2018-12-04T07:57:00Z

What is your primary use case for Datadog?


How do you or your organization use this solution?

Please share with us so that your peers can learn from your experiences.

Thank you!

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2323 Answers

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Top 5Real User

I implement this solution for clients.

2021-04-01T09:42:54Z
author avatar
Top 10Reseller

Our clients use it for monitoring applications. Its deployment depends on our customer's use case. It is 100% cloud. We have got a multi-tenant environment, so we segment it out.

2021-03-29T17:00:07Z
author avatar
Top 5Real User

We deploy agents on-premise to collect data on on-premise VM instances. We don't use Datadog in our cloud network. We do have some Cloud apps that we have it on and we also have Containers. We have it on their headquarters, the main software for them is on their own Cloud. Eventually, we're building out the process now and using it better. We plan to use Datadog for root cause analysis relating to any kinds of issues we have with software, with applications going down, latency issues, connection issues, etc. Eventually, we're going to use Datadog for application performance, monitoring, and management. To be proactive around thresholds, alerts, bottlenecks, etc. Our developers and QA teams use this solution. They use it to analyze network traffic, load, CPU load, CPU usage, and then Tracey NPM, API calls for their application. There are roughly 100 users right now. Maybe there's 200 total, but on a given day, maybe 13 people using this solution.

2021-02-19T21:40:43Z
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Top 10Real User

We primarily use Datadog for logs, APM, infrastructure monitoring, and lambda visibility. We have built a number of critical dashboards that we display within our office for engineers to have a good understanding of the application performance, as well as business partners to understand at a high level the traffic flowing through the app. We started with logging, as our primary monitor, and have shifted to APM to get a deeper understanding of what our system is doing, and how the changes we are making impact the apps.

2021-01-25T19:36:00Z
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Top 10Vendor

We primarily use DataDog for performance and log monitoring of cloud environments, which include VMs and Azure Services like Azure compute, storage, network, firewall, and app services via event hubs. Alerting based on monitors via teams and PagerDuty. Logs collection for Azure services like Azure database, Azure Application Gateway, Azure AKS, and other Azure services. Custom metrics using a Python script to collect metrics for components not natively supported by Datadog. Synthetic testing to ensure uptime and browser tests via CI/CD pipeline.

2021-01-21T08:05:00Z
author avatar
Top 20Real User

We use Datadog as a monitoring platform to achieve visibility into our container environments. Almost all of our workloads are containerized and with DataDog, we are able to get metrics, logs, alerts, and events about all the containers that we are running. Our developers also extensively use APM to find and diagnose performance issues that might appear. We use Terraform to automatically create all of the necessary monitors and dashboards that our developers need to make sure that our level of service is sufficient.

2021-01-12T13:50:00Z
author avatar
Top 20Real User

We primarily use this product for availability and performance monitoring, log aggregation.

2020-12-31T20:21:00Z
author avatar
Top 20Real User

We primarily use Datadog for the monitoring of EC2 and ECS containers running mostly Rails applications that host a SaaS product. We also monitor ElasticSearch and RDS, and we are working on adding their Application Performance Monitoring solution to monitor our applications directly. We use DataDog to create dashboards, graphs, and alerts based on interesting metrics. DataDog is our first place to look to find the performance of our system. We also use their logging platform and it works well. Especially useful is that the logs and metrics are tightly integrated so you can jump between them easily.

2020-12-29T18:59:00Z
author avatar
Top 10Real User

Our primary use of Datadog includes: * Keeping a close look into our AWS resources. Monitoring our multiple RDS and ElastiCache instances play a big role in our indicators. * Kubernetes. We aren't using all of the available Kubernetes integrations but the few of them that work out of the box adds great value to our metrics. * Monitoring and alerting. We wired our most relevant monitoring and alerts to services like PagerDuty, and for the rest of them, we keep our engineers up to date with constant Slack updates.

2020-12-22T19:31:00Z
author avatar
Top 10Real User

We were in need of a cloud monitoring tool that was operationally focused on the AWS Platform. We wanted to be able to responsibly and effectively monitor, troubleshoot, and operate the AWS platform, including Server, Network, and key AWS Services. Tooling that highlighted and detected problems, anomalies, and provided best practice recommendations. Tooling that expedites root-cause analysis and performance troubleshooting. Datadog provided us the ability to monitor our cloud infrastructure (network, servers, storage), platform/middleware (database, web/applications servers, business process automation), and business applications across our cloud providers.

2020-12-20T15:30:00Z
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Top 5LeaderboardReal User

We use Datadog for application monitor, to help identify errors. It is also used to monitor application performance.

2020-11-25T16:41:00Z
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Top 10Real User

I'm a senior cloud security engineer and we are customers of Datadog.

2020-10-21T04:33:58Z
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Top 5Real User

We used Datadog to capture the salvatory of our AWS fleet of around 1,200 servers.

2020-09-06T08:04:00Z
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Real User

We are a solution provider and Datadog is one of the products that I was working on with one of my clients. They are currently evaluating it for use in cloud monitoring. Specifically, Datadog is used for monitoring cloud applications in terms of performance. The logs come into this solution from AWS and it provides dashboards for various environments.

2020-05-18T07:50:13Z
author avatar
Real User

* Monitoring * Analytics * Tracing * APM

2018-12-11T08:31:00Z
author avatar
Real User

If our app is up and running, we use it to monitor how many credits the app is using up on each node. We also monitor services by how long each call is taking with the help of EC2s off of application.

2018-12-11T08:31:00Z
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Real User

We use it for notifications, alerting, and capturing most of the information from Amazon, such as EC2 instances.

2018-12-11T08:31:00Z
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Top 20Real User

The primary use case is application monitoring. We also use it set custom metrics and watch our AWS metrics, as well as data. At my current job, I have only use it a couple months. However, I used it for a few years at a previous company.

2018-12-11T08:31:00Z
author avatar
PopularMSP

We are using the infrastructure and app monitoring side, such as process monitoring. We are using it in a very traditional way. We are not using the APM capabilities. When it comes to something like containers, we will generally use it on the host but not inside the container itself. We are using it with our customers and in-house day-to-day.

2018-12-11T08:31:00Z
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Real User

We mainly use it to send metrics about CV and memory usage, in addition to the number of files descriptors on a socket.

2018-12-11T08:30:00Z
author avatar
Real User

We use it to monitor our infrastructure, particularly our different EC2 instances, and our containers. We also use it to capture our logs.

2018-12-11T08:30:00Z
author avatar
Vendor

We use it to store editorial content. We started out on the on-premise version, then moved to the AWS version.

2018-12-09T08:34:00Z
author avatar
Real User

We use it for custom metrics of our applications and monitoring of our systems.

2018-12-04T07:57:00Z
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