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Key benefits

Learn Datadog to proactively monitor your infrastructure and cloud services

Use Datadog as a platform for aggregating monitoring efforts in your organization

Leverage Datadog's alerting service to implement on-call and site reliability engineering (SRE) processes

Description

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.

Who is this book for?

This book is for DevOps engineers, site reliability engineers (SREs), IT Production engineers, software developers and architects, cloud engineers, system administrators, and anyone looking to monitor and visualize their infrastructure and applications with Datadog. Basic working knowledge of cloud and infrastructure is useful. Working experience of Linux distribution and some scripting knowledge is required to fully take advantage of the material provided in the book.

What you will learn

Understand monitoring fundamentals, including metrics, monitors, alerts, and thresholds

Implement core monitoring requirements using Datadog features

Explore Datadog s integration with cloud platforms and tools

Extend Datadog using custom scripting and standards such as JMX and StatsD

Discover how proactive monitoring can be rolled out using various Datadog features

Understand how Datadog can be used to monitor microservices in both Docker and Kubernetes environments

Get to grips with advanced Datadog features such as APM and Security Monitoring

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

Datadog Cloud Monitoring Quick Start Guide

$43.99

$69.99

$64.99

Total $ 178.97

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Amazon verified reviews

Chien-Hua W. Oct 05, 2021

If you’re new to cloud monitoring, then you should have this book. If you’re learning Datadog, then you must read this one.This book provide very clear and detail example with step by step to guide you, and it also cover plenty of key elements in cloud computing, and knowledge about data center related.I self-study to learn Datadog the monitoring tools that widely used by Devops, SRE in techs, this book really helps me to gain the knowledge on cloud monitoring. The way it describes the tech terms is easily to understand and pick up. I really recommend to study this book for Datadog.

Amazon Verified review

Amazon Customer Jul 30, 2021

The book is a good starting to monitoring and observability using DataDog. it covers everything that you need to setup and configure Datadog. it also covers use cases, Types of monitoring, Best practices of Monitoring with labs and examples in details.Well written, formatted and organized contains. easy to ready.

Isaac Sep 16, 2021

From concept to how-to, I find every best practices my cloud operations team can quickly apply without reinvent the wheel.

Amazon Customer Jun 26, 2021

Disclaimer: I am a Senior DevOps professional having 4 years experience with DataDog on a large scale AWS hosted application. I received a copy of this book for evaluation.Monitoring is a very complex but absolutely critical part of any commercial SaaS product success. In almost all cases it will be time and cost effective to choose a monitoring and logging solution over building one in-house. Furthermore, with the shortage of SREs' time, it is often best to use a service such as DataDog rather than managing your own open-sourced monitoring solution.This book starts with the fundamentals of modern application monitoring and a brief description of the various commercial and open-source solutions that are available. It then covers the implementation of DataDog with a primary focus on agent configuration in Ubuntu Linux, docker and Kubernetes. With that in mind, it does that very well and offers best practices.The various areas of monitoring are covered including integrations for infrastructure, containers, APM, and synthetics. Metrics, events and tags come together in alerts, graphs and dashboards. And these are areas where DataDog really shines.There is one chapter briefly dedicated to logs. Logging is a huge topic in itself and this guide quickly describes implementation of log collection and some of the more powerful features such as using DataDog to extract metrics from unstructured logs.Notably missing from this quick start guide is a discussion of DataDog's pricing models, estimating and controlling costs of the service. DataDog has a free tier and when combined with this quick start guide anyone could do a hands on evaluation of DataDog using an Ubuntu VM.The author recommends this guide for DevOps engineers, SREs, IT production engineers and System Administrators. I would extend that to include Software Architects, Cloud Architects, and Application Developers. In particular, "full stack" developers would benefit greatly. Again the examples are given for Ubuntu Linux, Docker, and Kubernetes. If you are using for example Windows on Azure, I would not recommend this guide.Overall, this quick start guide packs a huge amount of knowledge into just over 200 pages. There is a logical progression from basic monitoring concepts and terminology to the more advanced topics. If you are thinking of using or evaluating DataDog or if your organization is already using it and you need to ramp up quickly, this guide is for you.

David Huang Oct 15, 2021

The book is a great way for teams to get started on Datadog. It's something I'm recommending to my teams who are unfamiliar with DD, and gets everyone on the same page quickly.

Datadog Cloud Monitoring Quick Start Guide: Proactively create dashboards, write scripts, manage alerts, and monitor containers using Datadog

What do you get with eBook?