DevOps Training for Network Engineers

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DEVOPS for Network Engineers

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Overview

DevOps Training for Network Engineers is a customized training program by PyNet Labs to help Network Engineers learn how to automate Network changes by replacing the raw practices.

So, if you want to learn how to automate application deployment, enable automated configuration, enhance management, and improve the scalability of cloud microservices and infrastructure. In that case, PyNet Labs’ DevOps training is best for you.

Our DevOps for Network Engineers training will help you get acquainted with some great tools/technologies used for NetDevOps, such as Git, CI/CD Pipeline, Kubernetes, pyATS, Python Jinja2, Docker Containers, Ansible and Terraform.

The DevOps training course will be entirely hands-on and designed to help Network Engineers master various aspects of software development, operations, continuous integration, continuous delivery, automated build, test, and deployment.

Our training will help you gain the required skill set for getting a DevOps Engineer job and scale up your Network Automation skills.

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Who should take up this course?

The DevOps Training course is for those Network Engineers interested in automation and programmability and who hold job roles such as:

DevOps for Network Engineers Course Highlights

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Prerequisites for DevOps Training

Before taking DevOps for Network Engineers training, you must fulfil the following requirements:

Understanding of Cisco networking devices or, say, basic CCNA 200-301 knowledge is required.

Knowledge of Programming or Python is NOT required

DevOps for Network Engineers Course Outline

Introduction to DevOps vs NetDevOps

  • What is DevOps and need for DevOps?
  • Compare DevOps with NetDevOps
  • Why NetDevOps is necessary for Network Engineers
  • Tools to use for NetDevOps
  • Recap to Standard Network Automation

Python Variables & Data Types

  • Python Fundamentals
  • Python Variables, Data Types, Operators
  • Installing Python Locally
  • Integrating Python using an Integrated Development Environment (IDE)
  • Python Conditioning & Looping
  • Python Libraries Overview: Netmiko, ncclient, requests

Fundamentals of Version Control Systems (VCS)

  • Architecture of Git
  • Local Repository vs Remote Repository
  • Working with Git CLI Installation and Commands
  • Git, GitHub, GitLab

Comparison of Git (VCS) vs Cloud Hosted VCS Products (GitHub/GitLab)

  • Creating GitHub / GitLab Accounts
  • Understanding Repository Types and Privacy
  • Syncing your IDE with GitHub/GitLab using Git Commands/GUI
  • Tracking / Recovering Code Changes with Source Control

Working with Ansible

  • Introduction to Ansible
  • Comparing Ansible with other Network Automation Suites
  • Fundamentals of YAML
  • Need of inventory and variable management in Ansible
  • Ansible Galaxy and Ansible Tower
  • Working with Ansible Modules
  • Fundamentals of CI/CD

Introduction to Terraform Architecture

  • Fundamentals of Terraform
  • Introduction to Hashicorp Configuration Language (HCL)
  • Deploying options for Terraforms
  • Terraform Data Sources
  • Terraform Providers
  • Terraform Modules
  • Using Terraform to Automate Network Infrastructure

Understanding Continuous Integration Workflow

  • Understanding Continuous Integration Workflow
  • Decoding CI/CD Architecture
  • CI/CD Runners, Pipelines, Jobs
  • Working with pyATS for your Network Automation Tests

Understanding pyATS Framework

  • Working with pyATS Genie for Configuration Management
  • Python Jinja2 Framework

Python Jinja2 Library

  • Working with Jinja2 Templates & Framework
  • Introduction to Docker, Containers, and Kubernetes

Docker Containers Overview

  • Application Hosting Methods
  • Fundamentals of Containerization & Docker
  • Docker Hub & Docker Images
  • Installing Docker and Creating Docker Containers
  • Networking between Docker Containers
  • Converting a Python-based application into a Docker Container

DevOps Course Lab Outline

  • Advanced Python Exercises using Loops, Conditioning, and Libraries
  • Installing Git and Working with Git Commands for Source Control
  • Performing GitHub & GitLab Integration with VSCode (IDE)
  • Push/Pull Local Repository Changes to/from Master Repository
  • Working with Git Branches, Merges, Issues, etc.
  • Installing Ansible and Basic Setup of Ansible with YAML
  • IOS Network Automation using Ansible IOS Modules
  • Performing Configuration Telemetry & Changes using Ansible
  • Triggering Automated Configuration Changes upon Git Commits with CI/CD Pipeline
  • Performing Network Backups, Config Comparisons, Auditing using pyATS Framework
  • Building Jinja2 Templates for Medium to Large Scale Network
  • Deployments
  • Installing Docker Setup and Integrating with IDE
  • Running a Container from Docker Hub
  • Networking between Docker Images
  • Deploying Docker Containers
  • Installing Terraform and Performing Telemetry using Terraform Templates
  • Building Terraform .tf files and writing configuration on IOS devices

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Meet Your Trainer

AB 1

Mr. Abhijit Bakale

CTO & Co-Founder at PyNet Labs | DevNet Expert #20230021 | CCSI #35944

CCSI #35944, CCIE Automation, DEVNET Expert #20230021, Trainer for Versa SDWAN, DEVOPS, DevNet (DEVASC), DEVCOR, SDWAN, ENAUTO, SPCOR,PyATS, NSO 300, NSO 303, Ansible, Terraform, Jenkins, Restapi, ENCOR, SASE Instructor

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DEVOPS for Network Engineers

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Frequently Asked Questions

Q1. What is DevOps training for network engineers?

DevOps training for network engineers is a specialized course designed to help network professionals learn about DevOps practices and tools. It aims to bridge the gap between networking and development by teaching automation, collaboration, and infrastructure as code.

Q2. Who should take this training?

This training is ideal for network engineers, administrators, and IT professionals who want to gain skills in DevOps to streamline network management, automate tasks, and improve collaboration between network and development teams.

Q3. Are there any prerequisites for this training?

While there are no strict prerequisites, having a basic understanding of networking concepts and some familiarity with Linux operating systems can be helpful for participants in this training.

Q4. What topics are covered in this training?

This training covers a wide range of topics, including DevOps principles, automation tools, continuous integration and continuous deployment (CI/CD), containerization, and infrastructure as code (IaC).

Q5. How long does it take to complete the DevOps training for network engineers?

The duration of the training may vary depending on the course structure and individual learning pace. On average, it can take 4 to 6 weeks to complete.

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DEVOPS for Network Engineers