Datadog Reviews

We use Datadog to monitor all kinds of application metrics: errors, network stats, response times, queues, and a bunch of application-specific metrics. We also have alerts set up that notify us of changes in production application performance. We also get a lot of metrics "for free" from all kinds of third-party tools (e.g. ElasticSearch, GitHub, Heroku, Cloudflare, etc).

Datadog is an excellent infrastructure management tool. It provides a variety of tools for monitoring infrastructure and applications. It's APM tool offers a unique insight into application errors, while it's tracing can help with identifying hotspots and predicting growth in a variety of ways. It also provides an integrated log solution that aggregates and can map logs across applications and back to traces. It's up to date, with libraries and integrations for many tools and languages.

Our IT department uses Data Dog to monitor critical server uptime as well as switches and routers over SNMP. We also use the Data Dog API to write critical events for alerting and monitoring. We don’t currently use the application monitoring features, but I could see us using them in the future.

We had very complex monitoring requirements for APIs related to IoT and mobile app users. There were several different tools, no reliable results and we were losing credibility in the stability and reliability of our infrastructure. Also, all tools were very difficult to manage, implement and support, not to mention expensive.

Our DevOps team utilizes DataDog to be aware of any abnormalities across our infrastructure, whether hosted or local. We can look in one place to see stats and alarms across all infrastructure, independent of hosting provider's console. Being a software company, we can also send events to DataDog via their API to generate alerts for certain activity within our applications.

We use Datadog on almost all of our production systems to give us granularity into how systems are running, and additionally, use Datadog's logging feature to aggregate all of our logs across systems in real time. Datadog's simple dashboards enable visibility from different providers to be displayed all in one place, even if systems are not from the same vendor.

DataDog is currently being used by Wayfair's Monitoring, Network Ops, and Critical Incident teams to provide a variety of data to provision, manage and maintain the existing infrastructure for internal and external sites and applications. It is a critical input to how these teams identify, tag, and respond to alerts within the company. We use Datadog for the current day to day provisioning tasks and well as prior/after any maintenance.

The engineering/dev-ops teams use DataDog as the tool of choice for monitoring our applications/servers, and for aggregating logs. All of our applications and micro-services use the DataDog Rest API to send metrics to, so that we can monitor performance and CPU usage, and setup alerts in case any issues arise.

Datadog is currently used by the Operations departments (DevOps and ProdOps) to monitor application performance, create dashboards to analyze the performance in real time when trying to debug issues, and trigger alerts in situations where manual intervention is needed. As a cloud-centric product, Datadog fits well into the organization and has very low operational overhead.

Datadog is implemented as APM of choice for our organization at the platform level. Any team across the company opting to use the platform gets Datadog to gain insights into the platform with metrics like ELB, container & network stats, memory usage etc. This integration comes out of the box for the clients which they can use for monitoring their services

We are Premium MSP partner for AWS so our DevOps engineers, Managers user them, We also have a product for Cloud Management Platform where we are working on parsing information from Datadog to our SaaS platform to present monitoring data much graphically.

Datadog is being used in the whole company to monitor all the instances we have.
Used to be in private cloud and now it is used in AWS instances also.

It's being used by all engineers. We have scaled our e-commerce, and Datadog makes easier to look at each cluster. One great point of Datadog is how easy it is to identify an unhealthy box. Also, another great one, is to watch important metrics like CPU and memory. It's way easier to watch it on Datadog rather than AWS itself.

Datadog provides great visibility into how our server infrastructure is performing. There is support for a huge variety of integrations, pretty much any service you can think of has a supported integration. Our organization uses the dashboard functionality to get a quick view as to the current state of our environment. If there's a server or website issue, everyone hops onto Datadog to get a view as to what's happening.

Datadog helps us monitor our applications and ensure uptime. It is widely adopted by the entire engineering organization. When it comes to gathering performance metrics and tuning of our software applications, Datadog is just what we need. It ensures our infrastructure is highly available with fast and reliable services to our customers.

We use Datadog for monitoring our public cloud. We integrate it with some of the AWS components and monitor our instances on the cloud. It's a great solution for cloud-based monitoring with APIs.

Datadog is being used to pull variable information from an agent on each of our servers and sent to a centralized location so we have a one stop place to understand how well our servers and services are doing. It is being used by the operations team as well as developers. It addresses getting having to go many places to get the same information.