Online or onsite, instructor-led live Containers and Virtual Machines (VMs) training courses demonstrate through hands-on practice the fundamentals and advanced topics of Containers and Virtual Machines (VMs).
Containers and Virtual Machines (VMs) training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Lyon onsite live Containers and Virtual Machines (VMs) trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Lyon, Swisslife Tower
NobleProg Lyon, 10 Place Charles Béraudier, Lyon, france, 69000
Located 200 meters far from the train station TGV, Swisslife Tower is today the most representative building of this quarter of Lyon. The Business Center offers you a perfect location for your training.
Gares TGV
100meters from Gare TGV Part-Dieu , porte du Rhône Exit
Aéroport
30 minutes from Lyon Saint Exupéry (Satolas)
Rhône Express from Saint Exupéry airport (Terminus Gare part-Dieu)
Edge AI represents a paradigm centered on executing machine learning inference near data sources to deliver low-latency, efficient, and scalable processing.
This instructor-led, live training (available online or onsite) is designed for intermediate to advanced practitioners aiming to deploy, orchestrate, and optimize AI workloads within Kubernetes-based edge environments.
Upon completing this course, participants will be able to:
Establish lightweight Kubernetes distributions suitable for edge deployments.
Effectively deploy AI inference workloads across resource-constrained edge nodes.
Address connectivity challenges and implement synchronization patterns.
Optimize performance, storage, and networking for practical edge scenarios.
Format of the Course also allows for the evaluation of participants.
Guided presentations enriched with real-world examples.
Scenario-based labs and practical exercises focused on edge deployment.
Hands-on experience with Kubernetes edge frameworks.
Course Customization Options
For customized training tailored to your specific edge platform requirements, please contact us to arrange.
Kubernetes is a container orchestration platform widely used for managing distributed applications at scale.
This instructor-led, live training (online or onsite) is aimed at advanced-level practitioners who wish to apply AI and machine learning techniques to optimize Kubernetes resource usage, scheduling decisions, and autoscaling strategies.
At the completion of this program, participants will be able to:
Apply AI/ML models to improve workload scheduling decisions in Kubernetes.
Use predictive analytics to optimize CPU, GPU, and memory allocation.
Implement intelligent autoscaling using reinforcement learning and metric forecasting.
Reduce infrastructure cost and latency through automated resource optimization.
Format of the Course also allows for the evaluation of participants.
Instructor-guided technical presentations and deep-dive discussions.
Hands-on lab work using real Kubernetes clusters.
Practical exercises applying AI models to real operational scenarios.
Course Customization Options
To tailor this course to your platform setup or operational requirements, please contact us for customization.
Kubeflow is an open-source platform designed to streamline building, training, and deploying machine learning workloads on Kubernetes.
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to build reliable ML workflows using Kubeflow.
Upon completion of this training, attendees will gain the skills to:
Explore the Kubeflow ecosystem and its core components.
Develop reproducible workflows using Kubeflow Pipelines.
Execute scalable training jobs within a Kubernetes environment.
Deploy machine learning models efficiently via Kubeflow Serving.
Format of the Course also allows for the evaluation of participants.
Guided presentations and collaborative discussions.
Hands-on labs with real Kubeflow components.
Practical exercises to build end-to-end ML workflows.
Course Customization Options
Customized versions of this training can be arranged to align with your team’s technology stack and project requirements.
Kubernetes is an open-source platform designed for automating the deployment, scaling, and management of containerized applications.
This instructor-led live training, available either online or onsite, is designed for beginner to intermediate IT professionals who want to master the core concepts and components of Kubernetes and utilize it to manage containerized applications at scale.
Upon completion of this training, participants will be able to:
Comprehend the architecture and components of Kubernetes.
Deploy and manage containers within a Kubernetes cluster.
Configure networking, storage, and scaling for various workloads.
Troubleshoot common issues and adhere to best practices for cluster operations.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical sessions.
Hands-on implementation within a live lab environment.
Course Customization Options
To request customized training for this course, please contact us to arrange a session.
This instructor-led, live training in Lyon (online or onsite) is aimed at DevOps engineers and developers who wish to use Kubernetes to build, deploy, and manage containers and cluster components in a secure and scalable environment.
By the end of this training, participants will be able to:
Understand the architecture, core concepts, and components of a Kubernetes ecosystem.
Set up, install, and configure a Kubernetes cluster for container orchestration.
Learn how to execute Kubernetes operations using the command line tools.
Get a hands-on experience from basic to advanced Kubernetes operations and administration.
In this instructor-led, live training in Lyon (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.
This instructor-led, live training in Lyon (online or onsite) is aimed at intermediate-level professionals who wish to effectively deploy, manage, and scale containerized applications using Kubernetes.
By the end of this training, participants will be able to:
Understand the Kubernetes architecture and its components.
Isolate resources effectively using Namespaces.
Manage and customize workloads with Deployments, StatefulSets, and DaemonSets.
Define computational resources using Requests and Limits.
Work with Jobs and CronJobs for scheduled tasks.
Understand Services and DNS within Kubernetes.
Expose applications using Ingress.
Manage ConfigMaps, Secrets, and Persistent Volumes.
Scale and upgrade Kubernetes clusters using advanced strategies.
This instructor-led, live training in Lyon (online or onsite) is designed for intermediate to advanced developers, DevOps professionals, and architects who aim to design, deploy, and manage resilient applications utilizing 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 Lyon (online or onsite) is aimed at advanced-level platform engineers and DevOps professionals who wish to master scaling applications using microservices and Kubernetes.
By the end of this training, participants will be able to:
Design and implement scalable microservices architectures.
Deploy and manage applications on Kubernetes clusters.
Utilize Helm charts for efficient service deployment.
Monitor and maintain the health of microservices in production.
Apply best practices for security and compliance in a Kubernetes environment.
DO180 serves as an introductory course to containers, Kubernetes fundamentals, and Red Hat OpenShift platform concepts, with a strong emphasis on practical, hands-on skills.
This instructor-led, live training session (available online or on-site) is designed for technical professionals at beginner to intermediate levels who aim to master container workflows, understand Kubernetes primitives, and learn how to deploy and operate applications on OpenShift.
Upon completing this training, participants will be able to:
Build and manage container images and registries, adhering to best practices for reproducibility and security.
Deploy and manage Kubernetes objects, such as pods, deployments, and services, within OpenShift.
Leverage OpenShift features including routes, build configurations, and the web console to streamline application delivery.
Implement persistent storage, configuration management, and secrets handling for stateful workloads.
Apply basic security protocols, RBAC, and monitoring practices to maintain healthy clusters and applications.
Format of the Course also allows for the evaluation of participants.
Interactive lectures and discussions.
Hands-on labs in a live OpenShift environment conducted daily.
Scenario-driven exercises and troubleshooting workshops.
Course Customization Options
To request customized training for this course, please contact us to arrange.
This instructor-led live training in Lyon (online or onsite) is aimed at beginner-level developers who wish to learn the basics of Kubefirst and how it simplifies, secures, and accelerates Kubernetes and Swarm cluster management at enterprise scale.
By the end of this training, participants will be able to:
Set up a Kubefirst development environment.
Write and run a basic Kubefirst program.
Annotate code with Kubefirst directives and clauses.
This instructor-led, live training in Lyon (online or onsite) is designed for intermediate-level developers and DevOps engineers who wish to integrate Minikube into their development workflows.
By the end of this training, participants will be able to:
Set up and manage a local Kubernetes environment using Minikube.
Deploy, manage, and debug applications on Minikube effectively.
Integrate Minikube into continuous integration and deployment pipelines.
Leverage Minikube's advanced features to streamline their development process.
Apply industry best practices for local Kubernetes development.
This instructor-led, live training in Lyon (online or onsite) is designed for beginner to intermediate-level developers, system administrators, and DevOps engineers who want to gain a solid understanding of Kubernetes and cloud-native principles.
By the end of this training, participants will be able to:
Set up a development environment that includes Kubernetes.
Create a microservices application using Kubernetes.
Deploy, manage, and scale applications in Kubernetes.
This instructor-led, live training in Lyon (online or onsite) is designed for beginner to intermediate software developers and DevOps professionals who want 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 fundamental concepts and architecture of Kubernetes.
Deploy and manage containers using kubectl and the Minikube dashboard.
Set up persistent storage and networking solutions for Kubernetes.
Leverage Minikube for developing, testing, and debugging applications.
In this instructor-led live training in Lyon (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.
The Certified Kubernetes Administrator (CKA) program was established by The Linux Foundation and the Cloud Native Computing Foundation (CNCF).
Kubernetes has become a leading platform for container orchestration.
NobleProg has been providing Docker & Kubernetes training since 2015. With over 360 successfully completed training projects, we have become one of the most recognized training companies globally in the field of containerization.
Since 2019, we have also been helping our customers validate their performance in Kubernetes environments by preparing them and encouraging them to pass the CKA and CKAD exams.
This instructor-led, live training (online or onsite) is designed for System Administrators and Kubernetes users who wish to validate their knowledge by passing the CKA exam.
Additionally, the training focuses on gaining practical experience in Kubernetes Administration, so we recommend participating even if you do not intend to take the CKA exam.
Course Format
Interactive lectures and discussions.
Ample exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request customized training for this course, please contact us to arrange.
To learn more about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka
In this instructor-led live training in Lyon (online or onsite), participants will learn how to set up and manage a production-scale container environment using Kubernetes on AKS.
By the end of this training, participants will be able to:
Configure and manage Kubernetes on AKS.
Deploy, manage and scale a Kubernetes cluster.
Deploy containerized (Docker) applications on Azure.
Migrate an existing Kubernetes environment from on-premise to AKS cloud.
Integrate Kubernetes with third-party continuous integration (CI) software.
Ensure high availability and disaster recovery in Kubernetes.
This hands-on course is designed to equip participants with the essential tools and practical skills needed to effectively manage Docker and Kubernetes environments, ensuring they are fully prepared to handle operational challenges.
This instructor-led, live training (online or onsite) is designed for engineers seeking 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 distinct environments within a single cluster
Enhance the security, scalability, and monitoring capabilities of a Kubernetes cluster
Course Format
Interactive lectures and discussions
Extensive exercises and practical activities
Hands-on implementation in a live-lab environment
Customization Options
To request a customized version of this course, please contact us to make arrangements.
The Certified Kubernetes Application Developer (CKAD) program was created by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), the host organization for Kubernetes.
This instructor-led, live training (available online or onsite) is designed for Developers who want to validate their expertise in designing, building, configuring, and exposing cloud native applications on Kubernetes.
Furthermore, the training emphasizes gaining practical experience in Kubernetes application development; therefore, we recommend participating even if you do not plan to take the CKAD exam.
NobleProg has been providing Docker & Kubernetes training since 2015. With over 360 successfully completed training projects, we have become one of the most recognized training providers worldwide in the field of containerization. Since 2019, we have also been assisting our customers in validating their performance in k8s environments by preparing them and encouraging them to pass the CKA and CKAD exams.
Course Format
Interactive lectures and discussions.
Abundant exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request customized training for this course, please contact us to make arrangements.
To learn more about CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/
This instructor-led, live course in Lyon provides participants with an overview of Rancher and demonstrates through hands-on practice how to deploy and manage a Kubernetes cluster with Rancher.
Istio is an open-source service mesh designed for Kubernetes, enabling secure, observable, and manageable communication between microservices. By utilizing Istio's Envoy-based sidecar proxies, teams can enforce policies, secure communications via mTLS, gain deep traffic visibility, and enhance reliability at scale.
This instructor-led live training (available online or onsite) targets intermediate-level engineers looking to deploy, secure, and manage microservices applications using Istio on Kubernetes.
Upon completing this training, participants will be able to:
Install and configure Istio on Kubernetes clusters.
Understand and apply service mesh concepts, including traffic management, security, and observability.
Deploy microservices applications within an Istio service mesh.
Secure service-to-service communications using mutual TLS (mTLS) and Zero Trust principles.
Monitor, trace, and troubleshoot microservices using Prometheus, Grafana, and Jaeger.
Integrate Istio with Calico for advanced network policies and security.
Course Format
Interactive lectures and discussions.
Extensive exercises and practice sessions.
Hands-on implementation in a live lab environment.
Customization Options
To request customized training for this course, please contact us to arrange.
The advancement of microservices and containers in recent years has profoundly transformed the way we design, develop, deploy, and operate software. Contemporary applications must be optimized for scalability, elasticity, fault tolerance, and adaptability to change. Meeting these new demands requires modern architectures to adopt a distinct set of patterns and practices. This training explores methods to identify, comprehend, and adapt to these evolving requirements.
Audience
This training is designed for individuals who have a basic understanding of container technology and Kubernetes concepts but may lack practical, hands-on experience. The curriculum is grounded in use cases and lessons learned from real-world projects, aiming to inspire participants to build and manage more effective cloud-native applications.
Developers
Operations personnel
DevOps engineers
QA Engineers
IT Project Managers
Course Format
Interactive lectures and discussions
Extensive exercises and practical activities
Hands-on implementation in a live-lab environment
Course Customization Options
To request a customized training session for this course, please contact us to make arrangements.
This instructor-led, live training in Lyon (online or onsite) is designed for engineers looking to utilize Helm to streamline the installation and management of Kubernetes applications.
Upon completion of this training, participants will be able to:
Install and configure Helm.
Create reproducible builds for Kubernetes applications.
Distribute applications as Helm charts.
Run third-party applications stored as Helm charts.
This instructor-led, live training in Lyon (online or onsite) is aimed at DevOps engineers who wish to use Kubernetes and GitLab to automate the DevOps lifecycle.
By the end 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 in Lyon, participants will learn how to set up 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.
In this instructor-led, live training in Lyon (onsite or remote), participants will learn how to how to install, configure, and manage OKD on-premise or in the cloud.
By the end of this training, participants will be able to:
Create, configure, manage, and troubleshoot an OKD cluster.
Secure OKD.
Deploy containerized applications on OKD.
Monitor the performance of an application running in OKD.
Manage data storage.
Quickly deploy applications on-premise or on a public cloud such as AWS.
This instructor-led, live training in Lyon (online or onsite) is designed for Kubernetes practitioners aiming to prepare for the CKS exam.
By the end of this training, participants will understand how to secure Kubernetes environments and container-based applications throughout the various stages of an application's lifecycle: build, deployment, and runtime.
This instructor-led live training in Lyon (online or onsite) targets engineers who want to secure Kubernetes clusters beyond the default security settings.
By the end of this training, participants will be able to:
Understand the 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.
Put together a comprehensive security policy and set of best practices.
This instructor-led, live training (online or onsite) is designed for engineers who wish to evaluate each of these services to make informed decisions about deployment within their organization.
By the end of this training, participants will be able to:
Set up a development environment that includes all required libraries, packages, and frameworks to start developing.
Set up, configure, and deploy a series of demo containers using a variety of different approaches.
Understand the architectural and design differences among different Docker/Kubernetes solutions within AWS.
Automate the deployment of Docker containers.
Set up a continuous integration and deployment pipeline.
Integrate Docker and Kubernetes into an existing continuous integration system.
Apache Karaf serves as an OSGi-compliant runtime environment designed for deploying containerized applications.
Through this instructor-led live training session (available either onsite or remotely), participants will acquire the skills necessary to establish an OSGi-based project, progressing through the deployment of a modular Java application leveraging Apache Karaf.
Upon completing this training, participants will be capable of:
Installing and configuring Apache Karaf
Gaining insight into the fundamental characteristics of the OSGi runtime environment
Creating a containerized application within the Apache Karaf runtime
Target Audience
Architects
Developers
Training Format
A blend of lectures, discussions, exercises, and extensive hands-on practice.
Note
For those interested in customized training for this course, please contact us to arrange it.
In this instructor-led live training in Lyon, we introduce the architecture, components, and processes behind application virtualization and guide participants step-by-step through the deployment of App-V and App-V applications in a live lab environment. By the end of the course, participants will have the knowledge and hands-on practice needed to install, configure, administer, and troubleshoot App-V, as well as create, package, and deploy their own App-V applications.
This intensive 7-day programme offers a practical, in-depth exploration of designing, deploying, and managing cloud-native applications through contemporary DevOps methodologies.
Attendees will learn to architect scalable microservices, optimize containerized environments, and manage production workloads within Kubernetes. The curriculum encompasses advanced deployment techniques, GitOps-driven automation, and observability strategies essential for ensuring system reliability and performance.
Significant emphasis is placed on addressing real-world operational challenges, such as incident management, failure simulation, and root cause analysis. The programme culminates with the application of AI-powered tools to enhance troubleshooting capabilities and expedite operational decision-making.
Upon completion, participants will possess a clear understanding of how to build, deploy, monitor, and sustain resilient distributed systems within a Kubernetes ecosystem.
DC/OS (Distributed Cloud Operating System) is an open-source distributed operating system developed on top of the Apache Mesos project. Apache Mesos applies principles similar to those of the Linux kernel, but operates at a higher level of abstraction. The Mesos kernel runs on every machine and offers APIs for resource management and scheduling across entire data center and cloud environments for applications such as Hadoop, Spark, Kafka, and Elasticsearch. By abstracting CPU, memory, storage, and other compute resources away from individual machines (whether physical or virtual), Apache Mesos enables the efficient construction and operation of fault-tolerant and elastic distributed systems.
DC/OS unites Mesos with over 30 applications into a single, coherent system, much like how a Linux distribution packages the Linux kernel alongside applications to create a functional operating system.
This course provides participants with a comprehensive overview of Apache Mesos and DC/OS, demonstrating through hands-on practice how to deploy and manage a complete Data Center Operating System.
Audience
System administrators
DevOps engineers
Format of the course
Combination of lectures and discussions, with a strong emphasis on hands-on practice
This instructor-led live training in Lyon (online or onsite) targets DevOps engineers and developers who aim to utilize Fedora CoreOS to reduce maintenance and upgrade costs for containerized applications on Kubernetes.
By the end of this training, participants will be able to:
Install and configure Fedora CoreOS.
Set up a Kubernetes cluster on Fedora CoreOS.
Run and manage Kubernetes deployments on Fedora CoreOS.
Automatically update Fedora CoreOS with the latest OS improvements, bug fixes, and security updates.
This instructor-led live training in Lyon (online or onsite) targets DevOps engineers aiming to establish, deploy, and manage a Git-based software deployment workflow for their Kubernetes applications.
By the end of this training, participants will be able to:
Install and configure Spinnaker and Terraform.
Understand the benefits of GitOps over traditional CI/CD and Infrastructure-as-Code (IaC).
Move away from maintaining scripts. Configure and execute well-defined deployment process.
Apply best practices for cloud-native deployment, management, and monitoring.
Recover deployments from partial failures without manual intervention.
Create a GitOps strategy for application development.
This instructor-led, live training Lyon (online or onsite) is designed for 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.
Kubernetes is an open-source platform for automating all development stages of containerized applications. Design patterns are proven solutions to recurring software development challenges within software architecture. Kubernetes extensions are used to configure and support Kubernetes clusters. By leveraging Kubernetes design patterns and extensions, users can implement CI/CD strategies while ensuring the scalability and flexibility of their software applications.
This instructor-led live training (available online or onsite) is designed for developers and DevOps engineers who want to harness Kubernetes design patterns and extensions to build enterprise-grade applications on Kubernetes clusters.
By the end of this training, participants will be able to:
Provision a Kubernetes cluster and configure essential DevOps tools.
Grasp the fundamentals of software design patterns and Kubernetes extensions.
Apply Kubernetes extensions and design patterns when working with the Kubernetes API.
Create custom Kubernetes resources and implement dynamic controllers on a cluster.
Manage and secure any Kubernetes environment using Kubernetes plugins.
Incorporate DevOps networking models into current and future Kubernetes projects.
Course Format
Interactive lectures and discussions.
Numerous exercises and practical activities.
Hands-on implementation in a live-lab environment.
Customization Options
To request customized training for this course, please contact us to arrange.
This instructor-led, live training in Lyon (online or onsite) is aimed at intermediate to advanced DevOps engineers and system administrators who wish to deploy and manage self-hosted Kubernetes clusters without cloud dependencies.
By the end of this training, participants will be able to: deploy production-ready Kubernetes clusters using kubeadm on bare-metal or virtual machines; configure high-availability control planes and etcd clusters; implement container networking and storage for self-managed environments; set up monitoring and observability using self-hosted solutions.
OpenShift Container Platform v4 is an enterprise-grade Kubernetes platform created by Red Hat, designed to automate the deployment, scaling, and management of containerized applications.
This instructor-led, live training (available online or onsite) is tailored for system administrators and DevOps engineers who aim to deploy, manage, and operate OpenShift clusters within production environments.
The course adopts a practical, hands-on 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 Lyon (online or onsite), participants will learn how to create, update, and maintain applications using OpenShift Container Platform.
By the end of this training, participants will be able to:
Understand OCI (Open Containers Initiative) and its implications for using container engines such as Docker in OpenShift.
Understand the relationship between the different versions of OpenShift (OKD, 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 Lyon (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 Lyon (online or onsite) is designed for penetration testers who wish to conduct network penetration tests using Kali Linux and Python.
By the end of this training, participants will be able to:
Create Python programs to identify network vulnerabilities.
Explore and use Kali web shells and shellcode in exploits.
This hands-on training is designed for system administrators, developers, embedded engineers, and desktop users (including managers) seeking a comprehensive introduction to virtualization technologies. Upon completion, administrators will gain the skills necessary to build private clouds for production environments, while developers will be equipped to test their applications across multiple operating systems without requiring additional hardware such as a secondary PC or non-x86 boards.
We recognize that the breadth of topics covered may not be universally applicable. When reserving this course, please outline your specific objectives for using QEMU or KVM. We will tailor the curriculum by adjusting the time allocation from less relevant areas to focus on the skills most critical to your needs.
This instructor-led, live training in Lyon (online or onsite) is aimed at intermediate-level infrastructure professionals who wish to use Red Hat OpenShift to deploy, manage, and troubleshoot production containerized workloads.
By the end of this training, participants will be able to manage OpenShift clusters via CLI and web console, deploy applications with container images and Kubernetes manifests, troubleshoot networking and storage issues, and configure workloads for high availability and updates.
This instructor-led, live training in Lyon (online or onsite) 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.
Training being interactive. He engaged us a lot by asking questions and imaginary use cases. He shifted away from his agenda to explain more of the things we are demanded.
Berk Ozdilek - Deutsche Bank
Course - Kubernetes Advanced
About the microservices and how to maintenance kubernetes
Yufri Isnaini Rochmat Maulana - Bank Indonesia
Course - Advanced Platform Engineering: Scaling with Microservices and Kubernetes
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