Name: Network management technologies
Price: 3697 GBP
Availability: InStock

Redhill

<h3>Git and GitHub course description</h3>
 This course covers version control using Git but also
using GUI frontends such as GitHub. The course starts
with a tour of using GitHub but then quickly moves onto
using git from the command line. All elements of git
version control are covered including creation of
repositories, adding and editing files, branches and
merging, rewriting history and handling merge conflicts.
Hands on sessions are used throughout the course.
 
				<h5>What will you learn</h5>
				<ul>
				 
 <li>Install git.</li>
					<li>Add and edit files in a repository.</li>
					<li>Create branches and perform merges.</li>
 <li>Handle merge conflicts.</li>
 </ul>
 <h5>
 Git and GitHub course details </h5>
				<div>
					<div>
						<ul>
							<li> Who will benefit: </li>
							
 Anyone requiring version control.
 
							<li>Prerequisites:</li>
							
 None.
 
							<li>Duration</li>
							
 1 day
						
 
							
 
 
						</ul>
					</div>
				</div>
 <h3>Git and GitHub course contents</h3>
 <ul>
				<li>Introduction </li>
Version control for software, configuration management. Other uses. Version control systems. What is git? What is GitHub? Distributed version control. Comparison of git to other systems.

<li>GitHub </li>
Getting started, creating an account, account types, repositories, access control, bug tracking, feature requests. Alternatives to GitHub.
 Hands on Using GitHub.

<li>Installing git </li>
Linux install, Windows install, git config, levels, user.name, user.email.
 Hands on Installing and configuring git.

<li>Creating repositories </li>
git clone, github, git remote, git init.
 Hands on Creating a repository.

<li>Adding and editing files </li> Staging and adding, git add, git commit, git push, git pull, git status, git log. Two stage process. File states: Working, staging, history, untracked. git mv, git rm, .gitignore, git diff, git difftool. Undoing changes.
 Hands on Adding and editing files in git.

<li>Branching and merging </li>
What is a branch, HEAD label, master branch, git branch, git checkout. Feature branches, bux fix branches, integration branches, production branches, fast forward merges, 3 way merges, git merge, git status, git log, tags.
 Hands on Making branches, merging.

<li>Rewriting history </li> git reset, git rebase, advantages.
 Hands on Reset commits, rebase a branch.

<li>Merge conflicts </li>
What is a conflict, conflict resolution process, resolving merges, rebasing, git log, merge tools, configuring merge tools, avoiding conflicts.
 Hands on Merge resolution.
 </ul>

Systems & Network Training

Network & Security

Network Engineer

Git and GitHub for engineers

General Admission

<h3>Network automation course description</h3>
 This course is not a soft skills course covering the
concepts of DevOps but instead concentrates on the
technical side of tools and languages for network
DevOps. Particular technologies focussed on are
ansible, git and Python enabling delegates to leave the
course ready to starting automating their network.
Hands on sessions follow all major sections. More
detailed courses on individual aspects of this course
are available.
 
				<h5>What will you learn</h5>
				<ul>
				 
					
					<li>Evaluate network automation tools.</li>

<li>Automate tasks with ansible.</li>
<li>Use git for version control.</li>
<li>Use Python to manage network devices.</li>
<li>Use Python libraries for network devices.
</li>
 </ul>
 <h5>
 Network automation course details </h5>
				<div>
					<div>
						<ul>
							<li> Who will benefit: </li>
							
 Network engineers.
 
							<li>Prerequisites:</li>
							
 TCP/IP foundation for engineers.
 
							<li>Duration</li>
							
 5 days
						
 
							
 
 
						</ul>
					</div>
				</div>
 <h3>Network automation course contents</h3>
 <ul>
				<li>What is DevOps </li>
					Programming and automating networks, networks
and clouds, AWS, OpenStack, SDN, DevOps for
network operations.
<li>Initial configuration </li>
Configuring SSH, ZTP, POAP. Hands on Initial
lab configuration.
<li>Getting started with ansible </li>
The language, the engine, the framework. Uses of
ansible, orchestration. The architecture,
Controlling machines, nodes, Agentless, SSH,
modules. Configuration management, inventories,
playbooks, modules, roles. Hands on Installing
ansible, running ad hoc commands.
<li>Ansible playbooks </li>
ansible-playbook, YAML, plays, tasks, handlers,
modules. Playbook variables. Register module,
debug module. Hands on Running playbooks.
<li>Ansible Inventories </li>
/etc/ansible/hosts, hosts, groups, static
inventories, dynamic inventories. Inventory
variables, external variables. Limiting hosts.
 Hands on Static inventories, variables in inventory
files.
				<li>Ansible modules for networking </li>
Built in modules, custom modules, return values.
Core modules for network operations. Cisco and/
or Juniper modules. ansible_connection. Ansible
2.6 CLI. Hands on Using modules.
<li>Ansible templating and roles </li>
Configuration management, full configurations,
partial configurations. The template module, the
assemble module, connection: local, Jinja2
templates, variables, if, for, roles. Hands on
Generating multiple configurations from a
template.
<li>Network programming and modules </li>
Why use Python? Why use ansible? alternatives,
ansible tower, Linux network devices.
<li>Programming with Python </li>
Scripting versus application development, Python
interactive mode, Python scripts, Python 2.7 vs
Python 3. A simple Python script. Variables,
loops, control statements, operators. PEP style
guide. Python IDEs. Hands on Simple Python
programs.
<li>More Python programming </li>
Functions. Classes, objects and instances,
modules, libraries, packages. Python strings,
Python file handling, pip list, pip install, Hands on
Python programming with pyping.
<li>Git </li>
Distributed version control, repositories, Git and
GitHub, Alternatives to GitHub, Installing git, git
workflows, creating repositories, adding and
editing files, branching and merging, merge
conflicts. Hands on working with Git.
<li>Python and networking </li>
APIs, Sockets, Telnetlib, pysnmp, ncclient,
ciscoconfparse.
<li>Paramiko SSH and Netmiko </li>
Integrating Python and network devices using
SSH. Netmiko, Netmiko methods. Hands on
Netmiko.
<li>PyEZ </li>
Juniper, NETCONF, installing PyEZ, a first pyEZ
script, pyEZ configuration management. Hands on Juniper configuration management with pyEZ.
<li>NAPALM </li>
What is NAPALM, NAPALM operations, getters,
Replace, merge, compare, commit, discard.
 Hands on Configuration with NAPALM.
Integrating ansible and NAPALM.
<li>Python and REST </li>
REST APIs, enabling the REST API. Accessing
the REST API with a browser, cURL, Python and
REST, the request library. Hands on Using a
REST API with network devices.

 </ul>

Network automation for engineers

<h3>Network DevOps course description</h3>
 This course is not a soft skills course covering the
concepts of DevOps but instead concentrates on the
technical side of tools and languages for network
DevOps. Particular technologies focussed on are
ansible, git and Python enabling delegates to leave the
course ready to starting automating their network.
Hands on sessions follow all major sections. More
detailed courses on individual aspects of this course
are available. 
 
				<h5>What will you learn</h5>
				<ul>
				 
 <li>Evaluate network automation tools.</li>

<li>Automate tasks with ansible.</li>
<li>Use git for version control.</li>
<li>Use Python to manage network devices.</li>
<li>Use Python libraries for network devices.
</li>
 </ul>
 <h5>
 Network DevOps course details </h5>
				<div>
					<div>
						<ul>
							<li> Who will benefit: </li>
							
 Administrators automating tasks.
 
							<li>Prerequisites:</li>
							
 TCP/IP Foundation
 
							<li>Duration</li>
							
 5 days
						
 
							
 
 
						</ul>
					</div>
				</div>
 <h3>Network DevOps course contents</h3>
 <ul>
				<li>What is DevOps </li>
Programming and automating networks, networks and clouds, AWS, OpenStack, SDN, DevOps for network operations.

<li>Initial configuration </li>
Configuring SSH, ZTP, POAP.
 Hands on Initial lab configuration.

<li>Getting started with ansible </li>
The language, the engine, the framework. Uses of ansible, orchestration. The architecture, Controlling machines, nodes, Agentless, SSH, modules. Configuration management, inventories, playbooks, modules, roles.
 Hands on Installing ansible, running ad hoc commands.

<li>Ansible playbooks </li>
ansible-playbook, YAML, plays, tasks, handlers, modules. Playbook variables. Register module, debug module.
 Hands on Running playbooks.

<li>Ansible Inventories </li>
/etc/ansible/hosts, hosts, groups, static inventories, dynamic inventories. Inventory variables, external variables. Limiting hosts.
 Hands on Static inventories, variables in inventory files.

<li>Ansible modules for networking </li>
Built in modules, custom modules, return values. Core modules for network operations. Cisco and/or Juniper modules. ansible_connection. Ansible 2.6 CLI.
 Hands on Using modules.

<li>Ansible templating and roles </li>
aConfiguration management, full configurations, partial configurations. The template module, the assemble module, connection: local, Jinja2 templates, variables, if, for, roles.
 Hands on Generating multiple configurations from a template.

<li>Network programming and modules </li>
	Why use Python? Why use ansible? alternatives, ansible tower, Linux network devices.

<li>Programming with Python </li>
Python programming Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip instal.
 Hands on Python programming with pyping.

<li>More Python programming </li>
Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip install.
 Hands on Python programming with pyping.

<li>Git </li>
	Distributed version control, repositories, Git and GitHub, Alternatives to GitHub, Installing git, git workflows, creating repositories, adding and editing files, branching and merging, merge conflicts.
 Hands on working with Git.

<li>Python and networking </li>
APIs, Sockets, Telnetlib, pysnmp, ncclient, ciscoconfparse.

<li>Paramiko SSH and Netmiko </li>
Integrating Python and network devices using SSH. Netmiko, Netmiko methods.
 Hands on Netmiko.

<li>NAPALM </li>
What is NAPALM, NAPALM operations, getters, Replace, merge, compare, commit, discard.
 Hands on Configuration with NAPALM. Integrating ansible and NAPALM.

<li>Python and REST </li>
REST APIs, enabling the REST API. Accessing the REST API with a browser, cURL, Python and REST, the request library.
 Hands on Using a REST API with network devices.
 </ul>

DevOps for networking engineers

<h3>Jenkins training course description</h3>
 
 An introduction to Continuous Integration and
development (CI/CD) in network automation using
Jenkins. The course focusses specifically on the
network Devops case of using Jenkins.
 
				<h5>What will you learn</h5>
				<ul>
				 
 <li>Explain how Jenkins can help with network
automation.</li>
					<li>Configure Jenkins for network Devops.</li>
					<li>Use Jenkins for network automation.</li>
 </ul>
 <h5>
 Jenkins training course details </h5>
				<div>
					<div>
						<ul>
							<li> Who will benefit: </li>
							
 Network engineers.
 
							<li>Prerequisites:</li>
							
 TCP/IP Foundation
 
							<li>Duration</li>
							
 1 day
						
 
							
 
 
						</ul>
					</div>
				</div>
 <h3>Jenkins training course contents</h3>
 <ul>
				<li>What is Jenkins?</li>
DevOps, CI/CD, version control systems, git,
automating execution of tasks, Jenkins job,
Jenkins pipeline, Jenkins plugins, CI server.
 Hands on Installing Jenkins.
<li>Example pipeline for network automation </li>
YAML, GitHub, Jenkins, ansible, network devices.
 Hands on Investigating a workflow: Auto
deploying network configurations.
<li>Configuring Jenkins 	</li>
Code repository, build triggers, gerrit and reviews,
build environment. A Jenkins job, build step, post
build actions, running a Jenkins job, build log,
home directory. Hands on Configuring Jenkins.
<li>CI using Jenkins </li>
Branches, pipeline, git, the git plugin. Hands on A
Jenkins job to poll, build and unit test network
configurations.

 </ul>

Jenkins for network engineers

<h3>Network automation training course description</h3> 
				 This course concentrates on the technical side of tools
and languages for network DevOps rather than the soft
skills. These tools include Python, Ansible, Git and
NAPALM
By the end of the course delegates should be able to
recognise the tools that they can use to automate their
networks and be able to use the knowledge gained to
feel confident approaching network automation.
 
				<h5>What will you learn</h5>
				<ul>
				 
 <li>Describe network DevOps.</li>
					<li>Choose network automation tools.</li>
 <li>Explain the role of various network automation
technologies including: 

 Python 
 Ansible 
 Git 
											NAPALM</li>
 </ul>
 
 <h5>
 Network automation training course details </h5>
				<div>
					<div>
						<ul>
							<li> Who will benefit: </li>
							
 Those wishing to learn about the tools of network
automation.
 
							<li>Prerequisites:</li>
							
 Introduction to data communications.
 
							<li>Duration</li>
							
 1 day
						
 
							
 
 
						</ul>
					</div>
				</div>
 <h3>Network automation training course contents</h3>
 <ul>
				<li>What is DevOps and network automation</li>
Programming and automating networks, networks
and clouds, AWS, OpenStack, SDN, DevOps for
network operations. Unit testing. Hype vs reality.
Benefits and features.
				<li>Network monitoring and troubleshooting</li>
Traditional methods, SNMP. Netflow and xflow.
Traditional automation. Streaming telemetry.
Event driven automation. gRPC, Protocol buffers.
<li>Configuration management</li>
Catch 22 and initial configuration. ZTP, POAP.
Traditional automation. TFTP. Ansible vs the rest
(chef, salt, puppet). Jinja2 and templating. How
ansible works.
<li>Network programmability</li>
Programming languages. Linux, shell scripting.
Python vs the rest. Off box vs on box automation.
<li>Python network libraries</li>
Sockets pysnmp, ncclient, paramiko, netmiko,
pyez, NAPALM.
<li>APIs</li>
Proprietary APIs, CLI, NETCONF, RETCONF.
YANG, XML, YAML, JSON.
<li>Other tools</li>
Git, GitHub, Jenkins, JIRA and others.


 </ul>

Network automation demystified

<h3>Objective-C programming training course description</h3>
 A hands on introduction that will allow you to master
Objective-C and start using it to write powerful native
applications for even the newest Macs and iOS
devices! Using The step-by-step approach, will let you
get comfortable with Objective-C's unique capabilities
and Apple's Xcode 5 development environment. Make
the most of Objective-C objects and messaging. Work
effectively with design patterns, collections, blocks,
foundation classes, threading, Git and a whole lot more.
Every session builds on what you've already learned,
giving a rock-solid foundation for real-world success!
 
				<h5>What will you learn</h5>
				<ul>
				 
	 <li>Use Xcode 5.</li>
					<li>Declare classes, instance variables, properties,
methods, and actions.</li>
 <li>Use arrays, dictionaries, and sets.</li>
 <li>Expand and extend classes with protocols,
delegates, categories, and extensions.</li>
 <li>Use Apple's powerful classes and frameworks.</li>
 </ul>
 <h5>
 Objective-C programming training course details </h5>
				<div>
					<div>
						<ul>
							<li> Who will benefit: </li>
							
 Developers wanting to learn Objective-C.
							
 
							<li>Prerequisites:</li>
							
 Software development fundamentals.
							
 
							<li>Duration</li>
							
 5 days
						
 
							
 
 
						</ul>
					</div>
				</div>
 <h3>Objective-C programming training course contents</h3>
 <ul>
				<li>PART 1: GETTING STARTED WITH OBJECTIVE-C </li>
<li>The Developer Program:</li>
Objective-C, enrolling as an Apple Developer, setting up the development environment, Xcode. Your first project.

<li>OO programming with Objective-C: </li>
OO projects, Frameworks, classes and instances, encapsulation, accessors, Inheritance.

<li>OO features in Objective-C: </li>
Messages, methods, working with id, nesting messages, method signatures and parameters. allocating and initializing objects. Using Xcode: Xcode, source code control, git and Xcode, Using a Remote Repository.

<li>Compiler Directives: </li>
Projects, Compiler Directives, Prefix headers, main.m, .h files.


<li>PART 2: OBJECTIVE-C BASICS </li>
 <li>Messaging in a Testbed App: </li>
Setting Up the Testbed Apps, Adding a Text Field and Connecting It to Your Code, Sending a Message to the Text Field, Reviewing the Message Syntax.

<li>Declaring a Class in an Interface File: </li>
Context, Creating an Instance Variable with id, What Happens When Execution Stops, dynamic binding, Creating an Instance Variable for with the Class Name and with a Superclass Name, instance variable visibility.

<li>Properties in an Interface File: </li>
Interface Variables vs Properties, Declared Properties, Using Attributes. Implementing Properties. @synthesize, @dynamic.

<li>Methods in an Interface File: </li>
Methods in a Class, class and instance methods, Method declaration, returning complex data structures from Methods.

<li>Actions in an Interface File: </li>
Actions, Actions in OS X and iOS, disconnecting actions.

<li>Routing messages with selectors: </li>
Receiver and selector objects in messages, Objective-C Runtime, SEL and @selector (), performSelector, NSInvocation, testing whether an Instance can respond to a selector.

<li>Building on the Foundation: </li>
The Foundation Framework, Foundation Classes, Foundation Paradigms and Policies; Mutability, class clusters, notifications.

<li>Defining a Class in Implementation Files: </li>
Projects, dynamic typing, creating a new App, implementing a method, expanding Classses with init Methods.

<li>Organizing Data with Collections: </li>
Collecting Objects, Property Lists, Runtime, comparing the Collection Classes, Creating a Collection, Objective-C Literal Syntax, Enumerating collections, Testing Membership in a Collection, Accessing an Object in a Collection.

<li>Managing Memory and Runtime Objects: </li>
Managing objects in memory, managing reference counts manually and with ARC, variable qualifiers, variable autorelease.


			<li>PART 3: EXPANDING AND EXTENDING CLASSES </li>
<li>Protocols and Delegates: </li>
Subclassing, Protocols, Delegates, Looking Deeper Inside Protocols.

<li>Categories and Extensions: </li>
Comparing categories and protocols, categories vs subclasses, working with categories, class extensions, informal protocols.

<li>Associative References and Fast Enumeration: </li>
Objective-C 2.0 Time-Saving Features, Extending Classes by Adding Instance Variables (Sort of), Using Fast Enumeration.

<li>Blocks: </li>
Revisiting Blocks, Callbacks, Blocks, Exploring Blocks in Cocoa, Cocoa Blocks and Memory.


	<li>PART 4: BEYOND THE BASICS </li>
<li>Handling Exceptions and Errors: </li>
Exception and Error classes: NSException, NSError, Identifying exceptions, throwing exceptions, catching exceptions.

<li>Queues and Threading: </li>
Getting Started with Concurrency, Introducing Queues, Dispatch Sources, Using Dispatch Queues.

<li>Working with the Debugger: </li>
Logging Information, Console Logs, NSLog, Smart Breakpoints, enhancing breakpoints with messages.

<li>Using Xcode Debug Gauges for Analysis: </li>
Debug Gauges, Monitoing CPU and memory utilization, monitoring energy, Using Instruments.


<li>PART 5: OPTIONAL TOPICS </li>
<li>C Syntax Summary: </li>
Data Types, Control Structures.

<li>Apps, Packages, and Bundles: </li>
Project Bundles, lproj Files, Asset Catalogs, plist Files, Precompiled Header Files (.pch).

<li>Archiving and Packaging Apps for Development and Testing: </li>
Archiving.
			
 </ul>

Objective-C programming

<h3>Definitive Puppet training course description</h3>
 Puppet is a framework and toolset for configuration
management. This course covers Puppet to enable
delegates to manage configurations. Hands on
sessions follow all the major sections.
 
				<h5>What will you learn</h5>
				<ul>
				 
			<li>Deploy Puppet.</li>
																					<li>Manage configurations with Puppet.</li>
 <li>Build hosts with Puppet.</li>
																					<li>Produce reports with Puppet.</li>
 </ul>
 <h5>
 Definitive Puppet training course details </h5>
				<div>
					<div>
						<ul>
							<li> Who will benefit: </li>
							
 Anyone working with Puppet.
 
							<li>Prerequisites:</li>
							
							Linux fundamentals.
 
							<li>Duration</li>
							
 2 days
						
 
							
 
 
						</ul>
					</div>
				</div>
 <h3>Definitive Puppet training course contents</h3>
 <ul>
				<li>Getting started with Puppet</li>
What is Puppet, Selecting the right version of Puppet, Installing Puppet, Configuring Puppet.

<li>Developing and deploying Puppet </li>
The puppet apply command and modes of operation, Foreground Puppet master, Developing Puppet with Vagrant, Environments, Making changes to the development environment, Testing the new environments with the Puppet agent, Environment branching and merging, Dynamic Puppet environments with Git branches, Summary, Resources.

<li>Scaling Puppet </li>
Identifying the challenges, Running the Puppet master with Apache and Passenger, Testing the Puppet master in Apache, Load balancing multiple Puppet masters, Scaling further, Load balancing alternatives. Measuring performance, Splay time, Summary, Going further, Resources.

<li>Externalizing Puppet configuration </li>
External node classification, Storing node configuration in LDAP, Summary, Resources.

<li>Exporting and storing configuration </li>
Virtual resources, Getting started with exported and stored configurations, Using exported resources, Expiring state resources, Summary, Resources.

<li>Puppet consoles </li>
The foreman, Puppet enterprise console, Puppetboard, Summary, Resources.

<li>Tools and integration </li>
Puppet forge and the module tool, Searching and installing a module from the forge, Generating a module, Managing module dependencies, Testing the modules, Developing Puppet modules with Geppetto, Summary, Resources.

<li>Reporting with Puppet </li>
Getting started, Configuring reporting, Report processors, Custom reporting, Other Puppet reporters, Summary, Resources.

<li>Extending Facter and Puppet </li>
Writing and distributing custom facts, Developing custom types, providers and functions, Summary, Resources, Complex data structures, Additional backends, Hiera functions in depth, Module data bindings, Hiera examples. Jiera-2, Summary, Resources.

<li>Mcollective </li>
Installing and configuring Mcollective, testing, Mcollective plugins, accessing hosts with Metadata.

<li>Hiera </li>
Lists, initial Hiera configuration, Hiera command line utility, complex data structures, additional backends, Hiera functions in depth, module data bindings. Hiera-2.
 </ul>

Definitive Puppet for engineers

<h3>Advanced Python training course description</h3>
 This course caters to network engineers aiming to
enhance both their Python proficiency and network
automation skills. Delving deeper into key areas such
as netmiko, Nornir, and ncclient, we also focus on
automating network testing and validation. Participants
gain greater confidence working with Python functions,
classes, objects, and error handling. The course
additionally introduces more libraries like Scrapli, TTP,
pyATS, Genie, pybatfish, and Suzieq, which cover
parsing strategies, automation testing, validation,
network analysis, observability, and telemetry. The
curriculum also encompasses concurrency techniques.
 
				<h5>What will you learn</h5>
				<ul>
				 
 <li>Write Python modules and functions.</li>
<li>Evaluate techniques to parse unstructured data.</li>
<li>Use NETCONF filters.</li>
<li>Handle Python errors effectively (try, assertâ¦).</li>
<li>Use postman.</li>
<li>Automate testing and validation of the network.</li>
<li>Use scrapli, Genie, batfish and Suzieq. </li>
 </ul>
 <h5>
 Advanced Python training course details </h5>
				<div>
					<div>
						<ul>
							<li> Who will benefit: </li>
							
 Network engineers.
 
							<li>Prerequisites:</li>
							
 Python for network engineers
 
							<li>Duration</li>
							
 5 days
						
 
							
 
 
						</ul>
					</div>
				</div>
 <h3>Advanced Python training course contents</h3>
 <ul>
		<li>Review</li>
CLI, NETCONF, RESTCONF, structured versus
unstructured data, gNMI and when to use which.
PEP 8. Naming conventions. Packages, modules,
Classes and methods. The scrapli library. Netmiko
versus scrapli. Hands on: scrapli, Dictionaries
versus Regular Expressions.

		 <li>Modules and Functions</li>
Writing your own modules, containers versus
packages, virtual environments. Best practices,
calling functions, writing your own functions.
Parameters, arguments. Named arguments,
dictionaries as arguments. Builtins. Docstrings.
Main. __name__, __main__ . Program arguments.
 Hands on: Getting interfaces, showing interface
status using Netmiko and functions. Using
dictionaries as arguments. Writing your own
modules.

		 <li>Parsing strategies</li>
Turning unstructured data into structured data.
textfsm, PyATS Genie parser, NAPALM getters,
Template Text Parser. Hands on: Genie parser,
TTP. Accessing structured data with lists and
dictionaries.

				<li>Classes, objects and Python</li>
Python classes in Genie, PyEZ and others .
 Hands on: studying network automation classes,
objects, methods and attributes.

			<li>Configuration management - more nornir, ncclient,
requests</li>
Nornir tasks. Nornir results, Nornir functions,
Nornir plugins. Nornir processors. YANG, YANG
models, pyang. NETCONF hello. Capabilities.
Schemas. Filters. Subtrees. XPATH. Exploring
available YANG data models. NETCONF and
network wide transactions. Asserting NETCONF
capabilities. Configuration types. Locking
configurations, commits. NETCONF data stores.
Netconf-console. RESTCONF differences from
NETCONF. URI construction. Postman. More XML
and JSON. Git and configuration versions. Hands
on: Nornir and Jinja2. Exploring available models,
NETCONF filters. Using postman.

		<li>Python error handling and debugging</li>
Context handlers, try, assert, logging, pdb, pytest,
unit testing, chatgpt. Hands on: Writing code with
each of the error handling methods, investigating
what happens on an error. Use chatgpt to debug
your code.

	<li>Python Automation Testing</li>
Testing and validation. pyATS, Genie. Testbed
file. Genie parse, genie learn, genie diff. Genie
conf, Genie ops, Genie SDK, Genie harness.
Xpresso. Hands on: Using Genie for state
comparisons of the network.

	<li>Network analysis</li>
Batfish, pybatfish, configuration analysis,
analysing routing, analysing ACLs. Pandas.
Pandas dataframe. Filtering and selecting values
of interest. Hands on: Use Batfish to analyse
network snapshots, find network adjacencies, flow
path analysis.

	<li>Network observability</li>
Suzieq, using docker, using as a package. Sqpoller, suzieq-gui, suzieq-cli, sq-rest-server.
Namespaces and seeing devices, network state
and Asserts. Time based analysis, snapshots and
changes. Hands on: Suzieq: Gathering data from
the network, analysing data from the network.
Network state assertion.

	<li>Telemetry</li>
gRPC, gNMI. CAP, GET, SET. Subscriptions.
Model Driven telemetry. Hands on: Analysing
telemetry data with Python.

		<li>Concurrency</li>
asyncio, threads, processes. Nornir concurrency.
Scrapli and netmiko concurrency. Hands on:
Multiple SSH connections to devices at same
time. Scarpli asyncio.
		


 </ul>

Advanced Python for network engineers

<h3>Network management technologies course description</h3>
 A comprehensive tour of the available network
management technologies available for todays
networks. The course starts with basic tools such as
syslog along with Python network automation. SNMP is
then covered with the *flow technologies and streaming
telemetry. Configuration management with ansible,
Python, NETCONF and RESTCONF is then studied.
The final part of the course looks at SDN. Hands on
sessions are used throughout to reinforce the theory
rather than teach specific manufacturer equipment.
Note that sections are available as individual courses.

 
				<h5>What will you learn</h5>
				<ul>
				 
 <li> Evaluate network management technologies.</li>
 					 <li> Evaluate network management technologies.</li>
<li> Recognise the weaknesses of SNMP versus
NETCONF and streaming telemetry.</li>
<li>Explain the role of NETCONF and RESTCONF.</li>
<li>Compare &amp; contrast *flow and streaming telemetry.</li>
<li> Explain the role of SDN in network management.</li>
<li>Automate network configuration with ansible and
Python.
</li>
 </ul>
 <h5>
 Network management technologies course details </h5>
				<div>
					<div>
						<ul>
							<li> Who will benefit: </li>
							
							Those wishing to manage networks. (Previous Python experience is NOT needed)

 
							<li>Prerequisites:</li>
							
 Intro to data comms
 
							<li>Duration</li>
							
 5 days
 
							
 
 
						</ul>
					</div>
				</div>
			
				 <h3>Network management technologies course content</h3>
				<h4>Basic network management</h4>

				 <ul>
		<li>Network management</li>
What is network management? Benefits, issues.
FCAPS model. Fault management, Configuration
management, accounting, performance, security.
What to manage, what not to manage. Managing
network devices, managing servers.
				</ul>
<h4>Monitoring networks</h4> <ul>					 
<li>Traditional network tools</li>
Ping..., SSH, syslog, TFTP for configurations.
nmap. Wireshark. CLI. Web based management.
Splunk. Nessus, snort, Kali. 
 Hands on syslog, network inventories.

 </ul> <ul><li>Network automation using the CLI</li>
Programming and automating networks, netOps.
Python, Git. Python network modules, SSH,
paramiko, netmiko. EVE-NG.
 Hands onPython
network modules.

</ul> <ul><li>Structured versus unstructured data</li>
				
Problems with automation and unstructured data.
XML, JSON, YAML. The role of YANG. Hands on
Parsing data.
				
</ul> <ul><li>SNMP</li>
SNMP architecture, SNMP MIBs, SMI, the SNMP
protocol, polling security. Configuring SNMP.
SNMPv1, v2, v3, SNMP security. Which version
should you use? MIBs and MIB structure. mib-2,
extra parts of mib-2, Private enterprise MIBs.
Summary: What SNMP is good/bad at. Hands on
Configuring agents and a NMS. MIB browsing.
				
</ul> <ul><li>Server management</li>
Microsoft, Linux, application polling. WMI vs
SNMP. Hands on: Application polling.</ul>
				
<h4>Performance management</h4>
 <ul><li>*flow</li>
Polling, push vs pull, netflow, sflow, IPFIX, *flow.
Flows. Where to monitor traffic. Comparing *flow
with SNMP. Architecture: Generators and
collectors. When flows are exported. NetFlow
reporting products. SolarWinds. Hands on Netflow
configuration. Collectors.

</ul> <ul><li>Streaming telemetry</li>
Model driven telemetry, periodic/on change.
Structured data. Telemetry protocol stack. gRPC
and gNMI. Protobuf. gNMI operations. Telemetry
architecture. Telegraf, databases, Grafana. Hands on Telemetry example.
</ul>		
<h4>Configuration management</h4>
 <ul><li>Configuration management tools</li>
Chef, puppet, ansible, saltstack. Ansible
architecture, controlling machines, nodes,
agentless, SSH, modules. Inventories, playbooks,
modules, network modules, jinja2 templates.
 Hands on Network configuration with ansible.
	
</ul> <ul><li>NETCONF</li>
What is NETCONF? Protocol stack, Data stores,
traffic flows, validating configurations, rollback.
YANG data models and how YANG is used by
NETCONF. XML. Explorers and other tools.
 Hands on anx, Python and NETCONF.

</ul> <ul><li>RESTCONF</li>
The REST API, HTTP, What is RESTCONF?
Tools including Postman. Comparison with
NETCONF. Hands on Configuration with
RESTCONF.
	
</ul> <ul><li>Python network automation: configuration</li>
SSH issues. Using structured data. Jinja2.
ncclient, requests, NAPALM, Nornir. Automated
testing. Hands on Python network device
configuration with nornir.</ul>
	
<h4>Software Defined Networks and orchestration</h4>
 <ul><li>Classic SDN</li>
What is SDN? benefits. SDN architecture. SDN
applications, SDN switches, SDN controllers,
Network Operating Systems. Control plane, data
plane. Northbound interfaces. SDN components.
Southbound interfaces. OpenFlow. ONF,
OpenFlow ports, Flow tables.
	
</ul> <ul><li>Network virtualization</li>
Virtual networks, virtual switches, NfV. Service
chaining. NfV and SDN.
	
</ul> <ul><li>SDN implementations</li>
Classic SDN, Hybrid SDN, SDN via APIs, SDN
via overlays. Data centre SDN, VXLAN, Service
Provider SDN, SD WAN, Enterprise SDN, WiFi.
	
</ul> <ul><li>SDN and open source</li>
OpenDaylight, OpenVSwitch, Open Networking
Forum, Open Network Operating System. Hands onOpenStack.
	
</ul> <ul><li>SD-WAN</li>
What is SD-WAN? Architecture: Edge, gateway,
orchestrator, controller. Overlay and underlay.
Use of MPLS, 4G/5G. Benefits and features.
Secure Access Service Edge (SASE).

 
 
				
				
				 </ul>

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