DevOps Training in Dartmouth

This instructor-led, live training in Dartmouth (online or onsite) is aimed at intermediate-level software developers, system administrators, and IT project managers who wish to enhance their skills in building and managing automated, scalable, and collaborative IT environments.By the end of this training, participants will be able to:

• Understand the core principles and benefits of DevOps and Platform Engineering.
• Implement Infrastructure as Code (IaC) and automate the provisioning of IT infrastructure.
• Build and maintain Continuous Integration and Continuous Delivery (CI/CD) pipelines.
• Deploy and manage microservices using containerization tools like Docker and Kubernetes.
• Integrate security practices into the software development lifecycle with DevSecOps.
• Apply observability techniques to monitor and improve system reliability.

This instructor-led, live training in Dartmouth (online or onsite) is aimed at developers who wish to learn and apply the basics of Continuous Integration for Java. By the end of this training, participants will be able to:

• Learn and understand CI for a Java project.
• Build a CI system for Java.

This instructor-led, live training in Dartmouth (online or onsite) is aimed at DevOps engineers, developers, and project managers who wish to efficiently execute preprogrammed functions and administer software development workflows using the powerful RESTful API of Ansible AWX. By the end of this training, participants will be able to:

• Install and configure Ansible AWX on their preferred software development environment.
• Understand the DevOps principles and concepts foundational to Ansible AWX.
• Utilize  AWX's automation tools to enhance workflows and facilitate DevOps processes.
• Integrate AWX with external resources to leverage its features and collaborate with teams.

This instructor-led, live training in Dartmouth (online or onsite) is aimed at DevOps engineers, developers, and SysOps administrators who wish to maximize the tools and features made available through the Ansible project for the advancement of organizational IT infrastructures and processes. Simultaneously, they can utilize the opportunity to carry out complex Ansible implementations for large-scale applications while employing its open-sourced tower for optimized DevOps management and collaboration functions. By the end of this training, participants will be able to:

• Install and configure Ansible along with other open-source tools and resources.
• Establish a centralized system for DevOps management using Ansible project features.
• Operate automation tools and advanced resources of Ansible to achieve CI/CD approach.
• Execute better SysOps methods using Ansible's collaborative features for management of larger teams.
• Enhance DevOps tasks execution within the organization and optimize existing ones.
• Integrate Ansible with external platforms and leverage other Ansible tools for the organization's advantage.

This instructor-led, live training in Dartmouth (online or onsite) is aimed at DevOps engineers who wish to automate IT infrastructure with Ansible and Puppet. By the end of this training, participants will be able to:

• Configure and manage IT infrastructure.
• Build a pipeline for effective code deployment.
• Implement self-service infrastructure and application delivery.

This instructor-led, live training in Dartmouth (online or onsite) is aimed at DevOps engineers, developers, and project managers who wish to utilize Red Hat Ansible Tower to optimize enterprise application development processes and orchestrate better business environments. By the end of this training, participants will be able to:

• Setup Red Hat Ansible Tower and configure other necessary Ansible automation tools.
• Execute and manage Ansible projects using the centralized Ansible Tower system.
• Operate the Red Hat Ansible Tower web interface and integrate it with external platforms.
• Leverage Ansible Tower resources and features to attain a dynamic and effective organization.

This course focuses on practical implementation and tooling. This course covers the installation, planning and configuration of Zabbix

This instructor-led, live training in Dartmouth (online or onsite) is aimed at DevOps engineers and developers who wish to use CodePipeline to automate release pipelines for efficient updating of applications and infrastructures. By the end of this training, participants will be able to use CodePipeline features and tools to automate and configure workflows in software release workflows.

Audience: Cloud engineers, Solution architects, Centre of excellence team, Window server administrators, Unix/Linux administrator, Storage administrators, network administrators, Virtualization administrators Course Objectives: This course is designed to teach you how to:

• Use the principal concepts and practices behind the DevOps methodology
• Design and implement an infrastructure on AWS that supports one or more DevOps development projects
• Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project
• Use AWS CodeCommit and understand the array of options for enabling a Continuous Integration environment on AWS
• Use AWS CodePipeline to design and implement a Continuous Integration and Delivery pipeline on AWS
• Implement several common Continuous Deployment use cases using AWS technologies, including blue/green deployment and A/B testing
• Distinguish between the array of application deployment technologies available on AWS (including AWS CodeDeploy, AWS Opsworks, AWS Elastic Beanstalk, Amazon EC2 Container Service, and Amazon EC2 Container Registry), and decide which technology best fits a given scenario
• Fine tune the applications you deliver on AWS for high performance and use AWS tools and technologies to monitor your application and environment for potential issues

This instructor-led, live training in Dartmouth (online or onsite) is aimed at DevOps engineers and web developers who wish to build and deploy web applications with TeamCity. By the end of this training, participants will be able to:

• Implement a scalable and efficient CI/CD system with TeamCity.
• Automate version control database schema with Git repositories.
• Build CI pipelines for .NET platforms.
• Save time by setting up a project template.

This training course introduces the core DevOps concepts and principles as well as the ways to stand up the DevOps practice in your organization. Upon completion of this training course, students will have fundamental understanding of DevOps’ value proposition; they will also gain practical experience working with select DevOps tools, including Puppet, Jenkins, and others. This training course is supplemented by hands-on labs that help attendees reinforce their theoretical knowledge of the learned material. TOPICS DevOps practices and tools Puppet Technical introduction to cloud computing Jenkins

This instructor-led, live training in Dartmouth (online or onsite) is aimed at DevOps engineers who wish to automate code and code deployment with Atlassian Bamboo. By the end of this training, participants will be able to:

• Employ a CI/CD system.
• Supply application configuration files for targeted environments.
• Build and package code with Atlassian Bamboo.

This instructor-led, live training in Dartmouth (online or onsite) is aimed at DevOps engineers, IT managers, or developers who wish to understand the fundamentals of DevOps, and then adopt the DevOps practices and tools into their organization. By the end of this training, participants will be able to:

• Understand and apply the principles and mindset behind DevOps.
• Design and implement transformation plans for adopting DevOps in their organization.
• Automate repetitive tests and processes for faster delivery and shorter turnaround time in the development life cycle.
• Integrate security operations and practices into the DevOps pipeline to eliminate vulnerabilities and data breaches.

In this instructor-led, live course in Dartmouth, participants will learn how to formulate the proper security strategy to face the DevOps security challenge.

This course focuses on practical implementation and tooling. It assumes good knowledge on theoretical principals (see DEVOPS course) as it focuses on newest tools and methods of implementing DevOps principles.

This instructor-led, live training in Dartmouth (online or onsite) is aimed at DevOps who wish to have a better understanding of DevSecOps method theories and DevSecOps in general. By the end of this training, participants will be able to:

• Understand how a DevSecOps program can integrate security into a software development pipeline.
• Build a secure continuous delivery pipeline.
• Automate security testing for a software delivery workflow.

This instructor-led, live training Dartmouth (online or onsite) is aimed at DevOps engineers and developers who wish to use Java and Kubernetes (K8s) to create, build, test, debug and deploy high-performance and scalable applications. By the end of this training, participants will be able to:

• Set up the necessary development environment to build Java applications.
• Understand the features and architecture of Kubernetes.
• Learn about the key concepts and tools for DevOps.
• Get a refresher on Java programming fundamentals.
• Containerize Java microservices using Docker.
• Build, scale, and deploy Java applications on Kubernetes.

This instructor-led, live training in Dartmouth (online or onsite) is aimed at developers and DevOps engineers who wish to learn and operate KOps for simplifying the process of continuous delivery and testing of containerized Kubernetes applications. By the end of this training, participants will be able to:

• Setup and configure KOps along with other necessary Kubernetes tools for cloud-native development.
• Understand KOps concepts that are foundational to DevOps practice.
• Execute automated commands and generate file configurations.
• Build automatic provisioning functions for Kubernetes masters and clusters.
• Create manifests written in any supported Kubernetes syntax for API and component configuration.
• Integrate KOps with any preferred cloud environment while implementing HA principles.
• Generate better orchestration methods for handling Kubernetes clusters and projects.

Kubernetes is an open-source platform for automating all development stages of containerized applications. Design patterns are iterable solutions to software development problems pertinent to software design. Kubernetes extensions are utilized for configuring and supporting Kubernetes clusters. With the help of Kubernetes design patterns and extensions, users of the platform can achieve CI/CD approaches while maintaining scalability and flexibility of software applications. This instructor-led, live training (online or onsite) is aimed at developers and DevOps engineers who wish to leverage Kubernetes design patterns and extensions to create enterprise applications on Kubernetes clusters. By the end of this training, participants will be able to:

• Set up a Kubernetes cluster and configure the necessary DevOps tools.
• Understand the fundamentals of software design patterns and Kubernetes extensions.
• Utilize Kubernetes extensions and design patterns when interacting with Kubernetes API.
• Develop customized Kubernetes resources and apply dynamic controllers to a cluster.
• Manage and secure any Kubernetes environment with the help of Kubernetes plugins.
• Integrate DevOps networking models to existing and prospective Kubernetes projects.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Dartmouth (online or onsite) is aimed at engineers who wish to evaluate the approaches and tools available today to make an intelligent decision on the path forward in adopting MLOps within their organization. By the end of this training, participants will be able to:

• Install and configure various MLOps frameworks and tools.
• Assemble the right kind of team with the right skills for constructing and supporting an MLOps system.
• Prepare, validate and version data for use by ML models.
• Understand the components of an ML Pipeline and the tools needed to build one.
• Experiment with different machine learning frameworks and servers for deploying to production.
• Operationalize the entire Machine Learning process so that it's reproduceable and maintainable.

A two day, hands-on practical DevOps course

This instructor-led, live training in Dartmouth (online or onsite) is aimed at engineers who wish to deploy software applications to any of a number of environments, from traditional infrastructure, to Kubernetes clusters or serverless functions. By the end of this training, participants will be able to:

• Install and configure Pulumi.
• Declare cloud infrastructure using programming languages.
• Use Pulumi to deploy software using VMs, networks, and databases, as well as Kubernetes clusters and serverless functions.
• Deploy software to public, private, and hybrid cloud service infrastructures.

This instructor-led, live training in Dartmouth (online or onsite) is aimed at DevOps engineers, developers, and SysOps administrators who wish to employ the Red Hat Ansible Automation Platform for executing software development functions and orchestrating advanced IT processes. Furthermore, they can demonstrate and hone Ansible practices that are advantageous to specific enterprise applications, all the while efficiently collaborating with their respective teams  for the accomplishment of complex business functionalities. By the end of this training, participants will be able to:

• Install and configure Red Hat Ansible Automation Platform within the preferred environment.
• Familiarize with advanced Ansible features for centralizing and managing projects.
• Utilize automation tools and higher-level resources of Red Hat Ansible to achieve CI/CD approach.
• Perform administrative methods for better collaboration of larger teams.
• Enhance DevOps tasks execution within the organization and optimize existing ones.
• Integrate Ansible Automation Platform with other Red Hat distributions to maximize productivity.

Agile Software Testing is a series of testing practice that provides feesback to software quality issues in a timely and continuous manner following the principles of agile development.
Continuous Integration (CI) refers to all developers in a team merging their work several times a day.

This instructor-led, live training in Dartmouth (online or onsite) is aimed at developers and DevOps engineers who wish to familiarize themselves with Argo Project tools and maximize its functions for developing cloud-native applications. By the end of this training, participants will be able to:

• Install and configure Argo CD along with Workflows, Rollouts, and Events.
• Understand how each core component and main functionality of the Argo Project works.
• Execute basic CI/CD implementations in Kubernetes using Argo Project tools and features.
• Automate the deployment of an application and efficiently manage its state throughout the process.

This instructor-led, live training in Dartmouth (online or onsite) is aimed at developers who wish to build, test, deploy and monitor containerized software to the cloud, without having to provision or manage infrastructure. By the end of this training, participants will be able to:

• Understand and apply a configuration-as-code approach to setting up infrastructure.
• Create custom configured Docker containers for deploying software applications to the cloud.
• Deploy software to multiple environments.
• Monitor deployments via the Bitbucket Pipelines Deployment Dashboard.

This instructor-led, live training in Dartmouth (online or onsite) is aimed at technical persons who wish to create a content pipeline to optimize the content creation and publication process. By the end of this training, participants will be able to:

• Install and configure the different software components needed to generate and publish content.
• Replace manual publication processes with automated ones.
• Describe each step of the publication process in a declarative format that is easy to read and understand.
• Run content through a series of checks and tests to ensure that it's ready for public consumption.
• Publish content predictably and consistently every time.

This instructor-led, live training Dartmouth (online or onsite) is aimed at developers or DevOps engineers who wish to build automation pipelines using CI/CD practices with Python. By the end of this training, participants will be able to:

• Set up the necessary development environment to start building CI/CD pipelines with Python.
• Build automated pipelines for testing and publishing Python packages using Travis-CI.
• Automate the deployment of containerized applications with Docker and Heroku.

Continuous Integration (CI) is a development practice wherein developers merge changes in their code as often as possible in order to detect and locate errors quickly. In this instructor-led, live training, participants will learn the basics of Continuous Integration for JavaScript as they step through setting up a Continuous Integration process for a JavaScript project. By the end of this training, participants will be able to:

• Understand the fundamentals of Continuous Integration
• Build their own Continuous Integration system for their JavaScript projects

Audience

• Developers
• IT Professionals
• DevOps Engineers
• Business Managers

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

This instructor-led, live training in Dartmouth (online or onsite) is aimed at engineers who wish to use open source tools to automate the process of building, testing and deploying PHP applications and services. By the end of this training, participants will be able to:

• Install and configure different open source tools to enable continuous integration, testing and deployment.
• Understand the advantages and disadvantages of employment different open source CI tools such as such as Gitlab CI and Jenkins.
• Combine CI tools with open source tools for unit testing as well as integration testing a PHP application.