Book Image

Datadog Cloud Monitoring Quick Start Guide

By : Thomas Kurian Theakanath
Book Image

Datadog Cloud Monitoring Quick Start Guide

By: Thomas Kurian Theakanath

Overview of this book

Datadog is an essential cloud monitoring and operational analytics tool which enables the monitoring of servers, virtual machines, containers, databases, third-party tools, and application services. IT and DevOps teams can easily leverage Datadog to monitor infrastructure and cloud services, and this book will show you how. The book starts by describing basic monitoring concepts and types of monitoring that are rolled out in a large-scale IT production engineering environment. Moving on, the book covers how standard monitoring features are implemented on the Datadog platform and how they can be rolled out in a real-world production environment. As you advance, you'll discover how Datadog is integrated with popular software components that are used to build cloud platforms. The book also provides details on how to use monitoring standards such as Java Management Extensions (JMX) and StatsD to extend the Datadog platform. Finally, you'll get to grips with monitoring fundamentals, learn how monitoring can be rolled out using Datadog proactively, and find out how to extend and customize the Datadog platform. By the end of this Datadog book, you will have gained the skills needed to monitor your cloud infrastructure and the software applications running on it using Datadog.
Table of Contents (19 chapters)
Section 1: Getting Started with Datadog
Section 2: Extending Datadog
Section 3: Advanced Monitoring

Chapter 13: Managing Logs Using Datadog

The logs generated by the operating system, the various platform components, and the application services contain a lot of information regarding the state of the infrastructure as well as the workings of the applications running on it. Managing all logs at a central repository and analyzing that for operational insights and monitoring purposes is an important area in monitoring. It usually involves the collection, aggregation, and indexing of logs. In Chapter 1, Introduction to Monitoring, this monitoring type was briefly discussed. In Chapter 12, Monitoring Containers, you learned how logs from containers are published to Datadog for aggregation and indexing for facilitating searches.

Some of the popular monitoring product offerings in this area are ELK Stack (Elasticsearch, Logstash, and Kibana), Splunk, and Sumo Logic. Now, Datadog also provides this feature and you have seen Log Explorer, a frontend to that feature, in the last chapter...