Kubernetes Training in Oslo

Edge AI refers to the approach of executing machine learning inference close to where data is generated, enabling low-latency, efficient, and scalable processing.

This instructor-led live training (available online or on-site) is designed for practitioners at intermediate to advanced levels who aim to deploy, orchestrate, and optimize AI workloads within Kubernetes-based edge environments.

Upon completing this course, participants will be able to:

• Configure 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 real-world edge scenarios.

Course Format

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

Course Customization Options

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

Kubernetes serves as a leading container orchestration platform, extensively utilized for managing distributed applications on a large scale.

This instructor-led, live training (available online or onsite) is designed for advanced practitioners aiming to leverage AI and machine learning techniques to optimize Kubernetes resource utilization, scheduling decisions, and autoscaling strategies.

Upon completing this program, participants will be equipped 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 expenses and latency through automated resource optimization.

Course Format

• Instructor-guided technical presentations alongside in-depth discussions.
• Practical lab sessions utilizing real Kubernetes clusters.
• Applied exercises that integrate AI models into real-world operational scenarios.

Customization Options

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

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

This instructor-led live training, available either online or onsite, is designed for intermediate-level practitioners looking to build automated and scalable MLOps pipelines on Kubernetes.

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

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

Format of the Course

• 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 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:

• Navigate the Kubeflow ecosystem and core components.
• Build reproducible workflows with Kubeflow Pipelines.
• Run scalable training jobs on Kubernetes.
• Serve machine learning models efficiently using Kubeflow Serving.

Format of the Course

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

This instructor-led live training, available either online or on-site, is designed for intermediate-level professionals seeking to reliably operationalize ML models on Kubernetes.

Upon completing this training, participants will acquire the following capabilities:

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

Course Format

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

Course Customization Options

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

This instructor-led, live training in Oslo (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 for the automated deployment, scaling, and management of containerized applications.

This instructor-led live training (available online or onsite) is designed for beginner to intermediate IT professionals seeking to grasp the core concepts and components of Kubernetes, enabling them to manage containerized applications at scale.

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

• Comprehend Kubernetes architecture and its constituent parts.
• 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 application.
• Hands-on implementation within a live laboratory environment.

Course Customization Options

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

This instructor-led live training, accessible Oslo (either online or onsite), is designed for DevOps engineers and developers who intend to utilize Kubernetes for building, deploying, and managing 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 Oslo (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 Oslo (online or onsite) targets intermediate-level professionals seeking to effectively deploy, manage, and scale containerized applications using Kubernetes.

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

• Grasp the Kubernetes architecture and its core components.
• Effectively isolate resources using Namespaces.
• Manage and customize workloads via Deployments, StatefulSets, and DaemonSets.
• Define computational resources through Requests and Limits.
• Utilize Jobs and CronJobs for scheduled tasks.
• Comprehend Services and DNS functionality within Kubernetes.
• Expose applications using Ingress.
• Manage ConfigMaps, Secrets, and Persistent Volumes.
• Scale and upgrade Kubernetes clusters employing advanced strategies.
• Analyze and troubleshoot Kubernetes issues.
• Deploy resources efficiently using Helm Charts.

This instructor-led, live training in Oslo (online or onsite) is designed for advanced-level platform engineers and DevOps professionals who want to master application scaling using microservices and Kubernetes.

Upon completion 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 introduction to containers, Kubernetes fundamentals, and Red Hat OpenShift platform concepts with a focus on practical skills.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate technical professionals who want to learn container workflows, Kubernetes primitives, and how to deploy and operate applications on OpenShift.

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

• Build and manage container images and registries using best practices for reproducibility and security.
• Deploy and manage Kubernetes objects such as pods, deployments, and services in OpenShift.
• Use OpenShift features including routes, buildconfigs, and the web console to streamline application delivery.
• Implement persistent storage, configuration management, and secrets handling for stateful workloads.
• Apply basic security, RBAC, and monitoring practices to maintain healthy clusters and applications.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs in a live OpenShift environment every day.
• Scenario-driven exercises and troubleshooting workshops.

Course Customization Options

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

This instructor-led, live training in Oslo (online or onsite) is tailored 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 an 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 Oslo (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to use Minikube as a part of 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 Oslo (online or onsite) is designed for beginner to intermediate-level developers, system administrators, and DevOps engineers who want to understand Kubernetes and cloud-native principles.

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

• Establish a development environment equipped with Kubernetes.
• Build a microservices application utilizing Kubernetes.
• Deploy, manage, and scale applications within Kubernetes.
• Troubleshoot common issues found in Kubernetes environments.

This instructor-led live training in Oslo (online or onsite) targets beginner to intermediate software developers and DevOps professionals who wish to learn how to establish and manage a local Kubernetes environment using Minikube.

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

• Installing and configuring Minikube on their local workstation.
• Gaining a solid understanding of Kubernetes' core concepts and architecture.
• Deploying and managing containers via kubectl and the Minikube dashboard.
• Implementing persistent storage and networking solutions for Kubernetes.
• Leveraging Minikube for application development, testing, and debugging.

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

In this instructor-led, live training in Oslo (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) credential was established by The Linux Foundation and the Cloud Native Computing Foundation (CNCF).

Kubernetes has emerged as the leading platform for container orchestration.

NobleProg has provided Docker and Kubernetes training since 2015. Having successfully completed over 360 training projects, we have established ourselves as one of the world's most renowned training providers in the field of containerization.

Since 2019, we have been assisting our customers in validating their expertise in Kubernetes environments by preparing them to take and pass 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.

Additionally, the training emphasizes gaining practical experience in Kubernetes Administration; therefore, we recommend participating even if you do not plan to take the CKA exam.

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 it.
• For more information about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

During this instructor-led live training in Oslo (online or onsite), attendees will learn how to set up and manage a production-scale container environment using Kubernetes on AKS.

Upon completing this course, participants will be capable of:

• Configuring and managing Kubernetes on AKS.
• Deploying, administering, and scaling Kubernetes clusters.
• Deploying containerized (Docker) applications on Azure.
• Transferring existing on-premise Kubernetes environments to the AKS cloud.
• Integrating Kubernetes with third-party continuous integration (CI) tools.
• Ensuring high availability and disaster recovery within Kubernetes.

The goal of this hands-on course is to equip participants with the practical tools and skills required for effective Docker and Kubernetes management.

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

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

• Create and configure an OpenShift setup.
• Quickly deploy applications on-premise, in a public cloud, or on a hosted cloud.

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

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

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

Course Format

• Interactive lectures and discussions
• Extensive hands-on exercises and practice sessions
• Practical implementation in a live-lab environment

Customization Options

• For customized training requests, please contact us to arrange your session.

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

This instructor-led live training (available online or on-site) targets developers who want to validate their expertise in designing, building, configuring, and exposing cloud-native applications for Kubernetes.

Additionally, the training emphasizes 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 companies globally in the field of containerization. Since 2019, we have also assisted customers in demonstrating their performance in k8s environments by preparing them to pass the CKA and CKAD exams.

Course Format

• Interactive lectures and discussions.
• Extensive 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.
• For more information about CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

This instructor-led, live course in Oslo 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 with mTLS, gain deep observability into traffic, and improve reliability at scale.

This instructor-led, live training (online or onsite) is aimed at intermediate-level engineers who wish to deploy, secure, and manage microservices applications using Istio on Kubernetes.

By the end of 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 with mutual TLS (mTLS) and Zero Trust principles.
• Monitor, trace, and troubleshoot microservices with Prometheus, Grafana, and Jaeger.
• Integrate Istio with Calico for advanced network policies and security.

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.

EKS is a self-managed Kubernetes-as-a-service offering from AWS. 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 recent advancements in microservices and container technologies have profoundly transformed the landscape of software design, development, deployment, and operation. Today's applications need to be optimized for scalability, elasticity, resilience, and adaptability. To meet these evolving demands, modern architectures require a distinct set of patterns and best practices. This course explores strategies to identify, comprehend, and adapt to these new challenges.

Target Audience
This training is designed for individuals who possess a foundational understanding of container technology and Kubernetes concepts but may lack extensive practical experience. Rooted in use cases and insights derived from real-world projects, the course aims to inspire participants to design and manage superior cloud-native applications.

• Developers
• Operations Staff
• DevOps Engineers
• QA Engineers
• IT Project Managers

Course Format

• Interactive lectures and discussions
• Extensive exercises and hands-on practice
• Practical implementation within a live-lab environment

Customization Options

• For customized training arrangements, please contact us.

This instructor-led, live training in Oslo (online or onsite) is designed for engineers who want to evaluate, choose, and deploy the most suitable Kubernetes solution for their specific needs.

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

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

This instructor-led, live training in Oslo (online or onsite) is designed for engineers who want 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.
• Generate reproducible builds of Kubernetes applications.
• Distribute applications using Helm charts.
• Execute third-party applications packaged as Helm charts.
• Manage releases of Helm packages.

This instructor-led, live training in Oslo (online or onsite) is designed for system administrators and developers who want to leverage Prometheus for monitoring Kubernetes clusters.

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

• Install and configure Prometheus.
• Monitor dynamic cloud environments.
• Gain better insight into their Kubernetes clusters.
• Set up alerts that are precise and insightful.

This instructor-led live training, available online or onsite, is targeted at DevOps engineers aiming to use Kubernetes and GitLab to automate their 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, held in Oslo (online or onsite), is designed for engineers aiming to optimize the networking infrastructure of Kubernetes clusters.

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

• Install and configure Calico.
• Comprehend the distinctions between Calico and traditional overlay networks.
• Understand how Calico merges internet routing protocols with consensus-based data stores.
• Develop a container networking solution for Kubernetes clusters using Calico.
• Implement network policies for Kubernetes using Calico.

In this instructor-led, live training at Oslo, 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 Oslo (onsite or remote), participants will learn 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 Oslo (online or onsite) is designed for Kubernetes practitioners aiming 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 Oslo (online or on-site) is aimed at developers and DevOps engineers who wish to utilize a serverless approach for building enterprise applications in Kubernetes.

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

• Setup and configure the Kubernetes system to start developing with a serverless architecture.
• Understand the concepts and principles foundational to serverless environments.
• Operate toolchains necessary to serverless development and integrate it with Kubernetes components.
• Practice their skill in Python programming language and apply it to implement  serverless systems.
• Secure enterprise applications that are deployed through a serverless framework on Kubernetes.
• Utilize modern cloud computing methods in optimizing DevOps task processing workflows.

This instructor-led, live training in Oslo (online or onsite) is designed for engineers who want to enhance their Kubernetes cluster security beyond default settings.

Upon completion, participants will be capable of:

• Identifying vulnerabilities inherent in a standard Kubernetes installation.
• Blocking unauthenticated access to the Kubernetes API, databases, and associated services.
• Safeguarding the cluster against both accidental and malicious intrusions.
• Developing a robust security policy along with a suite of best practices.

This instructor-led live training, offered online or on-site, is designed for engineers who wish to evaluate each of these services to make informed decisions about which to deploy within their organization.

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

• Set up a development environment containing all necessary libraries, packages, and frameworks required 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 various Docker and Kubernetes solutions within AWS.
• Automate the deployment of Docker containers.
• Establish a continuous integration and deployment pipeline.
• Integrate Docker and Kubernetes into an existing continuous integration system.

This seven-day programme offers an in-depth, practical exploration of designing, deploying, and managing cloud-native applications through contemporary DevOps methodologies.

Participants will investigate techniques for architecting scalable microservices, refining containerized environments, and handling production workloads with Kubernetes. The curriculum addresses advanced deployment tactics, GitOps-driven automation, and observability standards to guarantee system stability and performance.

There is a significant emphasis on tackling real-world operational hurdles, such as incident response, failure simulation, and root cause analysis. The programme wraps up by demonstrating how AI-driven tools can assist in troubleshooting and expedite operational decision-making.

Upon completion, participants will possess a thorough understanding of constructing, deploying, monitoring, and maintaining robust distributed systems within a Kubernetes ecosystem.

This instructor-led live training in Oslo (online or on-site) targets DevOps engineers and developers who want to utilize Fedora CoreOS to minimize the maintenance and upgrade costs of operating 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 system improvements, bug fixes, and security updates.

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

Upon completion of 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).
• Transition away from script maintenance by configuring and executing well-defined deployment processes.
• Implement best practices for cloud-native deployment, management, and monitoring.
• Automatically recover deployments from partial failures without manual intervention.
• Develop a GitOps strategy for application development.

This instructor-led, live training Oslo (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 iterable solutions to software development problems pertinent to software design. Kubernetes extensions are utilized for configuring and supporting Kubernetes clusters. With the help of Kubernetes design patterns and extensions, users of the platform can achieve CI/CD approaches while maintaining scalability and flexibility of software applications.

This instructor-led, live training (online or onsite) is aimed at developers and DevOps engineers who wish to leverage Kubernetes design patterns and extensions to create enterprise applications on Kubernetes clusters.

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

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

Format of the Course

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

Course Customization Options

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

This instructor-led, live training in Oslo (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.

This instructor-led, live training session in Oslo (available online or onsite) is designed for DevOps engineers and developers who aim to deploy and manage OpenStack services on cloud infrastructures using Kubernetes.

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

• Deploying, configuring, and managing MOS and its associated components.
• Accessing OpenStack APIs.
• Executing common OpenStack operational tasks (such as backup and restore).
• Upgrading OpenStack deployments.

This instructor-led live training in Oslo (on-site or remote) is designed for developers who want to utilise OpenFaas to create, build, test, debug, and deploy event-driven functions without the burden of managing underlying server infrastructure.

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

• Install and configure OpenFaas.
• Package any binary or code as a serverless function, eliminating the need for repetitive boiler-plate code.
• Decouple from AWS Lambda to avoid vendor lock-in.
• Deploy event-driven functions to on-premise servers or cloud environments.

This instructor-led live training in Oslo (online or onsite) is aimed at developers and DevOps engineers who wish to leverage Tekton Pipelines for supporting complex software development workflows and building 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.