OPENSTACK PRIVATE CLOUD ADMINISTRATION Training in Bristol

Enroll in or hire us to teach our OPENSTACK PRIVATE CLOUD ADMINISTRATION class in Bristol, Connecticut by calling us @303.377.6176. Like all HSG classes, OPENSTACK PRIVATE CLOUD ADMINISTRATION may be offered either onsite or via instructor led virtual training. Consider looking at our public training schedule to see if it is scheduled: Public Training Classes
Provided there are enough attendees, OPENSTACK PRIVATE CLOUD ADMINISTRATION may be taught at one of our local training facilities.
We offer private customized training for groups of 3 or more attendees.

Course Description

 
This course covers the fundamentals of the OpenStack open source IAAS (Infrastructure As A Service) cloud solution, used for creating private clouds. After a short cloud and OpenStack primer, students will learn the architecture of OpenStack. This course introduces base components in detail such as the Horizon GUI dashboard and the OpenStack CLI. Other components learned are the Keystone identity system, the Nova compute service, the Neutron network service, and software-defined networking, the Glance image service, the Cinder block storage service, the Ceilometer metering solution, the Heat orchestration services, and the Swift object store.
Course Length: 4 Days
Course Tuition: $1790 (US)

Prerequisites

Basic Linux systems administration, networking, and virtualization.

Course Outline

 
  1. INTRODUCTION
    1. Overview
    2. Core Projects
    3. Core Project - Nova
    4. Core Project - Neutron
    5. Core Project - Glance, Cinder
    6. Core Project - Ceilometer
    7. Core Project - Heat
    8. Core Project - Swift
    9. OpenStack Architecture
    10. Virtual Machine Provisioning Walk Through
    LAB EXERCISES
    1. Understanding the classroom environment
    2. Perform initial health check
    3. Test instance creation
  2. CONTROLLER NODE
    1. Overview Horizon and OpenStack
    2. Keystone Architecture
    3. Keystone workflow (simplified)
    4. Keystone Services
    5. Keystone backends
    6. Keystone v3 – domains/groups
    7. Keystone - User/tenant maintenance
    8. Keystone – service catalog
    9. Service APIs + keystone
    10. Troubleshooting Keystone - Cases
    11. Openstack messaging - AMQP
    12. OpenStack Messaging and Queues
    13. Messaging example with Oslo-RPC
    14. Message Queue Configuration
    15. Troubleshooting RabbitMQ - Service
    16. Message Queue Configuration
    17. Image Management
    18. Glance overview
    19. Glance CLI overview
    20. Troubleshooting Glance - Cases
    LAB EXERCISES
    1. Keystone
    2. Glance
  3. CINDER
    1. Block Storage
    2. Volume creation flow
    3. Volume operations
    4. Cinder CLI - create
    5. Cinder CLI – extend
    6. Cinder CLI - snapshot
    7. Cinder CLI – backup/restore
    8. Cinder – encrypted volumes
    9. Encrypted volumes - CLI
    10. Cinder quotas
    11. Troubleshooting Cinder - Cases
    12. Considerations for block storage
    LAB EXERCISES
    1. Create volume
    2. Attach volume to an instance
    3. Extend a volume
    4. Using snapshot
    5. GlusterFS as backend for Cinder (optional)
  4. COMPUTE NODE
    1. Linux virtualization basics
    2. Hypervisors, KVM, Linux bridges
    3. VM Placement
    4. VM provisioning in-depth
    5. Instance management
    6. Nova CLI overview
    7. Boot/Terminate Instance
    8. Attach volume to instance
    LAB EXERCISES
    1. Setup
    2. VM placement
    3. Instance post configuration
    4. Image customization
    5. Migration (optional)
  5. NETWORK NODE
    1. Networking in OpenStack
    2. OpenStack Networking Concepts
    3. Nova-network vs. Neutron
    4. Neutron architecture and plugins
    5. OpenVSwitch concepts
    6. Neutron agents
    7. Network management
    8. Neutron CLI overview
    9. Manage networks
    10. Manage subnets
    11. Manager routers
    12. Manage ports
    13. Manage floating IPs
    LAB EXERCISES
    1. Neutron CLI
    2. Working with security groups
    3. Debugging data flows
    4. Manage network as a tenant
    5. Create Neutron load-balancer (optional)
  6. CEILOMETER
    1. Ceilometer background and use cases
    2. Ceilometer architecture
    3. Ceilometer meters and pipelines
    4. Ceilometer deployment
    LAB EXERCISES
    1. Ceilometer health check
    2. Start instance
    3. Check VM with ceilometer
    4. Alarm setup
  7. HEAT
    1. Heat Overview
    2. Architecture
    3. AWS CloudFormation template format
    4. Heat services
    5. heat-api
    6. heat-cfn-api
    7. heat-engine
    8. Configuring Heat
    9. Configuring images for use with Heat
    10. Creating a stack
    LAB EXERCISES
    1. Basic static template
    2. Template using input parameters and environment
    3. Nested templates
    4. Template with auto-scaling
  8. OBJECT STORAGE SERVICE - SWIFT
    1. Swift Overview
    2. Swift Architecture
    3. Accounts, containers, objects, and rings
    4. Nodes types : auth, proxy, storage
    5. Partitions, zones, replication
    6. Using Swift
    7. Accounts
    8. Creating and managing objects
    9. Object server management
    10. Container server management
    11. Account server management
    12. Proxy server management
    13. Ring management
    14. Large objects
    LAB EXERCISES
    1. Start storage nodes and configure swift
    2. Upload files
    3. Practice ACL and Expiration usage
    4. Swift backend for glance

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Linux Uses & Stats

Linux is Used For:
Desktop Mainframe Computers Mobile Devices Embedded Devices
Difficulty
Popularity
Year Created
1991/1971
Pros
Performance:
Linux supports many efficient tools and operates them seamlessly. Because it's architecture is lightweight it runs faster than both Windows 8.1 and 10. 
 
Security:
Because Linux is an open-source software,  anyone can contribute code to help enhance the users’ experience i.e., adding features, fixing bugs, reducing security risks, and more.
 
 
Software Development:
The terminal in Linux is a *wild card*. You can do almost anything with it. This includes software installation, application and server configurations, file system management, and etc.
 
Large-scale:
Open-source projects benefit from having an attentive community. As a result, Linux is more secure than Windows. Instead of installing anti viruses to clean malware, you just have to stick to the recommended repositories. 
 
Efficient: 
Developers have the convenience of running servers, training machine learning models, accessing remote machines, and compiling and running scripts from the same terminal window. 
 
Free: 
Linux is free (you can put it on as many systems as you like) and you can change it to suit your needs.
Cons
Learning Curve: 
Linux is not for everyone, there is a learning curve in switching to Ubuntu. To actually learn Linux efficiently would take a user one to several years.
 
No Tech Support:
Unlike Windows, there isn’t a dedicated tech support, so getting help for things is up to you. 
 
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Linux is not as user friendly as Windows or as ‘straight out of the box design’ As an example for design choices, Adobe hasn’t released any of its products to Linux users. So it’s impossible to run them directly. The Ubuntu alternative is a free software called GIMP. 
 
Gaming Capabilities: 
Most games aren’t available in Linux. But that’s not to say you can’t make it happen, it's just not as easy.   
Linux Job Market
Average Salary
$85k-$105k
Job Count
n/a
Top Job Locations

New York City
Boston
San Francisco 

Complimentary Skills to have along with Linux
The following are types of jobs that may require Linux skills.  The top 15 job titles on Dice.com that mention Linux in their postings are:
- DevOps Engineer
- Software Engineer
- Java Developer
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- Linux Engineer
- Senior Java Developer
- C++ Developer

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