DO-375: Automation with Ansible and Ansible Tower

Course Overview:

Through hands-on labs, you will learn to automate system administration tasks on managed hosts with Ansible, learn how to write Ansible playbooks to standardize task execution, and manage encryption for Ansible with Ansible Vault. This course will also teach you how to deploy and use Red Hat® Ansible Tower to centrally manage existing Ansible projects, playbooks, and roles; perform basic maintenance and administration of the Ansible Tower installation; and configure users and teams and use them to control access to systems, projects, and other resources through role-based access controls. You will learn to use Ansible Tower’s visual dashboard to launch, control, and monitor Ansible jobs; use the Ansible Tower application programming interface (API) to launch jobs from existing templates; automatically schedule Ansible jobs; and dynamically update host inventories.

Course Objectives:

Install and troubleshoot Ansible on central nodes and managed hosts
Automate administration tasks with Ansible playbooks and ad hoc commands
Write effective Ansible playbooks
Protect sensitive data used by tasks with Ansible Vault.
Install and configure Ansible Tower for enterprise Ansible management
Use Ansible Tower to control access to inventories and machine credentials by users and teams
Create job templates in Ansible Tower to standardize playbook execution.
Centrally launch playbooks and monitor and review job results with Ansible Tower

Course Outline:

Introduce Ansible
Deploy Ansible
Implement playbooks
Manage variables and inclusions
Implement task control
Implement Jinja2 templates
Implement roles
Configure complex playbooks
Implement Ansible Vault
Troubleshoot Ansible
Install Ansible Tower and describe Ansible Tower’s architecture
Create users and teams for role-based access control
Create and manage inventories and credentials
Manage projects for provisioning with Ansible Tower
Construct advanced job workflows
Update inventories dynamically and compare inventory members
Maintenance and administration of Ansible Tower

Dates/Locations:

No Events

Duration: 5 Days

Prerequisites:

Become a Red Hat Certified System Administrator, or demonstrate equivalent experience

Target Audience:

This course is designed for Linux system administrators, cloud administrators, and network administrators needing to automate configuration management, application deployment, and intraservice orchestration at an enterprise scale.

CL-355: Containers, Kubernetes, and Red Hat OpenShift Administration

Course Overview:

Through an introduction to Docker, Kubernetes, and Red Hat OpenShift Platform, this training course helps you understand one of the key tenets of the DevOps and DevSecOps Platform (DSOP) movement: continuous integration and continuous deployment. The CI/CD pipeline becomes well understood and implemented in an open architecture. Containers have become a key technology for the configuration and deployment of applications and micro services. Kubernetes is a container orchestration platform that provides foundational services in Red Hat OpenShift Container Platform, which allows enterprises to manage container deployments and scale their applications using Kubernetes.

This training course provides an overview of the DoD Enterprise DevSecOps Platform (DSOP) Reference Design, its current state, and ties to DoD Cloud Platform One (P1). Workflows of the DoD Iron Bank container repository are introduced, along with an overview of the DoD Pipeline as represented in Big Bang. Continuous authorization cATO via Party Bus within NIST RMF is presented. You will become aware of the Platform One (P1) integrations and relationship to Docker, Kubernetes, Istio (Red Hat OpenShift Service Mesh) and Red Hat OpenShift Platform.

In addition to gaining an understanding of these tools, you will build core administration skills through the installation, configuration, and management of an OpenShift cluster and containerized applications.

Course Objectives:

Learn about Containers, Docker, Kubernetes, and OpenShift architecture
Overview DoD Enterprise DevSecOps Platform (DSOP) Reference Design and DoD Cloud Platform One (P1)
Tie together awareness of various DoD Cloud offerings and their relationships
Create containerized services
Manage containers and container images
Deploy multi-container applications
Install an OpenShift cluster
Configure and manage masters and nodes
Secure OpenShift
Control access to resources on OpenShift
Monitor and collect metrics on OpenShift
Deploy applications on OpenShift using source-to-image (S2I)
Manage storage on OpenShift

Course Outline:

Getting started with container technology
Creating containerized services
Managing containers
Managing container images
Creating custom container images
Deploying containerized applications on OpenShift
Deploying multi-container applications
Troubleshooting containerized applications
Comprehensive Review of Introduction to Container, Kubernetes, and RedHat OpenShift
Introducing Red Hat OpenShift Container Platform
Installing OpenShift Container Platform
Describing and exploring OpenShift networking concepts
Executing commands
Controlling access to OpenShift resources
Allocating persistent storage
Managing application deployments
Installing and configuring the metrics subsystem
Managing and monitoring OpenShift Container Platform

Dates/Locations:

No Events

Duration: 5 Days

Prerequisites:

Ability to use a Linux® terminal session and issue operating system commands
Good foundation in Linux
Experience with web application architectures and their corresponding technologies

Target Audience:

Developers who wish to containerize software applications
Administrators who are new to container technology and container orchestration
Architects who are considering using container technologies in software architectures
System administrators
System architects
Architects and developers who want to install and configure OpenShift Container Platform
Those working in the field of DevSecOps supporting DoD Platform One (P1) and other implementations

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DP-201: Designing an Azure Data Solution

Course Overview:

In this course, the students will design various data platform technologies into solutions that are in line with business and technical requirements. This can include on-premises, cloud, and hybrid data scenarios which incorporate relational, NoSQL, or Data Warehouse data. They will also learn how to design process architectures using a range of technologies for both streaming and batch data. The students will also explore how to design data security, including data access, data policies, and standards. They will also design Azure data solutions, which includes the optimization, availability, and disaster recovery of big data, batch processing, and streaming data solutions.

TechNow has worked worldwide enterprise infrastructures for over 20 years and has developed demos and labs to exemplify the techniques required to demonstrate cloud technologies and to effectively manage security in the cloud environment.

Attendees to DP-201: Designing an Azure Data Solution will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 3 days

Course Outline:

Data Platform Architecture Considerations
Azure Batch Processing Reference Architectures
Azure Real-Time Reference Architectures
Data Platform Security Design Considerations
Designing for Resiliency and Scale
Design for Efficiency and Operations

Prerequisites :

- - In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:
  - AZ-900: Microsoft Azure Fundamentals
  - DP-200: Implementing an Azure Data Solution

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DP-200: Implementing an Azure Data Solution

Course Overview:

In this course, the students will implement various data platform technologies into solutions that are in-line with business and technical requirements, including on-premises, cloud, and hybrid data scenarios incorporating both relational and NoSQL data. They will also learn how to process data using a range of technologies and languages for both streaming and batch data.

The students will also explore how to implement data security, including authentication, authorization, data policies, and standards. They will also define and implement data solution monitoring for both the data storage and data processing activities. Finally, they will manage and troubleshoot Azure data solutions which includes the optimization and disaster recovery of big data, batch processing, and streaming data solutions.

TechNow has worked worldwide enterprise infrastructures for over 20 years and has developed demos and labs to exemplify the techniques required to demonstrate cloud technologies and to effectively manage security in the cloud environment.

Attendees to DP-200: Implementing an Azure Data Solution will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 4 days

Course Outline:

Azure for the Data Engineer
Working with Data Storage
Enabling Team Based Data Science with Azure Databricks
Building Globally Distributed Databases with Cosmos DB
Working with Relational Data Stores in the Cloud
Performing Real-Time Analytics with Stream Analytics
Orchestrating Data Movement with Azure Data Factory
Securing Azure Data Platforms
Monitoring and Troubleshooting Data Storage and Processing

Prerequisites :

- - In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:
  - AZ-900: Microsoft Azure Fundamentals

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AZ-400: Microsoft Azure DevOps Solutions

Course Overview:

This course provides the knowledge and skills to design and implement DevOps processes and practices. Students will learn how to plan for DevOps, use source control, scale Git for an enterprise, consolidate artifacts, design a dependency management strategy, manage secrets, implement continuous integration, implement a container build strategy, design a release strategy, set up a release management workflow, implement a deployment pattern, and optimize feedback mechanisms.

TechNow has worked worldwide enterprise infrastructures for over 20 years and has developed demos and labs to exemplify the techniques required to demonstrate cloud technologies and to effectively manage security in the cloud environment.

Attendees to AZ-400: Microsoft Azure DevOps Solutions will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 5 days

Course Outline:

Planning for DevOps
Getting started with Source Control
Scaling Git for enterprise DevOps
Consolidating Artifacts & Designing a Dependency Management Strategy
Implementing Continuous Integration with Azure Pipelines
Managing Application Config and Secrets
Managing Code Quality and Security Policies
Implementing a Container Build Strategy
Manage Artifact versioning, security & compliance
Design a Release Strategy
Set up a Release Management Workflow
Implement an appropriate deployment pattern
Implement process for routing system feedback to development teams
Implement a mobile DevOps strategy
Infrastructure and Configuration Azure Tools
Azure Deployment Models and Services
Create and Manage Kubernetes Service Infrastructure
Third Party Infrastructure as Code Tools available with Azure
Implement Compliance and Security in your Infrastructure
Recommend and design system feedback mechanisms
Optimize feedback mechanisms

Prerequisites :

- - AZ-900: Microsoft Azure Fundamentals
  - Fundamental knowledge about Azure, version control, Agile software development, and core software development principles. It would be helpful to have experience in an organization that delivers software.

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