Container and Virtual Machine (VM) Management Training in Turin

This instructor-led, live training in Turin (online or onsite) is aimed at advanced-level Kubernetes administrators and DevOps engineers who wish to enhance their monitoring skills for Kubernetes clusters using Prometheus and Grafana.

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

• Set up Prometheus and Grafana for Kubernetes monitoring.
• Monitor key metrics for pods, nodes, and services.
• Create dynamic dashboards to visualize cluster health and performance.
• Implement alerting strategies for proactive issue resolution.
• Apply best practices for scaling monitoring solutions in Kubernetes environments.

This live, instructor-led training in Turin (delivered online or onsite) is designed for DevOps engineers and developers aiming to utilize Kubernetes for building, deploying, and managing containers and cluster components in a secure, scalable environment.

By the end of this course, participants will be capable of:

• Comprehending the architecture, core concepts, and key components of the Kubernetes ecosystem.
• Setting up, installing, and configuring Kubernetes clusters for container orchestration.
• Executing Kubernetes operations effectively using command-line utilities.
• Gaining extensive hands-on experience ranging from fundamental to advanced Kubernetes operations and administration.

Through this instructor-led live training in Turin (onsite or remote), participants will learn how to deploy a set of sample servers inside containers. They will then master the automation, scaling, and management of these containerized servers within a Kubernetes cluster. The course progresses to more advanced topics, guiding participants through the processes of securing, networking, and monitoring a Kubernetes cluster.

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

• Setting up and running a Docker container.
• Deploying containerized databases and servers.
• Establishing a Docker and Kubernetes cluster.
• Utilizing Kubernetes to deploy and manage diverse environments under a single cluster.
• Securing, scaling, and monitoring a Kubernetes cluster.

This instructor-led, live training in Turin (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.
• Analyze and troubleshoot Kubernetes issues.
• Deploy resources efficiently using Helm Charts.

This instructor-led live training in Turin (online or onsite) is aimed at intermediate to advanced 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 Turin (online or onsite) targets advanced-level platform engineers and DevOps professionals who wish to master application scaling 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.

Discover the essentials of containers, Kubernetes, and OpenShift in a practical, hands-on training program tailored for developers, DevOps engineers, and IT professionals. Attendees will learn to build containerized applications, deploy workloads, manage Kubernetes resources, and leverage OpenShift to accelerate modern application delivery across cloud and hybrid environments.

This instructor-led live training in Turin (online or onsite) is designed for beginner-level developers who want 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.
• Use Kubefirst API and libraries.
• Profile and debug Kubefirst programs.

This instructor-led, live training in Turin (online or onsite) is designed for intermediate developers and DevOps engineers aiming to utilize Minikube within their development workflow.

By the end 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 using Minikube's advanced features.
• Apply best practices for local Kubernetes development.

This instructor-led live training, conducted in Turin (either online or on-site), is designed for intermediate system administrators seeking to effectively deploy, manage, and troubleshoot Hyper-V environments.

By the conclusion of this program, participants will have the ability to:

• Understand virtualization fundamentals 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 Turin (online or onsite) targets intermediate-level developers and DevOps engineers who wish to construct, deploy, and manage microservices using Spring Cloud and Docker.

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

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

This instructor-led, live training in Turin (online or onsite) is tailored for software developers and DevOps professionals at beginner to intermediate levels 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 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.

Training Objectives: Acquire theoretical and practical skills in Docker and Kubernetes.

In this instructor-led, live training in Turin (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.

In this instructor-led live training in Turin (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.

Acquire the skills to build, deploy, and administer containerized environments utilizing Docker, Kubernetes, and OpenShift. This five-day, hands-on training encompasses container images, Kubernetes workloads, cluster networking, storage, security, monitoring, and practical OpenShift administration. Participants will gain the necessary competencies to operate modern container platforms and troubleshoot applications across both development and production environments.

This instructor-led, live course in Turin provides participants with an overview of Rancher and demonstrates through hands-on practice how to deploy and manage a Kubernetes cluster with Rancher.

This instructor-led, live training in Turin (online or onsite) is designed for engineers looking to leverage Helm to simplify the installation and management of Kubernetes applications.

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

• Install and configure Helm.
• Create reproducible builds of Kubernetes applications.
• Share applications as Helm charts.
• Run third-party applications saved as Helm charts.
• Manage releases of Helm packages.

This instructor-led, live training in Turin (online or onsite) is targeted 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.

This live, instructor-led training in Turin (online or onsite) is designed for Kubernetes practitioners seeking to prepare for the CKS exam.

Upon completion, participants will understand how to secure Kubernetes environments and container-based applications throughout the application lifecycle, covering the build, deployment, and runtime stages.

This instructor-led, live training in Turin (available online or onsite) targets developers and DevOps engineers who wish to leverage a serverless approach for developing enterprise applications on Kubernetes.

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

• Set up and configure the Kubernetes system to initiate development with a serverless architecture.
• Comprehend the foundational concepts and principles of serverless environments.
• Manage the toolchains required for serverless development and integrate them with Kubernetes components.
• Apply their Python programming skills to implement serverless systems.
• Secure enterprise applications deployed through a serverless framework on Kubernetes.
• Utilize modern cloud computing methods to optimize DevOps task processing workflows.

This instructor-led live training in Turin (online or onsite) is designed for engineers seeking to enhance Kubernetes cluster security beyond default 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 the Kubernetes cluster from accidental or malicious access.
• Formulate a comprehensive security policy and a set of best practices.

This live, instructor-led training on Turin (delivered online or onsite) is designed for engineers seeking to expand their Docker proficiency. It focuses on deploying applications at scale while ensuring robust control and management.

By the end of the program, participants will be able to:

• Create proprietary Docker images.
• Manage the deployment of extensive Docker application portfolios.
• Evaluate and select the optimal container orchestration solution.
• Implement continuous integration processes for Docker applications.
• Seamlessly integrate Docker applications with existing continuous tooling.
• Fortify the security of their Docker applications.

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

• Create custom Docker images.
• Deploy and manage a high volume of Docker applications.
• Assess various container orchestration solutions and select the most appropriate one.
• Establish a continuous integration workflow for Docker applications.
• Integrate Docker applications into existing continuous integration toolchains.
• Enhance the security of Docker applications.
• Utilize Kubernetes to deploy and manage diverse environments within a single cluster.
• Secure, scale, and monitor a Kubernetes cluster.

This seven-day program offers a thorough, practical exploration of designing, deploying, and managing cloud-native applications using contemporary DevOps methodologies.

Attendees will learn to design scalable microservice architectures, optimize container environments, and handle production workloads with Kubernetes. The curriculum includes advanced deployment techniques, GitOps-driven automation, and observability strategies to guarantee system reliability and performance.

The program emphasizes real-world operational challenges, such as incident response, failure simulation, and root cause analysis. It concludes with the integration of AI-powered tools to enhance troubleshooting capabilities and streamline operational decision-making.

Upon completion, participants will possess a solid understanding of how to build, deploy, monitor, and maintain resilient distributed systems within a Kubernetes environment.

This instructor-led, live training in Turin (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.

During this instructor-led, live training held in Turin, participants will acquire the essential skills for building microservices using Spring Cloud and Docker. Knowledge is reinforced through exercises and the incremental development of sample microservices.

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

• Understand the fundamentals of microservices.
• Use Docker to build containers for microservice applications.
• Build and deploy containerized microservices using Spring Cloud and Docker.
• Integrate microservices with discovery services and the Spring Cloud API Gateway.
• Use Docker Compose for end-to-end integration testing.

OpenShift stands as one of the leading Kubernetes-based platforms for deploying and managing containerized applications in cloud, hybrid, and on-premises environments.

This hands-on training educates participants on how to install, administer, and troubleshoot OpenShift clusters while applying security, networking, and storage best practices. Through practical exercises, participants acquire the skills necessary to confidently manage production-ready OpenShift environments.

Discover how to develop, deploy, and manage containerized applications with OpenShift, a leading Kubernetes-based platform for cloud-native development. This practical training covers application deployment, containers, networking, CI/CD, and DevOps workflows, providing participants with the skills to build and maintain modern applications in production environments.

This instructor-led, live training in Turin (online or onsite) targets intermediate-level virtualization administrators who wish to utilize 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.