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

Monitoring Kubernetes

Docker can be used for both packaging and running microservices, and you have seen examples of that in the previous section. However, that is only one of the packaging solutions available for microservices. Kubernetes is a platform for running microservices that are packaged using tools such as Docker. It provides a vast number of features to orchestrate and maintain the deployment of a microservices-based software system. Practically, it can be considered an operating system for microservices.

Kubernetes environments can be set up on a wide variety of infrastructures, starting from your laptop for testing purposes through clusters of several machines in a data center. However, the most popular option to run Kubernetes is using the managed services available on public cloud platforms such as Elastic Kubernetes Service (EKS) on AWS, Google Kubernetes Engine (GKE), and Azure Container Service (AKS). Regardless of the underlying infrastructure, Kubernetes can...