Datadog Operations And Monitoring Guide
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Datadog Operations And Monitoring Guide
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-05
Datadog Operations And Monitoring Guide written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-05 with Computers categories.
"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
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Author : Robert Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-01-27
The Datadog Handbook written by Robert Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-27 with Computers categories.
"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
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Author : Thomas Kurian Theakanath
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-06-25
Datadog Cloud Monitoring Quick Start Guide written by Thomas Kurian Theakanath and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-25 with Computers categories.
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.
Operational Monitoring With Datadog
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-05-28
Operational Monitoring With Datadog written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-28 with Computers categories.
"Operational Monitoring with Datadog" "Operational Monitoring with Datadog" is a comprehensive guide for technology professionals seeking mastery in observability and real-time monitoring in today’s complex, hybrid, and multi-cloud environments. The book begins by establishing the foundational principles of observability, unraveling the interplay of metrics, logs, traces, and events as the core pillars for gaining actionable insights into modern systems. Through detailed architectural overviews and strategic comparisons to other platforms, it empowers readers to evaluate Datadog’s unique capabilities and align them to a variety of operational and business needs, from site reliability engineering to security monitoring. Expertly organized, the book delves into advanced topics such as enterprise-grade agent deployment, secure configuration, and integration with cloud providers and on-premises environments. Readers will learn how to instrument infrastructure and applications for high-cardinality metrics, cost-effective data management, anomaly detection, and compliance-ready long-term retention. The chapters methodically cover centralized log collection, enrichment pipelines, and sophisticated indexing strategies—culminating in robust guidance for correlating observability data and driving incident response with precision. Beyond technical mastery, "Operational Monitoring with Datadog" addresses the critical dimensions of visualization, alerting, automation, and security. It reveals best practices in dashboarding, reporting, and governance, while providing deep insight into managing alert lifecycles, automating remediation, and integrating with wider IT and business processes. Discussions on role-based access control, sensitive data handling, and compliance automation ensure readers can scale Datadog securely within enterprise environments. With lessons on extensibility, infrastructure as code, and organizational scaling patterns, this guide is an indispensable resource for teams striving to transform their observability maturity and unlock the full potential of Datadog.
The Ai Engineer S Guide To Surviving The Eu Ai Act
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Author : Larysa Visengeriyeva
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-06-27
The Ai Engineer S Guide To Surviving The Eu Ai Act written by Larysa Visengeriyeva and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-27 with Business & Economics categories.
With the introduction of the EU AI Act, companies employing AI systems face a new set of comprehensive and stringent regulations. Dr. Larysa Visengeriyeva offers a much-needed guide for navigating these unfamiliar regulatory waters to help you meet compliance challenges with confidence. From explaining the legislative framework to sharing strategies for implementing robust MLOps and data governance practices, this wide-ranging book shows you the way to thrive, not just survive, under the EU AI Act. It's an indispensable tool for engineers, data scientists, and policymakers engaged in or planning for AI deployments within the EU. By reading, you'll gain: An in-depth understanding of the EU AI Act, including the four risk categories and what they mean for you Strategies for compliance, including practical approaches to achieving technical readiness Actionable advice on applying MLOps methodologies to ensure ongoing compliance Insights on the implications of the EU's pioneering approach to AI regulation and its global effects
Database Management Using Ai A Comprehensive Guide
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Author : A Purushotham Reddy
language : en
Publisher: A Purushotham Reddy
Release Date : 2024-10-20
Database Management Using Ai A Comprehensive Guide written by A Purushotham Reddy and has been published by A Purushotham Reddy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-20 with Computers categories.
Database Management Using AI: The Ultimate Guide for Data Professionals Database Management Using AI: A Comprehensive Guide is an essential resource for anyone eager to explore how artificial intelligence (AI) is revolutionizing the field of database management. This book caters to a wide audience, from database administrators, data scientists, and tech enthusiasts to professionals looking to integrate AI into their data management practices. It offers a professional yet easily understandable exploration of how AI is transforming modern data systems. The guide starts by laying a solid foundation in database management fundamentals, covering key concepts such as data models, SQL, and database design principles. It then delves into how AI can optimize database performance, enhance security, and automate complex tasks like data retrieval, query optimization, and schema design. With this book, readers will gain deep insights into integrating AI with traditional database systems and how AI tools are shaping the future of data management. Unlike other books that focus purely on theory, this guide stands out by emphasizing real-world applications. Through practical case studies, it demonstrates how AI-driven database systems are being leveraged across industries such as e-commerce, healthcare, finance, and logistics. These case studies show the real-world impact of AI, helping businesses increase efficiency, reduce errors, and make smarter, data-backed decisions. The book illustrates how AI is enabling organizations to stay ahead in a competitive market by harnessing the power of intelligent database management. Throughout the guide, readers will learn about the evolution of database systems, including the shift from relational databases to modern NoSQL databases, and how AI is enhancing traditional database models to meet the demands of the digital age. The book explores how AI integration in databases is transforming how data is processed and analyzed, automating repetitive tasks and improving the scalability and performance of databases. One of the key highlights of this book is the coverage of AI in database management. Readers will learn how AI is being used to automate routine database tasks, improve security by predicting and mitigating threats, and streamline database management operations through automation. Additionally, the book delves into how AI helps in predictive analytics and data mining, uncovering hidden patterns and enabling organizations to make accurate predictions based on large volumes of data. The book also covers predictive analytics and data mining, teaching readers how AI tools can be used to extract valuable insights from data, identify trends, and uncover business opportunities that were previously hard to detect. By understanding how AI can leverage data to drive business intelligence, readers will be able to implement AI-driven solutions that improve decision-making processes. Furthermore, this guide explores the future of database management with AI. It takes a close look at emerging trends, including autonomous databases and the growing role of cloud-based AI solutions in shaping the future of data management. These innovative technologies are creating intelligent, self-managing databases that are poised to revolutionize how data is stored, processed, and analyzed. Database Management Using AI provides readers with the knowledge and practical skills needed to navigate the fast-evolving landscape of AI-powered databases. Whether you're an industry professional or a student, this book is packed with actionable insights that will keep you ahead in the digital world. It’s a must-have resource for anyone looking to understand the practical impact of AI on database systems and harness the power of machine learning, big data, and cloud computing to transform their approach to data management. With its combination of clear explanations, real-world case studies, and forward-looking insights, this book is the ultimate guide for anyone wanting to stay competitive in the digital age. Database Management Using AI is more than just a book—it's an essential tool for anyone serious about mastering the future of data systems. Refer www.latest2all.com for details...
Complete Guide To Open Source Big Data Stack
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Author : Michael Frampton
language : en
Publisher: Apress
Release Date : 2018-01-18
Complete Guide To Open Source Big Data Stack written by Michael Frampton and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-18 with Computers categories.
See a Mesos-based big data stack created and the components used. You will use currently available Apache full and incubating systems. The components are introduced by example and you learn how they work together. In the Complete Guide to Open Source Big Data Stack, the author begins by creating a private cloud and then installs and examines Apache Brooklyn. After that, he uses each chapter to introduce one piece of the big data stack—sharing how to source the software and how to install it. You learn by simple example, step by step and chapter by chapter, as a real big data stack is created. The book concentrates on Apache-based systems and shares detailed examples of cloud storage, release management, resource management, processing, queuing, frameworks, data visualization, and more. What You’ll Learn Install a private cloud onto the local cluster using Apache cloud stack Source, install, and configure Apache: Brooklyn, Mesos, Kafka, and Zeppelin See how Brooklyn can be used to install Mule ESB on a cluster and Cassandra in the cloud Install and use DCOS for big data processing Use Apache Spark for big data stack data processing Who This Book Is For Developers, architects, IT project managers, database administrators, and others charged with developing or supporting a big data system. It is also for anyone interested in Hadoop or big data, and those experiencing problems with data size.
Aws Certified Operational Excellence
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date :
Aws Certified Operational Excellence written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on with Study Aids categories.
Welcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cutting-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com
Generative Ai For Cloud Solutions
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Author : Paul Singh
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-04-22
Generative Ai For Cloud Solutions written by Paul Singh and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-22 with Computers categories.
Explore Generative AI, the engine behind ChatGPT, and delve into topics like LLM-infused frameworks, autonomous agents, and responsible innovation, to gain valuable insights into the future of AI Key Features Gain foundational GenAI knowledge and understand how to scale GenAI/ChatGPT in the cloud Understand advanced techniques for customizing LLMs for organizations via fine-tuning, prompt engineering, and responsible AI Peek into the future to explore emerging trends like multimodal AI and autonomous agents Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionGenerative artificial intelligence technologies and services, including ChatGPT, are transforming our work, life, and communication landscapes. To thrive in this new era, harnessing the full potential of these technologies is crucial. Generative AI for Cloud Solutions is a comprehensive guide to understanding and using Generative AI within cloud platforms. This book covers the basics of cloud computing and Generative AI/ChatGPT, addressing scaling strategies and security concerns. With its help, you’ll be able to apply responsible AI practices and other methods such as fine-tuning, RAG, autonomous agents, LLMOps, and Assistants APIs. As you progress, you’ll learn how to design and implement secure and scalable ChatGPT solutions on the cloud, while also gaining insights into the foundations of building conversational AI, such as chatbots. This process will help you customize your AI applications to suit your specific requirements. By the end of this book, you’ll have gained a solid understanding of the capabilities of Generative AI and cloud computing, empowering you to develop efficient and ethical AI solutions for a variety of applications and services.What you will learn Get started with the essentials of generative AI, LLMs, and ChatGPT, and understand how they function together Understand how we started applying NLP to concepts like transformers Grasp the process of fine-tuning and developing apps based on RAG Explore effective prompt engineering strategies Acquire insights into the app development frameworks and lifecycles of LLMs, including important aspects of LLMOps, autonomous agents, and Assistants APIs Discover how to scale and secure GenAI systems, while understanding the principles of responsible AI Who this book is for This artificial intelligence book is for aspiring cloud architects, data analysts, cloud developers, data scientists, AI researchers, technical business leaders, and technology evangelists looking to understanding the interplay between GenAI and cloud computing. Some chapters provide a broad overview of GenAI, which are suitable for readers with basic to no prior AI experience, aspiring to harness AI's potential. Other chapters delve into technical concepts that require intermediate data and AI skills. A basic understanding of a cloud ecosystem is required to get the most out of this book.
Databricks Service Guide
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Author : Diego Rodrigues
language : en
Publisher: Diego Rodrigues
Release Date : 2024-10-16
Databricks Service Guide written by Diego Rodrigues and has been published by Diego Rodrigues this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-16 with Computers categories.
Discover the power of data analysis and machine learning with the "DATABRICKS SERVICES GUIDE: From Fundamentals to Practical Applications." This book is an essential reference for data engineers, data scientists, and developers seeking to master the Databricks platform, one of the most advanced solutions for big data and artificial intelligence. Written by Diego Rodrigues, an internationally recognized author with vast experience in technology, this guide offers a comprehensive view of the main services of Databricks. From initial setup to advanced solutions implementation, each chapter is designed to provide clear and detailed instructions, enabling you to immediately apply the knowledge acquired in your projects. The "DATABRICKS SERVICES GUIDE" covers fundamental topics such as Databricks Workspace, Delta Lake, Data Engineering, Machine Learning, and much more. This book is ideal for both beginners who seek a solid foundation and experienced professionals who want to deepen their skills and explore the advanced capabilities of Databricks. This guide has been designed to be a practical and accessible tool, facilitating the understanding of concepts and the application of best practices in production environments. With practical examples and a structured approach, you will be ready to face technological challenges and implement scalable and secure solutions with Databricks. Tags: Databricks big data machine learning engineering Delta Lake processing analysis Apache Spark notebooks clusters integration pipelines automation cloud storage security data compliance GDPR lgpd engineering transformation SQL real-time API data governance data orchestration data integration Power BI Tableau CI/CD cluster management performance monitoring logs data optimization WAF Databricks File System DBFS cloud computing data science Python Scala R artificial intelligence machine learning workflow scalability efficiency encryption automation DevOps S3 Lambda Glue Kafka Kubernetes Hadoop continuous integration continuous delivery security compliance AWS Microsoft Azure Google IBM Alibaba Diego Rodrigues