DOCKER WITH KUBERNETES ADMINISTRATION Training

Upcoming Instructor Led Online and Public DOCKER WITH KUBERNETES ADMINISTRATION classes
DOCKER WITH KUBERNETES ADMINISTRATION Training/Class 27 January, 2020 - 31 January, 2020 $2490
HSG Training Center 1624 Market Street, Suite 202
Denver, CO 80202
Hartmann Software Group Training Registration
DOCKER WITH KUBERNETES ADMINISTRATION Training/Class 2 March, 2020 - 6 March, 2020 $2490
HSG Training Center 1624 Market Street, Suite 202
Denver, CO 80202
Hartmann Software Group Training Registration
DOCKER WITH KUBERNETES ADMINISTRATION Training/Class 13 April, 2020 - 17 April, 2020 $2490
HSG Training Center 1624 Market Street, Suite 202
Denver, CO 80202
Hartmann Software Group Training Registration
DOCKER WITH KUBERNETES ADMINISTRATION Training/Class 22 June, 2020 - 26 June, 2020 $2490
HSG Training Center 1624 Market Street, Suite 202
Denver, CO 80202
Hartmann Software Group Training Registration
DOCKER WITH KUBERNETES ADMINISTRATION Training/Class 27 July, 2020 - 31 July, 2020 $2490
HSG Training Center 1624 Market Street, Suite 202
Denver, CO 80202
Hartmann Software Group Training Registration
DOCKER WITH KUBERNETES ADMINISTRATION Training/Class 28 September, 2020 - 2 October, 2020 $2490
HSG Training Center 1624 Market Street, Suite 202
Denver, CO 80202
Hartmann Software Group Training Registration
DOCKER WITH KUBERNETES ADMINISTRATION Training/Class 7 December, 2020 - 11 December, 2020 $2490
HSG Training Center 1624 Market Street, Suite 202
Denver, CO 80202
Hartmann Software Group Training Registration
We offer private customized training for groups of 3 or more attendees.

Course Description

 
Participants will first understand the core features of Docker including: container creation and management, interacting with Docker hub, using Dockerfile to create and manage custom images, advanced Docker networking (how to safely expose container services to the world, and link containers), the use of Docker volumes to manage persistent data, and Docker Compose to build multi-container applications. Emphasis is placed on best practices and how to secure Docker installations and containers. The second part of the course introduces participants to the basic concepts and architecture of Kubernetes, its initial install & setup, Kubernetes Pods, deployments and services, persistent storage, networking, automating deployment, scaling & management of containerized applications, and finally it's logging and monitoring facilities.
Course Length: 5 Days
Course Tuition: $2490 (US)

Prerequisites

Proficiency with the Linux CLI. A broad understanding of Linux system administration.

Course Outline

 
  1. CONTAINER TECHNOLOGY OVERVIEW
    1. Instructor – Docker Demo
    2. Application Management Landscape
    3. Application Isolation
    4. Resource Measurement and Control
    5. Container Security
    6. OverlayFS Overview
    7. Container Security
    8. Open Container Initiative
    9. Docker Alternatives
    10. Docker Ecosystem
    11. Docker Ecosystem (cont.)
    LAB TASKS
    1. Container Concepts runC
    2. Container Concepts Systemd
  2. INSTALLING DOCKER
    1. Installing Docker
    2. Docker Architecture
    3. Starting the Docker Daemon
    4. Docker Daemon Configuration
    5. Docker Control Socket
    6. Enabling TLS for Docker
    7. Validating Docker Install
    LAB TASKS
    1. Installing Docker
    2. Protecting Docker with TLS
  3. MANAGING CONTAINERS
    1. Creating a New Container
    2. Listing Containers
    3. Managing Container Resources
    4. Running Commands in an Existing Container
    5. Interacting with a Running Container
    6. Stopping, Starting, and Removing Containers
    7. Copying files in/out of Containers
    8. Inspecting and Updating Containers
    9. Docker Output Filtering & Formatting
    LAB TASKS
    1. Managing Containers
    2. Configure a docker container to start at boot.
  4. MANAGING IMAGES
    1. Docker Images
    2. Listing and Removing Images
    3. Searching for Images
    4. Downloading Images
    5. Uploading Images
    6. Export/Import Images
    7. Save/Load Images
    8. Committing Changes
    LAB TASKS
    1. Docker Images
    2. Docker Platform Images
  5. CREATING IMAGES WITH DOCKERFILE
    1. Dockerfile
    2. Caching
    3. docker image build
    4. Dockerfile Instructions
    5. ENV and WORKDIR
    6. Running Commands
    7. Getting Files into the Image
    8. Defining Container Executable
    9. HEALTHCHECK
    10. Best Practices
    11. Multi-Stage builds with Dockerfile
    LAB TASKS
    1. Dockerfile Fundamentals
    2. Optimizing Image Build Size
    3. Image Builds and Caching
  6. DOCKER VOLUMES
    1. Volume Concepts
    2. The docker volume Command
    3. Creating and Using Internal Volumes
    4. Internal Volume Drivers
    5. Removing Volumes
    6. Creating and Using External Volumes
    7. SELinux Considerations
    8. Mapping Devices
    LAB TASKS
    1. Docker Internal Volumes
    2. Docker External Volumes
  7. DOCKER COMPOSE/SWARM
    1. Writing YAML Files
    2. Concepts
    3. Compose CLI
    4. Defining a Service Set
    5. Compose Versions
    6. Docker Engine Swarm Mode
    7. Docker Swarm Terms
    8. Docker Swarm Command Overview
    9. Creating a Swarm
    10. Creating Services
    11. Creating Secrets
    12. Stack Files
    13. Stack Command
    14. Swarm Placements
    15. Swarm Resource Limits & Reservations
    16. Swarm Networking
    17. Swarm Networking Troubleshooting
    LAB TASKS
    1. Docker Compose
    2. Docker Engine Swarm Mode
  8. DOCKER NETWORKING
    1. Overview
    2. Data-Link Layer Details
    3. Network Layer Details
    4. Hostnames and DNS
    5. Service Reachability
    6. Container to Container Communication
    7. Container to Container: Links (deprecated)
    8. Container to Container: Private Network
    9. Managing Private Networks
    10. Remote Host to Container
    LAB TASKS
    1. Docker Networking
    2. Exposing Ports
    3. Docker Networking
  9. DOCKER LOGGING
    1. Docker Logging
    2. Docker Logging with json-file and journald
    3. Docker Logging with syslog
    4. Docker Logging with Graylog or Logstash
    5. Docker Logging with Fluentd
    6. Docker Logging with Amazon or Google
    7. Docker Logging with Splunk
    LAB TASKS
    1. Logging to syslog
  10. KUBERNETES CORE CONCEPTS
    1. CKA Objectives Covered
    2. Kubernetes Architecture
    3. Cluster Communication
    4. Objects
    5. Object Properties
    6. Labels & Selectors
    7. Annotations
    8. Object Management
    9. Object Management (cont.)
    10. Image Fundamentals
    11. Container Fundamentals
    12. Pod Fundamentals
    13. Working with Pods
    LAB TASKS
    1. Container and Pod Fundamentals
    2. Single Node Install
    3. Pod Fundamentals
  11. INSTALLATION
    1. CKA Objectives Covered
    2. Installing HA Control Plane (DEMO)
    LAB TASKS
    1. Kubernetes HA Masters Install
    2. Kubernetes Install
    3. Joining Worker Nodes
  12. APPLICATION LIFECYCLE MANAGEMENT
    1. CKA Objectives Covered
    2. Pod Lifecycle
    3. Container Lifecycle
    4. Init Containers
    5. Container: command and args
    6. Container: Defining Environment
    7. ReplicaSet
    8. Deployments
    9. Working with Deployments
    10. Deployment Rollouts
    LAB TASKS
    1. Pod Lifecycle
    2. Init Containers
    3. Deployments
  13. NETWORKING
    1. CKA Objectives Covered
    2. Network Overview
    3. Service Discovery & CoreDNS
    4. Container Network Interface (CNI)
    5. Services
    6. Ingress Objects
    LAB TASKS
    1. Ingress Controller
    2. Port-Forwarding
    3. Services
    4. Ingress
  14. STORAGE
    1. CKA Objectives Covered
    2. Storage
    3. Volume Types
    4. Volume Types
    5. Static Volumes (DEMO)
    6. ConfigMaps
    7. ConfigMaps
    8. Secrets
    LAB TASKS
    1. (DEMO) Static Volumes
    2. (DEMO) ConfigMaps & Secrets
    3. Static Volume Provisioning
    4. ConfigMaps and Secrets
  15. SCHEDULING
    1. CKA Objectives Covered
    2. Controlling and Tracking Resources
    3. Scheduler Operation
    4. DaemonSet
    5. Node Affinity & Anti-affinity
    6. Pod Affinity & Anti-affinity
    7. Taints & Tolerations
    LAB TASKS
    1. (DEMO) Affinity and Taints
    2. Pod Resources and Scheduling
    3. Static Scheduling and Daemonsets
    4. Pod and Node Affinities
  1. DOCKER REGISTRY LAB TASKS
    1. Docker Registry
    2. Docker Registry (secured)
    3. Docker Content Trust
  2. JOBS AND CRONJOBS
    1. Jobs
    2. CronJobs
    LAB TASKS
    1. Jobs
    2. CronJobs
  3. LINUX CONTAINERS
    1. Application Management Landscape
    2. Application Isolation
    3. Resource Measurement and Control
    4. Container Security
    5. OverlayFS Overview
    6. Container Security
    7. Open Container Initiative
    LAB TASKS
    1. Container Concepts runC

Course Directory [training on all levels]

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Gain insight and ideas from students with different perspectives and experiences.

DevOps Uses & Stats

DevOps 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. 
 
Designer Compatabilty:
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.   
DevOps 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 DevOps
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
- Systems Engineer
- Systems Administrator
- Senior Software Engineer
- Network Engineer
- Python Developer
- Linux Systems Administrator
- Software Developer
- System Administrator
- Linux Administrator
- Linux Engineer
- Senior Java Developer
- C++ Developer

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