What is Datadog?

[DevOpsSchool]

Datadog is a monitoring and analytics platform for large-scale applications and infrastructure. It provides a SaaS-based data analytics platform that enables developers, IT operations teams, and business users to understand the performance of their applications and infrastructure through data visualization, dashboards, alerting, and machine learning.

Key features of Datadog include:

1. Real-time Performance Monitoring: Datadog allows teams to see inside any stack, any app, at any scale, anywhere.
2. Full-stack Observability: It offers the ability to monitor servers, containers, databases, and services through a SaaS-based data analytics platform.
3. Integration: Datadog integrates with hundreds of services and systems, providing out-of-the-box support for various technologies including cloud services, databases, and messaging queues.
4. Customizable Dashboards: Users can create and customize dashboards to display relevant monitoring data for their systems.
5. Alerting: Datadog provides alerting tools that can notify teams of issues or anomalies detected in their systems.
6. Log Management: It provides log management capabilities that enable teams to aggregate, search, and analyze logs across their entire stack.
7. APM & Continuous Profiler: Datadog’s Application Performance Monitoring (APM) helps in tracing requests across service boundaries and provides a profiler to optimize the performance of code.
8. Synthetic Monitoring: This feature allows you to simulate and test user interactions with your applications, helping you to understand the user experience.
9. Security Monitoring: Datadog also includes security monitoring features to detect threats to applications and infrastructure in real-time.
10. Collaboration: It offers collaboration features that enable teams to share insights and data within the organization.

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