Datadog is mainly used to set up alerts and thresholds to monitor real-time metrics and checks.
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Great correlation between metrics, logs, RUM
What do you like best about the product?
Correlating metrics, ease of creation of monitors/alerts, existing integrations easy to set up, lambda layers.
What do you dislike about the product?
Some documentation difficult to parse, many ways to perform same functionality for instrumenting metrics, costly logs, query customization is very difficult
What problems is the product solving and how is that benefiting you?
Observability, correlating metrics, User Monitoring, logs aggregration
Great experience
What do you like best about the product?
Observability and extensive information logging
What do you dislike about the product?
Web interface and lost of several options
What problems is the product solving and how is that benefiting you?
Monitoring application environment for e-commerce
Best observability tool
What do you like best about the product?
Easy and powerful integrations with technology
What do you dislike about the product?
documentation is lacking an updating mechanism.
What problems is the product solving and how is that benefiting you?
Having real time metrics and kpi to better focus my goals
Great tool for application observability and monitoring
What do you like best about the product?
Great UI .All observability and monitoring in one place.
What do you dislike about the product?
Ingesting K8s logs are little expensive compared to ther solutions available.
What problems is the product solving and how is that benefiting you?
monitoring
APM for Troubleshooting
What do you like best about the product?
Its features of tracing and APM. It has made troubleshooting errors in the code far easier. It also connects to a wide variety of languages and operating systems. The filtering system that Datadog has built in is rather handy for finding monitors, dashboards, and events. The Watchdog AI is a helpful tool in spotting pattern you may not have noticed in your applications before, and its breakdown of the pattern and possible causes is helpful in narrowing down root cause. The monitors are simple to implement and can be linked with ServiceNow and Pagerduty rather easily.
What do you dislike about the product?
We wish there was better admin management tools for pushing out updates and giving alerts on a more timely fashion that upgrades are necessary. Communication of these changes could be a little more timely as well. Instrumentation for projects has also gotten more complex than when we first started, but it can be understandable given how much Datadog has grown.
What problems is the product solving and how is that benefiting you?
It has helped us identify error patterns and service behavior/insight (hit rate, error rate, etc.). This has helped us troubleshoot issues for major incidents.
Datadog
What do you like best about the product?
We use Datadog for logging and incidence response. It helps us catch any alerts as soon as it comes in.
What do you dislike about the product?
There are a lot of services Datadog offers that I haven't learn a lot about.
What problems is the product solving and how is that benefiting you?
Datadog helps us keep track of server logs and alerts so that we can response to any server outage immediately.
Supercharges you observability workflow
What do you like best about the product?
Distributed tracing is pretty great. Also, the dashboarding is great. Also, DD is always innovating and bringing new offers to market. Synthetics have proven to be pretty powerful addition to our workflow and has saved us a ton of setup.
What do you dislike about the product?
Pricing strategy has us constantly on our toes to manage cost. Leaning into Config as Code would be helpful, and allow us to commit our synthetics to version control and push via CI.
What problems is the product solving and how is that benefiting you?
It gives us very convenient incident response tooling. We also use it to validate our performance testing numbers, dashboarding, smoke tests (via synthetics) and monitoring our API gateway.
Love Datadog, but the UI can be confusing at times
What do you like best about the product?
- Fairly easy to get started with
- SDK for pretty much every popular language
- Supports everything from performance monitoring to logging
- Fast customer support
- Fantastic documentation
- Straightfoward integration
- SDK for pretty much every popular language
- Supports everything from performance monitoring to logging
- Fast customer support
- Fantastic documentation
- Straightfoward integration
What do you dislike about the product?
- Confusing UI
- The docs is expansive but finding things can be hard at times
- Instead of learning another DSL, I'd prefer to use SQL to query my logs
- The docs is expansive but finding things can be hard at times
- Instead of learning another DSL, I'd prefer to use SQL to query my logs
What problems is the product solving and how is that benefiting you?
We're using Datadog as a one stop shop for everything: logging, tracing, metrics monitoring, performance analysis.
Helps to set up alerts and thresholds to monitor real-time metrics
What is our primary use case?
What is most valuable?
Integrating Datadog with other platforms has made our monitoring processes a bit easier. It's not super simple, but it's manageable.
What needs improvement?
For three to four months, we have been experiencing real-time delays. For example, if we're monitoring incoming traffic, the real-time status should be displayed up to a certain point. However, due to delays or issues with Datadog, the real-time data might only be updated at an earlier time. We are experiencing consistent delays in data updates from Datadog, with the most recent data often being delayed by about an hour. This issue has been ongoing for the past four months.
For how long have I used the solution?
I have been using the product for a year.
What do I think about the scalability of the solution?
My company has 50 users for Datadog.
How was the initial setup?
The tool's deployment is difficult and time-consuming.
What's my experience with pricing, setup cost, and licensing?
The tool is open-source.
What other advice do I have?
If you're thinking about using Datadog for the first time, I suggest getting some basic training in data operations. It'll help you navigate Datadog more easily.
Learning it for the first time is not overly difficult, but it's also not very easy.
I would rate the tool a seven out of ten. While it's a useful tool, we've experienced some issues that haven't been resolved yet. Additionally, setting up dashboards and utilizing all the features requires some training.
Which deployment model are you using for this solution?
On-premises
Great tool for starters and professionals
What do you like best about the product?
In my opinion DataDog offers a broad suite of products for observability which can easily be integrated with different providers. For AWS you can simply install a CloudFormation Template which then allows DataDog to access logs from your account. The user interface is pretty easy to use and also offers non-technical people an overview to the most important metrics. Integrating notification services such as Slack is also doable with a few clicks and allows you to send alerts to your teams' slack channel to have them notified instantly so they do not need to have a glance on DataDog every day.
What do you dislike about the product?
DataDogs pricing is sometimes not really clear for us and for some services we just had to wait for a month to pass so we can see how much another service really costs. While you can see what everything costs on their pricing page, this sometimes leaves questions.
What problems is the product solving and how is that benefiting you?
Without DataDog we really hadn't had any central solution for monitoring all our infrastructure and make it easy for other colleagues to access this data.
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