Datadog Cloud Monitoring Quick Start Guide: Proactively create dashboards, write scripts, manage alerts, and monitor containers using Datadog by Thomas Kurian Theakanath [EBOOK EPUB KINDLE PDF]. Size: 54,062 KB. Datadog Cloud Monitoring Quick Start Guide: Proactively create dashboards, write scripts, manage alerts, and monitor containers using Datadog Thomas Kurian Theakanath pdf.
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A comprehensive guide to rolling out Datadog to monitor infrastructure and applications running in both cloud and datacenter environments
Key Features
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
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Book ID Asin: B08PKVCLF3 Book Title: Datadog Cloud Monitoring Quick Start Guide: Proactively create dashboards, write scripts, manage alerts, and monitor containers using Datadog Book Author: Thomas Kurian Theakanath Book Format and Price: Book Format Name: Kindle Book Format Price: $18.49 Book Format Name: Paperback Book Format Price: $41.99 Book Price: $21.60 Book Category: Kindle Store, Kindle eBooks, Computers & Technology and unknown Book Rating: 23 ratings
Datadog Cloud Monitoring Quick Start Guide: Proactively create dashboards, write scripts, manage alerts, and monitor containers using Datadog by Thomas Kurian Theakanath Book Review
Name: Manoj Mathew Rating: 4.0 out of 5 stars Title: .0 out of 5 stars Good Content Date: Reviewed in the United States on July 19, 2021 Review: Coming from a background of architecting Enterprise Monitoring solutions from other vendors, I was a bit skeptical on what to expect from the only Datadog resource available on Amazon. Was pleasantly suprised on the well thought out content. The author details various advanced integration options that provides a launch pad to go into tons of detail documentation available on Datadog website.
Name: Ralph J. Langdon Rating: 3.0 out of 5 stars Title: .0 out of 5 stars Bougth the book but would not load on Kindle cloud reader Date: Reviewed in the United States on September 29, 2021 Review: Had to ask for my money back. Not the others fault, but I did want to warn others
Name: Arul Rating: 5.0 out of 5 stars Title: .0 out of 5 stars Must read for anyone working on Datadog Date: Reviewed in the United States on July 5, 2021 Review: This is a handy quick start guide for anyone working on or planning to implement Datadog for monitoring. The book covers all required topics from the basics of monitoring to complex topics like integrations and REST APIs.
Name: RagdeApoe Rating: 2.0 out of 5 stars Title: .0 out of 5 stars Just Ok, not really in depth Date: Reviewed in the United States on January 23, 2022 Review: The content is ok, but nothing really offered that you can’t find in official DD documentation
Name: Joe Lynch Rating: 5.0 out of 5 stars Title: .0 out of 5 stars Nice overview Date: Reviewed in the United States on September 18, 2021 Review: A very helpful book. Well-written and achieves the right balance between breadth and depth.
Name: Amazon Customer Rating: 5.0 out of 5 stars Title: .0 out of 5 stars A Concise DataDog Guide With Examples Focused On Ubuntu Linux, Containers, and AWS Services Date: Reviewed in the United States on June 26, 2021 Review: 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.
Name: Frank Teoh Rating: 5.0 out of 5 stars Title: .0 out of 5 stars The best quick start guide on DataDog Date: Reviewed in the United States on September 25, 2021 Review: This is the book to get if you want to quickly get up to speed on Datadog. Easy to follow. I first read this as an eBook from library, subsequently got a physical book.
Author did a great overview on monitoring: use cases for both data center and in the cloud; various monitoring terminology on host, agent, metrics, status, check, threshold, alrt, Event, incident, Runbook, etc.
Section 1 covers Getting started with DataDog: covers how to deploy, dashboard, account management. infra monitoring, metrics, events, tags, monitors and alerts. Section 2 extending datadog: intergration with platform components, DD REST API, Integration with DD. Section 3 covers advanced monitoring containers, managing DD.
Highly recommend for new DevOps, ProdEngr who are implementing DD.
I was able to get up to speed on DD in a weekend, and now working on advanced topics such as APM deep dive, screenboard, timeboard. monitoring at scale for tens of thousands of infra elements.
Name: Suresh Kumar Rating: 5.0 out of 5 stars Title: .0 out of 5 stars An excellent book to bootstrap and use Datadog in your datacenter Date: Reviewed in the United States on July 6, 2021 Review: The book is a good introduction to monitoring and observability strategies and techniques in operating a datacenter. The book covers all you need to run Datadog as a monitoring tool and understand the metrics you need to observe and the alerts you will have to create to operate your datacenter. The author has done an excellent job in structuring the contents of the book; contents are very clear and concise. I also like numerous examples for each of the use-cases while operating a datacenter. The section on using REST APIs and integrating Datadog with other platforms is an icing on the cake. This book is a good reference not only for novice users but also someone who have had experience in using Datadog in their datacenters.
