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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.
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! 🌟
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
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
Learn how to deploy and test Linux-based Docker containers with the help of real-world use cases Key FeaturesUnderstand how to make a deployment workflow run smoothly with Docker containersLearn Docker and DevOps concepts such as continuous integration and continuous deployment (CI/CD)Gain insights into using various Docker tools and librariesBook Description Docker is the de facto standard for containerizing apps, and with an increasing number of software projects migrating to containers, it is crucial for engineers and DevOps teams to understand how to build, deploy, and secure Docker environments effectively. Docker for Developers will help you understand Docker containers from scratch while taking you through best practices and showing you how to address security concerns. Starting with an introduction to Docker, you'll learn how to use containers and VirtualBox for development. You'll explore how containers work and develop projects within them after you've explored different ways to deploy and run containers. The book will also show you how to use Docker containers in production in both single-host set-ups and in clusters and deploy them using Jenkins, Kubernetes, and Spinnaker. As you advance, you'll get to grips with monitoring, securing, and scaling Docker using tools such as Prometheus and Grafana. Later, you'll be able to deploy Docker containers to a variety of environments, including the cloud-native Amazon Elastic Kubernetes Service (Amazon EKS), before finally delving into Docker security concepts and best practices. By the end of the Docker book, you'll be able to not only work in a container-driven environment confidently but also use Docker for both new and existing projects. What you will learnGet up to speed with creating containers and understand how they workPackage and deploy your containers to a variety of platformsWork with containers in the cloud and on the Kubernetes platformDeploy and then monitor the health and logs of running containersExplore best practices for working with containers from a security perspectiveBecome familiar with scanning containers and using third-party security tools and librariesWho this book is for If you're a software engineer new to containerization or a DevOps engineer responsible for deploying Docker containers in the cloud and building DevOps pipelines for container-based projects, you'll find this book useful. This Docker containers book is also a handy reference guide for anyone working with a Docker-based DevOps ecosystem or interested in understanding the security implications and best practices for working in container-driven environments.
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
Enhance your system design skills to build scalable and efficient systems by working through real-world case studies and expert strategies to excel in interviews Key Features Comprehensive coverage of distributed systems concepts and practical system design techniques. Insider tips and proven strategies from engineering leaders at top tech companies. Detailed case studies of widely used applications and their system architectures. Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionBuilding scalable software systems is more critical than ever. Yet, many software professionals struggle to navigate the complexities of system design, especially when aiming for positions at top tech companies. Written by Dhirendra Sinha, a seasoned Engineering Leader at Google with a blend of experience working at large companies such as Cisco, Oracle, and Yahoo, and Tejas Chopra, a Senior Software Engineer at Netflix, a TEDx speaker, and a Co-Founder of GoEB1, this comprehensive and authoritative resource on system design offers invaluable insights and strategies to help you excel in interviews with all major tech companies. This guide covers the basics of system design, including the principles and techniques of distributed systems, and delves into core building blocks such as distributed system theorems, attributes, and the design and implementation of system components. Following examples of popular applications such as Uber, Twitter, Instagram, Google Docs, and Netflix, you’ll learn how to apply concepts to real-world scenarios. The book offers expert advice and strategies for preparing and acing system design interviews, along with a mind map/cheat sheet summarizing the key takeaways. By the end of this book, you’ll be equipped with unique techniques and the confidence to solve any coding interview question.What you will learn Design for scalability and efficiency with expert insights Apply distributed system theorems and attributes Implement DNS, databases, caches, queues, and APIs Analyze case studies of real-world systems Discover tips to excel in system design interviews with confidence Apply industry-standard methodologies for system design and evaluation Explore the architecture and operation of cloud-based systems Who this book is for This book is a must-have resource for experienced software professionals, particularly those with 5-15 years of experience in building scalable distributed systems, web applications, and backend microservices. Whether you're a seasoned developer or an architect looking to deepen your expertise in system design, this book provides the insights and practical knowledge you need to excel in tech interviews and advance your career. A solid foundation in distributed systems, data structures/algorithms, and web development will help you get the most out of this comprehensive guide.
An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning. Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions. The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload characterization and benchmarking, and system deployment and management; and surveys benchmarks and workloads for evaluating big data middleware systems. It presents a detailed discussion of big data computing systems and applications with high-performance networking, computing, and storage technologies, including state-of-the-art designs for data processing and storage systems. Finally, the book considers some advanced research topics in high-performance big data computing, including designing high-performance deep learning over big data (DLoBD) stacks and HPC cloud technologies.
Get hands-on with deploying and managing your database services to provide scalable and high-speed data access on CockroachDB Key FeaturesGain insights into CockroachDB and build highly reliable cloud-native applicationsExplore the power of a scalable and highly available cloud-native SQL database to distribute data and workloads automaticallyBuild high-speed database services using CockroachDB and troubleshoot performance issuesBook Description Getting Started with CockroachDB will introduce you to the inner workings of CockroachDB and help you to understand how it provides faster access to distributed data through a SQL interface. The book will also uncover how you can use the database to provide solutions where the data is highly available. Starting with CockroachDB's installation, setup, and configuration, this SQL book will familiarize you with the database architecture and database design principles. You'll then discover several options that CockroachDB provides to store multiple copies of your data to ensure fast data access. The book covers the internals of CockroachDB, how to deploy and manage it on the cloud, performance tuning to get the best out of CockroachDB, and how to scale data across continents and serve it locally. In addition to this, you'll get to grips with fault tolerance and auto-rebalancing, how indexes work, and the CockroachDB Admin UI. The book will guide you in building scalable cloud services on top of CockroachDB, covering administrative and security aspects and tips for troubleshooting, performance enhancements, and a brief guideline on migrating from traditional databases. By the end of this book, you'll have gained sufficient knowledge to manage your data on CockroachDB and interact with it from your application layer. What you will learnBecome well-versed with the overall architecture and design concepts of CockroachDBUnderstand how auto-rebalancing of data can avoid performance bottlenecksGet to know how CockroachDB achieves atomicity, consistency, isolation, and durabilityPartition your data across multiple geolocations to ensure very low latency when serving dataFind out how indexes are stored and the optimizations used to serve query results fasterDiscover the key concepts of deploying and managing CockroachDB clustersWho this book is for Software engineers, database developers, database administrators, and anyone who wishes to learn about the features of CockroachDB and how to build database solutions that are fast, highly available, and cater to business-critical applications, will find this book useful. Although no prior exposure to CockroachDB is required, familiarity with database concepts will help you to get the most out of this book.