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Autorenporträt
John Capobianco has a dynamic and multifaceted career in IT and networking, marked by significant contributions to both the public and private sectors. Beginning his journey in the field as an aluminum factory worker, Capobianco's resilience and dedication propelled him through college, earning a diploma as a Computer Programmer Analyst from St. Lawrence College. This initial phase set the foundation for a career underpinned by continuous learning and achievement, evident from his array of certifications, including multiple Cisco certifications as well as Microsoft certification.
Transitioning from his early educational accomplishments, Capobianco's professional life has spanned over two decades, featuring roles that showcased his technical prowess and strategic vision. His work has significantly impacted both the public and private sectors, including notable positions at the Parliament of Canada, where he served as a Senior IT Planner and Integrator, and at Cisco, where he began as a Developer Advocate. These roles have been instrumental in shaping his perspective on network management and security, leading to his recent advancement into a Technical Leader role in Artificial Intelligence for Cisco Secure, reflecting his commitment to integrating AI technologies for enhancing network security solutions.
In addition to his professional and technical achievements, Capobianco is also an accomplished author. His book Automate Your Network: Introducing the Modern Approach to Enterprise Network Management, published in March 2019, encapsulates his philosophy toward leveraging automation for efficient and effective network management. He is dedicated to lifelong learning and professional development, supported by a solid foundation in education and a broad spectrum of certifications, and now aims to share his knowledge with others through this book, YouTube videos, and blogs. John can be found on X using @john_capobianco.
Dan Wade is a Network and Infrastructure Automation Practice Lead at BlueAlly. As part of the Solutions Strategy team at BlueAlly, he is responsible for developing network and infrastructure automation solutions and enabling the sales and consulting teams on delivery of the developed solutions. Solutions may include infrastructure provisioning, configuration management, network source of truth, network observability, and, of course, automated testing and validation. Previous to this role, Dan worked as a consulting engineer with a focus on network automation.
Dan has more than seven years of experience in network automation, having worked with automation tooling and frameworks such as Ansible and Terraform, and Python libraries, including Nornir, Netmiko, NAPALM, Scrapli, and Python SDKs. Dan has been working with pyATS and the pyATS library (Genie) for the past four to five years, which has inspired him to embrace automated network testing. In 2021, Dan contributed to the genieparser library with a new IOS XE parser. He also enjoys creating his own open-source projects focused on network automation. Dan holds two professional-level certifications from Cisco: Cisco DevNet Professional and CCNP Enterprise. He is also a member of the Cisco DevNet 500 and Cisco Champions program.
Dan enjoys sharing knowledge and experience on social media with blog posts and YouTube videos as well as participating in podcast episodes. He's passionate about helping others explore network automation and advocating how network automation can empower, not replace, network engineers. You can find him on social media @devnetdan.
Inhaltsangabe
Introduction xxx Chapter 1 Foundations of NetDevOps 1 Traditional Network Operations 2 Software Development Methodologies 11 NetDevOps 14 Comparing Network Automation Tools 21 The Modern Network Engineer Toolkit 22 CI/CD 32 Summary 35 References 36 Chapter 2 Installing and Upgrading pyATS 37 Installing pyATS 37 Upgrading pyATS 42 Troubleshooting pyATS 45 Summary 47 Chapter 3 Testbeds 49 What Is YAML? 49 What Is a Testbed? 51 Device Connection Abstractions 60 Testbed Validation 63 Dynamic Testbeds 66 Intent-based Networking with Extended Testbeds 68 Summary 70 Chapter 4 AEtest Test Infrastructure 73 Getting Started with AEtest 74 Testscript Structure 75 AEtest Object Model 82 Runtime Behavior 85 Test Results 88 Processors 91 Data-Driven Testing 94 Running Testscripts 108 Testscript Flow Control 117 Reporting 126 Debugging 133 Summary 134 Chapter 5 pyATS Parsers 137 Vendor-Agnostic Automation 138 pyATS learn 139 pyATS Parsers 146 Parsing at the CLI 148 Parsing with Python 159 Dictionary Query 160 Differentials 162 Summary 167 Chapter 6 Test-Driven Development 169 Introduction to Test-Driven Development 170 Applying Test-Driven Development to Network Automation 172 Introduction to pyATS 174 The pyATS Framework 175 Summary 187 Endnotes 188 Chapter 7 Automated Network Documentation 189 Introduction to pyATS Jobs 190 Running pyATS Jobs from the CLI 196 pyATS Job CLI Logs 199 pyATS Logs HTML Viewer 203 Jinja2 Templating 205 Business-Ready Documents 206 Summary 232 References 232 Chapter 8 Automated Network Testing 233 An Approach to Network Testing 234 Software Version Testing 235 Interface Testing 243 Neighbor Testing 259 Reachability Testing 262 Intent Validation Testing 267 Feature Testing 271 Summary 276 Chapter 9 pyATS Triggers and Verifications 279 Genie Objects 279 Genie Harness 282 Verifications 286 Triggers 290 Trigger and Verification Example 296 Summary 301 Chapter 10 Automated Configuration Management 303 Intent-Based Network Configuration 303 Generating Configurations with pyATS 304 Configuring Devices with pyATS 309 Summary 320 Chapter 11 Network Snapshots 321 Network Profiling 321 Comparing Network State 324 Polling Expected State 332 Robot Framework with Genie 333 Summary 335 References 335 Chapter 12 Recordings, Playbacks, and Mock Devices 337 Recording pyATS jobs 337 Playback Recordings 341 Mock Devices 342 Mock Device CLI 344 Summary 345 Chapter 13 Working with Application Programming Interfaces (API) 347 pyATS APIs 347 REST Connector 353 YANG Connector 385 gNMI 389 Summary 395 Chapter 14 Parallel Call (pcall) 397 Scaling Performance 397 Parallel Call (pcall) 400 Performance Comparison 406 Summary 409 Chapter 15 pyATS Clean 411 Getting Started 411 Clean YAML 423 Clean Execution 436 Developing Clean Stages 443 Summary 456 Chapter 16 pyATS Blitz 459 Blitz YAML 459 Blitz Usage 481 Blitz Development 481 Custom Blitz Actions 481 Custom Blitz Sections 482 Useful Tips 483 Summary 484 Chapter 17 Chatbots with Webex 485 Integrating pyATS with Webex 486 pyATS Job Integration 487 pyATS Health Check Integration 489 Adaptive Cards 490 Customized Job Notifications 492 Summary 502 Chapter 18 Running pyATS as a Container 503 Introduction to Containers 504 pyATS Official Docker Container 506 pyATS Image Builder 507 Building a pyATS Image from Scratch 510 Summary 513 Chapter 19 pyATS Health Check 515 Health Checks 515 Custom Health Checks 517 Health Check Usage 523 Summary 525 Chapter 20 XPRESSO 527 Installing XPRESSO 529 Getting Started with XPRESSO 536 Transforming a pyATS Job into XPRESSO 538 Summary 556 Chapter 21 CI/CD with pyATS 557 What Is CI/CD? 557 CI/CD In NetDevOps 560 NetDevOps Scenario 562 NetDevOps in Action 565 Whats Next? 572 Summary 573 Chapter 22 Robot Framework 575 What Is the Robot Framework? 575 Getting Started with Robot Framework 576 Robot Integration with pyATS 582 Summary 590 Chapter 23 Leveraging Artificial Intelligence in pyATS 591 OpenAI API 597 Retrieval Augmented Generation with LangChain 612 Rapid Prototyping with Streamlit 621 Summary 631 Appendix A Writing Your Own Parser 633 Appendix B Secret Strings 651
