Online Kubernetes Training in New Zealand

Edge AI is a paradigm focused on running machine learning inference close to data sources to achieve low-latency, efficient, and scalable processing.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level practitioners who wish to deploy, orchestrate, and optimise AI workloads on Kubernetes-based edge environments.

By completing this course, participants will be able to:

• Set up lightweight Kubernetes distributions for edge deployments.
• Deploy AI inference workloads effectively across constrained edge nodes.
• Manage connectivity challenges and synchronisation patterns.
• Optimise performance, storage, and networking for real-world edge scenarios.

Format of the Course

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

Course Customisation Options

• To request a customised training tailored to your edge platform needs, 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 on-site) is aimed at advanced-level practitioners who wish to apply AI and machine learning techniques to optimise Kubernetes resource usage, scheduling decisions, and autoscaling strategies.

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

• Apply AI/ML models to improve workload scheduling decisions in Kubernetes.
• Use predictive analytics to optimise CPU, GPU, and memory allocation.
• Implement intelligent autoscaling using reinforcement learning and metric forecasting.
• Reduce infrastructure costs and latency through automated resource optimisation.

Course Format

• Instructor-led technical presentations and in-depth discussions.
• Hands-on lab work using real Kubernetes clusters.
• Practical exercises applying AI models to real operational scenarios.

Course Customisation Options

• To tailor this course to your platform setup or operational requirements, please contact us for customisation.

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

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

Upon 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 the training, testing, and packaging of ML models.
• Integrate monitoring, alerting, and rollback strategies.

Course Format

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

Course Customisation Options

• Organisations 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.

Course Format

• Guided presentations and collaborative discussions.
• Hands-on labs using real Kubeflow components.
• Practical exercises to build end-to-end ML workflows.

Course Customisation Options

• Customised versions of this training can be arranged to align with your team’s technology stack and project requirements.

Kubernetes is a scalable platform for deploying, serving, and managing machine learning models in production environments.

This instructor-led, live training (online or on-site) is designed for intermediate-level professionals who wish to operationalise ML models reliably on Kubernetes.

Upon completing this training, participants will gain the skills to:

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

Format of the Course

• Blended lecture, architectural analysis, and guided discussion.
• Extensive practical exercises with real-world deployment scenarios.
• Hands-on implementation using a live Kubernetes environment.

Course Customisation Options

• If you need this course tailored to your environment or toolchain, please contact us to discuss customisation options.

This instructor-led, live training in New Zealand (either online or on-site) is designed for advanced-level Kubernetes administrators and DevOps engineers who wish to enhance their monitoring skills for Kubernetes clusters using Prometheus and Grafana.

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

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

Kubernetes is an open-source platform for automating the deployment, scaling, and management of containerised applications.

This instructor-led, live training (available online or on-site) is designed for beginner to intermediate-level IT professionals who wish to master the core concepts and components of Kubernetes and use it to manage containerised applications at scale.

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

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

Course Format

• Interactive lectures and discussion.
• Abundant exercises and practice opportunities.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

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

This instructor-led, live training in New Zealand (delivered either online or on-site) is designed for DevOps engineers and developers who wish to leverage Kubernetes to build, deploy, and manage containers and cluster components within a secure and scalable environment.

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

• Understand the architecture, core concepts, and components of the Kubernetes ecosystem.
• Set up, install, and configure a Kubernetes cluster for container orchestration.
• Learn how to execute Kubernetes operations using command-line tools.
• Gain hands-on experience ranging from basic to advanced Kubernetes operations and administration.

In this instructor-led, live training in New Zealand (onsite or remote), participants will learn how to deploy a collection of sample servers inside containers, then automate, scale, and manage their containerised servers within a Kubernetes cluster. The training progresses to more advanced topics, guiding 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 containerised 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 New Zealand (online or onsite) is aimed at intermediate-level professionals who wish to effectively deploy, manage, and scale containerised 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 customise 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.
• Analyse and troubleshoot Kubernetes issues.
• Deploy resources efficiently using Helm Charts.

This instructor-led, live training in New Zealand (online or onsite) is designed for advanced-level platform engineers and DevOps professionals seeking 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.
• Utilise Helm charts for efficient service deployment.
• Monitor and maintain the health of microservices in production.
• Apply best practices for security and compliance within a Kubernetes environment.

DO180 provides an introduction to containers, the fundamentals of Kubernetes, and key concepts of the Red Hat OpenShift platform, with a strong emphasis on practical, hands-on skills.

This instructor-led, live training (available online or on-site) is designed for technical professionals at beginner to intermediate levels who wish to master container workflows, understand Kubernetes primitives, and learn 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, applying best practices to ensure reproducibility and security.
• Deploy and manage Kubernetes objects such as pods, deployments, and services within the OpenShift environment.
• Utilise OpenShift features, including routes, buildconfigs, and the web console, to streamline application delivery.
• Implement persistent storage, configuration management, and secrets handling to support stateful workloads.
• Apply foundational security measures, role-based access control (RBAC), and monitoring practices to maintain healthy clusters and applications.

Course Format

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

Course Customisation Options

• To request a customised version of this training, please contact us to arrange.

This instructor-led, live training in New Zealand (available online or on-site) is designed for beginner-level developers who wish to learn the fundamentals of Kubefirst and how it streamlines, secures, and speeds up Kubernetes and Swarm cluster management in enterprise environments.

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

• Set up a Kubefirst development environment.
• Write and execute a basic Kubefirst program.
• Annotate code using Kubefirst directives and clauses.
• Utilise the Kubefirst API and associated libraries.
• Profile and debug Kubefirst programs.

This instructor-led, live training in New Zealand (online or on-site) is designed for intermediate-level developers and DevOps engineers who wish to incorporate Minikube into their development workflows.

By the conclusion 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.
• Optimise their development processes by leveraging Minikube's advanced features.
• Apply best practices for local Kubernetes development.

This instructor-led, live training in New Zealand (available online or on-site) is designed for beginner to intermediate-level developers, system administrators, and DevOps engineers who wish 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-based application using Kubernetes.
• Deploy, manage, and scale applications within Kubernetes.
• Diagnose and resolve common issues in Kubernetes environments.

This instructor-led, live training in New Zealand (online or on-site) is designed for beginner to intermediate-level 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.
• Grasp the core 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.

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

In this instructor-led, live training in New Zealand (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) programme was created by The Linux Foundation and the Cloud Native Computing Foundation (CNCF).

Kubernetes is now a leading platform used for container orchestration.

NobleProg has been delivering Docker & Kubernetes training since 2015. With more than 360 successfully completed training projects, we have become one of the best-known training companies worldwide in the field of containerisation.

Since 2019, we have also been helping our customers confirm their performance in k8s environments by preparing them and encouraging them to pass the CKA and CKAD exams.

This instructor-led, live training (online or on-site) is aimed at System Administrators and Kubernetes users who wish to confirm their knowledge by passing the CKA exam.

On the other hand, the training is also focused on gaining practical experience in Kubernetes Administration, so we recommend taking part in it, even if you do not intend to take the CKA exam.

Course Format

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

Course Customisation Options

• To request customised 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 New Zealand (online or on-site), participants will learn how to set up and manage a production-grade 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 containerised (Docker) applications on Azure.
• Migrate an existing Kubernetes environment from on-premises to the AKS cloud.
• Integrate Kubernetes with third-party continuous integration (CI) software.
• Ensure high availability and disaster recovery in Kubernetes.

The aim of this hands-on course is to equip participants with all the tools needed to address the practical aspects of Docker and Kubernetes, ensuring they develop the essential skills for effective program management.

In this instructor-led, live training in New Zealand, 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 containerised applications on-premise, in public cloud or on a hosted cloud.
• Secure Red Hat OpenShift Container Platform
• Monitor and gather metrics.
• Manage storage.

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

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

• Create and configure an OpenShift environment.
• Deploy applications rapidly on-premises, in the public cloud, or on a hosted cloud.

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

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

• Use Kubernetes to deploy and manage different environments under the same cluster
• Secure, scale, and monitor a Kubernetes cluster

Course Format

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

Course Customisation Options

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

The Certified Kubernetes Application Developer (CKAD) programme has been developed by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), the host of Kubernetes.

This instructor-led, live training (online or onsite) is aimed at developers who wish to confirm their skills in designing, building, configuring, and exposing cloud-native applications for Kubernetes.

Furthermore, the training is also focused on gaining practical experience in Kubernetes application development, so we recommend taking part even if you do not intend to sit the CKAD exam.

NobleProg has been delivering Docker & Kubernetes training since 2015. With more than 360 successfully completed training projects, we have become one of the best-known training companies worldwide in the field of containerisation. Since 2019, we have also been helping our customers confirm their performance in k8s environments by preparing them and encouraging them to pass CKA and CKAD exams.

Course Format

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

Course Customisation Options

• To request a customised training session 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 New Zealand provides participants with an overview of Rancher and demonstrates, through hands-on practice, how to deploy and manage a Kubernetes cluster using Rancher.

Istio is an open-source service mesh that runs on Kubernetes to provide secure, observable, and manageable connectivity between microservices. By leveraging 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 on-site) 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.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice opportunities.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

• To request a customised training session 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 customisable and allows a Kubernetes deployment to mirror and/or integrate with an existing on-premises 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-premises to the 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

Course Format

• A blend of lecture, discussion, exercises and extensive hands-on practice in a live-lab environment.

Note

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

The evolution of microservices and containers in recent years has significantly transformed how we design, develop, deploy, and operate software. Modern applications must be optimised for scalability, elasticity, resilience to failure, and adaptability to change. Driven by these evolving demands, contemporary architectures require a distinct set of patterns and practices. In this training, we explore ways to identify, understand, and adapt to these new requirements.

Audience
This training is designed for individuals who are already somewhat familiar with container technology and Kubernetes concepts but may lack hands-on, real-world experience. Grounded in real-world use cases and lessons learned from actual projects, the course aims to inspire participants to create and manage even better cloud-native applications.

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

Course Format

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

Course Customisation Options

• To request a customised version of this training, please contact us to arrange.

This instructor-led, live training in New Zealand (online or on-site) is designed for engineers who want to evaluate, select, and deploy the most suitable Kubernetes solution for their specific requirements.

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

• Install and configure a Kubernetes cluster both on-premises and in the cloud.
• Assess various cloud-hosted Kubernetes solutions and understand their benefits compared to a self-hosted approach.
• Compare different tools used for testing, managing, and monitoring a Kubernetes cluster.

This instructor-led, live training in New Zealand (online or onsite) is aimed at engineers who wish to use Helm to streamline the process of installing and managing Kubernetes applications.

By the end 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 New Zealand (online or on-site) is designed for system administrators and developers who wish to use Prometheus to monitor Kubernetes clusters.

By the end 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 alerts that are precise and meaningful.

This instructor-led, live training in New Zealand (available online or on-site) is designed for DevOps engineers who want to leverage Kubernetes and GitLab to automate their DevOps lifecycle.

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

• Automate application builds, testing, and deployments.
• Establish an automated build infrastructure.
• Deploy applications to a containerised cloud environment.

This instructor-led, live training in New Zealand (online or on-site) is designed for engineers seeking to optimise 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.
• Grasp how Calico integrates internet routing protocols with consensus-based data stores.
• Use Calico to build a container networking solution for Kubernetes clusters.
• Apply Calico to enforce network policies within Kubernetes.

In this instructor-led, live training in New Zealand, 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 containerised (Docker) applications on Google Cloud.
• Migrate an existing Kubernetes environment from on-premises 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 New Zealand (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 containerised 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 New Zealand (delivered online or on-site) is designed for Kubernetes practitioners seeking 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 various stages of an application's lifecycle: build, deployment, and runtime.

This instructor-led, live training in New Zealand (available online or on-site) is designed for developers and DevOps engineers who wish to adopt a serverless approach to build enterprise applications on Kubernetes.

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

• Set up and configure the Kubernetes system to begin developing with a serverless architecture.
• Understand the core concepts and principles underpinning serverless environments.
• Operate the toolchains essential 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.
• Leverage modern cloud computing methods to optimise DevOps task processing workflows.

This instructor-led, live training in New Zealand (available online or on-site) is intended for engineers who wish to strengthen a Kubernetes cluster beyond its default security configuration.

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

• Understand the vulnerabilities inherent in a default Kubernetes installation.
• Prevent unauthenticated access to the Kubernetes API, databases, and other services.
• Protect a Kubernetes cluster from accidental or malicious access.
• Develop a comprehensive security policy and a set of best practices.

This instructor-led, live training (delivered online or on-site) is designed for engineers who wish to evaluate each of these services to make an informed decision about which solution best fits their organisation's needs.

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

• Set up a development environment equipped with all the necessary libraries, packages, and frameworks required to begin development.
• Configure, set up, and deploy a series of demonstration containers using a variety of different approaches.
• Understand the architectural and design differences between 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 a comprehensive, hands-on journey into designing, deploying, and operating cloud-native applications using modern DevOps practices.

Participants will explore how to design scalable microservices architectures, optimise container environments, and manage production workloads using Kubernetes. The course covers advanced deployment strategies, GitOps-based automation, and observability practices to ensure system reliability and performance.

A strong emphasis is placed on real-world operational challenges, including incident response, failure simulation, and root cause analysis. The programme concludes with the use of AI-powered tools to support troubleshooting and accelerate operational decision-making.

By the end of the training, participants will have a clear understanding of how to build, deploy, monitor, and maintain resilient distributed systems in a Kubernetes-based environment.

This instructor-led, live training in New Zealand (available online or on-site) is intended for DevOps engineers and developers who wish to leverage Fedora CoreOS to reduce the maintenance and upgrade costs associated with running containerised 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 improvements, bug fixes, and security patches.

This instructor-led, live training in New Zealand (online or on-site) is designed for DevOps engineers who want 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 advantages of GitOps compared to traditional CI/CD and Infrastructure-as-Code (IaC).
• Transition away from maintaining custom scripts by configuring and executing well-defined deployment processes.
• Apply best practices for cloud-native deployment, management, and monitoring.
• Recover deployments from partial failures without requiring manual intervention.
• Develop a GitOps strategy for application development.

This instructor-led, live training New Zealand (available online or on-site) is designed for DevOps engineers and developers seeking to use Java and Kubernetes (K8s) to create, build, test, debug, and deploy high-performance, scalable applications.

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

• Configure the necessary development environment for building Java applications.
• Grasp the core features and architecture of Kubernetes.
• Explore key concepts and tools essential for DevOps practices.
• Refresh their understanding of Java programming fundamentals.
• Containerise Java microservices using Docker.
• Build, scale, and deploy Java applications on Kubernetes.

Kubernetes is an open-source platform for automating all development stages of containerised applications. Design patterns are iterative solutions to software development problems relevant to software design. Kubernetes extensions are used to configure and support Kubernetes clusters. With the aid of Kubernetes design patterns and extensions, platform users can implement CI/CD approaches while maintaining the scalability and flexibility of their software applications.

This instructor-led, live training (delivered online or on-site) is designed for developers and DevOps engineers who wish to leverage Kubernetes design patterns and extensions to build 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.
• Utilise Kubernetes extensions and design patterns when interacting with the Kubernetes API.
• Develop custom 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 into existing and prospective Kubernetes projects.

Course Format

• Interactive lectures and discussions.
• Abundant exercises and practice opportunities.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

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

This instructor-led, live training in New Zealand (online or on-site) is designed for DevOps engineers and developers who want 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 routine OpenStack operations such as backup, restore, and more.
• Upgrade OpenStack deployments.

This instructor-led, live training in New Zealand (online or on-site) is tailored for developers and DevOps engineers who want 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 within 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.