description Datadog Stack Overview
The Datadog stack is a collection of cloud-based observability and security services developed by Datadog, a company founded in New York in 2010. Its platform collects and correlates infrastructure metrics, application traces, logs, user-experience signals, and other telemetry through integrations and installed agents. It is used primarily by software, operations, security, and reliability teams that need to monitor distributed applications and investigate behavior across cloud and on-premises systems.
help Datadog Stack FAQ
What services are included in the Datadog stack?
The Datadog stack encompasses cloud-based observability and security services, including infrastructure monitoring, application performance management (APM), and log management. It correlates metrics, traces, and logs to provide a unified view of a system's health.
How does Datadog collect infrastructure metrics?
Datadog collects metrics by deploying a lightweight agent on cloud servers, containers, or local machines. This agent gathers data from integrations with platforms like AWS, Kubernetes, and databases, sending the telemetry to the Datadog cloud for processing.
When was Datadog founded and where is it based?
Datadog was founded in 2010 and is headquartered in New York. It has since grown into a major public company listed on the NASDAQ stock exchange under the ticker symbol DDOG.
Does the Datadog platform support real-user monitoring?
Yes, Datadog includes Real User Monitoring (RUM) capabilities to track the performance of web and mobile applications from the end user's perspective. This feature captures frontend telemetry, such as page load times and errors, alongside backend infrastructure data.
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