Datadog Cloud Monitoring Quick Start Guide

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.

Transitioning to DevOps requires a change in culture and mindset. At its simplest, DevOps is about removing the barriers between two traditionally siloed teams, development, and operations. In some organizations, there may not even be separate development and operations teams; engineers may do both. With DevOps, the two teams work together to optimize both the productivity of developers and the reliability of operations. They strive to communicate frequently, increase efficiencies, and improve the quality of services they provide to customers. They take full ownership for their services, often beyond where their stated roles or titles have traditionally been scoped by thinking about the end customer’s needs and how they can contribute to meeting those needs. Quality assurance and security teams may also become tightly integrated within these teams. Organizations using a DevOps model, regardless of their organizational structure, have teams that view the entire development and infrastructure lifecycle as part of their responsibilities. In this book, we introduce the DevOps culture, and the tools and techniques under this technical cultural umbrella. We explain microservice, containers, Docker Container, Kubernetes, etc., and the significance of these in adopting the DevOps culture for successful software development.

A comprehensive guide to Multi-Cloud Administration for Cloud professionals KEY FEATURES ● Get familiar with the various components involved in establishing a multi-cloud architecture. ● Acquire the skills to effectively manage multi-cloud environments. ● Establish guardrails and guidelines to ensure interoperability and security across multiple cloud platforms. DESCRIPTION In today's landscape, organizations are embracing multi-cloud strategies to harness the advantages offered by multiple cloud providers. If you want to develop the necessary skills and expertise in managing multi-cloud environments, then this book is tailor-made for you. This is a comprehensive guide that equips you with the knowledge and skills needed to manage multiple cloud environments effectively. The book begins by exploring the Cloud Adoption Frameworks, providing a solid foundation for understanding multi-cloud strategies. It then covers topics such as virtualizing and managing connectivity, storage, and compute resources across different clouds. The book also discusses creating interoperability, managing data in a multi-cloud environment, and building and operating cloud-native applications. Lastly, it covers containerization, serverless computing, access management, security, and automating compliance. By the end of the book, you will be equipped with the necessary knowledge and skills to confidently navigate the complexities of multi-cloud administration. WHAT YOU WILL LEARN ● Gain expertise in efficiently managing applications, data, and environments within multi-cloud platforms. ● Familiarize yourself with the setup and management of cloud-native technologies. ● Learn how to implement robust security measures for cloud platforms. ● Understand the importance of maintaining compliance and adhering to regulatory standards. ● Develop strategies for achieving seamless interoperability in a multi-cloud environment. WHO THIS BOOK IS FOR This book is for cloud architects, system architects, solution architects, cloud admins and cloud professionals. Having a basic understanding of cloud technology and IT infrastructure would be an added advantage. TABLE OF CONTENTS 1. Using the Cloud Adoption Frameworks 2. Virtualizing and Managing Connectivity 3. Virtualizing and Managing Storage 4. Virtualizing and Managing Compute 5. Creating Interoperability 6. Managing Data in Multi-Cloud 7. Build and Operate Cloud Native 8. Building Agnostic with Containers 9. Building and Managing Serverless 10. Managing Access Management 11. Managing Security 12. Automating Compliancy

Get the knowledge and skills you need to become a certified Google Cloud Developer KEY FEATURES ● Learn everything you need to know about the Google Professional Cloud Developer exam and its objectives. ● Explore the different services GCP offers, such as Compute Engine, Cloud Storage, and Cloud SQL. ● Test your knowledge and prepare for the exam with practice exercises and quizzes. DESCRIPTION The Google Professional Cloud Developer Exam Guide is a comprehensive study guide for the Google Professional Cloud Developer exam. It covers all the topics you need to master to design, develop, deploy, and manage cloud-native applications on Google Cloud Platform (GCP). The book starts with an introduction to the certification and the skills and knowledge you need to pass the exam. Then, it covers the different development environments for GCP development, the most important GCP products and services, and the principles of designing high-performance and secure applications. The book also covers designing and building cloud-native applications, different application deployment strategies, and how to deploy apps and services on GCP. It also shows how to integrate applications with GCP services and how to monitor and manage app workloads. To help you prepare for the exam, the book ends with a chapter of quiz solutions. Overall, this book is a great resource for anyone preparing for the Google Professional Cloud Developer exam. WHAT YOU WILL LEARN ● Learn about the basics of cloud computing, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). ● Learn about serverless architectures and how to use them to build scalable and reliable applications. ● Learn how to debug and profile code to improve its performance and reliability. ● Learn about source control management and how to use it to track changes to code. ● Learn about performance testing and how to use it to ensure that applications meet their performance requirements. ● Learn about service-level agreements (SLAs), service-level objectives (SLOs), and service-level indicators (SLIs) and how to use them to measure the performance of applications. WHO THIS BOOK IS FOR This book is for software engineers, developers, and IT professionals who want to learn about cloud computing and how to develop and deploy applications on Google Cloud Platform. Readers should have a basic understanding of programming and cloud computing concepts. TABLE OF CONTENTS 1. The Professional Cloud Developer 2. Development Environments 3. GCP Products and Services 4. Designing High-performance Applications 5. Designing and Managing Secure Applications 6. Writing and Building Cloud-native Applications 7. Application Deployment Strategies 8. Deploying Apps and Services 9. Integrating Applications with GCP Services 10. Monitoring and Managing App Workloads 11. Answers to Quizzes

AWS Certification Guide - AWS Certified DevOps Engineer – Professional Master the Art of AWS DevOps at a Professional Level Embark on a comprehensive journey to mastering DevOps practices in the AWS ecosystem with this definitive guide for the AWS Certified DevOps Engineer – Professional certification. Tailored for DevOps professionals aiming to validate their expertise, this book is an invaluable resource for mastering the blend of operations and development on AWS. Within These Pages, You'll Discover: Advanced DevOps Techniques: Deep dive into the advanced practices of AWS DevOps, from infrastructure as code to automated scaling and management. Comprehensive Coverage of AWS Services: Explore the full range of AWS services relevant to DevOps, including their integration and optimization for efficient workflows. Practical, Real-World Scenarios: Engage with detailed case studies and practical examples that demonstrate effective DevOps strategies in action on AWS. Focused Exam Preparation: Get a thorough understanding of the exam structure, with in-depth chapters aligned with each domain of the certification exam, complemented by targeted practice questions. Written by a DevOps Veteran Authored by an experienced AWS DevOps Engineer, this guide marries practical field expertise with a deep understanding of AWS services, offering readers insider insights and proven strategies. Your Comprehensive Guide to DevOps Certification Whether you’re an experienced DevOps professional or looking to take your skills to the next level, this book is your comprehensive companion, guiding you through the complexities of AWS DevOps and preparing you for the Professional certification exam. Elevate Your DevOps Skills Go beyond the basics and gain a profound, practical understanding of DevOps practices in the AWS environment. This guide is more than a certification prep book; it's a blueprint for excelling in AWS DevOps at a professional level. Begin Your Advanced DevOps Journey Embark on your path to becoming a certified AWS DevOps Engineer – Professional. With this guide, you're not just preparing for an exam; you're advancing your career in the fast-evolving field of AWS DevOps. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

The overwhelming majority of a software system’s lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems? In this collection of essays and articles, key members of Google’s Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. You’ll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient—lessons directly applicable to your organization. This book is divided into four sections: Introduction—Learn what site reliability engineering is and why it differs from conventional IT industry practices Principles—Examine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE) Practices—Understand the theory and practice of an SRE’s day-to-day work: building and operating large distributed computing systems Management—Explore Google's best practices for training, communication, and meetings that your organization can use

By following this comprehensive guide, readers will embark on a journey to gain a deep understanding of cloud computing concepts, enabling them to navigate the complex landscape of cloud services with confidence. The guide covers a wide range of topics, providing valuable insights and practical strategies to optimize the use of cloud offerings. The first chapter introduces readers to the fundamental concepts of cloud computing, explaining the underlying principles and models such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It lays the foundation for the subsequent chapters, ensuring a solid understanding of cloud computing basics. The guide then delves into the process of selecting the right cloud service provider. Chapter 2 offers guidance on evaluating factors such as pricing models, performance, reliability, security, and data privacy. Readers will learn how to assess and compare different providers to make informed decisions that align with their specific business needs. The subsequent chapters provide in-depth insights into various aspects of cloud services. From storage solutions to infrastructure management, security measures, and cost optimization strategies, readers will explore best practices, tips, and recommendations for maximizing the benefits of each cloud offering. Chapters dedicated to cloud storage solutions discuss different options available and guide readers on how to leverage cloud storage for data backup, disaster recovery, and efficient data management. The chapters on Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) provide readers with strategies for leveraging these services to scale and flexibly deploy computing resources, design and deploy virtual infrastructure, and optimize performance. The guide also delves into Software as a Service (SaaS), highlighting its benefits for software delivery and exploring popular SaaS applications across various industries. Readers will gain insights into customizing and integrating SaaS solutions to meet specific business needs and learn how to integrate SaaS with other cloud services for enhanced functionality. Security, governance, and compliance in the cloud are essential considerations, and the guide dedicates chapters to these topics. Readers will learn about implementing robust access controls, encryption, and monitoring techniques to ensure data security. They will also discover best practices for establishing cloud governance frameworks, ensuring compliance with industry regulations, and managing resources effectively. Optimizing cost and resource usage is a crucial aspect of cloud services, and the guide covers various strategies for cost optimization, analyzing cloud costs, and identifying cost drivers. It provides insights into leveraging reserved instances, spot instances, and rightsizing to optimize costs and maximize return on investment. The guide also explores cloud migration planning and execution, hybrid cloud integration, serverless computing, big data analytics, DevOps, and other advanced cloud technologies. Each chapter presents a comprehensive overview of the topic, offering practical advice and real-world examples to help readers understand and leverage these technologies effectively. By the end of the guide, readers will have a comprehensive understanding of cloud computing and its various offerings. They will be equipped with the knowledge and strategies to choose the right cloud service provider, optimize resource utilization, enhance security measures, and leverage advanced cloud technologies to drive innovation and business growth. Overall, this guide serves as a valuable resource for individuals and organizations seeking to harness the full potential of cloud services.

Monitor your Docker containers and their apps using various native and third-party tools with the help of this exclusive guide! About This Book Get the only book that covers multiple methods to monitoring Docker Containers -your one-stop solution to all your Docker monitoring needs Learn how to implement third-party tools such as Datalog, cAdvisor, and more with this example-rich, hands-on guide Learn how to efficiently monitor Docker containers and get an edge over other administrators while maintaining apps on these containers Who This Book Is For This book is for DevOps engineers and system administrators who manage Docker containers and want to better manage these containers using expert techniques and methods and better maintain applications built on Docker. What You Will Learn Discover the tools built into Docker to gain an insight into your containers' performance Augment Docker's built-in tools with modern tools such as cAdvisor from Google, SysDig by Draios, and Soundcloud's Prometheus Integrate the monitoring of your containers with more traditional monitoring solutions such as Zabbix Take advantage of the various SaaS offerings from third parties to move monitoring away from your local infrastructure and into the cloud Discover the various ways to ship your applications' logs from the container to a central logging service Get the most out of your application and resources with the right implementation of your monitoring method In Detail This book will show you how monitoring containers and keeping a keen eye on the working of applications helps improve the overall performance of the applications that run on Docker. With the increased adoption of Docker containers, the need to monitor which containers are running, what resources they are consuming, and how these factors affect the overall performance of the system has become the need of the moment. This book covers monitoring containers using Docker's native monitoring functions, various plugins, as well as third-party tools that help in monitoring. Well start with how to obtain detailed stats for active containers, resources consumed, and container behavior. We also show you how to use these stats to improve the overall performance of the system. Next, you will learn how to use SysDig to both view your containers performance metrics in real time and record sessions to query later. By the end of this book, you will have a complete knowledge of how to implement monitoring for your containerized applications and make the most of the metrics you are collecting Style and approach This is an easy-to-follow guide with plenty of hands-on examples that can be executed both on your local machine and externally hosted services.