Containers and Virtual Machines (VMs) Training in Maia

Kubernetes is an open-source platform designed for the automated deployment, scaling, and management of containerized applications.

This instructor-led live training (available online or onsite) targets beginner to intermediate IT professionals eager to grasp the core concepts and components of Kubernetes and apply them to manage containerized applications at scale.

Upon completion of this training, participants will be capable of:

• Understanding Kubernetes architecture and its components.
• Deploying and managing containers within a Kubernetes cluster.
• Configuring networking, storage, and scaling for workloads.
• Troubleshooting common issues and adhering to best practices for cluster operations.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To arrange customized training for this course, please contact us directly.

In this instructor-led, live training in Maia (onsite or remote), participants will learn how to deploy a collection of sample servers inside containers, then automate, scale, and manage their containerized servers within a Kubernetes cluster. The training goes on to more advanced topics, walking participants through the process of securing, networking and monitoring a Kubernetes cluster.

By the end of this training, participants will be able to:

• Set up and run a Docker container.
• Deploy containerized databases and servers.
• Set up a Docker and Kubernetes cluster.
• Use Kubernetes to deploy and manage different environments under the same cluster.
• Secure, scale and monitor a Kubernetes cluster.

This instructor-led, live training in Maia (online or onsite) is aimed at intermediate-level to advanced-level developers, DevOps professionals, and architects who wish to design, deploy, and manage resilient applications using microservices, containers, and continuous integration/continuous deployment (CI/CD) pipelines.

By the end of this training, participants will be able to:

• Understand and implement microservices architecture.
• Deploy and manage containerized applications with Docker and Kubernetes.
• Set up and optimize CI/CD pipelines for automated deployments.
• Apply best practices for security, monitoring, and observability.

This instructor-led, live training in Maia (online or onsite) is designed for intermediate-level developers and DevOps engineers who want to incorporate Minikube into their development workflow.

Upon completion of this training, participants will be able to:

• Set up and manage a local Kubernetes environment using Minikube.
• Understand how to deploy, manage, and debug applications on Minikube.
• Integrate Minikube into their continuous integration and deployment pipelines.
• Optimize their development process by leveraging Minikube's advanced features.
• Apply best practices for local Kubernetes development.

This instructor-led, live training in Maia (online or onsite) is aimed at intermediate-level system administrators who wish to effectively deploy, manage, and troubleshoot Hyper-V environments.

By the end of this training, participants will be able to:

• Understand virtualization concepts and configure Hyper-V.
• Create and manage virtual machines, VM storage, and networking.
• Utilize advanced Hyper-V features and secure Hyper-V environments.
• Monitor and optimize Hyper-V performance.

This instructor-led, live training in Maia (online or onsite) is designed for beginner to intermediate-level developers, system administrators, and DevOps engineers seeking to grasp Kubernetes and cloud-native principles.

Upon completion of this training, participants will be able to:

• Configure a development environment that incorporates Kubernetes.
• Develop a microservices application using Kubernetes.
• Deploy, manage, and scale applications within Kubernetes.
• Troubleshoot common issues in Kubernetes environments.

This instructor-led, live training in Maia (online or onsite) is designed for intermediate developers and DevOps engineers aiming to build, deploy, and manage microservices using Spring Cloud and Docker.

Upon completion of this training, participants will be equipped to:

• Create microservices leveraging Spring Boot and Spring Cloud.
• Containerize applications using Docker and Docker Compose.
• Implement service discovery, API gateways, and inter-service communication.
• Monitor and secure microservices within production environments.
• Deploy and orchestrate microservices via Kubernetes.

This instructor-led, live training in Maia (online or onsite) is designed for beginner to intermediate software developers and DevOps professionals seeking to learn how to set up and manage a local Kubernetes environment using Minikube.

By the end of this training, participants will be able to:

• Install and configure Minikube on their local machine.
• Understand the basic concepts and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Set up persistent storage and networking solutions for Kubernetes.
• Utilize Minikube for developing, testing, and debugging applications.

In this instructor-led, live training in Maia (onsite or remote), participants will learn how to create and manage Docker containers, then deploy a sample application inside a container. Participants will also learn how to automate, scale, and manage their containerized applications within a Kubernetes cluster. Finally, the training goes on to more advanced topics, walking participants through the process of securing, scaling and monitoring a Kubernetes cluster.

By the end of this training, participants will be able to:

• Set up and run a Docker container.
• Deploy a containerized server and web application.
• Build and manage Docker images.
• Set up a Docker and Kubernetes cluster.
• Use Kubernetes to deploy and manage a clustered web application.
• Secure, scale and monitor a Kubernetes cluster.

This hands-on course aims to equip participants with the practical tools and knowledge needed for Docker and Kubernetes, enabling them to manage these technologies effectively.

This instructor-led live training (available online or onsite) is designed for engineers looking to automate, secure, and monitor containerized applications within a large-scale Kubernetes cluster.

Upon completion of this training, participants will be able to:

• Utilize Kubernetes to deploy and manage diverse environments within a single cluster
• Secure, scale, and monitor a Kubernetes cluster effectively

Course Format

• Interactive lectures and discussions
• Numerous exercises and practical sessions
• Hands-on implementation in a live lab environment

Course Customization Options

• To arrange a customized training for this course, please get in touch with us.

The Certified Kubernetes Application Developer (CKAD) programme was developed by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), the organisation responsible for hosting Kubernetes.

This instructor-led, live training session (available online or on-site) is designed for developers who wish to validate their skills in designing, building, configuring, and exposing cloud-native applications on Kubernetes.

Additionally, the training emphasises gaining practical experience in Kubernetes application development. Therefore, we recommend attending even if you do not plan to sit for the CKAD exam.

NobleProg has been delivering Docker and Kubernetes training since 2015. Having successfully completed over 360 training projects, we have established ourselves as one of the most recognised training providers globally in the field of containerisation. Since 2019, we have also assisted our customers in validating their performance in Kubernetes environments by preparing them to pass the CKA and CKAD exams.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practice sessions.
• Hands-on implementation within a live-lab environment.

Course Customisation Options

• To request a tailored training session for this course, please contact us to arrange it.
• To learn more about CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

This instructor-led, live training in Maia (online or onsite) is designed for engineers who wish to evaluate, select, and deploy the most appropriate Kubernetes solution for their specific situation.

By the end of this training, participants will be able to:

• Install and configure a Kubernetes cluster on-premise and in the cloud.
• Evaluate various cloud-hosted Kubernetes solutions and understand the advantages over a self-hosted approach.
• Compare different tools for testing, managing, and monitoring a Kubernetes cluster.

This instructor-led, live training in Maia (online or onsite) is designed for DevOps engineers who wish to employ Kubernetes and GitLab to automate the DevOps lifecycle.

By the conclusion of this training, participants will be able to:

• Automate application builds, tests, and deployments.
• Create an automated build infrastructure.
• Deploy an application to a containerized cloud environment.

In this instructor-led live training held in Maia, participants will learn how to establish and manage a production-scale container environment using Kubernetes on Google Cloud.

By the end of this training, participants will be able to:

• Configure and manage Kubernetes on Google Cloud.
• Deploy, manage and scale a Kubernetes cluster.
• Deploy containerized (Docker) applications on Google Cloud.
• Migrate an existing Kubernetes environment from on-premise to Google Cloud.
• Integrate Kubernetes with third-party continuous integration (CI) software.
• Ensure high availability and disaster recovery in Kubernetes.

This instructor-led, live training in Maia (online or onsite) targets developers and DevOps engineers who wish to adopt a serverless approach for building enterprise applications in Kubernetes.

By the end of this training, participants will be able to:

• Set up and configure the Kubernetes system to begin developing with a serverless architecture.
• Understand the concepts and principles foundational to serverless environments.
• Operate toolchains necessary for serverless development and integrate them with Kubernetes components.
• Practice skills in the Python programming language and apply them to implement serverless systems.
• Secure enterprise applications deployed through a serverless framework on Kubernetes.
• Utilize modern cloud computing methods in optimizing DevOps task processing workflows.

This instructor-led, live training in Maia (online or onsite) is designed for engineers who want to secure a Kubernetes cluster beyond the default security settings.

By the end of this training, participants will be able to:

• Identify vulnerabilities exposed by a default Kubernetes installation.
• Prevent unauthenticated access to the Kubernetes API, database, and other services.
• Protect a Kubernetes cluster from accidental or malicious access.
• Develop a comprehensive security policy and set of best practices.

DC/OS (Distributed Cloud Operating System) is an open-source distributed operating system constructed on the Apache Mesos project. Apache Mesos was developed following the same principles as the Linux kernel, albeit at a distinct level of abstraction. The Mesos kernel operates on every machine, providing applications such as Hadoop, Spark, Kafka, and Elasticsearch with APIs for resource management and scheduling across full data centre and cloud environments. Apache Mesos abstracts CPU, memory, storage, and other compute resources away from physical or virtual machines, enabling the easy construction and effective operation of fault-tolerant and elastic distributed systems.

DC/OS unites Mesos and over 30 applications into a single coherent system, much like how a Linux distribution packages the Linux kernel with applications to create a functional operating system.

This course offers participants a comprehensive overview of Apache Mesos and DC/OS, demonstrating through practical, hands-on exercises how to deploy and manage a complete Data Centre Operating System.

Audience

• System administrators
• DevOps engineers

Course Format

• A blend of lectures, discussions, and extensive hands-on practice

This instructor-led, live training Maia (online or onsite) is designed for DevOps engineers and developers who wish to leverage 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.

Kubernetes is an open-source platform designed to automate the entire lifecycle of containerized application development. Design patterns provide proven, repeatable solutions to common challenges in software design. Meanwhile, Kubernetes extensions are employed to configure and support Kubernetes clusters effectively. By leveraging these design patterns and extensions, platform users can implement CI/CD practices while ensuring their software applications remain scalable and flexible.

This instructor-led, live training (available online or onsite) is targeted at developers and DevOps engineers who aim to utilize Kubernetes design patterns and extensions to build enterprise-grade applications on Kubernetes clusters.

Upon completion of this training, participants will be able to:

• Establish a Kubernetes cluster and configure essential DevOps tools.
• Grasp the core principles of software design patterns and Kubernetes extensions.
• Apply Kubernetes extensions and design patterns when engaging with the Kubernetes API.
• Develop bespoke Kubernetes resources and implement dynamic controllers within a cluster.
• Administer and secure Kubernetes environments using Kubernetes plugins.
• Integrate DevOps networking models into both current and future Kubernetes projects.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live laboratory environment.

Customization Options for the Course

• To request tailored training for this course, please contact us to make arrangements.

This instructor-led, live training in Maia (online or onsite) is aimed at DevOps engineers and developers who wish to deploy and manage OpenStack services on cloud infrastructures using Kubernetes.

By the end of this training, participants will be able to:

• Deploy, configure, and manage MOS and its components.
• Access OpenStack APIs.
• Perform common OpenStack operations tasks (backup, restore, etc.).
• Upgrade OpenStack deployments.

OpenShift Container Platform v4 is an enterprise-grade Kubernetes platform created by Red Hat, designed to automate the deployment, scaling, and management of containerised applications.

This instructor-led, live training (available online or onsite) targets system administrators and DevOps engineers who want to deploy, manage, and operate OpenShift clusters in production environments.

The course offers a practical approach to installing and managing OpenShift 4 clusters, working with Operators, securing workloads, and running applications at scale.

In this instructor-led, live training in Maia (online or on-site), participants will learn how to create, update, and maintain applications using OpenShift Container Platform.

Upon completion of this training, participants will be able to:

• Understand OCI (Open Containers Initiative) and its implications for using container engines like Docker in OpenShift.
• Grasp the relationships between different versions of OpenShift (OKP, OpenShift Container Platform, Red Hat OpenShift, etc.).
• Automate the software delivery pipeline.
• Apply DevOps principles to deliver software continuously.

This instructor-led, live training in Maia (online or onsite) is aimed at DevOps engineers and developers who wish to use Podman to create, run, and manage containers and pods as a non-root user.

By the end of this training, participants will be able to:

• Install and configure Podman in rootless mode.
• Build and run containers, container images, and pods.
• Manage container networking and lifecycle.
• Use Podman instead of Docker for creating and deploying containerized applications.

This instructor-led, live training in Maia (online or onsite) is aimed at penetration testers who wish to penetrate test networks in Kali Linux using Python.

By the end of this training, participants will be able to:

• Create Python programs to seek network vulnerabilities.
• Explore and use Kali web shells and shellcode in exploits.
• Apply various Kali tools for penetration testing.
• Exploit systems with Python.

This hands-on course is designed for system administrators, developers, embedded specialists, and desktop users (including managers) seeking a foundational understanding of virtualization. Upon completion, administrators will possess the skills to establish private clouds for production environments, while developers will be equipped to test their code across multiple operating systems without requiring a secondary PC or non-x86 hardware.

We recognize that the breadth of topics covered in this course may not align with every customer's needs. When booking, please specify your objectives for using QEMU or KVM so we can tailor the schedule by reallocating time from less relevant subjects to those that are most critical for you.

This instructor-led, live training in Maia (online or onsite) targets developers and DevOps engineers who wish to leverage Tekton Pipelines to support complex software development workflows and build automated CI/CD pipelines.

By the end of this training, participants will be able to:

• Install and configure Tekton Pipelines and other foundational Tekton components.
• Design and create the building blocks of pipelines for software development in Tekton.
• Automate existing pipelines and development processes using Tekton framework concepts and principles.
• Run and manage Tekton Pipelines for various workload types across multiple platforms.
• Implement CI/CD systems based on the Tekton framework to enhance future software development projects.

This instructor-led, live training in Maia (online or on-site) is aimed at intermediate-level virtualization administrators who wish to use open-source platforms to migrate away from VMware.

By the end of this training, participants will be able to:

• Install and configure KVM, oVirt, and Proxmox VE.
• Migrate virtual workloads from VMware.
• Implement high availability and disaster recovery.
• Optimize performance in open-source virtualization environments.

Microsoft Azure Infrastructure and Deployment