Wat is Datadog?
Datadog is een op SaaS gebaseerd monitoring-, beveiligings- en analyseplatform voor cloudinfrastructuur, toepassingen, logboeken en meer. Het platform helpt organisaties bij het verbeteren van flexibiliteit, het verhogen van de efficiëntie en het leveren van end-to-end zichtbaarheid in dynamische of grootschalige infrastructuren. Door het verzamelen van statistieken en evenementen uit meer dan 400 out-of-the-box diensten en technologieën stelt Datadog de ontwikkelings-, beveiligings- en operationele teams in staat om de bedrijfstijd van toepassingen te garanderen en de go-to-market activiteiten te versnellen.
Wie gebruikt Datadog?
Datadog is een monitoringsservice voor IT-, operations- en ontwikkelingsteams die op grote schaal applicaties schrijven en uitvoeren, en de enorme hoeveelheden gegevens die worden geproduceerd door hun apps en services willen omzetten in bruikbare inzichten.
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Reviews over Datadog
Great platform for logs analysis and cloud monitoring
Opmerkingen: Choosing to use Datadog made my work so much easier to accomplish. The logs analysis is one of the best thing that I can have in order to monitor my projects performance and health. This tool performs well and it is really useful. Real time logging works well. Definitely a must have.
I think that the best features that Datadog has is that you can track and follow logs in real time, something really important to have if your project is live. I like the idea of creating custom views of sets of logs (with custom filters, data parsing and a lot more) and that you can share them with your team.
It is a bit complicated to set for the first time. Is not quite easy to use or know at first about all the available features that Datadog has. Interface is tricky and can be a blocker sometimes. Following that, if your fields are not mapped in the right way, filters are not that useful.
Datadog is great! Room to improve but definitely the future of observability
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.
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.
Opmerkingen: If you can get it running I am sure it's good.
Looks like it should do the job, less log limits than other products.
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.
Everything in a single pane of glass
Opmerkingen: I have had a great overall experience with the product, the customer success team, and the support team at Datadog. I would highly recommend.
Datadog is a solid and stable product. They provide easy to use features and functionality that sets the standard for APM and Security tools - and their suite of tools is continuously expanding to important areas. The APM capabilities were able to handle our complex technology stack with little to no configuration necessary.
Not necessarily a con, more of a caution to monitor your consumption.. We worked with the customer success team to ensure our account was right sized based on forecasted usage. In the beginning we had to monitor our on-demand consumption as we outgrew our initial needs, this was handled incredibly well by the Datadog team, but you do need to keep an eye on your own consumption to avoid additional costs.
DataDog is key component of our engineering stack!
Opmerkingen: Initially we had purchased DataDog to get some basic observability and to lift our logs into a central location. Quickly we began leveraging there additional features to gain deeper insights, better monitoring, and to speed up troubleshooting. DataDog is now a cornerstone of our software stack and everyone from engineers up and into DevOps/SREs use this on a day-to-day basis.
The software can scale with the business needs. You can start with basic features or leverage many as you like (for $$) to gain deeper insights. Engineers once onboarded use it heavily to spot issues or troubleshoot more obscure bugs both in production and development.
You often need to review usage and costs. Misconfigurations, migration projects (where legacy + new infrastructures are required), integrations which may cause double reporting need to be observed to prevent run-away spend.