Datadog

Bon outil de suivi des données

Commentaires : Datadog a globalement une bonne convivialité. Il est un excellent outil de surveillance et d'analyse où il permet de déterminer les performances des solutions.

Avantages :

Je trouve que DataDog est un excellent outil pour DevOps . Il fonctionne comme une ressource centrale pour gérer et surveiller les applications et infrastructures. C'est un logiciel convivial et facile à apprendre. En outre, j'aime sa flexibilité sur les données que vous pouvez suivre et surveiller en temps réel. DataDog continue d'ajouter de nouvelles intégrations et de mettre à jour son application et à publier de nouvelles fonctionnalités.

Inconvénients :

Il n'y a rien que je n'aime pas extérieurement dans DataDog. Il est un bon logiciel. Mais je pense que le prix est un peu élevé vu du point de vue d'un individu ou d'une startup surtout qu'à mesure qu'il grandit, son prix augmente. C' est un peu cher mais la plupart des clients aiment la qualité.

Great platform for logs analysis and cloud monitoring

Commentaires : 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.

Avantages :

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.

Inconvénients :

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

Avantages :

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.

Inconvénients :

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.

Alternatives envisagées : Grafana et Elastic

Pourquoi choisir 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...

Logiciel antérieur : Pandora FMS

Great Experience with Supportive dashboard and management of Data.

Commentaires : Great with data monitoring

Avantages :

Collect vital information and tracks data. The interactive dashboard helps me keep my information organized for effective use. this application monitors my data in the most efficient and easy way. The overall experience is wonderful for me and I would definitely recommend investing into this software.

Inconvénients :

I have no issues with the software so far. it's a nice application

Powerful and flexible

Commentaires : We can connect traces, logs and events on our infrastructure. We can follow every HTTP request that arrives at our API to the individual services. If errors or other events occure we can see them, as they are connected with each request / trace. This helped us a lot in finding bottlenecks in our microservice architecture

Avantages :

I really like that datadog offers a free tier to get startet with it. It helped building a net of monitoring around our servers and services. We have implemented a wide collection of (they call it synthetic tests) that we use as an continuous integration test suite. We even can monitor the performance of different application versions.

Inconvénients :

Even if their locally installed agent on our servers is very flexible and can collect so many information, the configuration via YAML files is difficult to start with. The learning curve here is pretty steep in the beginning.

Alternatives envisagées : New Relic

Pourquoi passer à Datadog : The possibilities to make evaluations were much better back then