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.

As businesses increasingly adopt cloud-first strategies, managing workloads across multiple cloud platforms becomes a critical challenge. This comprehensive book provides practical solutions and in-depth knowledge to efficiently operate in a multi-cloud world. Learn to leverage frameworks from AWS, Azure, GCP, and Alibaba Cloud to maximize the benefits of multi-cloud environments. Understand cloud networking, software-defined networking, and microservices to optimize cloud connectivity. Develop a robust data strategy to ensure data quality, security, and integrity across multiple cloud platforms. Discover how automation and AI can help maintain compliance with governmental and industry regulations in the cloud. Designed for cloud architects, IT administrators, and technical managers, this book is also valuable for anyone looking to deepen their understanding of cloud technologies and multi-cloud strategies. FEATURES •Uses frameworks from AWS, Azure, GCP, and Alibaba Cloud to maximize the benefits of multi-cloud environments •Provides practical instructions and real-world examples for managing multi-cloud environments •Features insights into cloud-native technologies, serverless functions, and container orchestration with Kubernetes •Explores the details of multi-cloud connectivity, storage, compute, data management, security, and compliance •Includes companion files with code samples and color figures available for downloading

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

"Architectural Principles for Cloud-Native Systems: A Comprehensive Guide" is an invaluable resource for professionals aiming to fully leverage cloud-native technologies. This book delves deeply into the design, implementation, and optimization of applications specifically tailored for cloud environments. It comprehensively covers topics such as microservices architecture fundamentals, containerization with Docker, and orchestration with Kubernetes. Additionally, the guide explores CI/CD practices, monitoring, logging, securing applications, and harnessing serverless architectures to ensure readers are adept with the latest methodologies. Whether you are a software architect, developer, or IT manager, this book offers practical insights and real-world examples, facilitating the successful creation and transformation of conventional systems into flexible, scalable, and highly efficient cloud-native applications. Embark on the journey to mastering cloud-native principles with this essential guide.

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.

With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior data scientists, MLOps engineers, and machine learning engineers will learn how to tackle challenges that prevent many businesses from moving ML models to production. Authors Yaron Haviv and Noah Gift take a production-first approach. Rather than beginning with the ML model, you'll learn how to design a continuous operational pipeline, while making sure that various components and practices can map into it. By automating as many components as possible, and making the process fast and repeatable, your pipeline can scale to match your organization's needs. You'll learn how to provide rapid business value while answering dynamic MLOps requirements. This book will help you: Learn the MLOps process, including its technological and business value Build and structure effective MLOps pipelines Efficiently scale MLOps across your organization Explore common MLOps use cases Build MLOps pipelines for hybrid deployments, real-time predictions, and composite AI Learn how to prepare for and adapt to the future of MLOps Effectively use pre-trained models like HuggingFace and OpenAI to complement your MLOps strategy

🌟 Introducing "Cloud Migration Mastery" 🌟 Are you ready to master the art of seamless cloud integration? Look no further! 🚀 With our comprehensive book bundle, you'll gain the knowledge and expertise needed to navigate the complexities of cloud migration across leading platforms such as AWS, Microsoft Azure, VMware, and NaviSite. 💡 Here's what you'll find inside: 📘 Book 1: Cloud Migration Essentials: A Beginner's Guide to AWS Perfect for beginners, this book provides a step-by-step roadmap for understanding key AWS concepts and executing successful cloud migration projects. Whether you're new to the cloud or looking to refresh your skills, this guide has got you covered. 🌈 📘 Book 2: Mastering Microsoft Azure: Advanced Strategies for Cloud Migration Take your Azure skills to the next level with advanced strategies and insights tailored specifically for Microsoft Azure. From identity management to AI and machine learning services, this book equips you with the knowledge needed to maximize the benefits of Azure for your organization. 🚀 📘 Book 3: VMware Virtualization: Optimizing Cloud Migration for Enterprises Explore the role of VMware virtualization technology in optimizing cloud migration for enterprise environments. With a focus on vSphere architecture, performance monitoring, and best practices, this book provides invaluable guidance for enterprises seeking to leverage VMware for their cloud migration initiatives. 💼 📘 Book 4: Navigating NaviSite: Expert Tactics for Seamless Cloud Integration Unlock the full potential of NaviSite's cloud services with expert tactics and strategies for seamless integration. From industry solutions to security frameworks, this book empowers you to navigate the complexities of NaviSite and achieve seamless cloud integration for your organization. 🛠️ Ready to become a cloud migration master? Get your hands on the "Cloud Migration Mastery" book bundle today and embark on your journey to cloud excellence! 🌟

Unlock the Power of Docker to Revolutionize Your Development and Deployment Strategies KEY FEATURES ● Dive into real-world Docker expertise through hands-on learning and practical exercises. ● Covers Docker fundamentals and extends to advanced orchestration techniques, for holistic understanding of the ecosystem. ● Benefit from expert perspectives gaining insider knowledge and practical insights. DESCRIPTION Embark on an enriching Docker journey with this definitive guide meticulously designed to take you from foundational knowledge to advanced mastery. This book adopts a holistic approach to containerization, starting with essential concepts, Docker's intricacies, and then moving on to an exploration of core concepts and architecture. You will then move seamlessly through building and managing Docker images, navigating networking challenges, and mastering the art of persistent data management. Each chapter builds upon the last, ensuring a thorough grasp of Docker's intricacies. The book will help you streamline deployment with Docker Compose, scale applications through Docker Swarm, fortify deployments with security insights, and seamlessly integrate Docker into your CI/CD pipelines. Push the boundaries further with discussions on Docker in cloud platforms, an introduction to Kubernetes, and advanced Docker concepts. Authored by a seasoned Senior Site Reliability Engineer (SRE), this book goes beyond the theoretical by providing insider insights, best practices, and real-world scenarios. Bridging the gap between concepts and application, it serves as your trusted companion in navigating Docker complexities. WHAT WILL YOU LEARN ● Build and manage Docker containers with practical proficiency ● Create efficient Docker images tailored to diverse application requirements ● Orchestrate containers seamlessly using Kubernetes for robust and scalable deployments ● Implement advanced networking solutions within the Docker environment ● Troubleshoot common issues and optimize Dockerized applications for peak performance ● Gain expert insights on architecting scalable and resilient software solutions WHO IS THIS BOOK FOR? Tailored for Software Developers, System Administrators, DevOps Engineers, IT Managers, Cloud Architects, and Infrastructure Engineers, this book offers valuable insights and advanced techniques. Whether you're a Docker beginner or seeking to deepen your expertise, it addresses a variety of roles in the dynamic realms of software development and IT. While no prior Docker experience is required, a foundational understanding of containerization concepts and familiarity with Linux environments can enhance the learning experience for all readers. TABLE OF CONTENTS 1. Introduction to Docker 2. Docker Architecture and Components 3. Building and Managing Docker Images 4. Docker Networking 5. Persistent Data Management with Docker 6. Docker Compose for Simplified Application Deployment 7. Scaling Applications with Docker Swarm 8. Securing Docker Deployments 9. Docker in Continuous Integration and Deployment 10. Docker on Cloud Platforms 11. Introduction to Kubernetes 12. Exploring Advanced Docker Concepts 13. Future Trends in Containerization Appendix A: All-in-One Cheatsheet Index