CA, Sunnyvale - Downtown Sunnyvale

640 W California Ave Suite 210, Sunnyvale, united states, 94086
The Sunnyvale center is located one block from Caltrain rail station and provides easy access to Central Expressway and High...

CA, San Francisco - Golden Gate

75 Broadway, San Francisco , united states, 94111
With its fabulous arched windows, the 75 Broadway office, located in the heart of Jackson Square, is designed to impress. Sit...

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Explore Our Courses

Docker and Kubernetes

 21 Hours
Training objectives: Acquire theoretical and operational skills on Docker and Kubernetes.
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Kubernetes from Basic to Advanced

 14 Hours
In this instructor-led, live training in San Francisco Bay Area (onsite or remote), participants will learn how to deploy a collection of sample servers inside containers, then automate, scale, and manage their containerized servers within a Kubernetes cluster. The training goes on to more advanced topics, walking participants through the process of securing, networking and monitoring a Kubernetes cluster. By the end of this training, participants will be able to:
  • Set up and run a Docker container.
  • Deploy containerized databases and servers.
  • Set up a Docker and Kubernetes cluster.
  • Use Kubernetes to deploy and manage different environments under the same cluster.
  • Secure, scale and monitor a Kubernetes cluster.
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Docker and Kubernetes: Building and Scaling a Containerized Application

 21 Hours
In this instructor-led, live training in San Francisco Bay Area (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.
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Certified Kubernetes Administrator (CKA) - exam preparation

 21 Hours
The Certified Kubernetes Administrator (CKA) program was created by The Linux Foundation and the Cloud Native Computing Foundation (CNCF).Kubernetes is nowadys a leading platform used for containers orchestration.NobleProg have been delivering Docker & Kubernetes training from 2015. With more than 360 successfully completed training projects, we became one of the best known training companies worldwide in field of containerization.Since 2019 we are also helping our customers to confirm their performance in k8s environment by preparing them and encouraging to pass CKA and CKAD exams.This instructor-led, live training (online or onsite) is aimed at System Administrators, Kubernetes users who wish to confirm their knowledge by passing CKA exam.On the other hand, training is focused also on gaining practical experience in Kubernetes Administration, so we recommend taking part in it, even if you don't intend to take CKA exam.Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
  • To learn more about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka
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Kubernetes on Azure (AKS)

 14 Hours
In this instructor-led, live training in San Francisco Bay Area (online or onsite), participants will learn how to set up and manage a production-scale container environment using Kubernetes on AKS.  By the end of this training, participants will be able to:
  • Configure and manage Kubernetes on AKS.
  • Deploy, manage and scale a Kubernetes cluster.
  • Deploy containerized (Docker) applications on Azure.
  • Migrate an existing Kubernetes environment from on-premise to AKS cloud.
  • Integrate Kubernetes with third-party continuous integration (CI) software.
  • Ensure high availability and disaster recovery in Kubernetes.
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Docker (introducing Kubernetes)

 14 Hours
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.
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Docker, Kubernetes and OpenShift 3 for Administrators

 35 Hours
In this instructor-led, live training in San Francisco Bay Area, 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.
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Docker, Kubernetes and OpenShift 3 for Developers

 35 Hours
In this instructor-led, live training in San Francisco Bay Area, 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.
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Kubernetes Advanced

 14 Hours
This instructor-led, live training (online or onsite) is aimed at engineers wishing to automate, secure, and monitor containerized applications in a large-scale Kubernetes cluster. By the end of this training, participants will be able to:
  • Use Kubernetes to deploy and manage different environments under the same cluster
  • Secure, scale and monitor a Kubernetes cluster
Format of the Course
  • Interactive lecture and discussion
  • Lots of exercises and practice
  • Hands-on implementation in a live-lab environment
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Certified Kubernetes Application Developer (CKAD) - exam preparation

 21 Hours
The Certified Kubernetes Application Developer (CKAD) program has been developed by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), the host of Kubernetes.This instructor-led, live training (online or onsite) is aimed at Developers who wish to confirm their skills in design, build, configure, and expose cloud native applications for Kubernetes. On the other hand, training is also focused on gaining practical experience in Kubernetes application development, so we recommend taking part in it, even if you don't intend to take CKAD exam.NobleProg have been delivering Docker & Kubernetes training from 2015. With more than 360 successfully completed training projects, we became one of the best known training company worldwide in field of containerization. Since 2019 we are also helping our customers to confirm their performance in k8s environment by preparing them and encouraging to pass CKA and CKAD exams.Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
  • To learn more about CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/
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Managing Kubernetes with Rancher

 14 Hours
This instructor-led, live course in San Francisco Bay Area provides participants with an overview of Rancher and demonstrates through hands-on practice how to deploy and manage a Kubernetes cluster with Rancher.
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Creating a Service Mesh with Istio and Kubernetes

 14 Hours
This instructor-led, live training in San Francisco Bay Area (online or onsite) is aimed at engineers who wish to connect, secure, and manage cloud-based applications (e.g., microservices) using an Istio-based service mesh. By the end of this training, participants will be able to:
  • Install and configure Istio on Kubernetes.
  • Understand service meshes and to implement one with Istio.
  • Deploy an Istio service mesh on top of Kubernetes.
  • Use a service mesh to run, manage and monitor microservices in the cloud.
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Microservice Development with Java EE 8, Docker, and Kubernetes

 28 Hours
This instructor-led, live training in San Francisco Bay Area (online or onsite) is aimed at developers who wish to containerize their Java EE 8 applications and run them as microservices in the cloud. By the end of this training, participants will be able to:
  • Build and deploy Java microservices in Docker containers.
  • Manage Docker containers using Kubernetes.
  • Integrate microservices with an existing monolithic system.
  • Monitor, test, and secure microservices.
  • Troubleshoot containers and orchestration environments.
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Kubernetes on AWS

 14 Hours
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.
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Kubernetes Design Patterns

 21 Hours
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.
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Choosing a Kubernetes Solution

 14 Hours
This instructor-led, live training in San Francisco Bay Area (online or onsite) is aimed at engineers who wish to evaluate, select and deploy the most appropriate Kubernetes solution for their specific situation. By the end of this training, participants will be able to:
  • Install and configure a Kubernetes cluster on premise and in the cloud.
  • Evaluate different cloud-hosted Kubernetes solutions and understand the advantages over an self-hosted approach.
  • Compare different tools for testing, managing, and monitoring a Kubernetes cluster.
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Monitoring Kubernetes with Prometheus

 7 Hours
This instructor-led, live training in San Francisco Bay Area (online or onsite) is aimed at system administrators and developers who wish to use Prometheus to monitor Kubernetes clusters. By the end of this training, participants will be able to:
  • Install and configure Prometheus.
  • Monitor dynamic cloud environments.
  • Gain better insight into their Kubernetes clusters.
  • Set up alerts that are precise and insightful.
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Kubernetes and Gitlab

 14 Hours
This instructor-led, live training in San Francisco Bay Area (online or onsite) is aimed at DevOps engineers who wish to use Kubernetes and Gitlab to automate the DevOps lifecycle. By the end of this training, participants will be able to:
  • Automate application builds, tests, and deployments.
  • Create an automated build infrastructure.
  • Deploy an application to a containerized cloud environment.
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Kubernetes Networking with Calico

 14 Hours
This instructor-led, live training in San Francisco Bay Area (online or onsite) is aimed at engineers who wish to optimize networking for Kubernetes clusters. By the end of this training, participants will be able to:
  • Install and configure Calico.
  • Understand how Calico differs from traditional overlay networks.
  • Understand how Calico combines internet routing protocols with consensus-based data stores.
  • Use Calico to create a container networking solution for Kubernetes clusters.
  • Use Calico to provide network policy for Kubernetes.
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Google Kubernetes Engine (GKE)

 14 Hours
In this instructor-led, live training in San Francisco Bay Area, participants will learn how to set up and manage a production-scale container environment using Kubernetes on Google Cloud.  By the end of this training, participants will be able to:
  • Configure and manage Kubernetes on Google Cloud.
  • Deploy, manage and scale a Kubernetes cluster.
  • Deploy containerized (Docker) applications on Google Cloud.
  • Migrate an existing Kubernetes environment from on-premise to Google Cloud.
  • Integrate Kubernetes with third-party continuous integration (CI) software.
  • Ensure high availability and disaster recovery in Kubernetes.
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OKD (Origin Kubernetes Distribution) for Administrators

 21 Hours
In this instructor-led, live training in San Francisco Bay Area (onsite or remote), participants will learn how to how to install, configure, and manage OKD on-premise or in the cloud. By the end of this training, participants will be able to:
  • Create, configure, manage, and troubleshoot an OKD cluster.
  • Secure OKD.
  • Deploy containerized applications on OKD.
  • Monitor the performance of an application running in OKD.
  • Manage data storage.
  • Quickly deploy applications on-premise or on a public cloud such as AWS.
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Kubernetes Security

 14 Hours
This instructor-led, live training in San Francisco Bay Area (online or onsite) is aimed at engineers who wish to secure a Kubernetes cluster beyond the default security settings. By the end of this training, participants will be able to:
  • Understand the vulnerabilities that are exposed by a default Kubernetes installation.
  • Prevent unauthenticated access to the Kubernetes API, database, and other services.
  • Protect a Kubernetes cluster from accidental or malicious access.
  • Put together a comprehensive security policy and set of best practices.
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Docker and Kubernetes on AWS

 21 Hours
This instructor-led, live training in (online or onsite) is aimed at engineers who wish to evaluate each of these services to make an informed decisions about which to deploy within their organization. By the end of this training, participants will be able to:
  • Set up a development environment that includes all needed libraries, packages and frameworks needed to start developing.
  • Set up, configure and deploy a series of demo containers using a number of different approaches.
  • Understand the architectural and design differences among different Docker/Kubernetes solutions within AWS.
  • Automate the deployment of Docker containers.
  • Set up a continuous integration and deployment pipeline.
  • Integrate Docker and Kubernetes into an existing continuous integration system.
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OKD (Origin Kubernetes Distribution) for Developers

 21 Hours
In this instructor-led, live training in San Francisco Bay Area (onsite or remote), participants will learn learn to create, update, and maintain containerized applications using OKD. By the end of this training, participants will be able to:
  • Deploy a containerized web application to an OKD cluster on-premise or in the cloud.
  • Automate part of the software delivery pipeline.
  • Apply the principles of the DevOps philosophy to ensure continuous delivery of an application.
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Kubernetes with Spinnaker

 14 Hours
This instructor-led, live training in San Francisco Bay Area (online or onsite) is aimed at cloud engineers who wish to use Kubernetes and Spinnaker for CI/CD operations. By the end of this training, participants will be able to:
  • Build on the Kubernetes platform to accelerate cloud targeted deployments.
  • Integrate Spinnaker with Docker and Git for automating code to pipelines.
  • Automate and manage CD pipelines with CI tool options.
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OpenShift 4 for Administrators

 35 Hours
In this instructor-led, live training in San Francisco Bay Area (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 cluster.
  • Implement Openshift'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.
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OpenShift 4 for Developers

 35 Hours
In this instructor-led, live training in San Francisco Bay Area (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.
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Introduction to MicroK8s

 14 Hours
This instructor-led, live training in San Francisco Bay Area (online or onsite) 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.
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GitOps Continuous Deployment for Kubernetes

 21 Hours
This instructor-led, live training in San Francisco Bay Area (online or onsite) is aimed at DevOps engineers who wish to set up, deploy and manage a Git-based software deployment workflow for their Kubernetes applications. By the end of this training, participants will be able to:
  • Install and configure Spinnaker and Terraform.
  • Understand the benefits of GitOps over traditional CI/CD and Infrastructure-as-Code (IAC).
  • Move away from maintaining scripts. Configure and execute well-defined deployment process.
  • Apply best practices for cloud-native deployment, management, and monitoring.
  • Recover deployments from partial failures without manual intervention.
  • Create a GitOps strategy for application development.
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K3s for Building Lightweight Kubernetes Clusters

 21 Hours
This instructor-led, live training in San Francisco Bay Area (online or onsite) is aimed at engineers who wish to deploy a lightweight Kubernetes cluster quickly and with minimum fuss for testing and as well as for full-blown deployment of containerized applications in a production environment. By the end of this training, participants will be able to:
  • Install and launch K3s in a fraction of the time it takes to launch a regular Kubernetes cluster.
  • Run a cluster on smaller devices with as little as 512MB of RAM.
  • Set up and run pods on the master as well as on nodes.
  • Use K3s as a staging cluster for rapid testing and development.
  • Use K3s to to build single-node and clustered edge environments.
  • Manage hundreds of micro-clusters using K3s.
Read more...

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Testimonials (12)

Interesting labs, help from trainer

Alexey - Tink Poland sp. z o. o.
Course - Certified Kubernetes Application Developer (CKAD) - exam preparation

the technical preparation of teachers

Giorgio - Asystel-BDF S.p.A.
Course - Creating a Service Mesh with Istio and Kubernetes

Trainer's high qulification. Although quite exhausting I enjoyed that there are a lot of examples and that it was possible to ask questions.

Roger - REGNOLOGY ROMANIA S.R.L.
Course - Docker and Kubernetes

The hands-on exercises were extremely important to consolidate learning. The in-depth explanation of how things work under the hood made everything clearer.

Otavio Marchioli dos Santos - ExitLag
Course - Kubernetes from Basic to Advanced

Machine Translated

The trainer Luc is fantastic, he has in-depth knowledge of the subject, a human approach and an ability to adapt to live needs.

Salim - LHH
Course - Certified Kubernetes Administrator (CKA) - exam preparation

Machine Translated

Hands on exercises

Tobias - Elisa Polystar
Course - Docker and Kubernetes: Building and Scaling a Containerized Application

Examples from real applications

Łukasz - Rossmann SDP Sp. z o.o.

Machine Translated

The availability of the virtual desktop as form of sandbox for the participants to tinker with is great!

Benedict - Questronix Corporation
Course - OpenShift 4 for Administrators

lots of extra tools

Adam - ENIGMA SOI SP. Z O.O.

Machine Translated

The explanation and background of each concept, to get a better understanding

Ron - BMW SA
Course - Kubernetes Advanced

Concepts learnt and how to set up the k8 clusters

Sekgwa Ramatshosa - Vodacom SA
Course - Kubernetes on AWS

Demos of working examples

Daniel Wegner - Fraunhofer IOSB
Course - Kubernetes and Gitlab

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