog comes out of the box systematic checks that we normally had to add in manually for a newly onboarded host.
Puntos en contra:
The item I dislike least is that when you decommission a host the application requires up to 24 hours for that host to officially disappear from the list rather than being removed immediately.
"Data-driven insights for smarter decision-making."
Comentarios: I've been using DataDog for a few months now and I'm really happy with it. It's a great monitoring and analytics platform for applications and infrastructure. It's easy to set up and configure, it's reliable, and it provides a lot of useful information to help me troubleshoot and monitor my applications. The dashboards and graphs are easy to understand and are great for getting an overview of how things are performing. The alerting and notifications are very useful, and I'm able to quickly identify and address any issues. Overall, I'm very satisfied with DataDog and would highly recommend it to anyone looking for a reliable and comprehensive monitoring and analytics platform.
Puntos a favor:
Datadog provides real-time insights into the performance of applications, servers, and services. It helps you quickly identify and troubleshoot issues before they become critical.Datadog is easy to set up and use. It requires minimal configuration and supports various cloud services and integrations, It provides a comprehensive monitoring system for both on-premises and cloud-based applications.
Puntos en contra:
Limited Customization Options: While Datadog provides a lot of pre-built dashboards and visualizations, it does not support extensive customizations.Datadog is a high-end monitoring platform, and its pricing reflects that. It can be expensive for small businesses, especially those who don’t have a large budget for monitoring software.
Well worth the investment
Comentarios: Overall, it has been a very pleasant experience in comparison to New Relic, Logic Monitor and AppD.
Puntos a favor:
It is simple to setup and maintain. Plus the UI is really easy to understand.
Puntos en contra:
Polling period of the alerts are not short enough. The lowest is every 5 minutes but if a site is down, 5 minutes is too long to wait to see if it is down.
Alternativas consideradas previamente: AppOptics
Razones para elegir Datadog: Price and ease of use
Software anterior: LogicMonitor, AppDynamics y New Relic
datadog stuff
Comentarios: i have a great account team that really partner with me. the service is very useful and reliable
Puntos a favor:
the ease of implimentation and the ability to capture meaningfully info easilyquickly
Puntos en contra:
it's super expensive....almost cost prohibitive
Datadog is best in class
Comentarios: Love it, could not imagine better.
Puntos a favor:
Easy to use and gives us the data we need to understand what is happening in our applications.
Puntos en contra:
It has taken us a while to implement. Ebs support is not as intuitive as others.
Alternativas consideradas previamente: Splunk Enterprise
Great service for monitoring
Puntos a favor:
Datadog provides a way of having a lot of information about your systems, clusters and infrastructure in only one site, being able to analyze valuable data for your company. It is possible to create alarms and notifications when overpassing some threshold or value, for example, when a service is down in your systems of when the CPU gets a high percentage of usage. It integrates pretty well with tons of services and systems, such as Amazon Web Services, Apache, Nginx, several databases, and a long etcetera. Also, it is possible to send notifications to apps like Slack or Hipchat.
Puntos en contra:
Datadog is not very easy to use at the beginning and it needs a little bit of investigation but it is worth to learn it.
Datadog Review
Comentarios: Making the decision to utilize Datadog really facilitated my job. One of the finest tools that I can use to keep an eye on the performance and health of my projects is the study of the logs. This gadget works nicely and is quite practical. Real-time logging is effective. Definitely essential.
Puntos a favor:
From my opinion, with the most excellent features that Datadog has as user can track and take after logs in real time, something truly imperative to have within the case of extend is live. I usually like the idea of creating custom sees of sets of logs (with custom channels, information parsing and a parcel more) which user will share them together with the user group.
Puntos en contra:
Setting it up for the first time, seems like is a little challenging which is not at all simple to use or understand all the capabilities that Datadog provides at first. Interface is challenging and occasionally a roadblock. Then, filters are not very helpful if user fields are not properly mapped.
Monitoring for senior developers / platform people
Comentarios: We use it as a primary monitoring system. I'm a senior developer in charge of my team and I use it a lot. Dashboards are used daily in order to monitor what's happening, usually when deploying new features or changing some endpoints. We can trace the improvements we do by measuring response time, amount of errors, etc. I, as team lead, also use notebooks a lot to elaborate the QBR (quality business review) each quarter. I can create custom reports easily using the custom metrics we have configured across all the microservices. In comparison with New Relic, from my personal experience, Datadog is much better.
Puntos a favor:
Dashboards. Custom metrics. Ruby integration. Notebooks. Monitors & alerts.
Puntos en contra:
It takes time to understand each part and understand how to use it. It's a complex thing and if you're not familiar with monitoring systems it could be difficult to figure it out how you can find what you need.
Monitor full stack app performance with Datadog
Puntos a favor:
For our AWS deployment, we use Datadog for application performance and server monitoring as well as synthetic HTTP tests . DataDog enables real-time information and measuring engineering-specific metrics and allows you to control how you trace and diagnose data. If you are looking to track the time it takes for a web hook to fire after an asynchronous request has been made, you can store the time the request has been sent in your database and when the webhook fires for that request, measure the delta and send it to DataDog. DataDog integrates with Slack, which allows for alerts on average and max thresholds.
Puntos en contra:
Datadog has a mature product but features are limited, the tool feels dated and the UI is very plain.
Platform observation tool
Comentarios: We are happy to use
Puntos a favor:
We do like easy management and analysis of logs, tracing .
Puntos en contra:
Helm charts is bit hard to understand. Configuration might be hard for non experienced person
Alternativas consideradas previamente: Dynatrace
Razones para cambiar a Datadog: Cheaper then dynatrace
Datadog is a must have for any cloud base infrastructure
Puntos a favor:
I love the ease of use, the up-to-date documentation, and the product capabilities.
Puntos en contra:
Support is slow and lacking, costs can get out of control fast and are not straightforward.
Alternativas consideradas previamente: Splunk Enterprise
Best all-in-one monitoring tool
Puntos a favor:
Being able to combine all of our analytics tools in one place makes it easy to find the right information to investigate, monitor, and resolve operational issues quickly. Combining products like logs and APM traces makes both tools even more powerful for finding and understanding problems with our applications.
Puntos en contra:
If there's one drawback, it's the cost, which can become expensive for monitoring high-throughput systems or systems with a lot of hosts.