Datadog Operations And Monitoring Guide
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DataDog Operations and Monitoring Guide
"DataDog Operations and Monitoring Guide" The "DataDog Operations and Monitoring Guide" is a comprehensive resource designed to empower engineers, architects, and site reliability teams with the advanced knowledge required to master modern observability in distributed environments. Beginning with the essential foundations of observability and DataDog’s architectural underpinnings, the guide explores the vital principles, agent internals, security frameworks, and operational SLAs that are crucial for building reliable and scalable monitoring solutions across hybrid and multi-cloud landscapes. It provides readers with practical strategies for deploying DataDog at scale while upholding privacy, compliance, and high-performance standards. Delving into advanced data collection and integration patterns, the guide delivers real-world best practices for custom instrumentation, seamless cloud provider integrations, dynamic service discovery, and the secure handling of configurations and secrets. Readers are equipped to monitor complex infrastructures—spanning Kubernetes, containers, edge, legacy systems, and large-scale storage—while optimizing resources and automating remediation. In-depth chapters on application performance monitoring, distributed tracing, synthetic monitoring, log analytics, and visualization offer actionable insights for correlating metrics, traces, and logs, positioning teams to quickly pinpoint root causes and enhance the end-user experience. Further, the book addresses contemporary challenges in incident response automation, alerting, and continuous improvement through workflows tightly integrated with incident management, ChatOps, and automated playbooks. Security and compliance are spotlighted with dedicated coverage on cloud posture monitoring, policy enforcement, and threat detection. Finally, for organizations seeking to future-proof their observability practice, the guide examines scaling strategies, governance, cost optimization, disaster recovery, and emerging trends such as AI-driven anomaly detection, ensuring that both the technology and the teams behind it are ready for the most demanding operational environments.
The Datadog Handbook
"The Datadog Handbook: A Guide to Monitoring, Metrics, and Tracing" is an authoritative resource for IT professionals, developers, and system administrators seeking to optimize their operational environments. This comprehensive guide delves into the intricacies of Datadog, exploring its powerful capabilities in monitoring, analytics, and performance management. From foundational setup to advanced monitoring techniques, the book offers detailed insights into utilizing Datadog to its fullest potential. Structured to serve both beginners and seasoned users, the handbook covers essential topics such as metrics and monitoring, log management, and application performance tracing. It extends into specialized areas like security, compliance, integrations, and scaling, providing strategic guidance and practical solutions. With a focus on real-world applications, "The Datadog Handbook" equips readers with the knowledge to implement robust, scalable, and efficient systems monitoring processes, ensuring top-tier performance and reliability in modern IT infrastructures.
Datadog Cloud Monitoring Quick Start Guide
Author: Thomas Kurian Theakanath
language: en
Publisher: Packt Publishing Ltd
Release Date: 2021-06-25
A comprehensive guide to rolling out Datadog to monitor infrastructure and applications running in both cloud and datacenter environments Key FeaturesLearn Datadog to proactively monitor your infrastructure and cloud servicesUse Datadog as a platform for aggregating monitoring efforts in your organizationLeverage Datadog's alerting service to implement on-call and site reliability engineering (SRE) processesBook 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. What you will learnUnderstand monitoring fundamentals, including metrics, monitors, alerts, and thresholdsImplement core monitoring requirements using Datadog featuresExplore Datadog's integration with cloud platforms and toolsExtend Datadog using custom scripting and standards such as JMX and StatsDDiscover how proactive monitoring can be rolled out using various Datadog featuresUnderstand how Datadog can be used to monitor microservices in both Docker and Kubernetes environmentsGet to grips with advanced Datadog features such as APM and Security MonitoringWho this book is 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.