Местные учебные курсы Kubernetes, организованные на курсах обучения, демонстрируют интерактивную дискуссию и практическую практику, как развертывать, управлять и масштабировать контейнеризованные приложения в кластерной среде Обучение Kubernetes доступно как «живое обучение на месте» или «дистанционное живое обучение» На месте живое обучение может проводиться локально в помещениях клиента в Russia или в корпоративных учебных центрах NobleProg Russia , Дистанционное обучение в реальном времени осуществляется с помощью интерактивного удаленного рабочего стола Учебные курсы Kubernetes охватывают основные и современные контейнерные сети, администрирование и развитие контейнеров, а также демонстрируют практические примеры использования в реальном мире, включая разработку микросервисов NobleProg Ваш местный провайдер обучения.
Machine Translated
Отзывы
The tutor is very interactive, responsive and knowledgeable.
Credit Suisse
Курсы: Docker and Kubernetes
The labs and the discussion.
Synchronoss Software Ireland Limited
Курсы: Docker and Kubernetes
Relaxed, easy going pace.
Synchronoss Software Ireland Limited
Курсы: Docker and Kubernetes
The exercise VMs were working quite well.
Philippe DEPRUGNEY - Synchronoss Software Ireland Limited
Курсы: Docker and Kubernetes
Resources preparation (VMs and such) and the ability to answer questions
Synchronoss Software Ireland Limited
Курсы: Docker and Kubernetes
Kamil's pleasant way backed by his knowledge on the subject matter was the best part of this course
Synchronoss Software Ireland Limited
Курсы: Docker and Kubernetes
The trainer was extremely approachable and helpful and was able to solve any issues that we encountered in the class. Even after he had finished all of the planned course material he still stayed on late to answer questions some people in the course had.
Synchronoss Software Ireland Limited
Курсы: Docker and Kubernetes
The hands on exercises
Synchronoss Software Ireland Limited
Курсы: Docker and Kubernetes
Kamil brought us all from Docker and Kubernetes novices to confident users (if not SMEs!) in just 3 days. He was always approachable and patient in answering my questions. A true gent.
Patrick Kennedy - Synchronoss Software Ireland Limited
Курсы: Docker and Kubernetes
Exercises, practical questions answered clearly
Mayeul Marguet - Synchronoss Software Ireland Limited
Курсы: Docker and Kubernetes
Good mix of practical exercises and theory, Kamil gave well focussed training tailored to our needs, even though the course content is very wide for 3 days.
Synchronoss Software Ireland Limited
Курсы: Docker and Kubernetes
The subject, and trainer knowledge
Thiqha Business Services
Курсы: Docker, Kubernetes and OpenShift for Developers
Что Брайан хорошо знает предмет и хорошо объясняет
Francisco Demetrio Quitral - IMED S.A
Курсы: Managing Kubernetes with Rancher
Machine Translated
что нам было показано, как команды kubectl были отражены в интерфейсе ранчера и сервисах AWS, что очень ясно дало понять, как взаимодействуют различные части.
IMED S.A
Курсы: Managing Kubernetes with Rancher
Machine Translated
The techical knowlegde of the trainer about the subject so he can answer most of the questions.
Synchronoss Software Ireland Limited
Курсы: Docker and Kubernetes
The exercises
Van Tonilin Ramos - Temic Automotive Philippines
Курсы: Docker and Kubernetes
All
Eduardo Darroca Jr - Temic Automotive Philippines
Курсы: Docker and Kubernetes
It never felt like the pace was high but we still managed to cover many topics in only three days. I liked that Adriano did not stop the lecture to have us do labs. The style of trying out commands in the lab environment while watching and listening to the lecture was good in my opinion. Adriano was very flexible to answer questions that came up without getting distracted too much from the current topic.
Bolagsverket
Курсы: Docker and Kubernetes
все
Mikael Larsson Österström - Bolagsverket
Курсы: Docker and Kubernetes
Machine Translated
The teacher has worked with the subject
Bolagsverket
Курсы: Docker and Kubernetes
The material in general. The trainer was very knowledgable.
MDA Systems Ltd.
Курсы: Kubernetes Advanced
Способ тренера объяснить предмет и кому сделать концепцию очень простой.
Faten AlDawish - TAMKEEN TECHNOLOGIES COMPANY
Курсы: Docker and Kubernetes: Building and Scaling a Containerized Application
Machine Translated
прояснение лабораторий и сомнений
venkata velpuri - Charter Communications INC
Курсы: Kubernetes from Basic to Advanced
Machine Translated
Практическое обучение.
Charter Communications INC
Курсы: Kubernetes from Basic to Advanced
Machine Translated
Не чувствовал никого скучающего во время тренировки.
Charter Communications INC
Курсы: Kubernetes from Basic to Advanced
Machine Translated
Fantastic delivery of the training, really enjoyable and all round good vibe throughout
Chris Brant - Hewlett Packard Enterprise
Курсы: Docker and Kubernetes
Мне понравились примеры, которые дополняли теорию на презентации.
Miłosz Gałązka - LPP S.A.
Курсы: OpenShift for Administrators
Machine Translated
We did small examples. I have seen a lot of huge config files and they always looked overwhelming. It was really nice to see small examples!
Marcus Nordberg - TriOptima AB
Курсы: Docker and Kubernetes
Kamil's attitude and knowledge. Very friendly, highly knowledgeable about the subject, great listener.
TriOptima AB
Курсы: Docker and Kubernetes
Kamil's expertise and patience while guiding me through some complex topics. His ability to spontaneously answer some difficult questions that I had about the material. I'd give him an A++.
Курсы: Docker and Kubernetes
the intro and the structure of the slides
Abraxas Informatik AG
Курсы: Managing Kubernetes with Rancher
Большое количество упражнений и настройки на практике.
Atos Poland Global Services spółka z ograniczoną odpowiedzialnością
Курсы: Docker and Kubernetes
Machine Translated
Deep expertise of the faculty
Курсы: Creating a Service Mesh with Istio and Kubernetes
Kamil knows a lot about Kubernetes, and gives the impression he really enjoys working with it. He was able to give sessions and tasks for us to do based off of our requests and suggestions. Troubleshooting was deliberately built in to some exercizes - that was really useful too. The lab environment worked great.
Donald MacPhee - Origo
Курсы: Docker and Kubernetes
Kamil's expertise and patience while guiding me through some complex topics. His ability to spontaneously answer some difficult questions that I had about the material. I'd give him an A++.
Курсы: Docker and Kubernetes
Deep expertise of the faculty
Курсы: Creating a Service Mesh with Istio and Kubernetes
Kubernetes Подкатегории
Kubernetes Содержание курса
Название курса
Продолжительность
Обзор
Название курса
Продолжительность
Обзор
21 часов
Обзор
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 companyworldwide 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 (onsite or remote) is aimed at System Administrators, Kubernetes User swho 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/
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 companyworldwide 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 (onsite or remote) is aimed at System Administrators, Kubernetes User swho 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/
21 часов
Обзор
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 (onsite or remote) 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 training (onsite or remote) 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/
14 часов
Обзор
Project Calico is a networking solution for containers and virtual machines. Originally created for OpenStack to simplify data transmission across the network, today it supports Kubernetes, OpenShift, Docker EE, OpenStack, bare metal services, and others. Calico uses IP routing instead of switching, virtual networks, overlay networks, and other complicated workarounds to enable efficient and secure networking.
This instructor-led, live training (onsite or remote) is aimed at engineers who wish to network Kubernetes clusters using a simplified IP routing based approach.
By the end of this training, participants will be able to:
- Install and configure Calico.
- Use Calico to create a container networking solution for Kubernetes clusters.
- Understand how Calico differs from traditional overlay networks.
- Understand how Calico combines internet routing protocols with consensus-based data stores.
- Use Calico to provide a secure network policy for Kubernetes.
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 Project Calico, please visit: https://www.projectcalico.org/
This instructor-led, live training (onsite or remote) is aimed at engineers who wish to network Kubernetes clusters using a simplified IP routing based approach.
By the end of this training, participants will be able to:
- Install and configure Calico.
- Use Calico to create a container networking solution for Kubernetes clusters.
- Understand how Calico differs from traditional overlay networks.
- Understand how Calico combines internet routing protocols with consensus-based data stores.
- Use Calico to provide a secure network policy for Kubernetes.
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 Project Calico, please visit: https://www.projectcalico.org/
28 часов
Обзор
Kubeflow is a framework for running Machine Learning workloads on Kubernetes. TensorFlow is one of the most popular machine learning libraries. Kubernetes is an orchestration platform for managing containerized applications. OpenShift is an cloud application development platform that uses Docker containers, orchestrated and managed by Kubernetes, on a foundation of Red Hat Enterprise Linux.
This instructor-led, live training (onsite or remote) is aimed at engineers who wish to deploy Machine Learning workloads to an OpenShift on-premise or hybrid cloud.
- By the end of this training, participants will be able to:
- Install and configure Kubernetes and Kubeflow on an OpenShift cluster.
- Use OpenShift to simplify the work of initializing a Kubernetes cluster.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Call public cloud services (e.g., AWS services) from within OpenShift to extend an ML application.
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 (onsite or remote) is aimed at engineers who wish to deploy Machine Learning workloads to an OpenShift on-premise or hybrid cloud.
- By the end of this training, participants will be able to:
- Install and configure Kubernetes and Kubeflow on an OpenShift cluster.
- Use OpenShift to simplify the work of initializing a Kubernetes cluster.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Call public cloud services (e.g., AWS services) from within OpenShift to extend an ML application.
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.
28 часов
Обзор
Kubeflow is a toolkit for making Machine Learning (ML) on Kubernetes easy, portable and scalable.
This instructor-led, live training (onsite or remote) is aimed at developers and data scientists who wish to build, deploy, and manage machine learning workflows on Kubernetes.
By the end of this training, participants will be able to:
- Install and configure Kubeflow on premise and in the cloud.
- Build, deploy, and manage ML workflows based on Docker containers and Kubernetes.
- Run entire machine learning pipelines on diverse architectures and cloud environments.
- Using Kubeflow to spawn and manage Jupyter notebooks.
- Build ML training, hyperparameter tuning, and serving workloads across multiple platforms.
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 Kubeflow, please visit: https://github.com/kubeflow/kubeflow
This instructor-led, live training (onsite or remote) is aimed at developers and data scientists who wish to build, deploy, and manage machine learning workflows on Kubernetes.
By the end of this training, participants will be able to:
- Install and configure Kubeflow on premise and in the cloud.
- Build, deploy, and manage ML workflows based on Docker containers and Kubernetes.
- Run entire machine learning pipelines on diverse architectures and cloud environments.
- Using Kubeflow to spawn and manage Jupyter notebooks.
- Build ML training, hyperparameter tuning, and serving workloads across multiple platforms.
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 Kubeflow, please visit: https://github.com/kubeflow/kubeflow
14 часов
Обзор
Docker - это платформа для разработки, доставки и запуска приложений внутри контейнеров Kubernetes делает еще один шаг вперед, предоставляя инструменты, необходимые для развертывания и управления контейнерными приложениями по шкале в кластерной среде В этом обученном обучении участники узнают, как развернуть коллекцию образцов серверов внутри контейнеров, затем автоматизировать, масштабировать и управлять своими контейнеризованными серверами в кластере Kubernetes Обучение проходит по более продвинутым темам, проходящим через процесс обеспечения безопасности, организации сетей и мониторинга кластера Kubernetes К концу этого тренинга участники смогут: Настройка и запуск контейнера Docker Развертывание контейнеризованных баз данных и серверов Настройте кластер Докер и Кубернете Используйте Kubernetes для развертывания и управления различными средами в одном кластере Защищать, масштабировать и контролировать кластер Kubernetes Аудитория Разработчики программного обеспечения архитекторы Инженеры по развертыванию Формат курса Часть лекций, обсуждение частей, упражнения и тяжелая практика handson Заметки Три образца изображений Docker используются в качестве демонстраций в этом обучении: Nginx, MongoDB и Tomcat Чтобы запросить различные изображения или любую другую настройку для этого обучения, свяжитесь с нами, чтобы договориться ,.
14 часов
Обзор
This instructor-led, live training (onsite or remote) 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.
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.
14 часов
Обзор
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.
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.
14 часов
Обзор
Azure Kubernetes Service (AKS) is a hosted Kubernetes service that simplifies the deployment and management of a Kubernetes cluster in Azure.
In this instructor-led, live training, 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
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.
In this instructor-led, live training, 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
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.
14 часов
Обзор
Gitlab is a DevOps lifecycle platform that provides CI/CD features for project planning and management. Kubernetes is an orchestration system for automating application deployment. Using Gitlab and Kubernetes, users can automate builds and deployment to containerized cloud environments.
This instructor-led, live training (onsite or remote) 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.
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 (onsite or remote) 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.
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.
21 часов
Обзор
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.
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.
14 часов
Обзор
Kubernetes can be run on a variety of platforms, from a local server installation, to a virtual or bare-metal server in the cloud, to a SaaS based cloud service. In all cases, the Kubernetes ecosystem includes tools for installing, managing, and testing Kubernetes clusters.
This instructor-led, live training (onsite or remote) 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.
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 (onsite or remote) 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.
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.
14 часов
Обзор
MicroK8s is a CI/CD tool based on Kubernetes for tracking deployments. MicroK8s provides offline development, prototyping, and testing.
This instructor-led, live training (onsite or remote) is aimed at DevOps engineers who wish to use MicroK8s as a reliable k8s for CI/CD operations.
By the end of this training, participants will be able to:
- Build a Kubernetes system from scratch.
- Create and deploy containers with MicroK8s.
- Automate CI/CD operations in MicroK8s.
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 (onsite or remote) is aimed at DevOps engineers who wish to use MicroK8s as a reliable k8s for CI/CD operations.
By the end of this training, participants will be able to:
- Build a Kubernetes system from scratch.
- Create and deploy containers with MicroK8s.
- Automate CI/CD operations in MicroK8s.
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.
21 часов
Обзор
OpenShift - это платформа приложений для платформы Docker и Kubernetes на предприятии Он поддерживается Red Hat В этом обученном, живом обучении участники узнают, как устанавливать, настраивать и управлять OpenShift Platform Container К концу этого тренинга участники смогут: Создание, настройка, управление и устранение неполадок кластеров OpenShift Безопасный контейнер платформы OpenShift Мониторинг и сбор показателей Управление хранилищем Быстрое развертывание приложений onpremise, в общедоступном облаке или в размещенном облаке Аудитория Системные администраторы архитекторы Разработчики Формат курса Часть лекций, обсуждение частей, упражнения и тяжелая практика handson ,.
21 часов
Обзор
OpenShift Container Platform - платформа для контейнерных приложений для развертывания Docker и Kubernetes на предприятии Он поддерживается Red Hat В этом обученном, живом обучении участники узнают, как создавать, обновлять и поддерживать приложения с использованием платформы OpenShift Container Platform К концу этого тренинга участники смогут: Автоматизация части конвейера доставки программного обеспечения Внедрение пользовательских историй для существующего приложения Java EE Разверните приложение в экземпляр OpenShift Примените принципы философии DevOps и обеспечивайте непрерывную доставку приложения Аудитория Разработчики Формат курса Часть лекций, обсуждение частей, упражнения и тяжелая практика handson ,.
21 часов
Обзор
PouchContainer is a lightweight container engine based on the OCI (Open Container Initiative) standard.
This instructor-led, live training (onsite or remote) is aimed at developers who wish to build, ship, and run containerized applications using PouchContainer.
By the end of this training, participants will be able to:
- Install and configure PouchContainer.
- Set up and run a PouchContainer container.
- Use PouchContainer to deploy and manage containerized applications such as servers and web apps.
- Use the Dragonfly P2P-base distribution system to distribute container images at scale.
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 PouchContainer, please visit: https://github.com/alibaba/pouch
This instructor-led, live training (onsite or remote) is aimed at developers who wish to build, ship, and run containerized applications using PouchContainer.
By the end of this training, participants will be able to:
- Install and configure PouchContainer.
- Set up and run a PouchContainer container.
- Use PouchContainer to deploy and manage containerized applications such as servers and web apps.
- Use the Dragonfly P2P-base distribution system to distribute container images at scale.
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 PouchContainer, please visit: https://github.com/alibaba/pouch
7 часов
Обзор
This instructor-led, live training (onsite or remote) 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
- Set up alerts that are precise and insightful
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.
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
- Set up alerts that are precise and insightful
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.
28 часов
Обзор
Kubeflow is a framework for running Machine Learning workloads on Kubernetes. TensorFlow is one of the most popular machine learning libraries. Kubernetes is an orchestration platform for managing containerized applications.
This instructor-led, live training (onsite or remote) is aimed at engineers who wish to deploy Machine Learning workloads to IBM Cloud Kubernetes Service (IKS).
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on IBM Cloud Kubernetes Service (IKS).
- Use IKS to simplify the work of initializing a Kubernetes cluster on IBM Cloud.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other IBM Cloud services to extend an ML application.
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 (onsite or remote) is aimed at engineers who wish to deploy Machine Learning workloads to IBM Cloud Kubernetes Service (IKS).
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on IBM Cloud Kubernetes Service (IKS).
- Use IKS to simplify the work of initializing a Kubernetes cluster on IBM Cloud.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other IBM Cloud services to extend an ML application.
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.
28 часов
Обзор
Kubeflow is a framework for running Machine Learning workloads on Kubernetes. TensorFlow is one of the most popular machine learning libraries. Kubernetes is an orchestration platform for managing containerized applications.
This instructor-led, live training (onsite or remote) is aimed at engineers who wish to deploy Machine Learning workloads to Azure cloud.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on Azure.
- Use Azure Kubernetes Service (AKS) to simplify the work of initializing a Kubernetes cluster on Azure.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other AWS managed services to extend an ML application.
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 (onsite or remote) is aimed at engineers who wish to deploy Machine Learning workloads to Azure cloud.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on Azure.
- Use Azure Kubernetes Service (AKS) to simplify the work of initializing a Kubernetes cluster on Azure.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other AWS managed services to extend an ML application.
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.
28 часов
Обзор
Kubeflow is a framework for running Machine Learning workloads on Kubernetes. TensorFlow is one of the most popular machine learning libraries. Kubernetes is an orchestration platform for managing containerized applications.
This instructor-led, live training (onsite or remote) is aimed at engineers who wish to deploy Machine Learning workloads to Google Cloud Platform (GCP).
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on GCP and GKE.
- Use GKE (Kubernetes Kubernetes Engine) to simplify the work of initializing a Kubernetes cluster on GCP.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other GCP services to extend an ML application.
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 (onsite or remote) is aimed at engineers who wish to deploy Machine Learning workloads to Google Cloud Platform (GCP).
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on GCP and GKE.
- Use GKE (Kubernetes Kubernetes Engine) to simplify the work of initializing a Kubernetes cluster on GCP.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other GCP services to extend an ML application.
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.
21 часов
Обзор
This Docker and Kubernetes training course is designed to provide attendees with a comprehensive foundation of Docker and Kubernetes technologies. The entire core features of Kubernetes is covered including, Pods, Labels, Volumes, Replication Controllers, Services and more. The course takes attendees from installation to management and usage through a combination of lecture and hands-on lab exercises where they will gain experience configuring and managing Kubernetes objects. In addition, this course will give attendees a solid understanding of Kubernetes including advanced features and security to run safety a Kubernetes cluster in production.
This course is for people and teams that want to learn Kubernetes foundation and containers orchestration requirements to build services that are secure, robust, highly available, resilient and self-healing:
· Developers
· Operations
· DevOps
· QA Engineers
· IT Project Managers
This course is for people and teams that want to learn Kubernetes foundation and containers orchestration requirements to build services that are secure, robust, highly available, resilient and self-healing:
· Developers
· Operations
· DevOps
· QA Engineers
· IT Project Managers
14 часов
Обзор
This instructor-led, live training (onsite or remote) is aimed at engineers who wish to set up, deploy and manage a non-Docker container runtime within Kubernetes.
By the end of this training, participants will be able to:
- Install and configure the CRI plugin API for Kubernetes.
- Understand the Open Container Initiative (OCI) standards that insure interoperability among different runtimes.
- Run different (Docker and non-Docker) runtimes from within Kubernetes.
- Implement lightweight virtualization and other isolation techniques to increase security.
Format of the course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
By the end of this training, participants will be able to:
- Install and configure the CRI plugin API for Kubernetes.
- Understand the Open Container Initiative (OCI) standards that insure interoperability among different runtimes.
- Run different (Docker and non-Docker) runtimes from within Kubernetes.
- Implement lightweight virtualization and other isolation techniques to increase security.
Format of the course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
14 часов
Обзор
This instructor-led, live training (onsite or remote) is aimed at engineers wishing to run containerized applications using the CRI-O container runtime.
By the end of this training, participants will be able to:
- Install and configure the CRI-O container runtime.
- Pull images from a variety of OCI-compliant registries.
- Run, test and manage containerized applications using CRI-O.
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 CRI-O, please visit: http://cri-o.io/.
By the end of this training, participants will be able to:
- Install and configure the CRI-O container runtime.
- Pull images from a variety of OCI-compliant registries.
- Run, test and manage containerized applications using CRI-O.
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 CRI-O, please visit: http://cri-o.io/.
21 часов
Обзор
There are a number of options for deploying Docker and Kubernetes on AWS, including Amazon Elastic Container Service, Amazon ECS for Kubernetes, AWS Fargate, and Amazon EC2.
This instructor-led, live training (onsite or remote) 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 tools 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.
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 (onsite or remote) 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 tools 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.
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.
35 часов
Обзор
OpenShift - это платформа приложений для платформы Docker и Kubernetes Он обеспечивает предопределенные среды приложений и помогает реализовать ключевые принципы DevOps, такие как сокращение времени выхода на рынок, инфраструктура как код, непрерывная интеграция (CI) и непрерывная доставка (CD) OpenShift поддерживается Red Hat В этом обученном, живом обучении участники узнают, как управлять контейнерами, работающими на Docker, Kubernetes и Red Hat OpenShift Container Platform К концу этого тренинга участники смогут: Создание, настройка, управление и устранение неполадок кластеров OpenShift Масштабирование приложений с использованием Kubernetes Безопасный контейнер платформы OpenShift Мониторинг и сбор показателей Управление хранилищем Быстрое развертывание приложений onpremise, в общедоступном облаке или в размещенном облаке Аудитория Системные администраторы архитекторы Разработчики Формат курса Часть лекций, обсуждение частей, упражнения и тяжелая практика handson ,.
21 часов
Обзор
Docker - это платформа с открытым исходным кодом для автоматизации процесса создания, доставки и запуска приложений внутри контейнеров Kubernetes делает еще один шаг вперед, предоставляя инструменты, необходимые для развертывания и управления контейнерными приложениями по шкале в кластерной среде В этом обученном обучении участники узнают, как создавать контейнеры Docker и управлять ими, а затем развертывать образец приложения внутри контейнера Участники также узнают, как автоматизировать, масштабировать и управлять своими контейнерными приложениями в кластере Kubernetes Наконец, обучение переходит к более продвинутым темам, ходящим участникам через процесс обеспечения, масштабирования и мониторинга кластера Кубернетес К концу этого тренинга участники смогут: Настройка и запуск контейнера Docker Развертывание контейнеризованного сервера и веб-приложения Создание и управление изображениями Docker Настройте кластер Докер и Кубернете Используйте Kubernetes для развертывания и управления кластерным веб-приложением Защищать, масштабировать и контролировать кластер Kubernetes Аудитория Разработчики программного обеспечения архитекторы Инженеры по развертыванию Формат курса Часть лекций, обсуждение частей, упражнения и тяжелая практика handson Заметка: Apache Tomcat и приложение Java EE будут использоваться в качестве наших демонстрационных серверов и приложений для контейнеризации Однако * они могут быть изменены * Если вы хотите увидеть конкретное приложение или связанный с ним инструмент или технику, описанные в этом обучении, свяжитесь с нами, чтобы договориться ,.
14 часов
Обзор
Цель этого практического курса - предоставить все инструменты, которые касаются практических аспектов Докера и Кубернетов, чтобы участники могли рассчитывать на необходимые навыки для правильного управления программой ,.
35 часов
Обзор
Docker - это платформа с открытым исходным кодом для автоматизации процесса создания, доставки и запуска приложений внутри контейнеров Kubernetes делает еще один шаг вперед, предоставляя инструменты, необходимые для развертывания и управления контейнерными приложениями по шкале в кластерной среде Платформа OpenShift Container Platform (ранее OpenShift Enterprise) объединяет Docker и Kubernetes в управляемую платформу или PaaS (платформа как услугу) для дальнейшего упрощения и упрощения развертывания Docker и Kubernetes Он обеспечивает предопределенные среды приложений и помогает реализовать ключевые принципы DevOps, такие как сокращение времени выхода на рынок, инфраструктура как код, непрерывная интеграция (CI) и непрерывная доставка (CD) OpenShift Container Platform поддерживается Red Hat В этом обученном, живом обучении участники узнают, как управлять контейнерами, работающими на Docker, Kubernetes и Red Hat OpenShift Container Platform (OpenShift) К концу этого тренинга участники смогут: Создание, настройка, управление и устранение неполадок кластеров OpenShift Масштабирование приложений с использованием Kubernetes Безопасный OpenShift Мониторинг и сбор показателей Управление хранилищем Быстрое развертывание приложений onpremise, в общедоступном облаке или в размещенном облаке Аудитория Системные администраторы архитекторы Разработчики Формат курса Часть лекций, обсуждение частей, упражнения и тяжелая практика handson ,.
28 часов
Обзор
Kubeflow is a framework for running Machine Learning workloads on Kubernetes. TensorFlow is a machine learning library and Kubernetes is an orchestration platform for managing containerized applications.
This instructor-led, live training (onsite or remote) is aimed at engineers who wish to deploy Machine Learning workloads to an AWS EC2 server.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on AWS.
- Use EKS (Elastic Kubernetes Service) to simplify the work of initializing a Kubernetes cluster on AWS.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other AWS managed services to extend an ML application.
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 (onsite or remote) is aimed at engineers who wish to deploy Machine Learning workloads to an AWS EC2 server.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on AWS.
- Use EKS (Elastic Kubernetes Service) to simplify the work of initializing a Kubernetes cluster on AWS.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other AWS managed services to extend an ML application.
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.
21 часов
Обзор
GitOps is Continuous Deployment of cloud-native applications based on Git and Kubernetes.
This instructor-led, live training (onsite or remote) 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.
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 (onsite or remote) 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.
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.
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выходные Kubernetes курсы, курсы Kubernetes выходного дня, вечерние Kubernetes курсы, Kubernetes технические учебные курсы, Kubernetes буткемп, Kubernetes буткэмп, Kubernetes курсы с инструктором, Kubernetes тренинг с инструктором, выходной Kubernetes тренинг, тренинг Kubernetes выходного дня, вечерние Kubernetes курсы, Kubernetes коачинг, Kubernetes тренерство, Kubernetes тренинг, Kubernetes инструктор, Kubernetes тренер, Kubernetes коач, Kubernetes курсы, Kubernetes занятия, Kubernetes локальные, Kubernetes частные занятия, Kubernetes частные курсы, Kubernetes индивидуальный тренинг, Kubernetes индивидуальные занятия
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