Kubernetes Training in Turin

Edge AI represents a paradigm shift aimed at executing machine learning inference near data sources, ensuring low-latency, efficient, and scalable processing.

This instructor-led live training, available online or onsite, targets intermediate to advanced practitioners looking to deploy, orchestrate, and optimize AI workloads within Kubernetes-based edge environments.

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

• Configure lightweight Kubernetes distributions for edge deployments.
• Efficiently deploy AI inference workloads across resource-constrained edge nodes.
• Address connectivity challenges and manage synchronization patterns.
• Optimize performance, storage, and networking for real-world edge scenarios.

Course Format

• Guided presentations enriched with real-world examples.
• Scenario-based labs and practical edge deployment exercises.
• Hands-on experience with Kubernetes edge frameworks.

Customization Options

• For customized training tailored to your specific edge platform requirements, please contact us to arrange.

Kubernetes serves as a widely adopted container orchestration platform, enabling the management of distributed applications at scale.

This live training program, delivered by an instructor either online or onsite, is designed for advanced practitioners looking to leverage artificial intelligence and machine learning to optimize Kubernetes resource allocation, scheduling decisions, and autoscaling strategies.

Upon completing this course, participants will be able to:

• Utilize AI/ML models to enhance workload scheduling within Kubernetes.
• Employ predictive analytics to refine CPU, GPU, and memory allocation.
• Deploy intelligent autoscaling mechanisms using reinforcement learning and metric forecasting.
• Lower infrastructure costs and latency through automated resource optimization.

Course Format

• Instructor-led technical presentations alongside in-depth discussions.
• Practical lab exercises conducted on live Kubernetes clusters.
• Hands-on application of AI models to real-world operational scenarios.

Customization Options

• To adapt this course to your specific platform architecture or operational needs, please reach out to us for customization details.

MLOps on Kubernetes is a framework for automating the training, validation, packaging, and deployment of machine learning models using containerized pipelines and GitOps workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to build automated, scalable MLOps pipelines on Kubernetes.

After completing this training, participants will be equipped to:

• Design end-to-end CI/CD pipelines for machine learning.
• Implement GitOps workflows for model deployment and versioning.
• Automate training, testing, and packaging of ML models.
• Integrate monitoring, alerting, and rollback strategies.

Course Format

• Instructor-guided presentations and technical deep dives.
• Hands-on exercises that build real-world CI/CD workflows.
• Live-lab practice deploying ML workloads to Kubernetes.

Course Customization Options

• Organizations may request tailored content aligned with their internal MLOps tools and infrastructure.

Kubeflow is an open-source platform engineered to simplify the process of building, training, and deploying machine learning workloads on Kubernetes.

This instructor-led live training (available online or onsite) is designed for professionals at beginner to intermediate levels who aim to establish robust ML workflows using Kubeflow.

After completing this training, participants will acquire the ability to:

• Explore the Kubeflow ecosystem and its fundamental components.
• Develop reproducible workflows utilizing Kubeflow Pipelines.
• Execute scalable training jobs on Kubernetes.
• Deploy machine learning models efficiently with Kubeflow Serving.

Course Format

• Structured presentations coupled with collaborative discussions.
• Practical labs involving real-world Kubeflow components.
• Hands-on exercises to construct end-to-end ML workflows.

Course Customization Options

• Tailored versions of this training can be configured to match your team’s technology stack and specific project needs.

Kubernetes serves as a scalable platform for deploying, serving, and managing machine learning models within production environments.

This instructor-led live training, available online or onsite, targets intermediate-level professionals seeking to reliably operationalize ML models on Kubernetes.

After completing this training, participants will acquire the skills to:

• Containerize and prepare ML models for efficient deployment.
• Serve models using modern inference frameworks.
• Optimize workloads through autoscaling, GPU configuration, and resource tuning.
• Implement model rollout strategies such as A/B testing and canary deployments.

Course Format

• A blend of lectures, architectural analysis, and guided discussion.
• Extensive practical exercises featuring real-world deployment scenarios.
• Hands-on implementation within a live Kubernetes environment.

Customization Options

• For courses tailored to your specific environment or toolchain, please contact us to discuss customization options.

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.

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

This instructor-led, live training (available online or onsite) is tailored for beginner to intermediate-level IT professionals who want to grasp the core concepts and components of Kubernetes and leverage it to manage containerized applications at scale.

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

• Understand Kubernetes architecture and components.
• Deploy and manage containers in a Kubernetes cluster.
• Configure networking, storage, and scaling for workloads.
• Troubleshoot common issues and follow best practices for cluster operations.

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 Turin (online or on-site) is designed for DevOps engineers and developers who wish to utilize Kubernetes to build, deploy, and manage containers and cluster components in a secure and scalable environment.

By the conclusion 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 Turin (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 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) 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.

DO180 provides an entry-level exploration of containers, core Kubernetes principles, and Red Hat OpenShift platform concepts, emphasizing practical, hands-on experience.

This instructor-led, live training session (available online or onsite) is designed for technical professionals at a beginner to intermediate level who aim to master container workflows, understand Kubernetes primitives, and learn how to deploy and manage applications on OpenShift.

Upon completing this training, participants will be capable of:

• Building and managing container images and registries while adhering to best practices for security and reproducibility.
• Deploying and managing Kubernetes objects, including pods, deployments, and services, within the OpenShift environment.
• Leveraging OpenShift features such as routes, buildconfigs, and the web console to accelerate application delivery.
• Implementing persistent storage, configuration management, and secrets handling for stateful workloads.
• Applying fundamental security measures, RBAC, and monitoring practices to ensure the health of clusters and applications.

Course Format

• Interactive lectures and discussions.
• Daily hands-on labs conducted in a live OpenShift environment.
• Scenario-based exercises and troubleshooting workshops.

Customization Options

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

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 in Turin (online or onsite) is designed for developers, system administrators, and DevOps engineers at beginner to intermediate levels who want to grasp Kubernetes and cloud-native principles.

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

• Establish a development environment incorporating Kubernetes.
• Develop a microservices application utilizing Kubernetes.
• Deploy, manage, and scale applications within Kubernetes.
• Troubleshoot common issues in Kubernetes environments.

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.

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.

Since 2015, NobleProg has been providing Docker and Kubernetes training. With over 360 successfully completed training projects, we have established ourselves as one of the most recognized training providers globally in the field of containerization.

Since 2019, we have also been supporting our customers in validating their skills in k8s environments by preparing them and encouraging them to take the CKA and CKAD exams.

This instructor-led, live training (available online or onsite) is designed for System Administrators and Kubernetes users who wish to validate their knowledge by passing the CKA exam.

Moreover, the training focuses on gaining practical experience in Kubernetes Administration, so we recommend participating even if you do not plan to take the CKA exam.

Course Format

• Interactive lectures and discussions.
• Abundant exercises and practice sessions.
• 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 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.

This hands-on course is designed to equip participants with the essential tools and practical knowledge needed for Docker and Kubernetes. The goal is to ensure that learners develop the necessary skills to effectively manage and operate these technologies in real-world scenarios.

In this instructor-led, live training in Turin, participants will learn how to manage Red Hat OpenShift Container Platform.

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

• Create, configure, manage, and troubleshoot OpenShift clusters.
• Deploy containerized applications on-premise, in public cloud or on a hosted cloud.
• Secure OpenShift Container Platform
• Monitor and gather metrics.
• Manage storage.

In this instructor-led, live training in Turin, participants will learn how to use OpenShift Container Platform to deploy containerized applications.

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

• Create and configure an OpenShift environment.
• Rapidly deploy applications on-premises, in public cloud environments, or on hosted cloud platforms.

This instructor-led, live training (available online or on-site) is designed for engineers who want to automate, secure, and monitor containerized applications within large-scale Kubernetes clusters.

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

• Use Kubernetes to deploy and manage different environments within a single cluster
• Secure, scale, and monitor a Kubernetes cluster

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 it.

The Certified Kubernetes Application Developer (CKAD) certification program was created by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), the organization responsible for hosting Kubernetes.

This instructor-led, live training (available online or in-person) is designed for developers looking to validate their ability to design, build, configure, and expose cloud-native applications on Kubernetes.

Additionally, 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 and Kubernetes training since 2015. With over 360 successfully completed training projects, we have become one of the most renowned training providers globally in the field of containerization. Since 2019, we have also been assisting 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.
• Extensive exercises and practice sessions.
• 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 CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

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.

Istio is an open-source service mesh that operates on Kubernetes to deliver secure, observable, and manageable connectivity between microservices. By utilizing Istio’s Envoy-based sidecar proxies, teams can enforce policies, secure communications through mTLS, gain deep visibility into traffic patterns, and enhance reliability at scale.

This instructor-led live training (available online or onsite) targets intermediate-level engineers aiming to deploy, secure, and manage microservices applications using Istio on Kubernetes.

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

• Installing and configuring Istio on Kubernetes clusters.
• Understanding and implementing service mesh concepts, including traffic management, security, and observability.
• Deploying microservices applications within an Istio service mesh.
• Securing service-to-service communications using mutual TLS (mTLS) and Zero Trust principles.
• Monitoring, tracing, and troubleshooting microservices using Prometheus, Grafana, and Jaeger.
• Integrating Istio with Calico for advanced network policies and security.

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 make arrangements.

EKS is an AWS-managed Kubernetes-as-a-service offering. EKS is fully scalable and customizable and allows a Kubernetes deployment to mimic and/or integrate with an existing on-premise Kubernetes setup.

In this instructor-led, live training, participants will learn how to set up and manage a production-scale container environment using Kubernetes on EKS.

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

• Configure and manage Kubernetes on EKS
• Migrate an existing Kubernetes environment from on-premise to AWS cloud
• Integrate Kubernetes with third-party continuous integration (CI) software
• Ensure high availability and disaster recovery in Kubernetes
• Understand and adopt the tools available to efficiently manage EKS

Audience

• Developers
• System Administrators
• DevOps Engineers

Format of the Course

• Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.

Note

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

The rapid advancement of microservices and container technologies in recent years has fundamentally transformed how we design, develop, deploy, and operate software. Today's applications need to be optimized for scalability, elasticity, resilience against failures, and adaptability to change. To meet these modern demands, architecture requires a distinct set of patterns and practices. In this training, we explore strategies to identify, comprehend, and adapt to these evolving requirements.

Target Audience
This course is designed for individuals who have a foundational understanding of container technology and Kubernetes concepts but may lack practical, real-world experience. The content is grounded in use cases and lessons learned from actual projects, aiming to inspire participants to build and manage even more effective cloud-native applications.

• Developers
• Operations staff
• DevOps professionals
• QA Engineers
• IT Project Managers

Course Format

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

Course Customization Options

• To arrange a customized training session for this course, please contact us to discuss your specific needs.

This instructor-led live training in Turin (online or onsite) is aimed at 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 different 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 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 designed for system administrators and developers who want to leverage Prometheus to monitor Kubernetes clusters.

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

• Install and configure Prometheus.
• Monitor dynamic cloud environments.
• Gain deeper insights into their Kubernetes clusters.
• Set up precise and informative alerts.

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 instructor-led, live training in Turin (online or onsite) is aimed at engineers who wish to optimize networking for Kubernetes clusters.

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

• Install and configure Calico.
• Understand how Calico differs from traditional overlay networks.
• Understand how Calico combines internet routing protocols with consensus-based data stores.
• Use Calico to create a container networking solution for Kubernetes clusters.
• Use Calico to provide network policy for Kubernetes.

In this instructor-led, live training in Turin, 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 Turin (onsite or remote), participants will learn how to install, configure, and manage OKD in on-premise or cloud environments.

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

• Create, configure, manage, and troubleshoot OKD clusters.
• Implement security measures for OKD.
• Deploy containerized applications within OKD.
• Monitor the performance of applications running on OKD.
• Manage data storage solutions.
• Rapidly deploy applications either on-premise or on public cloud platforms such as AWS.

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

By the end of this training, participants will know how to secure Kubernetes environments and container-based applications throughout the different stages of an application's life cycle: build, deployment and runtime.

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 instructor-led, live training (online or on-site) is tailored for engineers who wish to evaluate each service 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 necessary libraries, packages, and frameworks required to start developing.
• Set up, configure, and deploy a series of demo containers using various approaches.
• Understand the architectural and design differences among different Docker and 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.

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 intensive 7-day programme offers a thorough, practical exploration into the design, deployment, and operation of cloud-native applications through contemporary DevOps methodologies.

Attendees will delve into crafting scalable microservices architectures, optimizing containerized environments, and managing production workloads via Kubernetes. The curriculum addresses advanced deployment techniques, GitOps-driven automation, and observability strategies to guarantee system reliability and optimal performance.

The programme places significant emphasis on tackling real-world operational hurdles, such as incident management, failure simulation, and root cause analysis. It concludes with the integration of AI-driven tools to streamline troubleshooting and expedite operational decisions.

Upon completion, participants will possess a solid understanding of how to construct, deploy, monitor, and sustain resilient distributed systems within a Kubernetes ecosystem.

This instructor-led live training in Turin (online or onsite) targets DevOps engineers and developers who want to use Fedora CoreOS to reduce the maintenance and upgrade costs of running 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 OS with the latest OS improvements, bug fixes, and security updates.

This instructor-led, live training in Turin (online or onsite) is designed for DevOps engineers looking to establish, deploy, and manage a Git-driven software deployment workflow for their Kubernetes applications.

Upon completing this training, participants will be able to:

• Install and configure Spinnaker and Terraform.
• Grasp the advantages of GitOps compared to traditional CI/CD and Infrastructure-as-Code (IAC).
• Reduce reliance on manual script maintenance by configuring and executing a clearly defined deployment process.
• Implement best practices for cloud-native deployment, management, and monitoring.
• Recover from partial deployment failures without requiring manual intervention.
• Develop a GitOps strategy for application development.

This instructor-led live training Turin (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.

Kubernetes serves as an open-source platform designed to automate every phase of the development lifecycle for containerized applications. Design patterns provide repeatable solutions to common challenges in software architecture, while Kubernetes extensions allow for the configuration and support of Kubernetes clusters. By leveraging these design patterns and extensions, platform users can implement CI/CD strategies while preserving the scalability and flexibility of their software applications.

This instructor-led live training, available either online or onsite, targets developers and DevOps engineers aiming to utilize Kubernetes design patterns and extensions to build enterprise-grade applications on Kubernetes clusters.

Upon completing this training, participants will be able to:

• Configure a Kubernetes cluster and set up essential DevOps tools.
• Grasp the core principles of software design patterns and Kubernetes extensions.
• Apply Kubernetes extensions and design patterns when working with the Kubernetes API.
• Build custom Kubernetes resources and deploy dynamic controllers within a cluster.
• Manage and secure Kubernetes environments using various plugins.
• Incorporate DevOps networking models into current and future Kubernetes initiatives.

Course Format

• Interactive lectures and group discussions.
• Extensive practical exercises and hands-on practice.
• Live-lab implementation exercises.

Customization Options

• To arrange a tailored version of this course, please contact us for scheduling.

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.

At the end of this professional course, participants will have acquired the knowledge and skills necessary to effectively implement, manage, and scale the Kuma service mesh within Kubernetes environments. They will be able to implement advanced traffic routing, observability, and security features to optimize the performance and reliability of their microservices-based applications.

This instructor-led, live training in Turin (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.

This instructor-led live training Turin (available 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.