Kubernetes Training in Melbourne

Edge AI is an approach centred on executing machine learning inference near data sources to deliver low-latency, efficient, and scalable processing.

This instructor-led, live training (delivered online or onsite) is designed for intermediate to advanced practitioners looking to deploy, orchestrate, and optimise AI workloads within Kubernetes-based edge environments.

Upon 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 synchronization 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 Customization Options

• To request a customized training tailored to your edge platform needs, please contact us to arrange.

Kubernetes serves as a leading container orchestration platform, extensively utilised for managing distributed applications at scale.

This instructor-led, live training (available online or onsite) is designed for advanced-level practitioners seeking to leverage AI and machine learning techniques to optimise Kubernetes resource usage, refine scheduling decisions, and enhance autoscaling strategies.

Upon completing this program, participants will be equipped to:

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

Course Format

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

Course Customisation Options

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

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 online or onsite) is designed for intermediate-level practitioners aiming to construct automated, scalable MLOps pipelines on Kubernetes.

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

• Design end-to-end CI/CD pipelines tailored 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-guided presentations and technical deep dives.
• Hands-on exercises focused on building 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

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

This instructor-led, live training in Melbourne (online or onsite) is designed for advanced-level Kubernetes administrators and DevOps engineers looking to enhance their monitoring capabilities for Kubernetes clusters using Prometheus and Grafana.

Upon completion 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 visualise 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 for automating deployment, scaling, and management of containerized applications.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level IT professionals who wish to learn the core concepts and components of Kubernetes and use 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 Melbourne (online or on-site) is designed for DevOps engineers and developers who wish to use Kubernetes to build, deploy, and manage containers and cluster components in a secure and scalable environment.

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

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

In this instructor-led live training in Melbourne (onsite or remote), participants will learn how to deploy a set of sample servers inside containers, then automate, scale, and manage these containerised servers within a Kubernetes cluster. The training advances to more complex topics, walking participants through the processes of securing, networking, and monitoring a Kubernetes cluster.

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

• Set up and run a Docker container.
• Deploy containerised databases and servers.
• Establish a Docker and Kubernetes cluster.
• Utilise Kubernetes to deploy and manage different environments within a single cluster.
• Secure, scale, and monitor a Kubernetes cluster.

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

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

• Design and implement scalable microservices architectures.
• Deploy and manage applications on Kubernetes clusters.
• Utilize Helm charts for efficient service deployment.
• Monitor and maintain the health of microservices in production.
• Apply best practices for security and compliance in a Kubernetes environment.

DO180 provides an overview of containers, Kubernetes fundamentals, and Red Hat OpenShift platform concepts, with a strong emphasis on practical skills.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate-level technical professionals who wish 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.
• Utilise 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 Melbourne (online or onsite) is designed for beginner-level developers who wish to learn the fundamentals of Kubefirst and understand 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 Melbourne (online or onsite) is designed for intermediate-level developers and DevOps engineers who want to incorporate Minikube into their development workflow.

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

• Set up and manage a local Kubernetes environment using Minikube.
• Gain insight into deploying, managing, and debugging applications on Minikube.
• Integrate Minikube into their continuous integration and deployment pipelines.
• Enhance their development process by leveraging Minikube's advanced features.
• Apply best practices for local Kubernetes development.

This instructor-led, live training in Melbourne (online or onsite) is aimed at beginner to intermediate-level developers, system administrators, and DevOps engineers who wish to understand Kubernetes and cloud-native principles.

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

• Set up a development environment that includes Kubernetes.
• Create a microservices application using Kubernetes.
• Deploy, manage, and scale applications in Kubernetes.
• Debug common issues in Kubernetes environments.

This instructor-led, live training in Melbourne (online or onsite) is aimed at beginner-level to intermediate-level software developers and DevOps professionals who wish 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 operational skills in Docker and Kubernetes.

In this instructor-led, live training in Melbourne (onsite or remote), participants will learn how to create and manage Docker containers, before deploying a sample application inside a container. Participants will also discover how to automate, scale, and manage their containerised applications within a Kubernetes cluster. Finally, the training covers more advanced topics, guiding 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 containerised 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) qualification was established by The Linux Foundation and the Cloud Native Computing Foundation (CNCF).

Kubernetes has now become a leading platform for container orchestration.

NobleProg has been delivering Docker and Kubernetes training since 2015. With over 360 successfully completed training projects, we have established ourselves as one of the most well-known training providers globally in the field of containerisation.

Since 2019, we have also been assisting our customers in validating their performance in Kubernetes environments by preparing them and encouraging them to sit for the CKA and CKAD examinations.

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.

Furthermore, the training focuses on gaining practical experience in Kubernetes Administration; therefore, we recommend participating even if you do not intend to take the CKA exam.

Format of the Course

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

Course Customization Options

• To request a customized training course, please contact us to make arrangements.
• To learn more about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

In this instructor-led, live training in Melbourne (online or onsite), participants will learn how to set up and manage a production-grade containerised environment using Kubernetes on AKS. 

Upon completion 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-premise to the AKS cloud.
• Integrate Kubernetes with third-party continuous integration (CI) software.
• Ensure high availability and disaster recovery in Kubernetes.

This hands-on course aims to equip participants with the essential tools and practical knowledge needed for Docker and Kubernetes. By the end, attendees will have the skills required to manage these technologies effectively.

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

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

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

In this instructor-led, live training in Melbourne, 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 setup.
• Quickly deploy applications on-premise, in the public cloud, or on a hosted cloud.

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

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

• Deploy and manage multiple environments under a single Kubernetes cluster
• Secure, scale, and monitor a Kubernetes cluster

Course Format

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

Course Customisation Options

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

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

This instructor-led, live training (available online or on-site) is designed for developers looking to validate their skills in designing, building, configuring, and exposing cloud-native applications on Kubernetes.

Furthermore, the training emphasises gaining practical experience in Kubernetes application development. We recommend attending, even if you do not currently plan to sit for the CKAD exam.

NobleProg has been delivering Docker and Kubernetes training since 2015. With over 360 successfully completed training projects, we have become one of the most recognised training providers globally in the field of containerisation. Since 2019, we have also been assisting our customers in demonstrating their proficiency in Kubernetes environments by preparing them and encouraging them to pass the CKA and CKAD exams.

Course Format

• Interactive lectures and discussions.
• Ample exercises and practice sessions.
• Hands-on implementation within a live lab environment.

Course Customisation Options

• To request bespoke 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 Melbourne provides participants with an overview of Rancher and demonstrates through hands-on practice how to deploy and manage a Kubernetes cluster with Rancher.

Istio is an open-source service mesh designed to operate on Kubernetes, facilitating secure, observable, and manageable communication between microservices. By utilising Istio’s Envoy-based sidecar proxies, teams can enforce policy controls, secure communications through mTLS, gain comprehensive visibility into traffic patterns, and enhance reliability at scale.

This instructor-led live training (available online or on-site) is tailored for intermediate-level engineers looking to deploy, secure, and manage microservices applications using Istio within a Kubernetes environment.

Upon completion 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 using mutual TLS (mTLS) and Zero Trust principles.
• Monitor, trace, and troubleshoot microservices using Prometheus, Grafana, and Jaeger.
• Integrate Istio with Calico to implement advanced network policies and security measures.

Course Format

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

Course Customization Options

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

EKS is a fully 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 evolution of microservices and containers has profoundly transformed how we design, develop, deploy, and operate software. Modern applications must be optimised for scalability, elasticity, resilience, and adaptability. Driven by these demands, contemporary architectures require a distinct set of patterns and practices. In this training, we explore methods to identify, understand, and adapt to these new requirements.

Audience
This training is designed for individuals who have some familiarity with container technology and Kubernetes concepts but may lack real-world experience. It is grounded in use cases and lessons learned from practical projects, aiming to inspire participants to create and manage even better cloud-native applications.

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

Course Format

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

Course Customisation Options

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

This instructor-led, live training in Melbourne (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 Melbourne (online or onsite) is designed for engineers who want to use Helm to streamline the installation and management of 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 Melbourne (available online or in-person) is designed for system administrators and developers looking to utilise Prometheus for monitoring Kubernetes clusters.

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

• Installing and configuring Prometheus.
• Monitoring dynamic cloud environments.
• Gaining deeper insight into their Kubernetes clusters.
• Setting up alerts that are both accurate and informative.

This instructor-led, live training in Melbourne (online or onsite) is aimed at DevOps engineers who wish to use Kubernetes and GitLab to automate the DevOps lifecycle.

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

• Automate application builds, tests, and deployments.
• Create an automated build infrastructure.
• Deploy an application to a containerised cloud environment.

This instructor-led, live training in Melbourne (online or on-site) is designed for engineers aiming to optimise networking for Kubernetes clusters.

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

• Install and configure Calico.
• Differentiate Calico from traditional overlay networks.
• Understand the integration of internet routing protocols with consensus-based data stores in Calico.
• Deploy Calico as a container networking solution for Kubernetes clusters.
• Apply network policies for Kubernetes using Calico.

In this instructor-led, live training in Melbourne, participants will gain the skills to establish and oversee a production-grade container environment using Kubernetes on Google Cloud.

Upon completing this training, participants will be equipped to:

• Configure and manage Kubernetes on Google Cloud.
• Deploy, manage, and scale Kubernetes clusters.
• Deploy containerised (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 Melbourne (onsite or remotely), participants will learn how to install, configure, and manage OKD either on-premise or in the cloud.

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

• Create, configure, manage, and troubleshoot an OKD cluster.
• Secure OKD systems.
• Deploy containerised applications on OKD.
• Monitor the performance of applications running within OKD.
• Manage data storage solutions.
• Rapidly deploy applications on-premise or on public cloud platforms such as AWS.

This instructor-led, live training in Melbourne (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, available in Melbourne (online or onsite), is aimed at developers and DevOps engineers who wish to utilise a serverless approach for building enterprise applications in Kubernetes.

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

• Set up and configure the Kubernetes system to start developing with a serverless architecture.
• Understand the concepts and principles foundational to serverless environments.
• Operate toolchains necessary for serverless development and integrate them 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.
• Utilise modern cloud computing methods in optimising DevOps task processing workflows.

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

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

• Identify vulnerabilities inherent in a standard Kubernetes installation.
• Prevent unauthenticated access to the Kubernetes API, database, and other services.
• Safeguard the Kubernetes cluster against both accidental and malicious access.
• Develop a comprehensive security policy and implement best practices.

This instructor-led, live training in (online or onsite) is aimed at engineers who wish to evaluate each of these services to make an informed decisions about which to deploy within their organisation.

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

• Set up a development environment that includes all needed libraries, packages and frameworks needed to start developing.
• Set up, configure and deploy a series of demo containers using a number of different approaches.
• Understand the architectural and design differences among different Docker/Kubernetes solutions within AWS.
• Automate the deployment of Docker containers.
• Set up a continuous integration and deployment pipeline.
• Integrate Docker and Kubernetes into an existing continuous integration system.

This seven-day programme offers an immersive, hands-on exploration into the design, deployment, and operation of cloud-native applications using contemporary DevOps methodologies.

Participants will delve into the creation of scalable microservice architectures, optimise container environments, and manage production workloads via Kubernetes. The curriculum encompasses advanced deployment strategies, GitOps-driven automation, and observability techniques to guarantee system reliability and performance.

There is a pronounced emphasis on real-world operational challenges, including incident response, failure simulation, and root cause analysis. The programme culminates with the application of AI-powered tools to aid troubleshooting and expedite operational decision-making.

Upon completion of the training, participants will possess a robust understanding of how to build, deploy, monitor, and maintain resilient distributed systems within a Kubernetes-based environment.

This instructor-led live training in Melbourne (online or onsite) is aimed at DevOps engineers and developers who wish to use Fedora CoreOS to reduce the maintenance and upgrade costs of 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 OS improvements, bug fixes, and security updates.

This instructor-led, live training in Melbourne (online or onsite) is aimed at DevOps engineers who wish to set up, deploy and manage a Git-based software deployment workflow for their Kubernetes applications.

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

• Install and configure Spinnaker and Terraform.
• Understand the benefits of GitOps over traditional CI/CD and Infrastructure-as-Code (IAC).
• Move away from maintaining scripts. Configure and execute well-defined deployment process.
• Apply best practices for cloud-native deployment, management, and monitoring.
• Recover deployments from partial failures without manual intervention.
• Create a GitOps strategy for application development.

This instructor-led, live training Melbourne (online or onsite) is tailored for DevOps engineers and developers who want to leverage 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 designed to automate every stage of developing containerised applications. Design patterns offer iterative solutions to software development challenges related to software architecture. Kubernetes extensions are employed to configure and support Kubernetes clusters. By leveraging Kubernetes design patterns and extensions, platform users can implement CI/CD approaches while maintaining the scalability and flexibility of software applications.

This instructor-led live training (available online or onsite) is targeted at developers and DevOps engineers who wish to utilise Kubernetes design patterns and extensions to build enterprise applications on Kubernetes clusters.

Upon completion 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 customised Kubernetes resources and apply dynamic controllers to a cluster.
• Manage and secure any Kubernetes environment using Kubernetes plugins.
• Integrate DevOps networking models into existing and prospective Kubernetes projects.

Format of the Course

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

Course Customisation Options

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

This instructor-led, live training in Melbourne (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 in Melbourne (online or onsite) is designed for DevOps engineers and developers aiming to deploy and manage OpenStack services within 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.
• Carrying out standard OpenStack operational tasks, such as backup and restore.
• Upgrading OpenStack deployments.

This instructor-led, live training in Melbourne (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.