Unclaimed: Are are working at Datadog ?
Datadog is a powerful cloud-based monitoring and analytics platform designed to help enterprises keep a keen eye on their applications, services, and infrastructure. By seamlessly aggregating data from servers, databases, tools, and services, it enables teams to track performance in real time, identify anomalies, and optimize the health of their technological ecosystem. With its robust suite of features including customizable dashboards, alerting, and machine learning-based insights, Datadog empowers businesses to ensure high uptime and peak performance, facilitating data-driven decisions for IT and DevOps teams.
| Capabilities |
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|---|---|
| Ease of use |
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| Deployment | Cloud / SaaS / Web-Based, Desktop Mac, Desktop Windows, Mobile Android, Mobile iPhone, On-Premise Linux |
| Support | 24/7 (Live rep), Chat, Email/Help Desk, FAQs/Forum, Knowledge Base, Phone Support |
| Training | Documentation |
| Languages | English |
Compare Datadog with other popular tools in the same category.
Datadog has continually improved its product to increase my visibility into my running application. In addition to raw information, their correlation facilities provide an awesome way to navigate the entier application.
The only downside to Datadog is that the raw stats do not always aggregate in an expected way. This can be discovered via early testing so that stats can be adjusted.
Visibility into my running application. This allows me to definitely answer, "Is My Product Working."
It is an all-in-one platform meaning that in just one place you'll have log management, APM, infrastructure metrics, RUM, monitors, dashboards and even notebooks so you can document everything you're doing and share it with your team. It is generally straightforward, and the Datadog team constantly releases new valuable features to improve the user experience. The agent installation is simple for every platform you'll need and has many options depending on your use case.
The lack of a log management language (such as Splunk's SPL) will not allow you to get much information from your logs unless you configure them immediately. If you work in a big company with thousands of users and dozens of teams, it will be a painful experience trying to make them follow a logging standard. In this case, a log management language will be helpful. The agent configuration lacks the option to set mandatory attributes or tags. This would help configure the agent properly, making every team follow a defined standard.
For more prominent companies, it allows us to monitor thousands of containers and pods with an easy way to visualize their behaviors. This directly impacts how quickly the incidents get mitigated because we can easily understand where the problem comes from. This helps reduce the time of outages and save money because of the same.
Tracking the application matrix to understand the feature popularity in the app, also helps us to understand user behavior and count progress on different wizards in the application, etc.
We've used the Data dog in React mobile application and based on our need we were able to do what we wanted, so no dislike at the moment.
Datadog is solving the logging, and metrics logging for the applications, which plays a vital role in understanding how the application is performing and what is popular among our audience/customers. So this is really helpful to see the metric counts records in the DataDog console and see a detailed report based on different perspectives.
I like its comprehensive monitoring capabilities, which allow us to track various aspects of our systems such as CPU and memory usage, network traffic, disk I/O, application performance metrics, and more.
Initially, it took some time for me to get familiar with the interface and understand how to set up alerts, how to customize dashboards, and how to navigate through the extensive data provided. However, the support team was very helpful and responsive in addressing my questions and concerns, which helped me become proficient in using the tool.
Comprehensive supervision from the cloud has allowed us to proactively identify potential issues and take corrective actions before they become major problems. This has resulted in improved system performance, reduced downtime, and increased productivity for our team.
We are using Datadog to grab our Nginx server logs & sending alert on 5xx status code to pagerduty. Also we are using this to monitor our all servers CPU & Memory usage.
Overall my experience is good with Datadog. Also there documentation is also excellent. they have provided all the steps with great explanation. They are little bit costlier than cloud providers AWS, GCP for monitoring & logging.
We were facing many issues in our application, while response, but we were not familiar about the issue, what exactly happening behind the seen, but when we integrated our application with Datadog, we rescued that it's giving lot of 5xx error in some APIs that we were not familiar of, then we set up alert and fixed all the things, & now it's working fine. And we are in good state regards our application side.
Everything you can think about regarding Observability is packed in a single consol.
Too much data.Needs a few interfaces to easily manage it. A little costly.
For an organization having many applications with different solutions can have a single view to check the status on one go.
Datadog has user friendly interface,it allows me to easily monitor my applications and services across multiple data sources, able to look up an specific error and determine the cause of issue. Livelogs,overall app breakup coverage,trails,CI and monitoring are the best.
There is nothing to dislike about this product.
It helps in understanding the performance of the system, applications we build.we are able to quickly identify the parts of our applications that are not scaling properly and able to fix them before they create a problem.Accuracy in log monitoring and efficiency in coverage of logs are very benefiting.
Detailing of Logs & Ease of Use also i like the easiness to implement and connect it with our System & Software.. Datadog came up with a simple yet unique software which helped me to tackle different attacks & abusive activities by our competitors.
I'm totally satisfied with the datadog & i'm going to share it with our colleagues too, so they can also use it to tackle these things if they need it. I'm totally satisfied with the services offered by datadog.
I was searching for a Metrics Software which can help me to check the detailed logs of our users when our competitors tried to sue us and ruin our business.. My develper told me about datadog & he set it up for me and now my competitors are gone out from my system as we detected & catched them same day with Log Monitoring. Thanks to DataDog Log Management.
Datadog is extremely helpful with organizing and visualizing data and data events across our client base. It helps with the implementation and ongoing client lifecycle process with alerting tools
Would love to see more support and guidance from the datadog team when we are in the platform with a chat feature or a support feature. Most of my experience using Datadog has been excellent.
Datadog is very impactful in helping the implementation process to ensure that we're receiving data and data events in good health from client's websites. Alerting tools are always clutch in letting us be proactive with QA and implementing immediate fixes.
1. Comprehensive Monitoring 2. Easy to Use 3. Powerful Analytics 4. Integrations 5.Customizable Alerts
Steep Learning Curve: While the platform is generally easy to use, the learning curve for more advanced features is steep.
Datadog also helps our organisation optimise services performance by providing real-time visibility into application performance and infrastructure metrics. This allows our teams to quickly identify and resolve performance issues, improving the user experience and minimising business impact.