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Introduction

Gaining visibility into highly dynamic, hybrid cloud applications running at scale requires a very broad set of capabilities. Datadog addresses this by combining what it terms "the three pillars of observability", supporting traces, system metrics, and logs in a single SaaS-based platform.

Highlights

  • Datadog increases collaboration across teams by unifying the monitoring in a single pane of glass. The platform has a self-service interface and integration with complementary tools providing real-time visibility and intelligent alerting to aid the debugging of issues.

Features and Benefits

  • Learn about how Datadog Watchdog automates monitoring by using machine learning to alert on anomalies, outliers, trends, and other noteworthy patterns in the various data and metric streams.
  • Assess how APM should be done in a DevOps, cloud-native environment.

Key questions answered

  • How is Datadog offered as a solution?
  • Which public clouds, private clouds, and PaaS are supported by Datadog?

Table of contents

Summary

  • Catalyst
  • Key messages
  • Ovum view

Highlights

  • Background
  • Current position

Data sheet

  • Key facts

Appendix

  • On the Radar
  • Authors