VMware NSX Advanced Load Balancer: Infrastructure and Application Automation

• Course logistics and introductions
• Course goals and objectives

• NSX Advanced Load Balancer introduction.
• Go over the advantages and use cases of NSX Advanced Load Balancing.
• Describe the architecture and components of the NSX Advanced Load Balancer.
• Describe the functions and planes of management, control, data, and consumption.

• Explain Virtual Service components
• Explain Virtual Service types
• Explain and configure essential virtual services components such as Application Profiles, Network Profiles, Pools and Health Monitors

• Explain and deep dive into Pool configuration options
• Describe multiple load-balancing algorithms
• Explain multiple Health Monitor types
• Explain Persistent multiple profiles
• Explain, configure and use Pool Groups

• Describe the automation vision for NSX Advanced Load Balancing.
• Describe and introduce the REST API for the NSX Advanced Load Balancer.
• Describe the methods and features of the NSX Advanced Load Balancing REST API.
• Describe the tenancy model, authentication, and other session management features of the NSX Advanced Load Balancer REST API.
• An in-depth look at the REST API object model for the NSX Advanced Load Balancer.
• Using a browser and command-line tools, describe and research the NSX Advanced Load Balancer REST API.
• Using the browser, Postman, and Curl to describe and interact with the NSX Advanced Load Balancer REST API.
• Describe API documentation based on Swagger.

• Describe the NSX Advanced Load Balancer Inventory API and use it.
• Describe and use NSX Advanced Load Balancer methods, including GET, PUT, POST, and PATCH, as well as the related queries, filters, and parameters.
• Deep dive into the PATCH method for the NSX Advanced Load Balancer.
• NSX Advanced Load Balancer Analytics API explanation and use.
• NSX Advanced Load Balancer MACRO API explanation and use.

• NSX Advanced Load Balancer SDKs will be introduced.
• Explain, set up, and use the Python SDK for NSX Advanced Load Balancing.
• Deep dive into the Python SDK for the NSX Advanced Load Balancer.
• Explaining and utilising the Golang SDK.
• To hasten the adoption of SDKs, use NSX Advanced Load Balancer open source resources like Github, etc.
• Describe the Events and Alerts structure for NSX Advanced Load Balancing.
• Outline the ControlScripts fundamentals.
• Use ControlScripts to automate alert remediation and settings changes.

• Introduce NSX Advanced Load Balancer Configuration Orchestration and Management vision
• Introduce and explain Ansible foundations
• Describe Ansible and NSX Advanced Load Balancer Ansible capabilities
• Deep dive and implement NSX Advanced Load Balancer Ansible Core configuration modules

• (avinetworks/avid)
• Deep dive and implement Ansible NSX Advanced Load Balancer Declarative configuration role
• (avinetworks/aviconfig)
• Leverage Swagger NSX Advanced Load Balancer REST API models to develop and implement Ansible
• playbooks
• Explain the application delivery configuration automation approach and models
• Apply configuration automation models with Ansible
• Introduce and explain Terraform foundations
• Describe Terraform and NSX Advanced Load Balancer Terraform capabilities
• Deep dive and implement NSX Advanced Load Balancer Terraform Provider
• Leverage Swagger NSX Advanced Load Balancer REST API models to develop and implement Terraform
• plans
• Apply configuration automation models with Terraform

• Introduce NSX Advanced Load Balancer infrastructure Automation vision
• Describe the infrastructure deployment approach and capabilities
• Describe Ansible and NSX Advanced Load Balancer Ansible Infrastructure deployment approach and capabilities
• Describe Terraform and NSX Advanced Load Balancer Terraform deployment approach and capabilities
• Leverage Terraform to deploy Controllers and perform system configuration, including control plane cluster setup
• Leverage Terraform to provision Cloud, Service Engine Groups, and Service Engine components
• Describe and leverage Ansible roles to deploy Controllers and perform initial system configuration, including control plane cluster setup
• Leverage Ansible declarative and core roles to provision Cloud, Service Engine Groups, and Service Engine components
• Describe and implement a combined Terraform + Ansible model to streamline NSX Advanced Load Balancer solution deployment

A: Radiant Techlearning is headquartered in the Electronic city & technology hub of Northern India, Noida, surrounded by several large multinational, medium & small Software companies. We have offices located all across the country and partners across the globe.

A: For participants' hands-on practise, Radiant Techlearning includes a data centre with a virtual training environment. With the use of a remote desktop connection, participants can effortlessly access these laboratories over the cloud. You may learn from anywhere and in any time zone with radiant virtual laboratories.

A: The learners will be enthralled as we engage them in the natural world and Oriented industry projects during the training program. These projects will improve your skills and knowledge and give you a better experience. These real-time projects will help you a lot in your future tasks and assignments.

A: To know about the fees details, you can email us at training@radianttechlearning.com with your requirement in detail containing the below information

In the case of Self/ Individual

• Training Program
• Training Mode (Online/ Classroom)
• Location (in case of the classroom):
• Background (Education/ Technology/ Year of experience, etc. )
• Training Timeline

In the case of Corporate Training

• Training Program of Participants
• Training Mode (Online/ Classroom)
• Location (in case of the classroom):
• Participant’s Background (Education/ Technology/ Year of experience, etc.)
• Training Timeline
• Expectations from the training program

A: 

• Experienced system administrators and network administrators
• Network and security professionals who work with enterprise networks

A: This course has a duration of 3 days.

A: No. These training programs are helping to improve your skills & knowledge of the technology, which would allow you to land your dream job by learning them.

Our training program will maximize your ability and chances of getting a successful job. You have to select a job according to your convenience. Your performance in the training program and interview is crucial for getting a good job.

A: Yes, your employer can pay your fees.

A: The learners will be enthralled as we engage them in the natural world and Oriented industry projects during the training program. These projects will improve your skills and knowledge and give you a better experience. These real-time projects will help you a lot in your future tasks and assignments.