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Datadog Cloud Monitoring Quick Start Guide: Proactively create dashboards, write scripts, manage alerts, and monitor containers using Datadog
Learn Datadog to proactively monitor your infrastructure and cloud services
Datadog Cloud Monitoring Quick Start Guide: Proactively create dashboards, write scripts, manage alerts, and monitor containers using Datadog
Item #: 59366537

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

Item #: 59366537

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What Stands Out

Proactive Monitoring
Datadog enables users to proactively monitor cloud environments, ensuring issues are identified and resolved before they impact performance or availability, making it crucial for maintaining seamless operations.
Comprehensive Dashboards
Easily create customizable dashboards in Datadog, allowing for real-time visualization of monitoring metrics across various services, enhancing data insights and facilitating informed decision-making.
Alert Management
Datadog's advanced alert management capabilities help users efficiently track and address performance issues, reducing downtime and improving responsiveness, which is essential for maintaining optimal system health.

Product Details

Shop Datadog Cloud Monitoring Quick Start Guide: Proactively create dashboards, write scripts, manage alerts, and monitor containers using Datadog online at a best price in South Africa. 1800568738
  • A comprehensive guide to rolling out Datadog to monitor infrastructure and applications running in both cloud and datacenter environmentsKey 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 DescriptionDatadog 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 forThis 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.Table of ContentsIntroduction to MonitoringDatadog AgentDatadog DashboardAccount ManagementMetrics, Events and TagsMonitoring InfrastructureMonitors and AlertsIntegrating with Platform ComponentsUsing Datadog HTTP APIWorking with Monitoring StandardsIntegrating with DatadogAdvanced Container MonitoringLog Management using DatadogMiscellaneous Monitoring Features
Publisher Packt Publishing
Publication date June 25, 2021
Language English
Print length 318 pages
ISBN-10 1800568738
ISBN-13 978-1800568730
Item Weight 1.21 pounds (550 grams)
Dimensions 7.5 x 0.72 x 9.25 inches (19.1 x 1.8 x 23.5 cm)

Who Should Buy?

Suitable For
  • DevOps Engineers

    Ideal for DevOps engineers looking to streamline monitoring processes with Datadog's capabilities and create insightful dashboards.

  • System Administrators

    System administrators can leverage this guide to efficiently manage cloud infrastructure monitoring and ensure optimal system performance.

  • Data Analysts

    Data analysts will find value in creating dashboards and visualizations to analyze system performance and metrics effortlessly.

Not Suitable For
  • Casual Users

    Casual users may find the technical depth and setup complexity overwhelming and not suitable for basic monitoring needs.

  • Non-Technical Teams

    Non-technical teams lacking background in cloud infrastructure may struggle with understanding and utilizing Datadog effectively.

  • Small Businesses

    Small businesses might find the features overkill for their simple monitoring requirements and may prefer a more straightforward solution.

Product Description

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Client-Server Systems Editorial Review

  • ubuy South Africa

The Datadog Cloud Monitoring Quick Start Guide has received mixed reviews from customers. While some found the book helpful, well-written, and comprehensive in covering topics from basic monitoring to complex integrations and REST APIs, others were disappointed and felt the content did not offer anything beyond official documentation. Some customers even requested a refund and expressed dissatisfaction with the writing style, finding it boring and unhelpful in explaining Datadog and its capabilities. Despite the varying opinions, the book seems to serve as a useful resource for those looking to implement Datadog for monitoring purposes. It covers key topics and offers guidance on creating dashboards, writing scripts, managing alerts, and monitoring containers using Datadog.

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Pros

  • Comprehensive coverage of topics from basic monitoring to complex integrations and REST APIs
  • Helpful for anyone working on or planning to implement Datadog for monitoring

Cons

  • Mixed opinions on the writing style and overall value of the content

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