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What is Datadog? – Definition, Description, Types, And More
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What is Datadog? – Definition, Description, Types, And More

Definition Datadog

Datadog is an IT monitoring, operations, and team development service. It writes and runs applications at scale and wants to convert the vast amounts of data generated by their applications, tools, and services into practical knowledge.

Also read: What is Nanobots? – Definition, Uses, Types, History And More

Product description

Build interactive dashboards in real-time,

More than summary panels, Datadog offers all high-resolution metrics and graphing and manipulation events. It allows you to view graphs on all sources in real-time. Divide data by host, device, or any other tag, query. Computation rates, proportions, averages, or integrals, and easily customize displays, interactively, or in code.

Share what you saw, write what you do

System events and metrics are only part of the story. Datadog gives visibility to teams so you can discuss issues in the context of production data, note changes and notify your team, see who responded to that alert earlier, remember what you need to correct it, and add your data together. You just need to install agents and also cloud integrations to bring metrics and events from your cloud and services in one place.

Generate dashboards in real-time

Graph and interact with metrics and events of concern, correlate metrics and also events, search all event sources, and overlay metrics, events on systems with ease. Share what you see with your team and remember what you do.

Works with on-premises and cloud deployments

Get a unique on-premise and cloud view with your head in the clouds and your feet on the ground. Datadog works with the existing infrastructure. Learn more about on-premises servers and maintain your existing monitoring tools.

You can easily track highly flexible cloud deployments, mix and match SaaS tools and view them in Datadog. Aggregate metrics and events seamlessly across full development with SaaS. And cloud providers, automation, monitoring, and also instrumentation tools, source control and error tracking, common databases, and also server components. As well as research and correlation of metrics and events.

The software supports a structured full-text search on all the event data it integrates. Allowing you to overlay metrics and events through different sources. See who did what, in the current context.

Also read: What is OLAP? – Definition, Processing, Types, And More

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