Datadog Reviews

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.

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.

Datadog is a SaaS monitoring solution, that could be used to monitor different aspects of you IT infrastructure. You can find pre-configured solutions in API marketplace, which probably cover all your needs after some fine tuning, otherwise you can build your own solution. Good and responsing customer support. Stable agents

Very poor set of solutions for Microsoft Azure monitoring
Very hard for new users, documentation is not very straightforward, so you`ll need to spend a lit of time communicationg with support

-Best user experience-Unified view of all metrics. It is a lifesaver when troubleshooting performance issues-A broad range of product offerings

-Expensive!-The pricing model isn't as flexible as it should be. You can only adjust your yearly contract 3 times per year.-Expect to spend more time managing costs than you would like.

Datadog is intuitive, easy to configure, and easy to use.

The cost for Datadog is too expensive.

Service Map, Session Replay, Custom metrics and monitors

We had a sticker shock after onboarding, as the was the hosts were counted for certain infrastructure was not clear from the documentation.

I need not have multiple monitoring solutions for different Applications. So, creating combined Dashboards/Monitors/Alerts is very convenient.

Pricing is a little on the high end, but it's definitely worth it .

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.

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.

We were up and running in one night. I have minimal dev skills and required my dev to setup with me. Seemed really easy with even the knowledge I had and the free trial made it simple to try.

When you initially signup make sure you choose the right server to log into. That should be in BOLD.

- 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.

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

Being able to funnel AWS CloudWatch logs into Datadog made speed of deployment of Datadog incredibly fast - days instead of weeks.The log searching and faceting are extremely powerful. It's responsive, everything loads fast, and I can find single log lines in seconds.

Being able to create facets on historical data would be great.When digging into log lines, being able to navigate back to previous lines that we read through would be great too. Sometimes we're clicking around so fast that a log line is long gone. I end up copying the URL and pasting it into a doc so I can refer back to it.

Datadog is a tool that I like for several reasons, because implementing it does not require technical knowledge, has a series of metrics that allow you to read whether the performance of applications or servers is appropriate or not, so if you find a failure or something out of the ordinary in these applications the user immediately receives alerts that notify him of this problem so that it can be resolved in the shortest possible time, these alerts being received at any time since Datadog works continuously 24/7 and the best thing is that it is a software that is very easy to use and implement, in addition to being extremely flexible because it allows you to choose the monitoring parameters that you want to apply.

Datadog is not a perfect tool because it has some drawbacks and is that the more applications are integrated with this software the performance or speed of information delivery tends to slow down which should not be since the integrations are to improve even more the performance of said tool.

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

Easy to use and gives us the data we need to understand what is happening in our applications.

It has taken us a while to implement. Ebs support is not as intuitive as others.

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.

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.

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.

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.

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 has integrations with pretty much every main software service you can think of. It has pretty robust support for Windows machines and the custom metrics support is great, so you can track anything you'd like.

The usability could be improved in some areas, the custom dashboard features are powerful but the syntax can be hard to work with.

I use this tool on a daily basis for handling errors both in our live environment and for testing. It allows me to see where an error may be coming from and follow it through to its source. I could not do my job effectively without datadog

The filtering of data is not as comprehensive as I would like. I sometimes need to search through the results to find what I need.
Displaying a record in the chronological order is not always perfect and I sometimes don't get the context I want.

We use Datadog mostly for our infra monitoring and log management. These features are very useful as they are real-time, helps to make sure our services are up and running, provide alerts whenever there's anomaly, and we can always trace back using their logs.

Pretty pricey and their UI is not easy to understand, first time user will need more time to adjust.

Great web monitoring tool if you have the time to dig into all the options and settings. The user interface is really professional and good looking and the charts and graphs are well thought out.

It requires a bit of server tinkering, which I wasn't familiar with. Not really a minus.