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

Using Live Containers

Live Containers is a Datadog feature that provides insights into the workings of live containers. As you know, Kubernetes has become an industry standard for orchestrating containers, and that is not limited to Docker. Docker is only one of the tools available to package and run microservices. Though Docker is still the dominant containerization platform, there are tools like CoreOS rkt that could be used with Kubernetes, and this trend has gained momentum.

Kubernetes is a complex platform and so monitoring the Kubernetes platform itself, besides the containers it runs, is also equally important. Though native applications such as Kubernetes Dashboard are the tools of choice for monitoring a Kubernetes cluster manually, Datadog's platform monitoring features help to consolidate monitoring on one platform and to automate it.

When a Kubernetes cluster is fully configured for the Datadog Agent to publish both cluster-level and application-level information...