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. ADELL FLORES (CHRISTIAN. VANDERAA, JOSH.)
Publisher:
ISBN: 9781835081068
Category :
Languages : en
Pages : 0
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Book Description
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: Dinesh G. Dutt
Publisher: "O'Reilly Media, Inc."
ISBN: 1492045551
Category : Computers
Languages : en
Pages : 459
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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: 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: 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).
Author: Liudmila Molkova
Publisher: Packt Publishing Ltd
ISBN: 1837636281
Category : Computers
Languages : en
Pages : 336
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Book Description
Instrument .NET apps using OpenTelemetry and explore logs and .NET diagnostic tools to debug, monitor, and analyze the performance of complex systems in the cloud Purchase of the print or Kindle book includes a free PDF eBook Key Features Get a clear understanding of complex systems using .NET and OpenTelemetry Adopt a systematic approach toward performance analysis and debugging Explore instrumentation techniques for common distributed patterns Book Description As distributed systems become more complex and dynamic, their observability needs to grow to aid the development of holistic solutions for performance or usage analysis and debugging. Distributed tracing brings structure, correlation, causation, and consistency to your telemetry, thus allowing you to answer arbitrary questions about your system and creating a foundation for observability vendors to build visualizations and analytics. Modern Distributed Tracing in .NET is your comprehensive guide to observability that focuses on tracing and performance analysis using a combination of telemetry signals and diagnostic tools. You'll begin by learning how to instrument your apps automatically as well as manually in a vendor-neutral way. Next, you'll explore how to produce useful traces and metrics for typical cloud patterns and get insights into your system and investigate functional, configurational, and performance issues. The book is filled with instrumentation examples that help you grasp how to enrich auto-generated telemetry or produce your own to get the level of detail your system needs, along with controlling your costs with sampling, aggregation, and verbosity. By the end of this book, you'll be ready to adopt and leverage tracing and other observability signals and tools and tailor them to your needs as your system evolves. What you will learn Understand the core concepts of distributed tracing and observability Auto-instrument .NET applications with OpenTelemetry Manually instrument common scenarios with traces and metrics Systematically debug issues and analyze the performance Keep performance overhead and telemetry volume under control Adopt and evolve observability in your organization Who this book is for This book is for software developers, architects, and systems operators running .NET services who want to use modern observability tools and standards and take a holistic approach to performance analysis and end-to-end debugging. Software testers and support engineers will also find this book useful. Basic knowledge of the C# programming language and .NET platform is assumed to grasp the examples of manual instrumentation, but it is not necessary.
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: John Capobianco
Publisher: Cisco Press
ISBN: 0138031789
Category : Computers
Languages : en
Pages : 1588
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Book Description
Unlock the power of automated network testing with the Cisco pyATS framework. Written by industry experts John Capobianco and Dan Wade, Cisco pyATS—Network Test and Automation Solution is a comprehensive guide to theCisco pyATS framework, a Python-based environment for network testing, device configuration, parsing, APIs, and parallel programming. Capobianco and Wade offer in-depth insights into the extensive capabilities of pyATS and the pyATS library (Genie). You’ll learn how to leverage pyATS for network testing, including software version testing, interface testing, neighbor testing, and reachability testing. You’ll discover how to generate intent-based configurations, create mock devices, and integrate pyATS into larger workflows using CI/CD pipelines and artificial intelligence. You’ll explore the pyATS Blitz feature, which introduces a low-code no-code approach to network testing by allowing you to configure devices and write test cases using YAML, much like Ansible. And you’ll learn how to reset devices during or after testing with the pyATS Clean feature, build a pyATS image from scratch for containerized application deployment, and much more. Whether you’re a network professional, software developer, or preparing for the Cisco DevNet Expert Lab exam, this book is a must-have resource. Understand the foundations of NetDevOps and the modern network engineer’s toolkit Install, upgrade, and work with the pyATS framework and library Define test cases, control the flow of test execution, and review test results with built-in reporting features Generate automated network documentation with Jinja2 templates and Genie Conf objects Apply CI/CD practices in network automation with GitLab, Ansible, and pyATS Leverage artificial intelligence in pyATS for enhanced network automation
