Bøger af Eric Chou

Get to grips with the latest container examples, Python 3 features, GitLab DevOps, network data analysis, and cloud networking to get the most out of Python for network engineering with the latest edition of this bestselling guidePurchase of the print or Kindle book includes a free eBook in PDF format.Key Features:Explore the power of the latest Python libraries and frameworks to tackle common and complex network problems efficiently and effectivelyUse Python and other open source tools for Network DevOps, automation, management, and monitoringUse Python 3 to implement advanced network-related featuresBook Description:Networks in your infrastructure set the foundation for how your application can be deployed, maintained, and serviced. Python is the ideal language for network engineers to explore tools that were previously available to systems engineers and application developers. In Mastering Python Networking, Fourth edition, you'll embark on a Python-based journey to transition from traditional network engineers to network developers ready for the next-generation of networks.This new edition is completely revised and updated to work with the latest Python features and DevOps frameworks. In addition to new chapters on introduction to Docker containers and Python 3 AsyncIO for network engineers, each chapter is updated with the latest libraries with working examples to ensure compatibility and understanding of the concepts.Starting with a basic overview of Python, the book teaches you how it can interact with both legacy and API-enabled network devices. You will learn to leverage high-level Python packages and frameworks to perform network automation tasks, monitoring, management, and enhanced network security, followed by AWS and Azure Cloud networking. You will use Git for code management, GitLab for continuous integration, and Python-based testing tools to verify your network.What You Will Learn:Use Python to interact with network devicesUnderstand Docker as a tool that you can use for the development and deploymentUse Python and various other tools to obtain information from the networkLearn how to use ELK for network data analysisUtilize Flask and construct high-level API to interact with in-house applicationsDiscover the new AsyncIO feature and its concepts in Python 3Explore Test-Driven Development concepts and use PyTest to drive code test coverageUnderstand how GitLab can be used with DevOps practices in networkingWho this book is for:Mastering Python Networking, Fourth edition is for network engineers, developers, and SREs who want to learn Python for network automation, programmability, monitoring, cloud, and data analysis. Network engineers who want to transition from manual to automation-based networks using the latest DevOps tools will also get a lot of useful information from this book.Basic familiarity with Python programming and networking-related concepts such as Transmission Control Protocol/Internet Protocol (TCP/IP) will be helpful in getting the most out of this book.

Today''s network is about agility, automation, and continuous improvement. In Kafka Up and Running for Network DevOps, we will be on a journey to learn and set up the hugely popular Apache Kafka data messaging system. Kafka is unique in its principle to treat network data as a continuous flow of information that can adapt to the ever-changing business requirements. Whether you need a system to aggregate log messages, collect metrics, or something else, Kafka can be the reliable, highly redundant system you want.We will begin by learning about the core concepts of Kafka, followed by detailed steps of setting up a Kafka system in a lab environment. For the production environment, we will take advantage of the various public cloud provider offerings. Next, we will set up our Kafka cluster in Amazon Managed Kafka Service to host our Kafka cluster in the AWS cloud. We will also learn about AWS Kinesis, Azure Event Hub, and Google Cloud Put/Sub. Finally, the book will illustrate several use cases of how to integrate Kafka with our network from data enhancement, monitoring, to an event-driven architecture.The Network DevOps Series is a series of books targeted for the next generation of Network Engineers who wants to take advantage of the powerful tools and projects in modern software development and the open-source communities.

Python is the major programming language for network programming. This Learning Path shows you how to use the power and beauty of Python to complete numerous real-world tasks related to programming, monitoring, and administering networks.