Opiniones de Datadog

Teniendo en cuenta que tiene un plan gratuito cabe destacar que brinda informacion completa sobre el servidor y los equipos que se monitorean.

Cabe recalcar que es un aplicativo pago y obiamente la vercion gratuita tiene limitantes pero es excelente aplicativo y recomiendo adquirirlo.

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

La falta de un panel ejecutivo de respuesta aleatoria, me impide una mas rapida toma de desiciones

It's got everything that's needed for infrastructure and application monitoring and alerting. It also fits extremely well into our Infrastructure-as-Code paradigm where everything we set up is kept in a git repository as a Terraform project. DataDog is what we recommend and implement for our clients, and provides more useful features than Sensu.

Metrics and monitors don't render correctly on mobile phones. It's totally unusable in portrait mode, and barely usable in landscape mode.

DataDog is able to ingest and make sense of a complicated cloud application without the developer having to understand the infrastructure or program specifically for it.

That if I could afford it I would turn on all the features 24/7 and use them all.

I liked it very much. So nice to have that event stream and subscriptions. And it's very easy to share your findings with colleagues.

Default setup is just empty.
These plugins they list as available will give you only so very basic info, that it's totally worthless.
We had to write our own plugins for each and every service and part of our system.
And the support team ignored my questions regarding future improvements in Kubernetes plugin.

It is easy to provision and integrates into modern applications

For basic monitoring of our legacy solutions, the software is to expensive

Ease of use and integrations. Log management is outstanding, as well as Kubernetes integration

Lack of a simple Prometheus integration. Agent configuration docs (for specifics) is sometimes hard to find

As a non-technical QA person, I needed a tool to help automate tests without a lot of the technical aspects. Datadog allows me to build and schedule tests by clicking through the online version of our tool, making it incredibly simple. It also records what's wrong and allows me to edit the paths at any time if we ever make changes.

I wish I was able to use this same functionality for our mobile app or even for processes like account creation. Since we push our sign up through a payment portal we're unable to use Datadog in the same was there.

All in one shop. APM, DB monitoring , synthetic transaction and log analysis

APM does not work well on nodejs asyc services. Might be hard to track transactions.

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.

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.

- The filter functionality is great which lets you filter out errors for quick analysis, can easily create custom dashboards.
- Great Visualizations, easy to set up dashboards/monitors with options do maths like ratios, rates, average, interval.
- It can be easily integrated with other apps like Slack to set alerts for failed jobs.
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- A slow learning curve, lack of resources on how to get useful functionality from UI or APIs.
- UI sometimes be bit slower although not bad if you've integrated with multiple external apps.

good integrations with collectors. Open text search. Alerting systems. custom downtime for deployments.

Aggregation and APM metrics. More of alerting. New features to aggregate fields

Really simple set up to monitor our full stack environment. Dashboard is very clear and suitable for both technical and non-technical stakeholders.

Nothing really. Migrating to any product can be challenging but setup was pretty simple and no key functionality absent.

I can handle ALL things in Datadog. I have an answer for CI / Pipelines, arbitrary metrics, trace data, logging and more.

There are a lot of specific costs. Compare, if you will, with NewRelic (all features are free) or Dynatrace (cost on retention and davis units). If you enable "all the things", it can be costly.

the ease of implimentation and the ability to capture meaningfully info easilyquickly

it's super expensive....almost cost prohibitive

This software allows to monitoring all you need and also can find lots of solutions for a high gama of cases. by using this app i be able to see the problems that me and my team have, so we can solve it by utilizing all the data that datadog provides. Works in differents OS and that make things more easy

The proces to instal and put in march this softwre can be a nightmare if you have not experience, it is really complicated. Though the software have nice tools, the price is not the best in the market, is posible to find something good for lowes price if you know what are you loking for. And finally haved some problem with some data transfer working with this app but i really dont konw what was the razon why

Correlation between APM, Infra, Log, Network and everything can make it possible to view in multiple dimensions. Also, RUM feature is so strong to cover the end-to-end observability in realtime.

One of the most expensive tool. And it could be challenged by the management.

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.

Datadog has a mature product but features are limited, the tool feels dated and the UI is very plain.

We do like easy management and analysis of logs, tracing .

Helm charts is bit hard to understand. Configuration might be hard for non experienced person

Datadog provides a great, easy-to-use and extensible interface for displaying data out of your own systems, providing you the insight to sniff out issues as they arise.

No matter how many integrations Datadog builds in, there will always be gaps, and some of those gaps hit our needs. As such, we need to use several monitoring solutions to cover our whole platform.