Google Kubernetes Engine (GKE)のトレーニングコース

Minikube is a tool that makes it easy to run Kubernetes locally.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level software developers and DevOps professionals who wish to learn how to set up and manage a local Kubernetes environment using Minikube.

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

• Install and configure Minikube on their local machine.
• Understand the basic concepts and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Set up persistent storage and networking solutions for Kubernetes.
• Utilize Minikube for developing, testing, and debugging applications.

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.

Minikube is a powerful tool for developers to run Kubernetes locally.

This instructor-led, live training (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to use Minikube as a part of their development workflow.

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

• Set up and manage a local Kubernetes environment using Minikube.
• Understand how to deploy, manage, and debug applications on Minikube.
• Integrate Minikube into their continuous integration and deployment pipelines.
• Optimize their development process using Minikube's advanced features.
• Apply best practices for local Kubernetes development.

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 Helm to streamline the process of installing and managing Kubernetes applications.

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

• Install and configure Helm.
• Create reproducible builds of Kubernetes applications.
• Share applications as Helm charts.
• Run third-party applications saved as Helm charts.
• Manage releases of Helm packages.

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 Helm, please visit: https://helm.sh/

This instructor-led, live training (online or onsite) 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/.

Fn Project is an open-source, serverless platform that can run on any cloud or in-house environment. Fn can be hosted in various Docker-supported platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud.

This instructor-led, live training (online or onsite) is aimed at programmers and developers who wish to use Fn in creating serverless applications and services.

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

• Set up Fn to create directories and functions.
• Create applications using different programming languages.
• Monitor functions to resolve issues at the development and deployment stages.

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.

OpenMP (Open Multi-Processing) is an API for shared memory multiprocessing programming. With OpenMP, programmers are able to develop parallel applications for platforms from desktops to non-shared memory systems.

This instructor-led, live training (online or onsite) is aimed at software engineers who wish to develop parallel applications using OpenMP.

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

• Understand and use parallel programming with Fortran in OpenMP.
• Calculate fractals in parallel to render multiple pixels and characters.
• Implement vector programming with SIMD extensions for HPC systems.
• Add parallel blocks for specifying shared memory parallelism.

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 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/

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/

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/

The Serverless Framework is a web framework for building applications on serverless computing platforms such as AWS Lambda, Azure Functions, IBM Cloud Functions, Google Cloud Functions, etc.

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

Serverless is a DevOps architecture that allows the creation and deployment of highly-scalable enterprise applications without the provisioning of any server. Kubernetes is an open-source platform for building container-based and cloud-native projects. A serverless framework can be integrated with Kubernetes to provide the automated hosting infrastructure necessary to run CaaS and FaaS implementations.

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

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

• Setup and configure the Kubernetes system to start developing with a serverless architecture.
• Understand the concepts and principles foundational to serverless environments.
• Operate toolchains necessary to serverless development and integrate it with Kubernetes components.
• Practice their skill in Python programming language and apply it to implement  serverless systems.
• Secure enterprise applications that are deployed through a serverless framework on Kubernetes.
• Utilize modern cloud computing methods in optimizing DevOps task processing workflows.

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.

Microsoft Azure Service Fabric (ASF) is a platform as a service (PaaS) used for deploying scalable microservices-based cloud applications. 

This instructor-led, live training (online or onsite) is aimed at developers who wish to learn how to build microservices on Microsoft Azure Service Fabric (ASF).

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

• Use ASF as a platform for building and managing microservices.
• Understand key microservices programming concepts and models.
• Create a cluster in Azure.
• Deploy microservices on premises or in the cloud.
• Debug and troubleshoot a live microservice 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.
• To learn more about Service Fabrice, please see: https://github.com/Microsoft/service-fabric

DynamoDB is a NoSQL database service offered by AWS as part of the AWS portfolio. It is a key-valued and document based database that delivers fast performance.

This instructor-led, live training (online or onsite) is aimed at developers who wish to integrate a DynamoDB NoSQL database into a web application hosted on AWS.

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

• Set up the necessary development environment to start integrating data into DynamoDB.
• Integrate DynamoDB into web applications and mobile applications.
• Move data in AWS with AWS services.
• Implement operations with AWS DAX.

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.

Amazon Web Services (AWS) CloudFormation is a service that simplifies infrastructure management by treating infrastructures as code. CloudFormation templates can be used to manage and provision AWS resources.

This instructor-led, live training (online or onsite) is aimed at cloud engineers and developers who wish to use CloudFormation to manage infrastructure resources within the AWS ecosystem.

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

• Implement CloudFormation templates to automate infrastructure management.
• Integrate existing AWS resources into CloudFormation.
• Use StackSets to manage stacks across multiple accounts and regions.

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.

Managing an AWS environment is a complex and error-prone job. CloudFormation enables the provisioning of a cloud environment using text based YAML templates. 

This instructor-led, live training (online or onsite) is aimed at engineers who wish to use AWS CloudFormation to automate the process of managing AWS cloud infrastructure.

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

• Enable AWS services to get started managing infrastructure.
• Understand and apply the principle of "infrastructure as code".
• Improve quality and lower the costs of deploying infrastructure.
• Write CloudFormation Templates using YAML.

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.