OKD (Origin Kubernetes Distribution) for Developers Training Course

Pelatihan langsung yang dipimpin instruktur di Indonesia (online atau di lokasi) ditujukan untuk pengembang perangkat lunak tingkat pemula hingga menengah dan DevOps profesional yang ingin mempelajari cara mengatur dan mengelola lingkungan lokal Kubernetes menggunakan Minikube.

Pada akhir pelatihan ini, peserta akan mampu:

• Instal dan konfigurasikan Minikube di mesin lokalnya.
• Memahami konsep dasar dan arsitektur Kubernetes.
• Terapkan dan kelola container menggunakan kubectl dan dasbor Minikube.
• Siapkan solusi penyimpanan dan jaringan persisten untuk Kubernetes.
• Manfaatkan Minikube untuk mengembangkan, menguji, dan men-debug aplikasi.

Pelatihan langsung yang dipimpin instruktur di Indonesia (online atau di lokasi) ditujukan untuk pengembang tingkat menengah dan DevOps insinyur yang ingin menggunakan Minikube sebagai bagian dari alur kerja pengembangan mereka.

Pada akhir pelatihan ini, peserta akan mampu:

• Siapkan dan kelola lingkungan lokal Kubernetes menggunakan Minikube.
• Pahami cara men-deploy, mengelola, dan men-debug aplikasi di Minikube.
• Integrasikan Minikube ke dalam jalur integrasi dan penerapan berkelanjutan mereka.
• Optimalkan proses pengembangan mereka menggunakan fitur-fitur canggih Minikube.
• Menerapkan praktik terbaik untuk pembangunan lokal Kubernetes.

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/.

OpenShift Container Platform (formerly OpenShift Enterprise) v. 4 is a collection of software put together by Red Hat for deploying containers and Kubernetes in the enterprise. New features in version 4 include Operators, machine sets, and CoreOS -- all of which enable clusters to self-manage some functions previously performed by administrators.

In this instructor-led, live training (online or onsite), participants will learn how to install, configure, and manage OpenShift Container Platform v4.

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

• Undersand OCI (Open Containers Initiative) and its implications for using container enginees such as Docker in OpenShift.
• Understand the relationship between the different versions of OpenShift (OKP, OpenShift Container Platform, Red Hat OpenShift, etc.).
• Create, configure, manage, and troubleshoot an OpenShift Container Platform cluster.
• Implement OpenShift Container Platform's self-manage capabilities to improve platform stability and consistency.
• Secure OpenShift Container Platform.
• Monitor and gather metrics.
• Manage storage.
• Upgrade an OpenShift Container Platform 3 cluster to OpenShift Container Platform 4.

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 focuses on OpenShift Container Platform, version 4. If you wish to use a different version of OpenShift (e.g. OpenShift Container Platform 3 or OKD), please contact us to arrange.
• To request a customized training for this course, please contact us to arrange.

Red Hat OpenShift Container Platform (formerly OpenShift Enterprise) is an on-premises platform-as-a-service used for developing and deploying containerized applications on Kubernetes. Red Hat OpenShift Container Platform runs on Red Hat Enterprise Linux.

In this instructor-led, live training, participants will learn how to manage Red Hat OpenShift Container Platform.

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

• Create, configure, manage, and troubleshoot OpenShift clusters.
• Deploy containerized applications on-premise, in public cloud or on a hosted cloud.
• Secure OpenShift Container Platform.
• Monitor and gather metrics.
• Manage storage.

Format of the Course

• Part lecture, part discussion, exercises and heavy hands-on practice.

Course Customization Options

• This course is based on OpenShift Container Platform version 3.x.
• To customize the course or request training on a different version of OpenShift (e.g., OpenShift Container Platform 4 or OKD), please contact us to arrange.

OpenShift Container Platform (formerly OpenShift Enterprise) is a collection of software put together by Red Hat for deploying containers and Kubernetes in the enterprise. OpenShift Container Platform optimizes developer productivity with features such as, Red Hat CodeReady Workspaces, OpenShift Service Mesh, Kubernetes-based event-driven autoscaling, and Operator-enabled Red Hat OpenShift Container Storage.

In this instructor-led, live training (online or onsite), participants will learn how to create, update, and maintain applications using OpenShift Container Platform.

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

• Undersand OCI (Open Containers Initiative) and its implications for using container enginees such as Docker in OpenShift.
• Understand the relationship between the different versions of OpenShift (OKP, OpenShift Container Platform, Red Hat OpenShift, etc.)
• Automate the software delivery pipeline.
• Apply DevOps principles to deliver software continuously.

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 focuses on OpenShift Container Platform, version 4. If you wish to use a different version of OpenShift (e.g. OpenShift Container Platform 3 or OKD), please contact us to arrange.
• To request a customized training for this course, please contact us to arrange.

Docker is an open-source platform for automating the process of building, shipping and running applications inside containers.

Kubernetes goes one step further by providing the tools needed to deploy and manage containerized applications at scale in a clustered environment.

OpenShift Container Platform (formerly OpenShift Enterprise) brings Docker and Kubernetes together into a managed platform, or PaaS (Platform as a Service), to further ease and simplify the deployment of Docker and Kubernetes. It provides predefined application environments and helps to realize key DevOps principles such as reduced time to market, infrastructure as code, continuous integration (CI), and continuous delivery (CD). OpenShift Container Platform is maintained by Red Hat and runs atop of Red Hat Enterprise Linux.

In this instructor-led, live training, participants will learn how to use OpenShift Container Platform to deploy containerized applications.

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

• Create and configure an OpenShift setup.
• Quickly deploy applications on-premise, in public cloud or on a hosted cloud.

Format of the Course

• Part lecture, part discussion, exercises and heavy hands-on practice.

Course Customization Options

• This course is based on OpenShift Container Platform version 3.x. 
• To customize the course or request training on a different version of OpenShift (e.g., OpenShift Container Platform 4 or OKD), please contact us to arrange.

Jenkins is an open sourced automation server for continuous integration and continuous delivery (CI/CD). OpenShift is a containerization platform for managing infrastructures on the cloud or on-premise.

This instructor-led, live training (online or onsite) is aimed at DevOps engineers who wish to use OpenShift and Jenkins to build, deploy, and manage container-based applications.

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

• Build Jenkins pipelines in OpenShift.
• Automate the lifecycle management for containerized applications and cluster infrastructures.
• Orchestrate the deployment of CI/CD pipelines.

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.

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 a 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 (online or onsite) 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.

OKD is an application development platform for deploying containerized applications using Kubernetes. OKD is the upstream code base upon which Red Hat OpenShift Online and Red Hat OpenShift Container Platform are built.

In this instructor-led, live training (onsite or remote), participants will learn how to install, configure, and manage OKD on-premise or in the cloud.

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

• Create, configure, manage, and troubleshoot an OKD cluster.
• Secure OKD.
• Deploy containerized applications on OKD.
• Monitor the performance of an application running in OKD.
• Manage data storage.
• Quickly deploy applications on-premise or on a public cloud such as AWS.

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 based on OKD (Origin Kubernetes Distribution).
• To customize the course or request training on a different version of OpenShift (e.g., OpenShift Container Platform 3 or OpenShift Container Platform 4), please contact us to arrange.

Kursus latihan ini Docker dan Kubernetes dirancang untuk menyediakan para hadirin yang berdasarkan Docker dan Kubernetes teknologi. Seluruh perkara utama Kubernetes termasuk, Pods, Label, Volume, Kontroler Replikasi, Dilayani dan lebih banyak. Kursus itu mengambil hadirin dari installasi ke management dan penggunaan melalui kombinasi laboratorium laboratorium di mana mereka akan mendapat pengalaman konfigurasi dan menangani Kubernetes objek. Selain itu, kursus ini akan memberi para hadirin pengetahuan yang teguh tentang Kubernetes termasuk keadaan dan keamanan untuk menjalankan keamanan Kubernetes cluster dalam produksi.

Kursus ini adalah bagi orang-orang dan tim yang ingin belajar Kubernetes kelakuan orkestrasi Kubernetes untuk membina layanan yang aman, kuat, sangat tersedia, retability dan mengembangkan diri:

& middot; Developer

& middot; Operasi

& middot; DevOps

& middot; QA Injiner

& middot; Manajer Projek IT

The objective of this practical course is to provide all the tools that address the practical aspects of Docker and Kubernetes, in order that the participants can count on the necessary skills for the proper management of the program.

Rancher is an open source PaaS platform for managing Kubernetes on any infrastructure.

This instructor-led, live course provides participants with an overview of Rancher and demonstrates through hands-on practice how to deploy and manage a Kubernetes cluster with Rancher.

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

• Install and configure Rancher.
• Launch a Kubernetes cluster using RKE (Rancher Kubernetes Engine).
• Manage multiple cloud Kubernetes clusters while avoiding vendor lock-in.
• Manage Kubernetes clusters using their operating system and container engine of choice.

Format of the Course

• Part lecture, part discussion, heavy hands-on practice

Docker is an open-source platform for automating the process of building, shipping and running applications inside containers. Kubernetes goes one step further by providing the tools needed to deploy and manage containerized applications at scale in a clustered environment.

In this instructor-led, live training (onsite or remote), participants will learn how to create and manage Docker containers, then deploy a sample application inside a container. Participants will also learn how to automate, scale, and manage their containerized applications within a Kubernetes cluster. Finally, the training goes on to more advanced topics, walking participants through the process of securing, scaling and monitoring a Kubernetes cluster.

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

• Set up and run a Docker container.
• Deploy a containerized server and web application.
• Build and manage Docker images.
• Set up a Docker and Kubernetes cluster.
• Use Kubernetes to deploy and manage a clustered web application.
• Secure, scale and monitor a Kubernetes cluster.

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Note:

• Apache Tomcat and a Java EE application will be used as our demo servers and applications for containerization. However, *these are subject to change*. If you would like to see a specific application or related tool or technique covered in this training, please contact us to arrange.