Mirantis OpenStack for Kubernetes Training Course
Mirantis OpenStack for Kubernetes (MOS) is an open-source platform that delivers infrastructure-as-a-service for cloud environments. It facilitates the lifecycle management and monitoring of OpenStack along with its supported components on Kubernetes.
This instructor-led, live training (available online or on-site) is designed for DevOps engineers and developers who want to deploy and manage OpenStack services within cloud infrastructures using Kubernetes.
Upon completion of this training, participants will be able to:
- Deploy, configure, and manage MOS and its components.
- Access OpenStack APIs.
- Execute common OpenStack operational tasks (such as backup and restoration).
- Upgrade OpenStack deployments.
Course Format
- Interactive lectures and discussions.
- Numerous exercises and practical activities.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training version of this course, please contact us to arrange.
Course Outline
Introduction
Overview of MOS architecture
Preparing the requirements for MOS deployment
Deploying, configuring, and managing MOS components
Accessing OpenStack APIs and configuring parameters
Implementing Stacklight and Ceph operations
Backing up and restoring the MOS cluster
Upgrading OpenStack deployments using Lens Kubernetes IDE
Troubleshooting
Summary and Conclusion
Requirements
- Understanding of cloud virtualization and containerization technologies.
- Experience with OpenStack and Kubernetes deployments.
- Familiarity with the Linux command line.
Target Audience
- DevOps engineers.
- Developers.
Open Training Courses require 5+ participants.
Mirantis OpenStack for Kubernetes Training Course - Booking
Mirantis OpenStack for Kubernetes Training Course - Enquiry
Mirantis OpenStack for Kubernetes - Consultancy Enquiry
Testimonials (3)
About the microservices and how to maintenance kubernetes
Yufri Isnaini Rochmat Maulana - Bank Indonesia
Course - Advanced Platform Engineering: Scaling with Microservices and Kubernetes
How trainer deliver knowledge so effectively
Vu Thoai Le - Reply Polska sp. z o. o.
Course - Certified Kubernetes Administrator (CKA) - exam preparation
The knowledge and exchanges with Augustin
Laurent - L'Office national des vacances annuelles (ONVA)
Course - Docker and Kubernetes
Upcoming Courses
Related Courses
Advanced Platform Engineering: Scaling with Microservices and Kubernetes
35 HoursThis instructor-led, live training in Brazil (online or onsite) is aimed at advanced-level platform engineers and DevOps professionals who wish 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.
AI-Driven Kubernetes Operations: Autoscaling, Scheduling & Resource Optimization
21 HoursKubernetes is a widely adopted container orchestration platform for managing distributed applications at scale.
This instructor-led live training, available online or on-site, targets advanced practitioners seeking to leverage AI and machine learning techniques to optimize Kubernetes resource usage, scheduling decisions, and autoscaling strategies.
Upon completing this program, participants will be able to:
- Apply AI/ML models to enhance workload scheduling decisions in Kubernetes.
- Utilize predictive analytics to optimize CPU, GPU, and memory allocation.
- Implement intelligent autoscaling using reinforcement learning and metric forecasting.
- Reduce infrastructure costs and latency through automated resource optimization.
Format of the Course
- Instructor-guided technical presentations and in-depth discussions.
- Hands-on lab work with real Kubernetes clusters.
- Practical exercises applying AI models to real operational scenarios.
Course Customization Options
- To tailor this course to your platform setup or operational requirements, please contact us for customization.
Certified Kubernetes Administrator (CKA) - exam preparation
21 HoursThe Certified Kubernetes Administrator (CKA) program was established by The Linux Foundation and the Cloud Native Computing Foundation (CNCF).
Kubernetes has emerged as 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 become one of the most recognized training providers globally in the field of containerization.
Since 2019, we have also been helping our customers validate their performance in Kubernetes environments by preparing them and encouraging them to 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 focuses on gaining practical experience in Kubernetes Administration; therefore, we recommend participating even if you do not intend to take the CKA exam.
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 it.
- To learn more about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka
Certified Kubernetes Application Developer (CKAD) - exam preparation
21 HoursThe Certified Kubernetes Application Developer (CKAD) program was created by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), which hosts Kubernetes.
This instructor-led, live training (available online or onsite) is designed for Developers who want to validate their skills in designing, building, configuring, and exposing cloud-native applications for Kubernetes.
Additionally, the training emphasizes gaining practical experience in Kubernetes application development, so we recommend participating even if you do not plan to take 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 most recognized training companies worldwide in the field of containerization. Since 2019, we have also been assisting our customers in validating their performance in Kubernetes environments by preparing them and encouraging them to pass the CKA and CKAD exams.
Course Format
- Interactive lectures and discussions.
- Abundant 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 it.
- To learn more about CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/
Certified Kubernetes Security Specialist (CKS)
21 HoursThis instructor-led, live training in Brazil (online or onsite) is designed for 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.
Cloud‑Native DevOps Mastery: Designing, Deploying & Operating Scalable Kubernetes Microservices
49 HoursThis intensive 7-day programme delivers a thorough, practical exploration of designing, deploying, and managing cloud-native applications through contemporary DevOps methodologies.
Attendees will learn to craft scalable microservices architectures, optimize containerized environments, and manage production workloads using Kubernetes. The curriculum encompasses advanced deployment techniques, GitOps-driven automation, and observability standards to guarantee system reliability and high performance.
Great emphasis is placed on addressing real-world operational hurdles, such as incident response, failure simulation, and root cause analysis. The programme wraps up by leveraging AI-powered tools to facilitate troubleshooting and expedite operational decision-making.
Upon completion, participants will possess a solid grasp of how to construct, deploy, monitor, and sustain resilient distributed systems within a Kubernetes-based ecosystem.
DO180: Introduction to Containers, Kubernetes & OpenShift
35 HoursDO180 serves as an entry point into the world of containers, Kubernetes basics, and Red Hat OpenShift concepts, emphasizing practical, hands-on experience.
This instructor-led, live training (available online or on-site) is designed for technical professionals at beginner to intermediate levels who aim to master container workflows, understand Kubernetes primitives, and learn how to deploy and manage applications on OpenShift.
Upon completing this training, participants will be able to:
- Construct and manage container images and registries, adhering to best practices for security and reproducibility.
- Deploy and administer Kubernetes resources, such as pods, deployments, and services, within an OpenShift environment.
- Leverage OpenShift capabilities, including routes, build configurations, and the web console, to accelerate application delivery.
- Set up persistent storage, manage configurations, and handle secrets for stateful workloads.
- Apply fundamental security measures, Role-Based Access Control (RBAC), and monitoring techniques to ensure cluster and application health.
Course Format
- Interactive lectures and discussions.
- Daily hands-on labs conducted in a live OpenShift environment.
- Exercises and troubleshooting workshops driven by real-world scenarios.
Customization Options
- To arrange a customized training session for this course, please get in touch with us.
Docker, Kubernetes and OpenShift 3 for Administrators
35 HoursIn this instructor-led, live training in Brazil, 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-premises, in public clouds, or on hosted cloud environments.
- Secure OpenShift Container Platform
- Monitor the platform and gather metrics.
- Manage storage.
Docker and Kubernetes: Building and Scaling a Containerized Application
21 HoursThis instructor-led live training, located in Brazil (onsite or remote), will teach participants how to create and manage Docker containers and deploy a sample application within one. Participants will also learn to automate, scale, and manage their containerized applications inside a Kubernetes cluster. Furthermore, the training covers 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 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.
Docker and Kubernetes
21 HoursTraining Objectives: Gain theoretical and practical skills in Docker and Kubernetes.
Edge AI on Kubernetes: Deploying Intelligent Applications at the Edge
21 HoursEdge AI represents a paradigm focused on executing machine learning inference close to data sources to achieve low-latency, efficient, and scalable processing.
This instructor-led, live training (available online or onsite) is designed for intermediate to advanced practitioners looking to deploy, orchestrate, and optimize AI workloads within Kubernetes-based edge environments.
Upon completing this course, participants will be able to:
- Establish 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 tailored to real-world edge scenarios.
Course Format
- Guided presentations backed by real-world examples.
- Scenario-based labs and practical edge deployment exercises.
- Hands-on experience working with Kubernetes edge frameworks.
Customization Options
- For customized training tailored to your specific edge platform requirements, please contact us to arrange.
Deploying Kubernetes Applications with Helm
7 HoursThis instructor-led, live training in Brazil (online or onsite) is designed for engineers who want to use Helm to streamline the installation and management of Kubernetes applications.
Upon completion of this training, participants will be able to:
- Install and configure Helm.
- Create reproducible builds of Kubernetes applications.
- Share applications as Helm charts.
- Run third-party applications saved as Helm charts.
- Manage releases of Helm packages.
Introduction to Minikube and Kubernetes
21 HoursThis instructor-led, live training in Brazil (online or on-site) is targeted at beginner to intermediate 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 fundamental 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.
Minikube for Developers
14 HoursThis instructor-led, live training in Brazil (online or onsite) is designed for intermediate-level developers and DevOps engineers aiming to use Minikube as 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.