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Author: David Flores
Publisher: Packt Publishing Ltd
ISBN: 183508317X
Category : Computers
Languages : en
Pages : 506
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Book Description
Learn how to use modern monitoring tools for building network observability solutions that enhance operations and promote an effective automation strategy, with step-by-step guidance and practical examples Key Features Craft a dynamic observability stack with real-world, practical applications Build intuitive dashboards and alerts by collecting and normalizing diverse network data Leverage observability data to strengthen automation strategies for network operations Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAs modern IT services and software architectures such as microservices rely increasingly on network performance, the relevance of networks has never been greater. Network observability has emerged as a critical evolution of traditional monitoring, providing the deep visibility needed to manage today’s complex, dynamic environments. In Modern Network Observability, authors David Flores, Christian Adell, and Josh VanDeraa share their extensive experience to guide you through building and deploying a flexible observability stack using open-source tools. This book begins by addressing the limitations of monolithic monitoring solutions, showing you how to transform them into a composable, flexible observability stack. Through practical implementations, you’ll learn how to collect, normalize, and analyze network data from diverse sources, build intuitive dashboards, and set up actionable alerts that help you stay ahead of potential issues. Later, you’ll cover advanced topics, such as integrating observability data into your network automation strategy, ensuring your network operations align with business objectives. By the end of this book, you'll be able to proactively manage your network, minimize downtime, and ensure resilient, efficient, and future-proof operations.What you will learn Collect and normalize data from various sources using Telegraf and Logstash Enrich operational data with crucial context from a Source of Truth such as Nautobot Visualize data and create insightful dashboards with Grafana Automate alerts and responses for your network operations strategy using Prefect Understand when to build or buy an observability stack, with tips and best practices Explore practical machine learning techniques to enhance observability data value Who this book is for This book is for all network engineering roles such as network analysts, administrators, architects, security personnel, support staff, and managers working in both on-premises and cloud environments who are tasked with implementing or using network monitoring solutions. Basic programming knowledge in Python and Go, familiarity with networking concepts, and a fundamental understanding of Docker containers for lab scenarios will be required.
Author: David Flores
Publisher: Packt Publishing Ltd
ISBN: 183508317X
Category : Computers
Languages : en
Pages : 506
Get Book Here
Book Description
Learn how to use modern monitoring tools for building network observability solutions that enhance operations and promote an effective automation strategy, with step-by-step guidance and practical examples Key Features Craft a dynamic observability stack with real-world, practical applications Build intuitive dashboards and alerts by collecting and normalizing diverse network data Leverage observability data to strengthen automation strategies for network operations Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAs modern IT services and software architectures such as microservices rely increasingly on network performance, the relevance of networks has never been greater. Network observability has emerged as a critical evolution of traditional monitoring, providing the deep visibility needed to manage today’s complex, dynamic environments. In Modern Network Observability, authors David Flores, Christian Adell, and Josh VanDeraa share their extensive experience to guide you through building and deploying a flexible observability stack using open-source tools. This book begins by addressing the limitations of monolithic monitoring solutions, showing you how to transform them into a composable, flexible observability stack. Through practical implementations, you’ll learn how to collect, normalize, and analyze network data from diverse sources, build intuitive dashboards, and set up actionable alerts that help you stay ahead of potential issues. Later, you’ll cover advanced topics, such as integrating observability data into your network automation strategy, ensuring your network operations align with business objectives. By the end of this book, you'll be able to proactively manage your network, minimize downtime, and ensure resilient, efficient, and future-proof operations.What you will learn Collect and normalize data from various sources using Telegraf and Logstash Enrich operational data with crucial context from a Source of Truth such as Nautobot Visualize data and create insightful dashboards with Grafana Automate alerts and responses for your network operations strategy using Prefect Understand when to build or buy an observability stack, with tips and best practices Explore practical machine learning techniques to enhance observability data value Who this book is for This book is for all network engineering roles such as network analysts, administrators, architects, security personnel, support staff, and managers working in both on-premises and cloud environments who are tasked with implementing or using network monitoring solutions. Basic programming knowledge in Python and Go, familiarity with networking concepts, and a fundamental understanding of Docker containers for lab scenarios will be required.
Author: Dinesh G. Dutt
Publisher: "O'Reilly Media, Inc."
ISBN: 1492045551
Category : Computers
Languages : en
Pages : 429
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Book Description
If you want to study, build, or simply validate your thinking about modern cloud native data center networks, this is your book. Whether you’re pursuing a multitenant private cloud, a network for running machine learning, or an enterprise data center, author Dinesh Dutt takes you through the steps necessary to design a data center that’s affordable, high capacity, easy to manage, agile, and reliable. Ideal for network architects, data center operators, and network and containerized application developers, this book mixes theory with practice to guide you through the architecture and protocols you need to create and operate a robust, scalable network infrastructure. The book offers a vendor-neutral way to look at network design. For those interested in open networking, this book is chock-full of examples using open source software, from FRR to Ansible. In the context of a cloud native data center, you’ll examine: Clos topology Network disaggregation Network operating system choices Routing protocol choices Container networking Network virtualization and EVPN Network automation
Author: Niall Richard Murphy
Publisher: "O'Reilly Media, Inc."
ISBN: 1491951176
Category :
Languages : en
Pages : 552
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Book Description
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
Author: Brendan Creane
Publisher: "O'Reilly Media, Inc."
ISBN: 1098107055
Category : Computers
Languages : en
Pages : 201
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Book Description
Securing, observing, and troubleshooting containerized workloads on Kubernetes can be daunting. It requires a range of considerations, from infrastructure choices and cluster configuration to deployment controls and runtime and network security. With this practical book, you'll learn how to adopt a holistic security and observability strategy for building and securing cloud native applications running on Kubernetes. Whether you're already working on cloud native applications or are in the process of migrating to its architecture, this guide introduces key security and observability concepts and best practices to help you unleash the power of cloud native applications. Authors Brendan Creane and Amit Gupta from Tigera take you through the full breadth of new cloud native approaches for establishing security and observability for applications running on Kubernetes. Learn why you need a security and observability strategy for cloud native applications and determine your scope of coverage Understand key concepts behind the book's security and observability approach Explore the technology choices available to support this strategy Discover how to share security responsibilities across multiple teams or roles Learn how to architect Kubernetes security and observability for multicloud and hybrid environments
Author: Tim Peters
Publisher: GitforGits
ISBN: 8119177002
Category : Computers
Languages : en
Pages : 332
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Book Description
Numerous sample programs & examples demonstrating the application of python tools to streamline network automation With "Mastering Python Network Automation," you can streamline container orchestration, configuration management, and resilient networking with Python and its libraries, allowing you to emerge as a skilled network engineer or a strong DevOps professional. From the ground up, this guide walks readers through setting up a network automation lab using the NS3 network simulator and Python programming. This includes the installation of NS3, as well as python libraries like nornir, paramiko, netmiko, and PyEZ, as well as the configuration of ports, hosts, and servers. This book will teach you the skills to become a proficient automation developer who can test and fix any bugs in automation scripts. This book examines the emergence of the service mesh as a solution to the problems associated with service-to-service communication over time. This book walks you through automating various container-related tasks in Python and its libraries, including container orchestration, service discovery, load balancing, container storage management, container performance monitoring, and rolling updates. Calico and Istio are two well-known service mesh tools, and you'll find out how to set them up and configure them to manage traffic routing, security, and monitoring. Additional topics covered in this book include the automation of network policies, the routing of workloads, and the collection and tracking of metrics, logs, and traces. You'll also pick up some tips and tricks for collecting and visualizing Istio metrics with the help of tools like Grafana. Key Learnings Use of Istio for cluster traffic management, traffic routing, and service mesh implementation. Utilizing Cilium and Calico to solve pod networking and automate network policy and workload routing. Monitoring and managing Kubernetes clusters with etcd and HAProxy load balancers and container storage. Establishing network automation lab with tools like NS3 emulator, Python, Virtual Environment, and VS Code. Establishing connectivity between hosts, port connectivity, SSH connectivity, python libraries, NS3, and network encryption. Table of Content Python Essentials for Networks File Handling and Modules in Python Preparing Network Automation Lab Configuring Libraries and Lab Components Code, Test & Validate Network Automation Automation of Configuration Management Managing Docker and Container Networks Orchestrating Container & Workloads Pod Networking Implementing Service Mesh Audience "Mastering Python Network Automation" is an essential guide for network engineers, DevOps professionals, and developers who want to streamline container orchestration and resilient networking with the help of Terraform, Calico, and Istio. Knowing Python and the basics of networking is sufficient to pursue this book.
Author: Michael Hausenblas
Publisher: "O'Reilly Media, Inc."
ISBN: 1098108892
Category : Computers
Languages : en
Pages : 263
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Book Description
If you use Linux in development or operations and need a structured approach to help you dive deeper, this book is for you. Author Michael Hausenblas also provides tips and tricks for improving your workflow with this open source operating system. Whether you're a developer, software architect, or site reliability engineer, this hands-on guide focuses on ways to use Linux for your everyday needs, from development to office-related tasks. Along the way, you'll gain hands-on experience with modern Linux terminals and shells, and learn how to manage your workloads. You'll understand how to run Linux applications by using containers, systemd, modern filesystems, and immutable distros such as Flatcar and Bottlerocket. Use Linux as a modern work environment, rather than just from an admin perspective Learn critical components such as the Linux kernel, terminal multiplexer, human-friendly shells, and portable shell scripting Become familiar with access control, from file permissions to capabilities, and understand the role of filesystems as a fundamental building block Learn about application dependency management and containers Gain hands-on experience with the Linux networking stack and tooling, including DNS Apply modern operating system observability to manage your workloads Become familiar with interprocess communication, virtual machines, and selected security topics
Author: Adel Ali Abou El-Ela
Publisher: Springer Nature
ISBN: 3030960250
Category : Technology & Engineering
Languages : en
Pages : 237
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Book Description
Modern Optimization Techniques for Smart Grids presents current research and methods for monitoring transmission systems and enhancing distribution system performance using optimization techniques considering the role of different single and multi-objective functions. The authors present in-depth information on integrated systems for smart transmission and distribution, including using smart meters such as phasor measurement units (PMUs), enhancing distribution system performance using the optimal placement of distributed generations (DGs) and/or capacitor banks, and optimal capacitor placement for power loss reduction and voltage profile improvement. The book will be a valuable reference for researchers, students, and engineers working in electrical power engineering and renewable energy systems. Predicts future development of hybrid power systems; Introduces enhanced optimization strategies; Includes MATLAB M-file codes.
Author: Atif S. Debs
Publisher: Springer Science & Business Media
ISBN: 1461310733
Category : Technology & Engineering
Languages : en
Pages : 376
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Book Description
Initial material for this book was developed over a period of several years through the introduction in the mid-seventies of a graduate-level course en titled, "Control and Operation of Interconnected Power Systems," at the Georgia Institute of Technology. Subsequent involvement with the utility industry and in teaching continuing education courses on modern power sys tem control and operation contributed to the complimentary treatment of the dynamic aspects of this overall topic. In effect, we have evolved a textbook that provides a thorough under standing of fudamentals as needed by a graduate student with a prior back ground in power systems analysis at the undergraduate level, and in system theory concepts normally provided at the beginning of the graduate level in electrical engineering. It is also designed to provide the depth needed both by the serious graduate student and the power industry engineer involved in the activities of energy control centers and short-term operations planning. As explained in Chapter 2, the entire book can be covered in a two quarter course sequence. The bulk of the material may be covered in one semester. For a two-semester offering, we recommend that students be in volved in some project work to further their depth of understanding. Utility and consulting industry engineers should concentrate on the more advanced concepts and developments usually available at the latter half of each chap ter.
Author: Jason Edelman
Publisher: Packt Publishing Ltd
ISBN: 1837634513
Category : Computers
Languages : en
Pages : 816
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Book Description
Transform the way your network teams think about and deploy enterprise network automation through the power of Nautobot's open-source platform Key Features Learn how documenting your network in Nautobot can accelerate your network automation journey Apply NetDevOps to your network by leveraging Nautobot as a network source of truth Minimize tool sprawl by extending, using, or building Nautobot Apps Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionNautobot enables network teams to build a scalable and extensible network source of truth that provides a foundation to power any network automation stack. With the help of this guide, you’ll learn how to deploy, manage, and integrate Nautobot as a source of truth and network automation platform. As you progress, you’ll learn what a network source of truth is, the relationship between data and network automation, and network data models. You’ll also gain a broad understanding of Nautobot and its robust features that allow maximum flexibility. A dedicated section will show you how to construct a single source of truth with Nautobot and help you explore its programmatic APIs, including REST APIs, GraphQL, webhooks, and Nautobot Job Hooks. Later, you’ll develop custom data models and custom apps for Nautobot and experience its extensibility and powerful developer API. In the last part of this book, you'll discover how to deploy configuration compliance and automated remediation once Nautobot is deployed as a network source of truth. By the end of this book, you’ll be able to design and manage Nautobot as a network source of truth, understand its key features, and extend Nautobot by creating custom data models and apps that suit your network and your team.What you will learn Understand network sources of truth and the role they play in network automation architecture Gain an understanding of Nautobot as a network source and a network automation platform Convert Python scripts to enable self-service Nautobot Jobs Understand how YAML files in Git can be easily integrated into Nautobot Get to grips with the NetDevOps ecosystem around Nautobot and its app ecosystem Delve into popular Nautobot Apps including Single Source of Truth and Golden Config Who this book is for This book is for network engineers, network automation engineers, and software engineers looking to support their network teams by building custom Nautobot Apps. A basic understanding of networking (e.g. CCNA) and knowledge of the fundamentals of Linux, Python programming, Jinja2, YAML, and JSON are needed to get the most out of this book.
Author: Kai-Sheng Lu
Publisher: World Scientific
ISBN: 9814412430
Category : Mathematics
Languages : en
Pages : 319
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Book Description
To overcome the problems of system theory and network theory over real field, this book uses matrices over the field F ( z ) of rational functions in multi-parameters describing coefficient matrices of systems and networks and makes systems and network description over F ( z ) and researches their structural properties: reducible condition of a class of matrices over F ( z ) and their characteristic polynomial; type-1 matrix and two basic properties; variable replacement conditions for independent parameters; structural controllability and observability of linear systems over F ( z ); separability, reducibility, controllability, observability and structural conditions of networks over F ( z ), and so on. This book involves three subjects: systems, networks and matrices over F ( z ), which is an achievement of interdisciplinary research. Sample Chapter(s). Chapter 1: Introduction (166 KB). Contents: Introduction; Matrices Over Field F ( z ) of Rational Functions in Multi-Parameters; Controllability and Observability of Linear Systems Over F ( z ); Electrical Networks Over F ( z ); Further Thought. Readership: For researchers, graduate students, and engineers in the field of electrical engineering, electronics, automation and applied mathematics (matrix theory).
