Местные обучаемые курсы Cloud Computing, продемонстрированные на практике, демонстрируют практическую практику практических навыков использования облачных вычислений и способы использования облачных вычислений Обучение облачным вычислениям 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 NobleProg Ваш местный провайдер обучения.
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Отзывы
Knowledge and experience of the trainer (sic!) Materials The way of conducting the zajec-optimal pace, understandable message, luzna atmosphere connected with a very high level meritorika, practical examples, exercise in training (hands-on)
Miroslaw Matyla - Orange Szkolenia Sp. z o.o.
Курсы: OpenStack Administration - Basic + Intermediate
Exercises
Orange Szkolenia Sp. z o.o.
Курсы: OpenStack Administration - Basic + Intermediate
The trainer's knowledge was impressive.
Piotr Masłowski - ING Bank Śląski S.A.
Курсы: Hyperledger Fabric for Beginners
Analysis of the code and shortcomings in Fabric.
ING Bank Śląski S.A.
Курсы: Hyperledger Fabric for Beginners
Very good knowledge of the subject
Florian Lavoillotte - Orange
Курсы: Terraform for Managing Cloud Infrastructure
That the trainer was able to adapt to specific questions/situations
Inforit BV
Курсы: Kubernetes on Azure (AKS)
That she asked for feedback everyday to improve on the next day's lectures
Bacher Systems EDV GmbH
Курсы: Terraform Fundamentals for Beginners
That it was all new technology and offerings to myself. After being shown how quick and easy it is to set up certain services in AWS, I feel I could get a real benefit out of it for quick project and proposal prototyping.
MDA Systems Ltd.
Курсы: AWS Developer Associate
Fernando knew the products and how to use them. His willingness and friendliness to assist in the hands-on lab was great.
MDA Systems Ltd.
Курсы: AWS Developer Associate
There was a good general pass over what seemed like the most important parts of AWS. The instructor was open to questions and addressed areas of AWS that were not part of the outline based on our questions.
MDA Systems Ltd.
Курсы: AWS Developer Associate
I liked getting to understand the breadth of the services offered by AWS and gaining a better understanding of their pricing model for each of those services.
William Crowdis - MDA Systems Ltd.
Курсы: AWS Developer Associate
Thought it was a good overview of a lot of different services. Liked the detail on IAS.
MDA Systems Ltd.
Курсы: AWS Developer Associate
Explaining why it's financially viable to do these things
MDA Systems Ltd.
Курсы: AWS Developer Associate
It provided context for the things we do in AWS.
MDA Systems Ltd.
Курсы: AWS Developer Associate
Everything. I had played around with AWS before but just on my own personal time. The training really brought everything together, with real world examples and how many individual pieces can be bolted together for a applicable solution.
Matt Sartain - MDA Systems Ltd.
Курсы: AWS Developer Associate
Hands-on labs
MDA Systems Ltd.
Курсы: AWS Developer Associate
Практические упражнения
王 朝晖 - 是德科技
Курсы: OpenStack Administration - Basic + Intermediate
Machine Translated
Спокойствие и самообладание лектора и огромные знания, переданные в простой и простой форме, подкрепленные практическими примерами. Один из лучших тренингов, в которых я принимал участие.
Tomasz Czajka - Unit4 Polska sp. z o.o.
Курсы: Introduction to Azure
Machine Translated
He knew what he was talking about
KnowledgePool
Курсы: Terraform for Managing Cloud Infrastructure
Reda took onboard suggestions for changes to approaches and as a result being able to walk through the examples with explanations as to what was happening/expected/required etc was very beneficial and helped my understanding, thank you Reda.
KnowledgePool
Курсы: Terraform for Managing Cloud Infrastructure
The exercises which we did during Friday morning, they were presented at a time when concentration was peak, with plenty of scope for guidance when required.
Roni Colling - KnowledgePool
Курсы: Terraform for Managing Cloud Infrastructure
very knowledgeable
Tony Edogiawerie - KnowledgePool
Курсы: Terraform for Managing Cloud Infrastructure
The trainer was knowledgeable in many related technical areas and displayed a real passion for the subject being taught
KnowledgePool
Курсы: Terraform for Managing Cloud Infrastructure
It was fast paced, but that keeps us on our toes, I requested the material to be sent to me, and it has been, so I am now able to review this at a more measured pace, to fully digest the content
Rupert Hirst - KnowledgePool
Курсы: Terraform for Managing Cloud Infrastructure
Mix of lectures and practical exercises
KnowledgePool
Курсы: Terraform for Managing Cloud Infrastructure
Знания инструктора удивительно, а также ясность в объяснениях.
CARGLASS, S.L.
Курсы: AWS Architect Certification
Machine Translated
Большие знания тренера, приверженность, супер поток!
Fujitsu Technology Solutions Sp. z o.o.
Курсы: Hyperledger Fabric for Beginners
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Знания тренера, он был в состоянии ответить на каждый вопрос.
Fujitsu Technology Solutions Sp. z o.o.
Курсы: Hyperledger Fabric for Beginners
Machine Translated
Training is good but require more time to practice test
Manu Megaravalli - HSBC Service Delivery (Polska) Sp. z o o.
Курсы: AWS Architect Certification
I really liked the training. It was very informative and clear explanation of all topics during whole training
Venkatesh Varanasi - HSBC Service Delivery (Polska) Sp. z o o.
Курсы: AWS Architect Certification
Since I am from network security the tropic interested me are network configuration and security management .As mentioned earlier 16 hours is not enough to cover all the topics , but the training is planned in such a way to provide an overview of how the cloud works .
Sanjith Cherian - HSBC Service Delivery (Polska) Sp. z o o.
Курсы: AWS Architect Certification
Много знаний тренера. Платформа с виртуальными машинами работала удивительно хорошо.
Fujitsu Technology Solutions Sp. z o.o.
Курсы: Hyperledger Fabric for Beginners
Machine Translated
He had a very good manner,
Premier Partnership
Курсы: IoT Fundamentals and Frontiers : For Managers, CXO, VP, Investors and Entrepreneurs
To get a better understanding about OpenStack.
Jan Gustafsson - Polystar OSIX
Курсы: OpenStack Architecture and Troubleshooting
It was very easy communication during all the course, got answers and help in very pedagogical manner. The trainer is very experienced, I recommend him anyone who is interested in getting good knowledge in this very complicated area :-)
Polystar OSIX
Курсы: OpenStack Architecture and Troubleshooting
The broad perspective of Openstack, no chance to dive in to deep to be able to keep schedule, more to where to get information from.
Jörgen Selegran - Polystar OSIX
Курсы: OpenStack Architecture and Troubleshooting
A good mix of hands on exercises and lectures!
Polystar OSIX
Курсы: OpenStack Architecture and Troubleshooting
The flexibility to answer questions. Good pdf, good examples
Conny Vigström - Polystar OSIX
Курсы: OpenStack Architecture and Troubleshooting
Damian, is very skilled, I'm very pleased with everything, no complains, best training session I've participated in for a long time… It's very difficult to have a training course like this, totally remote, you did a great job, It went very well, there were no issues.
Peter Erlandsson - Polystar OSIX
Курсы: OpenStack Architecture and Troubleshooting
The virtual desktop in a browser feature was kind of neat.
Mikael Karlsson - Polystar OSIX
Курсы: OpenStack Architecture and Troubleshooting
The network parts.
Polystar OSIX
Курсы: OpenStack Architecture and Troubleshooting
Despite the 2 days, trainer has performed well. I personally thanks to him.
Baris Aydogmusoglu - HSBC Service Delivery (Polska) Sp. z o o.
Курсы: AWS Architect Certification
showing the different features of AWS and help the audience in case something doesn't work properly.
Issam IEBOUBEN - HSBC Service Delivery (Polska) Sp. z o o.
Курсы: AWS Architect Certification
Эффективная управляемость, легкая связь с тренером, конкретные ответы.
HUAWEI Polska Sp. z o.o.
Курсы: OpenStack Administration
Machine Translated
The varied topics
Daniel Lindh - Tele 2 Sverige AB
Курсы: OpenStack for Telecom
I like that we before the training had some meetings to discuss what parts we should focus on, and what is interesting for us at Tele2.
Tele 2 Sverige AB
Курсы: OpenStack for Telecom
The paste, all the information I got.
Tele 2 Sverige AB
Курсы: OpenStack for Telecom
Playing around in a non production environment.
Tele 2 Sverige AB
Курсы: OpenStack for Telecom
Cloud Computing Содержание курса
Название курса
Продолжительность
Обзор
Название курса
Продолжительность
Обзор
14 часов
Обзор
AWS Lambda is a compute service that allows developers to write and run code without having to spin up containers and virtual machines, maintain storage, or procure the resources for running the code at scale.
This instructor-led, live training (online or onsite) is aimed at developers who wish to integrate AWS Lambda functions with services such as API Gateway, Kinesis Streams, etc. The training also demonstrates how to use the browser-based AWS Cloud9 IDE to develop software collaboratively.
By the end of this training, participants will be able to:
- Collaboratively develop applications and services using AWS Cloud9 IDE.
- Integrate AWS Lambda functions with other AWS services.
- Create and manage APIs.
- Set up an AWS Lambda function to read and process real-time streaming data.
- Create and manage a continuous integration pipeline for building, testing and deploying a AWS Lambda 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 (online or onsite) is aimed at developers who wish to integrate AWS Lambda functions with services such as API Gateway, Kinesis Streams, etc. The training also demonstrates how to use the browser-based AWS Cloud9 IDE to develop software collaboratively.
By the end of this training, participants will be able to:
- Collaboratively develop applications and services using AWS Cloud9 IDE.
- Integrate AWS Lambda functions with other AWS services.
- Create and manage APIs.
- Set up an AWS Lambda function to read and process real-time streaming data.
- Create and manage a continuous integration pipeline for building, testing and deploying a AWS Lambda 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.
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
OpenStack is an open source cloud computing platform. Using OpenStack, users can manage public and private clouds while running Docker containers in cloud infrastructures.
This instructor-led, live training (online or onsite) is aimed at cloud engineers who wish to use OpenStack and Docker to build, scale, and run containers in cloud infrastructures.
By the end of this training, participants will be able to:
- Build an application and containerize it from scratch.
- Improve the deployment of cloud infrastructures.
- Create a containerized OpenStack solution.
- Perform lifecycle management for cloud infrastructures.
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 (online or onsite) is aimed at cloud engineers who wish to use OpenStack and Docker to build, scale, and run containers in cloud infrastructures.
By the end of this training, participants will be able to:
- Build an application and containerize it from scratch.
- Improve the deployment of cloud infrastructures.
- Create a containerized OpenStack solution.
- Perform lifecycle management for cloud infrastructures.
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
Курс посвящен ИТ-инженерам и архитекторам, которые ищут решение для размещения частного или открытого облака IaaS (инфраструктура как служба) Цель курса: получение базовых знаний по дизайну, установке и администрированию OpenStack, подготовка к экзамену EX210 (сертифицированный системный администратор Red Hat в Red Hat OpenStack), автоматическую и ручную установку и настройку кластера OpenStack ,.
7 часов
Обзор
Nextcloud является открытым исходным кодом cloudbased файлового хостинга решения направлен на предприятиях , которые хотят иметь полный контроль над своими данными Его природа с открытым исходным кодом предоставляет предприятиям возможность интегрировать индивидуальные решения в Nextcloud на основе их конкретных потребностей В этом обученном, живом обучении участники изучат основы Nextcloud, когда они пройдут настройку собственного сервера Nextcloud К концу этого тренинга участники смогут: Установка и настройка Nextcloud Выполнение задач администрирования Nextcloud и оптимизации Интеграция решений Thirdparty с Nextcloud для удовлетворения потребностей своей организации Аудитория Системные администраторы Разработчики Формат курса Часть лекций, обсуждение частей, упражнения и тяжелая практика handson Заметка Чтобы запросить индивидуальную подготовку для этого курса, пожалуйста, свяжитесь с нами, чтобы договориться ,.
21 часов
Обзор
Multicloud (multicloud) Computing - это использование облачных сервисов от нескольких поставщиков, например, с использованием служб инфраструктуры (Iaas) от разных поставщиков одновременно через единую консоль управления Morpheus - это платформа управления облачными приложениями для управления приложениями через несколько облаков, а также для организации самих облачных ресурсов В этом обученном, живом обучении участники научатся настраивать, настраивать и управлять Morpheus К концу этого тренинга участники смогут: Установите и настройте Morpheus Предоставление облачных ресурсов в различных инфраструктурах Организовать и управлять облаками, включая ведение журнала, мониторинг и резервное копирование Перенос приложений с onpremise на частные или публичные облака Интегрируйте Morpheus с инструментами третьих сторон, такими как Ansible, Chef, Consul и другие Аудитория Администраторы Разработчики Инженеры DevOps Формат курса Часть лекций, обсуждение частей, упражнения и тяжелая практика handson Заметка Чтобы запросить индивидуальную подготовку для этого курса, пожалуйста, свяжитесь с нами, чтобы договориться ,.
14 часов
Обзор
MLOps (Machine Learning Operations) is the practice of integrating data science and operations to help manage the ML lifecycle. MLOps provides the ability to automate the reproduction of machine learning model development and training.
This instructor-led, live training (online or onsite) is aimed at data scientists who wish to use Azure Machine Learning and Azure DevOps to facilitate MLOps practices.
By the end of this training, participants will be able to:
- Build reproducible workflows and machine learning models.
- Manage the machine learning lifecycle.
- Track and report model version history, assets, and more.
- Deploy production ready machine learning models anywhere.
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 (online or onsite) is aimed at data scientists who wish to use Azure Machine Learning and Azure DevOps to facilitate MLOps practices.
By the end of this training, participants will be able to:
- Build reproducible workflows and machine learning models.
- Manage the machine learning lifecycle.
- Track and report model version history, assets, and more.
- Deploy production ready machine learning models anywhere.
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
MinIO — облачный сервер хранения данных для хранения объектов и неструктурированных данных. С помощью MinIO пользователи могут создавать легкие и масштабируемые инфраструктуры с высокой производительностью.
Это обучение под руководством инструктора (на месте или удаленное) предназначено для облачных инженеров, которые хотят хранить объекты и неструктурированные данные с помощью MinIO.
К концу обучения участники смогут:
- Предоставьте альтернативу командам Unix с клиентом MinIO.
- Используйте MinIO для создания высокопроизводительных инфраструктур для машинного обучения, аналитики и многое другое.
- Развертывание MinIO на Kubernetes для организованного развертывания в масштабе.
Формат курса
- Интерактивная лекция и дискуссия.
- Много упражнений и практики.
- Практическая реализация в условиях живой лаборатории.
Параметры настройки курса
- Чтобы запросить индивидуальное обучение для этого курса, пожалуйста, свяжитесь с нами, чтобы организовать.
Это обучение под руководством инструктора (на месте или удаленное) предназначено для облачных инженеров, которые хотят хранить объекты и неструктурированные данные с помощью MinIO.
К концу обучения участники смогут:
- Предоставьте альтернативу командам Unix с клиентом MinIO.
- Используйте MinIO для создания высокопроизводительных инфраструктур для машинного обучения, аналитики и многое другое.
- Развертывание MinIO на Kubernetes для организованного развертывания в масштабе.
Формат курса
- Интерактивная лекция и дискуссия.
- Много упражнений и практики.
- Практическая реализация в условиях живой лаборатории.
Параметры настройки курса
- Чтобы запросить индивидуальное обучение для этого курса, пожалуйста, свяжитесь с нами, чтобы организовать.
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
OpenMP (Open Multi-Processing) - это API для многопроцессорного программирования с общей памятью. С OpenMP программисты могут разрабатывать параллельные приложения для платформ от настольных компьютеров до систем с общей памятью.
Это интерактивное обучение под руководством инструктора (локальное или дистанционное) предназначено для разработчиков программного обеспечения, которые хотят разрабатывать параллельные приложения с использованием OpenMP.
К концу этого тренинга участники смогут:
- Понимать и использовать параллельное программирование с Fortran в OpenMP.
- Вычислять фракталы параллельно, чтобы отобразить несколько пикселей и символов.
- Внедрить векторное программирование с помощью SIMD-расширений для систем HPC.
- Добавьте параллельные блоки для указания параллелизма разделяемой памяти.
Формат курса
- Интерактивная лекция и обсуждение.
- Много упражнений и практики.
- Практическая реализация в среде живых лабораторий.
Параметры настройки курса
- Чтобы заказать индивидуальное обучение для этого курса, пожалуйста, свяжитесь с нами, чтобы договориться.
Это интерактивное обучение под руководством инструктора (локальное или дистанционное) предназначено для разработчиков программного обеспечения, которые хотят разрабатывать параллельные приложения с использованием OpenMP.
К концу этого тренинга участники смогут:
- Понимать и использовать параллельное программирование с Fortran в OpenMP.
- Вычислять фракталы параллельно, чтобы отобразить несколько пикселей и символов.
- Внедрить векторное программирование с помощью SIMD-расширений для систем HPC.
- Добавьте параллельные блоки для указания параллелизма разделяемой памяти.
Формат курса
- Интерактивная лекция и обсуждение.
- Много упражнений и практики.
- Практическая реализация в среде живых лабораторий.
Параметры настройки курса
- Чтобы заказать индивидуальное обучение для этого курса, пожалуйста, свяжитесь с нами, чтобы договориться.
14 часов
Обзор
This instructor-led, live training (online or onsite) is aimed at developers who wish to use Kubeless to build and deploy applications as functions on top of Kubernetes.
By the end of this training, participants will be able to:
- Install and configure Kubeless.
- Turn Kubernetes into a function execution machine, without the need for add-ons such as a messaging bus.
- Comfortably manage functions as standard Kubernetes objects.
- Troubleshoot deployments using existing logging and monitoring setup and skills.
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 Kubeless, please visit: https://kubeless.io/
By the end of this training, participants will be able to:
- Install and configure Kubeless.
- Turn Kubernetes into a function execution machine, without the need for add-ons such as a messaging bus.
- Comfortably manage functions as standard Kubernetes objects.
- Troubleshoot deployments using existing logging and monitoring setup and skills.
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 Kubeless, please visit: https://kubeless.io/
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 (online or onsite) 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 (online or onsite) 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 a machine learning library and Kubernetes is an orchestration platform for managing containerized applications.
This instructor-led, live training (online or onsite) 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 (online or onsite) 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.
14 часов
Обзор
This instructor-led, live training (online or onsite) is aimed at developers who wish to use Knative to deploy serverless, event-driven functions, applications, and containers in a simplified and consistent manner.
By the end of this training, participants will be able to:
- Install and configure Knative on-premise.
- Deploy and run serverless functions and applications that autoscale.
- Integrate Knative with continuous integration systems to enable an end-to-end development workflow.
- Simplify the overhead of deploying containers; focus on writing great code.
Format of the course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- This course is aimed at on-promise installations of Knative. To use a Knative service provided by a cloud providers, contact us to arrange.
- To request a customized training for this course, please contact us to arrange.
- To learn more about Knative, please visit: https://cloud.google.com/knative/
By the end of this training, participants will be able to:
- Install and configure Knative on-premise.
- Deploy and run serverless functions and applications that autoscale.
- Integrate Knative with continuous integration systems to enable an end-to-end development workflow.
- Simplify the overhead of deploying containers; focus on writing great code.
Format of the course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- This course is aimed at on-promise installations of Knative. To use a Knative service provided by a cloud providers, contact us to arrange.
- To request a customized training for this course, please contact us to arrange.
- To learn more about Knative, please visit: https://cloud.google.com/knative/
8 часов
Обзор
Летний:
- Основы архитектуры и функций IoT
- "Вещи", "Сенсоры", Интернет и отображение между бизнес-функциями IoT
- Существенное из всех компонентов программного обеспечения IoT - аппаратное обеспечение, прошивка, промежуточное программное обеспечение, облако и мобильное приложение
- IoT функции- Менеджер флота, визуализация данных, SaaS на основе FM и DV, оповещения / тревоги, датчик на борту, "вещь" на борту, гео-ограждение
- Основы связи устройств IoT с облаком с МЗТТ.
- Подключение устройств IoT к AWS с помощью МЗТТ (AWS IoT Core).
- Подключение AWS IoT ядра с AWS Lambda функцией для вычислений и хранения данных с помощью DynamoDB.
- Подключение Raspberry PI с AWS IoT ядром и простой передачи данных.
- Руки на с Малина PI и AWS IoT Core для создания смарт-устройства.
- Сенсорная визуализация данных и коммуникация с веб-интерфейсом.
- Основы архитектуры и функций IoT
- "Вещи", "Сенсоры", Интернет и отображение между бизнес-функциями IoT
- Существенное из всех компонентов программного обеспечения IoT - аппаратное обеспечение, прошивка, промежуточное программное обеспечение, облако и мобильное приложение
- IoT функции- Менеджер флота, визуализация данных, SaaS на основе FM и DV, оповещения / тревоги, датчик на борту, "вещь" на борту, гео-ограждение
- Основы связи устройств IoT с облаком с МЗТТ.
- Подключение устройств IoT к AWS с помощью МЗТТ (AWS IoT Core).
- Подключение AWS IoT ядра с AWS Lambda функцией для вычислений и хранения данных с помощью DynamoDB.
- Подключение Raspberry PI с AWS IoT ядром и простой передачи данных.
- Руки на с Малина PI и AWS IoT Core для создания смарт-устройства.
- Сенсорная визуализация данных и коммуникация с веб-интерфейсом.
21 часов
Обзор
Unlike other technologies, IoT is far more complex encompassing almost every branch of core Engineering-Mechanical, Electronics, Firmware, Middleware, Cloud, Analytics and Mobile. For each of its engineering layers, there are aspects of economics, standards, regulations and evolving state of the art. This is for the firs time, a modest course is offered to cover all of these critical aspects of IoT Engineering.
Summary
-
An advanced training program covering the current state of the art in Internet of Things
-
Cuts across multiple technology domains to develop awareness of an IoT system and its components and how it can help businesses and organizations.
-
Live demo of model IoT applications to showcase practical IoT deployments across different industry domains, such as Industrial IoT, Smart Cities, Retail, Travel & Transportation and use cases around connected devices & things
Target Audience
-
Managers responsible for business and operational processes within their respective organizations and want to know how to harness IoT to make their systems and processes more efficient.
-
Entrepreneurs and Investors who are looking to build new ventures and want to develop a better understanding of the IoT technology landscape to see how they can leverage it in an effective manner.
Estimates for Internet of Things or IoT market value are massive, since by definition the IoT is an integrated and diffused layer of devices, sensors, and computing power that overlays entire consumer, business-to-business, and government industries. The IoT will account for an increasingly huge number of connections: 1.9 billion devices today, and 9 billion by 2018. That year, it will be roughly equal to the number of smartphones, smart TVs, tablets, wearable computers, and PCs combined.
In the consumer space, many products and services have already crossed over into the IoT, including kitchen and home appliances, parking, RFID, lighting and heating products, and a number of applications in Industrial Internet.
However, the underlying technologies of IoT are nothing new as M2M communication existed since the birth of Internet. However what changed in last couple of years is the emergence of number of inexpensive wireless technologies added by overwhelming adaptation of smart phones and Tablet in every home. Explosive growth of mobile devices led to present demand of IoT.
Due to unbounded opportunities in IoT business, a large number of small and medium sized entrepreneurs jumped on a bandwagon of IoT gold rush. Also due to emergence of open source electronics and IoT platform, cost of development of IoT system and further managing its sizable production is increasingly affordable. Existing electronic product owners are experiencing pressure to integrate their device with Internet or Mobile app.
This training is intended for a technology and business review of an emerging industry so that IoT enthusiasts/entrepreneurs can grasp the basics of IoT technology and business.
Course Objective
Main objective of the course is to introduce emerging technological options, platforms and case studies of IoT implementation in home & city automation (smart homes and cities), Industrial Internet, healthcare, Govt., Mobile Cellular and other areas.
-
Basic introduction of all the elements of IoT-Mechanical, Electronics/sensor platform, Wireless and wireline protocols, Mobile to Electronics integration, Mobile to enterprise integration, Data-analytics and Total control plane
-
M2M Wireless protocols for IoT- WiFi, Zigbee/Zwave, Bluetooth, ANT+ : When and where to use which one?
-
Mobile/Desktop/Web app- for registration, data acquisition and control –Available M2M data acquisition platform for IoT-–Xively, Omega and NovoTech, etc.
-
Security issues and security solutions for IoT
-
Open source/commercial electronics platform for IoT-Raspberry Pi, Arduino , ArmMbedLPC etc
-
Open source /commercial enterprise cloud platform for AWS-IoT apps, Azure -IOT, Watson-IOT cloud in addition to other minor IoT clouds
-
Studies of business and technology of some of the common IoT devices like Home automation, Smoke alarm, vehicles, military, home health etc.
Summary
-
An advanced training program covering the current state of the art in Internet of Things
-
Cuts across multiple technology domains to develop awareness of an IoT system and its components and how it can help businesses and organizations.
-
Live demo of model IoT applications to showcase practical IoT deployments across different industry domains, such as Industrial IoT, Smart Cities, Retail, Travel & Transportation and use cases around connected devices & things
Target Audience
-
Managers responsible for business and operational processes within their respective organizations and want to know how to harness IoT to make their systems and processes more efficient.
-
Entrepreneurs and Investors who are looking to build new ventures and want to develop a better understanding of the IoT technology landscape to see how they can leverage it in an effective manner.
Estimates for Internet of Things or IoT market value are massive, since by definition the IoT is an integrated and diffused layer of devices, sensors, and computing power that overlays entire consumer, business-to-business, and government industries. The IoT will account for an increasingly huge number of connections: 1.9 billion devices today, and 9 billion by 2018. That year, it will be roughly equal to the number of smartphones, smart TVs, tablets, wearable computers, and PCs combined.
In the consumer space, many products and services have already crossed over into the IoT, including kitchen and home appliances, parking, RFID, lighting and heating products, and a number of applications in Industrial Internet.
However, the underlying technologies of IoT are nothing new as M2M communication existed since the birth of Internet. However what changed in last couple of years is the emergence of number of inexpensive wireless technologies added by overwhelming adaptation of smart phones and Tablet in every home. Explosive growth of mobile devices led to present demand of IoT.
Due to unbounded opportunities in IoT business, a large number of small and medium sized entrepreneurs jumped on a bandwagon of IoT gold rush. Also due to emergence of open source electronics and IoT platform, cost of development of IoT system and further managing its sizable production is increasingly affordable. Existing electronic product owners are experiencing pressure to integrate their device with Internet or Mobile app.
This training is intended for a technology and business review of an emerging industry so that IoT enthusiasts/entrepreneurs can grasp the basics of IoT technology and business.
Course Objective
Main objective of the course is to introduce emerging technological options, platforms and case studies of IoT implementation in home & city automation (smart homes and cities), Industrial Internet, healthcare, Govt., Mobile Cellular and other areas.
-
Basic introduction of all the elements of IoT-Mechanical, Electronics/sensor platform, Wireless and wireline protocols, Mobile to Electronics integration, Mobile to enterprise integration, Data-analytics and Total control plane
-
M2M Wireless protocols for IoT- WiFi, Zigbee/Zwave, Bluetooth, ANT+ : When and where to use which one?
-
Mobile/Desktop/Web app- for registration, data acquisition and control –Available M2M data acquisition platform for IoT-–Xively, Omega and NovoTech, etc.
-
Security issues and security solutions for IoT
-
Open source/commercial electronics platform for IoT-Raspberry Pi, Arduino , ArmMbedLPC etc
-
Open source /commercial enterprise cloud platform for AWS-IoT apps, Azure -IOT, Watson-IOT cloud in addition to other minor IoT clouds
-
Studies of business and technology of some of the common IoT devices like Home automation, Smoke alarm, vehicles, military, home health etc.
14 часов
Обзор
Internet of Things (IoT) - это сетевая инфраструктура, которая беспроводным образом соединяет физические объекты и программные приложения, позволяя им общаться друг с другом и обмениваться данными через сетевые коммуникации, облачные вычисления и сбор данных Azure - это комплексный пакет облачных сервисов, предлагающий набор IoT, состоящий из предварительно сконфигурированных решений, которые помогают разработчикам ускорить разработку проектов IoT В этом обученном, живом обучении участники узнают, как разрабатывать приложения IoT с использованием Azure К концу этого тренинга участники смогут: Понимать основы архитектуры IoT Установка и настройка Azure IoT Suite Узнайте преимущества использования Azure в программировании систем IoT Внедрение различных сервисов Azure IoT (концентратор IoT, функции, потоковая аналитика, силовая BI, база данных Cosmos, DocumentDB, управление устройствами IoT) Сборка, тестирование, развертывание и устранение неполадок системы IoT с использованием Azure Аудитория Разработчики Инженеры Формат курса Часть лекций, обсуждение частей, упражнения и тяжелая практика handson Заметка Чтобы запросить индивидуальную подготовку для этого курса, пожалуйста, свяжитесь с нами, чтобы договориться ,.
14 часов
Обзор
This instructor-led, live training (online or onsite) is aimed at developers who wish to use OpenFaas to create, build, test, debug and deploy event-driven functions without needing to worry about managing the underlying server infrastructure.
By the end of this training, participants will be able to:
- Install and configure OpenFaas.
- Package any binary or code as a serverless function without repetitive boiler-plate coding.
- Decouple from AWS Lambda to avoid lock-in.
- Deploy event-driven functions to an on-premise server or to the cloud.
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 OpenFaas, please visit: https://www.openfaas.com/
By the end of this training, participants will be able to:
- Install and configure OpenFaas.
- Package any binary or code as a serverless function without repetitive boiler-plate coding.
- Decouple from AWS Lambda to avoid lock-in.
- Deploy event-driven functions to an on-premise server or to the cloud.
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 OpenFaas, please visit: https://www.openfaas.com/
14 часов
Обзор
OpenStack is an open source IaaS (Infrastructure as a Service) software stack. It is popular among Telecom providers who wish to optimize their network stack through Network Functions Virtualization (NFV).
This instructor-led, live training (online or onsite) is aimed at engineers, architects and managers who wish to deploy an OpenStack cloud to manage their Telecom infrastructure.
By the end of this training, participants will be able to:
- Plan, deploy, and administer OpenStack as a private cloud.
- Understand IaaS architecture and its implementation under OpenStack.
- Replace physical routers and servers with virtual machines running in a private cloud.
- Reduce infrastructure and maintenance costs through virtualization and cloud computing.
- Expedite the rollout of new services to customers.
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 (online or onsite) is aimed at engineers, architects and managers who wish to deploy an OpenStack cloud to manage their Telecom infrastructure.
By the end of this training, participants will be able to:
- Plan, deploy, and administer OpenStack as a private cloud.
- Understand IaaS architecture and its implementation under OpenStack.
- Replace physical routers and servers with virtual machines running in a private cloud.
- Reduce infrastructure and maintenance costs through virtualization and cloud computing.
- Expedite the rollout of new services to customers.
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.
7 часов
Обзор
Этот курс был разработан для разработчиков и менеджеров проектов, которые хотели бы экспериментировать с Blockchain в своих продуктах и проектах Курс дает базовые знания о том, как настроить свою собственную цепочку цепочек с помощью IBM Bluemix Обратите внимание: из-за ограниченных возможностей обучения и всего, что уже было предустановлено на Bluemix, оно используется только для студентов колледжей, а в корпоративных случаях мы будем использовать экземпляр AWS или виртуальные машины для настройки полной установки гиперлегерной ткани с нуля, чтобы ускорить практическое и практическое освоение знаний субъектов ,.
28 часов
Обзор
Pivotal Cloud Foundry - это базовая фирменная установка Cloud Foundry Он объединяет такие сервисы, как MySQL, Redis, ELK, RabbitMQ и т Д С Cloud Foundry В этом обученном, живом обучении участники узнают, как настроить и управлять Pivotal Cloud Foundry К концу этого тренинга участники смогут: Понимание того, как отношение литейного облака к другим облачным предложениям (SaaS, PaaS to IaaS) Устанавливать, настраивать и поддерживать экземпляр Pivotal Cloud Foundry Разверните образец облачного приложения Настройка и управление пользователями в Pivotal Cloud Foundry Резервное копирование, восстановление и обновление Pivotal Cloud Foundry Аудитория Администраторы Формат курса Часть лекций, обсуждение частей, упражнения и тяжелая практика handson ,.
21 часов
Обзор
Amazon Web Services (AWS) provides infrastructure for building applications in the cloud. Terraform is a tool for managing that infrastructure. The combination of AWS and Terraform make managing highly complex, production-grade servers and applications practical, efficient, and even enjoyable.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to use Terraform on AWS to plan and build cloud infrastructure.
By the end of this training, participants will be able to:
- Install and configure Terraform on AWS.
- Implement an "infrastructure as code" approach to managing AWS cloud environments.
- Create, launch, and dismantle infrastructure from within a single tool.
- Write declarative configuration files that can be managed like any other source code in a version control system.
- Quickly update configuration files for effectively responding to changing compute resource needs.
- Collaborate with other infrastructure engineers by sharing configuration files in a common code repository.
- Improve transparency in the infrastructure procurement process.
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 (online or onsite) is aimed at engineers who wish to use Terraform on AWS to plan and build cloud infrastructure.
By the end of this training, participants will be able to:
- Install and configure Terraform on AWS.
- Implement an "infrastructure as code" approach to managing AWS cloud environments.
- Create, launch, and dismantle infrastructure from within a single tool.
- Write declarative configuration files that can be managed like any other source code in a version control system.
- Quickly update configuration files for effectively responding to changing compute resource needs.
- Collaborate with other infrastructure engineers by sharing configuration files in a common code repository.
- Improve transparency in the infrastructure procurement process.
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
Terraform is a configuration orchestration tool for building and managing infrastructure on and off the cloud.
This instructor-led, live training (online or onsite) is aimed at engineers with little or no previous experience managing infrastructure. Terraform will be used to automate the setup and deployment of infrastructure.
By the end of this training, participants will be able to:
- Install and configure Terraform.
- Understand the principles of infrastructure as code.
- Set up and automate infrastructure using Terraform.
- Write and share configuration file with team members.
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 Terraform, please visit: https://github.com/hashicorp/terraform
This instructor-led, live training (online or onsite) is aimed at engineers with little or no previous experience managing infrastructure. Terraform will be used to automate the setup and deployment of infrastructure.
By the end of this training, participants will be able to:
- Install and configure Terraform.
- Understand the principles of infrastructure as code.
- Set up and automate infrastructure using Terraform.
- Write and share configuration file with team members.
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 Terraform, please visit: https://github.com/hashicorp/terraform
14 часов
Обзор
This instructor-led, live training (online or onsite) is aimed at engineers who wish to use Terraform to plan and build cloud infrastructure.
By the end of this training, participants will be able to:
- Install and configure Terraform.
- Implement an "infrastructure as code" approach to managing private and public cloud environments.
- Write declarative configuration files for more efficient change management and collaboration.
- Improve transparency in the infrastructure procurement process.
- Create, launch, and remove resources across different infrastructure providers (AWS, GCP, Azure, OpenStack, VMware, etc.) from within a single tool.
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 Terraform, please visit: https://www.terraform.io/
By the end of this training, participants will be able to:
- Install and configure Terraform.
- Implement an "infrastructure as code" approach to managing private and public cloud environments.
- Write declarative configuration files for more efficient change management and collaboration.
- Improve transparency in the infrastructure procurement process.
- Create, launch, and remove resources across different infrastructure providers (AWS, GCP, Azure, OpenStack, VMware, etc.) from within a single tool.
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 Terraform, please visit: https://www.terraform.io/
14 часов
Обзор
This instructor-led, live training (online or onsite) is aimed at developers who wish to use Serverless Framework on AWS and other cloud platforms to create and deploy microservice applications.
By the end of this training, participants will be able to:
- Set up Serverless Framework to work with compute services such as AWS Lambda.
- Reduce the complexity and cost of deploying microservices on different cloud platforms.
- Emit and capture events and execute functions automatically.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- Sample applications and functions can written in a number of languages (Python, Java, Scala, C#, etc.), please contact us to request your preference.
- To request a customized training for this course, please contact us to arrange.
- To learn more about Serverless Framework, please visit: https://github.com/serverless/serverless
By the end of this training, participants will be able to:
- Set up Serverless Framework to work with compute services such as AWS Lambda.
- Reduce the complexity and cost of deploying microservices on different cloud platforms.
- Emit and capture events and execute functions automatically.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- Sample applications and functions can written in a number of languages (Python, Java, Scala, C#, etc.), please contact us to request your preference.
- To request a customized training for this course, please contact us to arrange.
- To learn more about Serverless Framework, please visit: https://github.com/serverless/serverless
21 часов
Обзор
Red Hat Ceph Storage is a storage platform for storing petabyte-size data.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to understand and deploy a Red Hat Ceph Storage cluster.
By the end of this training, participants will be able to:
- Install and configure Red Hat Ceph Storage.
- Deploy and manage a Red Hat Ceph Storage cluster.
- Tune Red Hat Ceph Storage for performance.
- Integrate Red Hat Ceph Storage with OpenStack.
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 Red Hat Open Ceph, please visit: https://www.redhat.com/en/technologies/storage/ceph
This instructor-led, live training (online or onsite) is aimed at engineers who wish to understand and deploy a Red Hat Ceph Storage cluster.
By the end of this training, participants will be able to:
- Install and configure Red Hat Ceph Storage.
- Deploy and manage a Red Hat Ceph Storage cluster.
- Tune Red Hat Ceph Storage for performance.
- Integrate Red Hat Ceph Storage with OpenStack.
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 Red Hat Open Ceph, please visit: https://www.redhat.com/en/technologies/storage/ceph
21 часов
Обзор
Pulumi is an infrastructure as code tool for creating, deploying, and managing cloud applications and infrastructure.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to deploy software applications to any of a number of environments, from traditional infrastructure, to Kubernetes clusters or serverless functions.
By the end of this training, participants will be able to:
- Install and configure Pulumi.
- Declare cloud infrastructure using programming languages.
- Use Pulumi to deploy software using VMs, networks, and databases, as well as Kubernetes clusters and serverless functions.
- Deploy software to public, private, and hybrid cloud service infrastructures.
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 (online or onsite) is aimed at engineers who wish to deploy software applications to any of a number of environments, from traditional infrastructure, to Kubernetes clusters or serverless functions.
By the end of this training, participants will be able to:
- Install and configure Pulumi.
- Declare cloud infrastructure using programming languages.
- Use Pulumi to deploy software using VMs, networks, and databases, as well as Kubernetes clusters and serverless functions.
- Deploy software to public, private, and hybrid cloud service infrastructures.
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
Pivotal Cloud Foundry - это базовая фирменная установка Cloud Foundry Он объединяет такие сервисы, как MySQL, Redis, ELK, RabbitMQ и т Д С Cloud Foundry В этом обученном, живом обучении участники узнают, как развернуть, управлять и масштабировать приложения на Pivotal Cloud Foundry К концу этого тренинга участники смогут: Понимание того, как отношение литейного облака к другим облачным предложениям (SaaS, PaaS to IaaS) Развертывание, управление и масштабирование облачных приложений и сервисов Понять, как Cloud Foundry вписывается в архитектуру микросервиса Аудитория Разработчики Администраторы Формат курса Часть лекций, обсуждение частей, упражнения и тяжелая практика handson ,.
7 часов
Обзор
OSv - это операционная система с открытым исходным кодом для облака В этом обученном, живом обучении участники узнают, как OSv сравнивается с традиционными технологиями и подходами к виртуализации, поскольку они настраивают экземпляр OSv в лабораторной среде К концу этого тренинга участники смогут: Запустите OSv на минимальную память и накладные расходы процессора, по сравнению с традиционными ОС Установка, настройка и устранение неполадок OSV Уменьшите размер и количество исполняемых экземпляров ОС Запускайте большие приложения, такие как Cassandra на OSv Аудитория Системные администраторы Формат курса Часть лекций, обсуждение частей, упражнения и тяжелая практика handson ,.
14 часов
Обзор
This instructor-led, live training (online or onsite) is aimed at developers who wish to use OpenWhisk to create, build, test, debug and deploy event-driven functions without needing to worry about managing the underlying execution environment.
By the end of this training, participants will be able to:
- Install and configure OpenWhisk.
- Use OpenWhisk to enable writing "code as a function".
- Understand how OpenWhisk orchestrates functions on Kubernetes.
- Decouple from AWS Lambda to avoid lock in and improves flexibility.
- Deploy event-driven functions to an on-premise server or to the cloud.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- OpenWhisk supports a number of languages, including: Go, Java, JavaScript, PHP, Python, Ruby, Swift, etc. To request a specific language for the course, please contact us to arrange.
- To request a customized training for this course, please contact us to arrange.
- To learn more about OpenWhisk, please visit: http://openwhisk.incubator.apache.org/
By the end of this training, participants will be able to:
- Install and configure OpenWhisk.
- Use OpenWhisk to enable writing "code as a function".
- Understand how OpenWhisk orchestrates functions on Kubernetes.
- Decouple from AWS Lambda to avoid lock in and improves flexibility.
- Deploy event-driven functions to an on-premise server or to the cloud.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- OpenWhisk supports a number of languages, including: Go, Java, JavaScript, PHP, Python, Ruby, Swift, etc. To request a specific language for the course, please contact us to arrange.
- To request a customized training for this course, please contact us to arrange.
- To learn more about OpenWhisk, please visit: http://openwhisk.incubator.apache.org/
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