Online or onsite, instructor-led live Kubernetes training courses demonstrate through interactive discussion and hands-on practice how to deploy, manage and scale containerized applications in a clustered environment.
Kubernetes training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Kubernetes training can be carried out locally on customer premises in Rzeszow or in NobleProg corporate training centers in Rzeszow.
Kubernetes training courses cover container basic and advanced container networking, administration and development and demonstrate real-world use cases, including the microservice development.
NobleProg -- Your Local Training Provider
Rzeszów
RISE, Plac Wolności 13, Rzeszów, Poland, 35-073
The training room is located in the very heart of Rzeszow, making it easily accessible for participants. In the immediate vicinity, there are major public transportation hubs, such as city buses (MPK), railways (PKP), and long-distance buses (PKS), facilitating access from various parts of the city and beyond. Additionally, there is an underground parking garage at the Center Park gallery nearby, providing convenient parking for those using their own vehicles.
This instructor-led, live training in Rzeszow (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.
This instructor-led, live training in Rzeszow (online or onsite) is aimed at intermediate-level professionals who wish to effectively deploy, manage, and scale containerized applications using Kubernetes.
By the end of this training, participants will be able to:
Understand the Kubernetes architecture and its components.
Isolate resources effectively using Namespaces.
Manage and customize workloads with Deployments, StatefulSets, and DaemonSets.
Define computational resources using Requests and Limits.
Work with Jobs and CronJobs for scheduled tasks.
Understand Services and DNS within Kubernetes.
Expose applications using Ingress.
Manage ConfigMaps, Secrets, and Persistent Volumes.
Scale and upgrade Kubernetes clusters using advanced strategies.
This instructor-led, live training in Rzeszow (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.
This instructor-led, live training in Rzeszow (online or onsite) is aimed at beginner-level developers who wish to learn the basics of Kubefirst and how it simplifies, secures, and accelerates Kubernetes and Swarm cluster management at enterprise scale.
By the end of this training, participants will be able to:
Set up a Kubefirst development environment.
Write and run a basic Kubefirst program.
Annotate code with Kubefirst directives and clauses.
This instructor-led, live training in Rzeszow (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 Rzeszow (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.
This instructor-led, live training in Rzeszow (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.
In this instructor-led, live training in Rzeszow (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.
In this instructor-led, live training in Rzeszow (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.
The Certified Kubernetes Administrator (CKA) program was created by The Linux Foundation and the Cloud Native Computing Foundation (CNCF).
Kubernetes is nowadys a leading platform used for containers orchestration.
NobleProg have been delivering Docker & Kubernetes training from 2015. With more than 360 successfully completed training projects, we became one of the best known training companies worldwide in field of containerization.
Since 2019 we are also helping our customers to confirm their performance in k8s environment by preparing them and encouraging to pass CKA and CKAD exams.
This instructor-led, live training (online or onsite) is aimed at System Administrators, Kubernetes users who wish to confirm their knowledge by passing CKA exam.
On the other hand, training is focused also on gaining practical experience in Kubernetes Administration, so we recommend taking part in it, even if you don't intend to take CKA exam.
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.
To learn more about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka
In this instructor-led, live training in Rzeszow (online or onsite), participants will learn how to set up and manage a production-scale container environment using Kubernetes on AKS.
By the end of this training, participants will be able to:
Configure and manage Kubernetes on AKS.
Deploy, manage and scale a Kubernetes cluster.
Deploy containerized (Docker) applications on Azure.
Migrate an existing Kubernetes environment from on-premise to AKS cloud.
Integrate Kubernetes with third-party continuous integration (CI) software.
Ensure high availability and disaster recovery in Kubernetes.
The objective of this practical course is to provide all the tools that address the practical aspects of Docker and Kubernetes, in order that the participants can count on the necessary skills for the proper management of the program.
In this instructor-led, live training in Rzeszow, 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.
In this instructor-led, live training in Rzeszow, 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 public cloud or on a hosted cloud.
This instructor-led, live training (online or onsite) is aimed at engineers wishing to automate, secure, and monitor containerized applications in 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
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.
The Certified Kubernetes Application Developer (CKAD) program 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 design, build, configure, and expose cloud native applications for Kubernetes.
On the other hand, training is also focused on gaining practical experience in Kubernetes application development, so we recommend taking part in it, even if you don't intend to take CKAD exam.
NobleProg have been delivering Docker & Kubernetes training from 2015. With more than 360 successfully completed training projects, we became one of the best known training company worldwide in field of containerization. Since 2019 we are also helping our customers to confirm their performance in k8s environment by preparing them and encouraging to pass CKA and CKAD exams.
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.
To learn more about CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/
This instructor-led, live course in Rzeszow provides participants with an overview of Rancher and demonstrates through hands-on practice how to deploy and manage a Kubernetes cluster with Rancher.
This instructor-led, live training in Rzeszow (online or onsite) is aimed at engineers who wish to connect, secure, and manage cloud-based applications (e.g., microservices) using an Istio-based service mesh.
By the end of this training, participants will be able to:
Install and configure Istio on Kubernetes.
Understand service meshes and to implement one with Istio.
Deploy an Istio service mesh on top of Kubernetes.
Use a service mesh to run, manage and monitor microservices in the cloud.
This instructor-led, live training in Rzeszow (online or onsite) is aimed at developers who wish to containerize their Java EE 8 applications and run them as microservices in the cloud.
By the end of this training, participants will be able to:
Build and deploy Java microservices in Docker containers.
Manage Docker containers using Kubernetes.
Integrate microservices with an existing monolithic system.
Monitor, test, and secure microservices.
Troubleshoot containers and orchestration environments.
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 evolution of microservices and containers in recent years has significantly changed how we design, develop, deploy and run software. Modern applications must be optimized for scalability, elasticity, failure, and change. Driven by these new demands, modern architectures require a different set of patterns and practices. In this training, we examine ways to identify, understand and adjust to these new requirements.
Audience
This training is intended for people who are somewhat familiar with container technology and with Kubernetes concepts but are perhaps lacking the real world experience. It is based on use cases, and lessons learnt from real life projects with the intention of making people inspired to create and manage even better cloud native applications.
Developers
Operations
DevOps
QA Engineers
IT Project Managers
Format of the Course
Interactive lecture and discussion
Lots of exercises and practice
Handson 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 Rzeszow (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 an self-hosted approach.
Compare different tools for testing, managing, and monitoring a Kubernetes cluster.
This instructor-led, live training in Rzeszow (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.
This instructor-led, live training in Rzeszow (online or onsite) is aimed at 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 better insight into their Kubernetes clusters.
This instructor-led, live training in Rzeszow (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 containerized cloud environment.
This instructor-led, live training in Rzeszow (online or onsite) is aimed at engineers who wish to optimize networking for Kubernetes clusters.
By the end of this training, participants will be able to:
Install and configure Calico.
Understand how Calico differs from traditional overlay networks.
Understand how Calico combines internet routing protocols with consensus-based data stores.
Use Calico to create a container networking solution for Kubernetes clusters.
Use Calico to provide network policy for Kubernetes.
In this instructor-led, live training in Rzeszow, 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.
During the "Introduction to Microsoft Azure and Azure Kubernetes Service" training, participants will acquire skills in creating applications in the Microsoft Azure cloud, using containerization (Docker) and service Azure Kubernetes Service (AKS). The course covers architecture Microsoft Azure, application hosting strategies, creating resource groups and configuring services. Participants will also learn modern application development practices using Git repository, containers Docker, CI/CD flows and AKS. The training will include practical implementation examples and concepts Docker, Kubernetes and integration with tools Azure DevOps.
In this instructor-led, live training in Rzeszow (onsite or remote), participants will learn how to 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 Rzeszow (online or onsite) is aimed at Kubernetes practitioners who wish to prepare for the CKS exam.
By the end of this training, participants will know how to secure Kubernetes environments and container-based applications throughout the different stages of an application's life cycle: build, deployment and runtime.
This instructor-led, live training in Rzeszow (online or onsite) 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 Rzeszow (online or onsite) is aimed at engineers who wish to secure a Kubernetes cluster beyond the default security settings.
By the end of this training, participants will be able to:
Understand the vulnerabilities that are exposed by a default Kubernetes installation.
Prevent unauthenticated access to the Kubernetes API, database, and other services.
Protect a Kubernetes cluster from accidental or malicious access.
Put together a comprehensive security policy and set of best practices.
The "Advanced Docker and Kubernetes" course is a comprehensive training covering the Kubernetes platform and its ecosystem. It is addressed to participants with various experiences, providing a full range of basic and advanced functions Kubernetes. Covers key concepts such as Containers, Labels, Controllers, Services, Secrets, Persistent Data Volumes, Namespaces, Quotas, Container Network Model, Service Discovery, Scaling, Load Balancing, Cluster Management, Installation Kubernetes, Cluster Securing, Access Control ,High Controller Availability, Monitoring and Logging, Application Auto-Scheduling, Advanced Scheduling, Microservices-Based Applications, Application Design Patterns, and Application Deployment on a Cluster Kubernetes.
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 organization.
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 instructor-led, live training in Rzeszow (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 containerized applications on Kubernetes.
By the end of this training, participants will be able to:
Install and configure Fedora CoreOS.
Set up 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 Rzeszow (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 Rzeszow (online or onsite) is aimed at DevOps engineers and developers who wish to use Java and Kubernetes (K8s) to create, build, test, debug and deploy high-performance and scalable applications.
By the end of this training, participants will be able to:
Set up the necessary development environment to build Java applications.
Understand the features and architecture of Kubernetes.
Learn about the key concepts and tools for DevOps.
Get a refresher on Java programming fundamentals.
Containerize Java microservices using Docker.
Build, scale, and deploy Java applications on Kubernetes.
This instructor-led, live training in Rzeszow (online or onsite) is aimed at 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.
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.
Kubernetes Persistence refers to the capability within Kubernetes to manage stateful data for containerized applications. In Kubernetes, this is primarily achieved through the use of Persistent Volumes (PVs) and Persistent Volume Claims (PVCs). Persistent Volumes are pieces of storage in the cluster that have been provisioned by an administrator or dynamically through Storage Classes. They provide a way for applications to persist data beyond the lifecycle of individual pods, ensuring data durability across pod restarts and deployments. This is crucial for stateful applications like databases that need to maintain data across updates and restart
This instructor-led, live training in Rzeszow (online or onsite) is aimed at DevOps engineers and developers who wish to deploy and manage OpenStack services on cloud infrastructures using Kubernetes.
By the end of this training, participants will be able to:
Deploy, configure, and manage MOS and its components.
Access OpenStack APIs.
Perform common OpenStack operations tasks (backup, restore, etc.).
This instructor-led, live training in Rzeszow (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.
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Testimonials (19)
he was patience and understood that we fall behind
Albertina - REGNOLOGY ROMANIA S.R.L.
Course - Deploying Kubernetes Applications with Helm
flexibility, openness and a large number of labs
Mateusz - Hostersi
Course - Kubernetes Persistence
Machine Translated
the technical preparation of teachers
Giorgio - Asystel-BDF S.p.A.
Course - Creating a Service Mesh with Istio and Kubernetes
How Interactive Reda would explain the information and get us to participate. He would also mention interesting facts along the way and share all the knowledge he has. Reda has excellent communication skills which makes online training really effective.
Janine - BMW SA
Course - Kubernetes Advanced
Interactive approach to conducting training.
Krzysztof Kupisz - Kredyt Inkaso S.A. Centrum Operacyjne w Lublinie
Knowledge and preparation of the trainer as well as responsiveness, willingness, and ability to adapt training to the group's needs. I recommend this trainer.
Orange
Course - Kubernetes from Basic to Advanced (4 days)
Machine Translated
Improving the same counter app again and again --- it really shows all the available features very well. I perceived the subsequent iterations as quite natural step-by-step improvement, so pretty close to the real-life problem-solving.
Michalina Kotwica - Centrum Innowacji ProLearning Michal Kolodziejczyk
Course - Docker and Kubernetes advanced
The training was more practical
Siphokazi Biyana - Vodacom SA
Course - Kubernetes on AWS
direct contact with the instructor
Kamil Frydryszek - Siec Badawcza Lukasiewicz - Instytut Logistyki i Magazynowania
Course - OKD for Administrators
Machine Translated
Learning about Kubernetes.
Felix Bautista - SGS GULF LIMITED ROHQ
Course - Kubernetes on Azure (AKS)
I liked the reactivity of Ahmed to each issue / question we raised and his ability to give clear answers to all of them, while providing further insight to other related issues we even may haven't thought of.
Jose Perez - Fraunhofer IOSB
Course - Kubernetes and Gitlab
Resolving common problems, presenting interesting applications
It gave a good grounding for Docker and Kubernetes.
Stephen Dowdeswell - Global Knowledge Networks UK
Course - Docker (introducing Kubernetes)
I mostly enjoyed the knowledge of the trainer.
- Inverso Gesellschaft fur innovative Versicherungssoftware mbH
Course - Docker, Kubernetes and OpenShift for Developers
Hands-on exercises to reinforce the concepts.
Josh Bjornson - Leonteq Securities AG
Course - Kubernetes from Basic to Advanced
There was a lot to lean, but it never felt rushed.
thomas gardner - National Oceanography Centre
Course - Docker, Kubernetes and OpenShift for Administrators
It is an in-deep Kubernetes training covering all important aspects to manage Kubernetes, be it in the cloud or on-premise, but the pace is gradual and well adjusted, so the training can be followed very well by students who have had no prior exposure to Kubernetes, as it builds up knowledge from the ground up.
Volker Kerkhoff
Course - Docker and Kubernetes: Building and Scaling a Containerized Application
I generally liked the trainer knowledge and enthusiasm.
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