#openshift deploy docker image command line

[qcs01]

Deploying a Containerized Application with Red Hat OpenShift

Introduction

In this post, we'll walk through the process of deploying a containerized application using Red Hat OpenShift, a powerful Kubernetes-based platform for managing containerized workloads.

What is Red Hat OpenShift?

Red Hat OpenShift is an enterprise Kubernetes platform that provides developers with a full set of tools to build, deploy, and manage applications. It integrates DevOps automation tools to streamline the development lifecycle.

Prerequisites

Before we begin, ensure you have the following:

A Red Hat OpenShift cluster

Access to the OpenShift command-line interface (CLI)

A containerized application (Docker image)

Step 1: Setting Up Your OpenShift Environment

First, log in to your OpenShift cluster using the CLI:

oc login https://your-openshift-cluster:6443

Step 2: Creating a New Project

Create a new project for your application:

oc new-project my-app

Step 3: Deploying Your Application

Deploy your Docker image using the oc new-app command:

oc new-app my-docker-image

Step 4: Exposing Your Application

Expose your application to create a route and make it accessible:

oc expose svc/my-app

Use Cases

OpenShift is ideal for deploying microservices architectures, CI/CD pipelines, and scalable web applications. Here are a few scenarios where OpenShift excels.

Best Practices

Use health checks to ensure your applications are running smoothly.

Implement resource quotas to prevent any single application from consuming too many resources.

Performance and Scalability

To optimize performance, consider using horizontal pod autoscaling. This allows OpenShift to automatically adjust the number of pods based on CPU or memory usage.

Security Considerations

Ensure your images are scanned for vulnerabilities before deployment. OpenShift provides built-in tools for image scanning and compliance checks.

Troubleshooting

If you encounter issues, check the logs of your pods:

oc logs pod-name

Conclusion

Deploying applications with Red Hat OpenShift is straightforward and powerful. By following best practices and utilizing the platform's features, you can ensure your applications are scalable, secure, and performant.

[codecraftshop]

Deploy application in openshift using container images

Deploy application in openshift using container images

#openshift #containerimages #openshift # openshift4 #containerization

Deploy container app using OpenShift Container Platform running on-premises,openshift deploy docker image cli,openshift deploy docker image command line,how to deploy docker image in openshift,how to deploy image in openshift,deploy image in openshift,deploy…

[swarnalata31techiio]

A brief overview of Jenkins X

What is Jenkins X?

Jenkins X is an open-source solution that provides automatic seamless integration and continuous distribution (CI / CD) and automated testing tools for cloud-native applications in Cubernet. It supports all major cloud platforms such as AWS, Google Cloud, IBM Cloud, Microsoft Azure, Red Hat OpenShift, and Pivotal. Jenkins X is a Jenkins sub-project (more on this later) and employs automation, DevOps best practices and tooling to accelerate development and improve overall CI / CD.  

Features of Jenkins X

Automated CI /CD:

Jenkins X offers a sleek jx command-line tool, which allows Jenkins X to be installed inside an existing or new Kubernetes cluster, import projects, and bootstrap new applications. Additionally, Jenkins X creates pipelines for the project automatically.

Environment Promotion via GitOps:

Jenkins X allows for the creation of different virtual environments for development, staging, and production, etc. using the Kubernetes Namespaces. Every environment gets its specific configuration, list of versioned applications and configurations stored in the Git repository. You can automatically promote new versions of applications between these environments if you follow GitOps practices. Moreover, you can also promote code from one environment to another manually and change or configure new environments as needed.

Extensions:

It is quite possible to create extensions to Jenkins X. An extension is nothing but a code that runs at specific times in the CI/CD process. You can also provide code through an extension that runs when the extension is installed, uninstalled, as well as before and after each pipeline.

Serverless Jenkins:

Instead of running the Jenkins web application, which continually consumes a lot of CPU and memory resources, you can run Jenkins only when you need it. During the past year, the Jenkins community has created a version of Jenkins that can run classic Jenkins pipelines via the command line with the configuration defined by code instead of the usual HTML forms.

Preview Environments:

Though the preview environment can be created manually, Jenkins X automatically creates Preview Environments for each pull request. This provides a chance to see the effect of changes before merging them. Also, Jenkins X adds a comment to the Pull Request with a link for the preview for team members.

How Jenkins X works?

The developer commits and pushes the change to the project’s Git repository.

JX is notified and runs the project’s pipeline in a Docker image. This includes the project’s language and supporting frameworks.

The project pipeline builds, tests, and pushes the project’s Helm chart to Chart Museum and its Docker image to the registry.

The project pipeline creates a PR with changes needed to add the project to the staging environment.

Jenkins X automatically merges the PR to Master.

Jenkins X is notified and runs the staging pipeline.

The staging pipeline runs Helm, which deploys the environment, pulling Helm charts from Chart Museum and Docker images from the Docker registry. Kubernetes creates the project’s resources, typically a pod, service, and ingress.

[dmroyankita]

What is Kubernetes?

Kubernetes (also known as k8s or “kube”) is an open source container orchestration platform that automates many of the manual processes involved in deploying, managing, and scaling containerized applications.

 In other words, you can cluster together groups of hosts running Linux containers, and Kubernetes helps you easily and efficiently manage those clusters.

 Kubernetes clusters can span hosts across on-premise, public, private, or hybrid clouds. For this reason, Kubernetes is an ideal platform for hosting cloud-native applications that require rapid scaling, like real-time data streaming through Apache Kafka.

 Kubernetes was originally developed and designed by engineers at Google. Google was one of the early contributors to Linux container technology and has talked publicly about how everything at Google runs in containers. (This is the technology behind Google’s cloud services.)

 Google generates more than 2 billion container deployments a week, all powered by its internal platform, Borg. Borg was the predecessor to Kubernetes, and the lessons learned from developing Borg over the years became the primary influence behind much of Kubernetes technology.

 Fun fact: The 7 spokes in the Kubernetes logo refer to the project’s original name, “Project Seven of Nine.”

 Red Hat was one of the first companies to work with Google on Kubernetes, even prior to launch, and has become the 2nd leading contributor to the Kubernetes upstream project. Google donated the Kubernetes project to the newly formed Cloud Native Computing Foundation (CNCF) in 2015.

 Get an introduction to enterprise Kubernetes

What can you do with Kubernetes?

 The primary advantage of using Kubernetes in your environment, especially if you are optimizing app dev for the cloud, is that it gives you the platform to schedule and run containers on clusters of physical or virtual machines (VMs).

 More broadly, it helps you fully implement and rely on a container-based infrastructure in production environments. And because Kubernetes is all about automation of operational tasks, you can do many of the same things other application platforms or management systems let you do—but for your containers.

 Developers can also create cloud-native apps with Kubernetes as a runtime platform by using Kubernetes patterns. Patterns are the tools a Kubernetes developer needs to build container-based applications and services.

 With Kubernetes you can:

 Orchestrate containers across multiple hosts.

Make better use of hardware to maximize resources needed to run your enterprise apps.

Control and automate application deployments and updates.

Mount and add storage to run stateful apps.

Scale containerized applications and their resources on the fly.

Declaratively manage services, which guarantees the deployed applications are always running the way you intended them to run.

Health-check and self-heal your apps with autoplacement, autorestart, autoreplication, and autoscaling.

However, Kubernetes relies on other projects to fully provide these orchestrated services. With the addition of other open source projects, you can fully realize the power of Kubernetes. These necessary pieces include (among others):

 Registry, through projects like Atomic Registry or Docker Registry

Networking, through projects like OpenvSwitch and intelligent edge routing

Telemetry, through projects such as Kibana, Hawkular, and Elastic

Security, through projects like LDAP, SELinux, RBAC, and OAUTH with multitenancy layers

Automation, with the addition of Ansible playbooks for installation and cluster life cycle management

Services, through a rich catalog of popular app patterns

Get an introduction to Linux containers and container orchestration technology. In this on-demand course, you’ll learn about containerizing applications and services, testing them using Docker, and deploying them on a Kubernetes cluster using Red Hat® OpenShift®.

 Start the free training course

Learn to speak Kubernetes

As is the case with most technologies, language specific to Kubernetes can act as a barrier to entry. Let's break down some of the more common terms to help you better understand Kubernetes.

 Master: The machine that controls Kubernetes nodes. This is where all task assignments originate.

 Node: These machines perform the requested, assigned tasks. The Kubernetes master controls them.

 Pod: A group of one or more containers deployed to a single node. All containers in a pod share an IP address, IPC, hostname, and other resources. Pods abstract network and storage from the underlying container. This lets you move containers around the cluster more easily.

 Replication controller: This controls how many identical copies of a pod should be running somewhere on the cluster.

 Service: This decouples work definitions from the pods. Kubernetes service proxies automatically get service requests to the right pod—no matter where it moves in the cluster or even if it’s been replaced.

 Kubelet: This service runs on nodes, reads the container manifests, and ensures the defined containers are started and running.

 kubectl: The command line configuration tool for Kubernetes.

 How does Kubernetes work?

Kubernetes diagram

A working Kubernetes deployment is called a cluster. You can visualize a Kubernetes cluster as two parts: the control plane, which consists of the master node or nodes, and the compute machines, or worker nodes.

 Worker nodes run pods, which are made up of containers. Each node is its own Linux® environment, and could be either a physical or virtual machine.

 The master node is responsible for maintaining the desired state of the cluster, such as which applications are running and which container images they use. Worker nodes actually run the applications and workloads.

 Kubernetes runs on top of an operating system (Red Hat® Enterprise Linux®, for example) and interacts with pods of containers running on the nodes.

 The Kubernetes master node takes the commands from an administrator (or DevOps team) and relays those instructions to the subservient nodes.

 This handoff works with a multitude of services to automatically decide which node is best suited for the task. It then allocates resources and assigns the pods in that node to fulfill the requested work.

 The desired state of a Kubernetes cluster defines which applications or other workloads should be running, along with which images they use, which resources should be made available to them, and other such configuration details.

 From an infrastructure point of view, there is little change to how you manage containers. Your control over containers just happens at a higher level, giving you better control without the need to micromanage each separate container or node.

 Some work is necessary, but it’s mostly a matter of assigning a Kubernetes master, defining nodes, and defining pods.

 Where you run Kubernetes is up to you. This can be on bare metal servers, virtual machines, public cloud providers, private clouds, and hybrid cloud environments. One of Kubernetes’ key advantages is it works on many different kinds of infrastructure.

 Learn about the other components of a Kubernetes architecture

What about Docker?

Docker can be used as a container runtime that Kubernetes orchestrates. When Kubernetes schedules a pod to a node, the kubelet on that node will instruct Docker to launch the specified containers.

 The kubelet then continuously collects the status of those containers from Docker and aggregates that information in the master. Docker pulls containers onto that node and starts and stops those containers.

 The difference when using Kubernetes with Docker is that an automated system asks Docker to do those things instead of the admin doing so manually on all nodes for all containers.

 Why do you need Kubernetes?

Kubernetes can help you deliver and manage containerized, legacy, and cloud-native apps, as well as those being refactored into microservices.

 In order to meet changing business needs, your development team needs to be able to rapidly build new applications and services. Cloud-native development starts with microservices in containers, which enables faster development and makes it easier to transform and optimize existing applications.

 Production apps span multiple containers, and those containers must be deployed across multiple server hosts. Kubernetes gives you the orchestration and management capabilities required to deploy containers, at scale, for these workloads.

 Kubernetes orchestration allows you to build application services that span multiple containers, schedule those containers across a cluster, scale those containers, and manage the health of those containers over time. With Kubernetes you can take effective steps toward better IT security.

 Kubernetes also needs to integrate with networking, storage, security, telemetry, and other services to provide a comprehensive container infrastructure.

 Kubernetes explained - diagram

Once you scale this to a production environment and multiple applications, it's clear that you need multiple, colocated containers working together to deliver the individual services.

 Linux containers give your microservice-based apps an ideal application deployment unit and self-contained execution environment. And microservices in containers make it easier to orchestrate services, including storage, networking, and security.

 This significantly multiplies the number of containers in your environment, and as those containers accumulate, the complexity also grows.

 Kubernetes fixes a lot of common problems with container proliferation by sorting containers together into ”pods.” Pods add a layer of abstraction to grouped containers, which helps you schedule workloads and provide necessary services—like networking and storage—to those containers.

 Other parts of Kubernetes help you balance loads across these pods and ensure you have the right number of containers running to support your workloads.

 With the right implementation of Kubernetes—and with the help of other open source projects like Atomic Registry, Open vSwitch, heapster, OAuth, and SELinux— you can orchestrate all parts of your container infrastructure.

 Use case: Building a cloud platform to offer innovative banking services

Emirates NBD, one of the largest banks in the United Arab Emirates (UAE), needed a scalable, resilient foundation for digital innovation. The bank struggled with slow provisioning and a complex IT environment. Setting up a server could take 2 months, while making changes to large, monolithic applications took more than 6 months.

 Using Red Hat OpenShift Container Platform for container orchestration, integration, and management, the bank created Sahab, the first private cloud run at scale by a bank in the Middle East. Sahab provides applications, systems, and other resources for end-to-end development—from provisioning to production—through an as-a-Service model.

 With its new platform, Emirates NBD improved collaboration between internal teams and with partners using application programming interfaces (APIs) and microservices. And by adopting agile and DevOps development practices, the bank reduced app launch and update cycles.

 Read the full case study

Support a DevOps approach with Kubernetes

Developing modern applications requires different processes than the approaches of the past. DevOps speeds up how an idea goes from development to deployment.

 At its core, DevOps relies on automating routine operational tasks and standardizing environments across an app’s lifecycle. Containers support a unified environment for development, delivery, and automation, and make it easier to move apps between development, testing, and production environments.

 A major outcome of implementing DevOps is a continuous integration and continuous deployment pipeline (CI/CD). CI/CD helps you deliver apps to customers frequently and validate software quality with minimal human intervention.

 Managing the lifecycle of containers with Kubernetes alongside a DevOps approach helps to align software development and IT operations to support a CI/CD pipeline.

 With the right platforms, both inside and outside the container, you can best take advantage of the culture and process changes you’ve implemented.

 Learn more about how to implement a DevOps approach

Using Kubernetes in production

Kubernetes is open source and as such, there’s not a formalized support structure around that technology—at least not one you’d trust your business to run on.[Source]-https://www.redhat.com/en/topics/containers/what-is-kubernetes

Basic & Advanced Kubernetes Certification using cloud computing, AWS, Docker etc. in Mumbai. Advanced Containers Domain is used for 25 hours Kubernetes Training.

[faizrashis1995]

What is Kubernetes?

The primary advantage of using Kubernetes in your environment, especially if you are optimizing app dev for the cloud, is that it gives you the platform to schedule and run containers on clusters of physical or virtual machines (VMs).

 More broadly, it helps you fully implement and rely on a container-based infrastructure in production environments. And because Kubernetes is all about automation of operational tasks, you can do many of the same things other application platforms or management systems let you do—but for your containers.

 Developers can also create cloud-native apps with Kubernetes as a runtime platform by using Kubernetes patterns. Patterns are the tools a Kubernetes developer needs to build container-based applications and services.

 With Kubernetes you can:

 Orchestrate containers across multiple hosts.

Make better use of hardware to maximize resources needed to run your enterprise apps.

Control and automate application deployments and updates.

Mount and add storage to run stateful apps.

Scale containerized applications and their resources on the fly.

Declaratively manage services, which guarantees the deployed applications are always running the way you intended them to run.

Health-check and self-heal your apps with autoplacement, autorestart, autoreplication, and autoscaling.

However, Kubernetes relies on other projects to fully provide these orchestrated services. With the addition of other open source projects, you can fully realize the power of Kubernetes. These necessary pieces include (among others):

 Registry, through projects like Atomic Registry or Docker Registry

Networking, through projects like OpenvSwitch and intelligent edge routing

Telemetry, through projects such as Kibana, Hawkular, and Elastic

Security, through projects like LDAP, SELinux, RBAC, and OAUTH with multitenancy layers

Automation, with the addition of Ansible playbooks for installation and cluster life cycle management

Services, through a rich catalog of popular app patterns

Get an introduction to Linux containers and container orchestration technology. In this on-demand course, you’ll learn about containerizing applications and services, testing them using Docker, and deploying them on a Kubernetes cluster using Red Hat® OpenShift®.

 Start the free training course

Learn to speak Kubernetes

As is the case with most technologies, language specific to Kubernetes can act as a barrier to entry. Let's break down some of the more common terms to help you better understand Kubernetes.

 Master: The machine that controls Kubernetes nodes. This is where all task assignments originate.

 Node: These machines perform the requested, assigned tasks. The Kubernetes master controls them.

 Pod: A group of one or more containers deployed to a single node. All containers in a pod share an IP address, IPC, hostname, and other resources. Pods abstract network and storage from the underlying container. This lets you move containers around the cluster more easily.

 Replication controller: This controls how many identical copies of a pod should be running somewhere on the cluster.

 Service: This decouples work definitions from the pods. Kubernetes service proxies automatically get service requests to the right pod—no matter where it moves in the cluster or even if it’s been replaced.

 Kubelet: This service runs on nodes, reads the container manifests, and ensures the defined containers are started and running.

 kubectl: The command line configuration tool for Kubernetes.

 How does Kubernetes work?

Kubernetes diagram

A working Kubernetes deployment is called a cluster. You can visualize a Kubernetes cluster as two parts: the control plane, which consists of the master node or nodes, and the compute machines, or worker nodes.

 Worker nodes run pods, which are made up of containers. Each node is its own Linux® environment, and could be either a physical or virtual machine.

 The master node is responsible for maintaining the desired state of the cluster, such as which applications are running and which container images they use. Worker nodes actually run the applications and workloads.

 Kubernetes runs on top of an operating system (Red Hat® Enterprise Linux®, for example) and interacts with pods of containers running on the nodes.

 The Kubernetes master node takes the commands from an administrator (or DevOps team) and relays those instructions to the subservient nodes.

 This handoff works with a multitude of services to automatically decide which node is best suited for the task. It then allocates resources and assigns the pods in that node to fulfill the requested work.

 The desired state of a Kubernetes cluster defines which applications or other workloads should be running, along with which images they use, which resources should be made available to them, and other such configuration details.

 From an infrastructure point of view, there is little change to how you manage containers. Your control over containers just happens at a higher level, giving you better control without the need to micromanage each separate container or node.

 Some work is necessary, but it’s mostly a matter of assigning a Kubernetes master, defining nodes, and defining pods.

 Where you run Kubernetes is up to you. This can be on bare metal servers, virtual machines, public cloud providers, private clouds, and hybrid cloud environments. One of Kubernetes’ key advantages is it works on many different kinds of infrastructure.

 Learn about the other components of a Kubernetes architecture

What about Docker?

Docker can be used as a container runtime that Kubernetes orchestrates. When Kubernetes schedules a pod to a node, the kubelet on that node will instruct Docker to launch the specified containers.

 The kubelet then continuously collects the status of those containers from Docker and aggregates that information in the master. Docker pulls containers onto that node and starts and stops those containers.

 The difference when using Kubernetes with Docker is that an automated system asks Docker to do those things instead of the admin doing so manually on all nodes for all containers.

 Why do you need Kubernetes?

Kubernetes can help you deliver and manage containerized, legacy, and cloud-native apps, as well as those being refactored into microservices.

 In order to meet changing business needs, your development team needs to be able to rapidly build new applications and services. Cloud-native development starts with microservices in containers, which enables faster development and makes it easier to transform and optimize existing applications.

 Production apps span multiple containers, and those containers must be deployed across multiple server hosts. Kubernetes gives you the orchestration and management capabilities required to deploy containers, at scale, for these workloads.

 Kubernetes orchestration allows you to build application services that span multiple containers, schedule those containers across a cluster, scale those containers, and manage the health of those containers over time. With Kubernetes you can take effective steps toward better IT security.

 Kubernetes also needs to integrate with networking, storage, security, telemetry, and other services to provide a comprehensive container infrastructure.

 Kubernetes explained - diagram

Once you scale this to a production environment and multiple applications, it's clear that you need multiple, colocated containers working together to deliver the individual services.

 Linux containers give your microservice-based apps an ideal application deployment unit and self-contained execution environment. And microservices in containers make it easier to orchestrate services, including storage, networking, and security.

 This significantly multiplies the number of containers in your environment, and as those containers accumulate, the complexity also grows.

 Kubernetes fixes a lot of common problems with container proliferation by sorting containers together into ”pods.” Pods add a layer of abstraction to grouped containers, which helps you schedule workloads and provide necessary services—like networking and storage—to those containers.

 Other parts of Kubernetes help you balance loads across these pods and ensure you have the right number of containers running to support your workloads.

 With the right implementation of Kubernetes—and with the help of other open source projects like Atomic Registry, Open vSwitch, heapster, OAuth, and SELinux— you can orchestrate all parts of your container infrastructure.

 Use case: Building a cloud platform to offer innovative banking services

Emirates NBD, one of the largest banks in the United Arab Emirates (UAE), needed a scalable, resilient foundation for digital innovation. The bank struggled with slow provisioning and a complex IT environment. Setting up a server could take 2 months, while making changes to large, monolithic applications took more than 6 months.

 Using Red Hat OpenShift Container Platform for container orchestration, integration, and management, the bank created Sahab, the first private cloud run at scale by a bank in the Middle East. Sahab provides applications, systems, and other resources for end-to-end development—from provisioning to production—through an as-a-Service model.

 With its new platform, Emirates NBD improved collaboration between internal teams and with partners using application programming interfaces (APIs) and microservices. And by adopting agile and DevOps development practices, the bank reduced app launch and update cycles.

 Read the full case study

Support a DevOps approach with Kubernetes

Developing modern applications requires different processes than the approaches of the past. DevOps speeds up how an idea goes from development to deployment.

 At its core, DevOps relies on automating routine operational tasks and standardizing environments across an app’s lifecycle. Containers support a unified environment for development, delivery, and automation, and make it easier to move apps between development, testing, and production environments.

 A major outcome of implementing DevOps is a continuous integration and continuous deployment pipeline (CI/CD). CI/CD helps you deliver apps to customers frequently and validate software quality with minimal human intervention.

 Managing the lifecycle of containers with Kubernetes alongside a DevOps approach helps to align software development and IT operations to support a CI/CD pipeline.

 With the right platforms, both inside and outside the container, you can best take advantage of the culture and process changes you’ve implemented.[Source]-https://www.redhat.com/en/topics/containers/what-is-kubernetes

 Basic & Advanced Kubernetes Certification using cloud computing, AWS, Docker etc. in Mumbai. Advanced Containers Domain is used for 25 hours Kubernetes Training.

[asrarmukadamworld-blog]

10 Free Courses to Learn Docker for Programmers

Here is my list of some of the best, free courses to learn Docker in 2019. They are an excellent resource for both beginners and experienced developers.

 1. Docker Essentials

 If you have heard all the buzz around Docker and containers and are wondering what they are and how to get started using them, then this course is for you.

 In this course, you will learn how to install Docker, configure it for use on your local system, clone and work with Docker images, instantiate containers, mount host volumes, redirect ports and understand how to manage images and containers.

After completing the course you should be able to implement containers in your projects/environment while having a firm understanding of their use cases, both for and against.

In short, one of the best course for developers and DevOps Engineers who want to learn basics, like what Docker containers are and how to use them in their environment.

 2. Understanding Docker and using it for Selenium Automation

 This is another good course to learn and understand the basics of Docker while automating Selenium test cases for your project.

The course is specially designed for DevOps engineers, automation guys, testers, and developers.

The course is divided into three main parts: Introduction of Docker, Docker Compose, and Selenium Grid with Docker.

 The three sections are independent of each other and you can learn than in parallel or switch back and forth.

   3. Docker for Beginners

 This is one of the best sources to learn the big picture of Docker and containerization. If you know a little bit about virtualization, networking, and cloud computing, then you can join this course.

 It provides a good introduction to current software development trend and what problems Docker solves.

In short, this is a good course for Software and IT architects, Programmers, IT administrator and anyone who want to understand the role of Docker in current world application development.

4. Containers 101

 Docker and containers are a whole new way of developing and delivering applications and IT infrastructure.

 This course will cover Docker and containers, container registries, container orchestration, understand if this will work for the enterprise, and how to prepare yourself for it.

In short, a good course for anyone who wants to get up to speed with containers and Docker.

 5. Docker Swarm: Native Docker Clustering

 Managing Docker at scale is the next challenge facing IT. This course, Docker Swarm: Native Docker Clustering will teach you everything you need to know about Docker Swarm, the native solution for managing Docker environments at scale.

 It’s a good course for Developers, Networking Teams, DevOps Engineers, and Networking infrastructure teams.

This was a paid course earlier on Udemy, but it’s free for a limited time. Join this course before it becomes paid again.

6. Docker Course Made for Developers

 Whether or not you’re a Developer, anyone who works with code or servers will boost their productivity with Docker’s open app-building platform.

 In this course, you will learn how to use the Docker products, like Docker Toolbox, Docker Client, Docker Machine, Docker Compose, Kinematic, and Docker Cloud.

You will also learn how to work with images and containers, how to get your project running, and how to push it to the cloud, among other important lessons.

7. Docker on Windows 10 and Server 2016

 If you are thinking to learn how to use Docker on Windows 10 and Windows Server 2016 then this is the right course for you.

 In this course, you will understand what Docker On Windows is all about and how Docker on Windows is the same as Linux Containers.

You will also learn Hyper-V, namespace isolation and server containers in depth.

8. Deploying Containerized Applications Technical Overview

 Docker has become the de facto standard for defining and running containers in the Linux operating system. Kubernetes is Red Hat’s choice for container orchestration.

 OpenShift, built upon Docker, Kubernetes, and other open source software projects, provides Platform-as-a-Service (PaaS) for the ultimate in deploying applications within containers.

This is an Official Red Hat course about containers using Docker running on Red Hat Enterprise Linux.

In this course, Jim Rigsbee, a curriculum architect for Red Hat Training, will introduce you to container technology using Docker running on Red Hat Enterprise Linux

 9. Docker Deep Dive

 As the title suggests this is a great course to learn Docker in depth. It provides a good experience for core Docker technologies, including the Docker Engine, Images, Containers, Registries, Networking, Storage, and more.

 You will also learn theory and all concepts are clearly demonstrated on the command line.

And the best part of this course is that no prior knowledge of Docker or Linux is required.

10. Docker and Containers

 In this course, you’ll learn how this is going to impact you as an individual as well as the teams and organizations you work for.

This course will cover Docker and containers, container registries, container orchestration, whether this stuff is for the enterprise, and how to prepare yourself for it.

 These two courses from Pluralsight are not really free; you need a Pluarlsight membership to get this course, and monthly membership costs around $29 and annual membership cost around $299.

 I know, we all love free stuff, but you will not only get access to this course but over 5000 courses as well, so it’s definitely the money well spent.

I have an annual membership because I have to learn a lot of new stuff all the times. Even if you are not a member, you can get this course for free by signing a free trial. Pluralsight provides 10-day free trial with no obligation.

That’s all about some of the free Docker container courses for Java developers. It’s one of the essential skill if you are developing a mobile application or web application hence, I suggest every application developer learn Docker in 2019. You will not only learn an essential skill but also take your career to the next level, given the high demand for Docker specialist and developer who knows Docker.

[Source] https://hackernoon.com/10-free-courses-to-learn-docker-for-programmers-and-devops-engineers-7ff2781fd6e0

Beginners & Advanced level Docker Training Course in Mumbai. Asterix Solution's 25 Hour Docker Training gives broad hands-on practicals

[codecraftshop]

Deploy application in openshift using container images#openshift #containerimages #openshift # openshift4 #containerization Deploy container app using OpenShift Container Platform running on-premises,openshift deploy docker image cli,openshift deploy docker image command line,how to deploy docker image in openshift,how to deploy image in openshift,deploy image in openshift,deploy image into openshift,Deploy application in openshift using container images,openshift container platform,openshift tutorial,red hat openshift,openshift,kubernetes,openshift 4,red hat,redhat openshift online https://www.youtube.com/channel/UCnIp4tLcBJ0XbtKbE2ITrwA?sub_confirmation=1&app=desktop About: 00:00 Deploy application in openshift using container images In this course we will learn about deploying an application from container images to openshift / openshift 4 online cluster in different ways. First method is to use the webconsole to deploy application using docker container images. Second way is to login through OC openshift cluster command line tool for windows and through oc command we can deploy the container image to openshift cluster. Openshift/ Openshift4 a cloud based container to build deploy test our application on cloud. In the next videos we will explore Openshift4 in detail. Commands Used: Image to be deployed: openshiftkatacoda/blog-django-py oc get all -o name :-This will return all the resources we have in the project oc describe route/blog-django-py :-This will give us the details of the route that has been created. Through this route or url we can access the application externally. oc get all --selector app=blog-django-py -o name :-This will select only the resources with the label app=blog-django-py . By default openshift automatically applies the label app=blog-django-py to all the resources of the application. oc delete all --selector app=blog-django-py :-This will delete the application and the related resources having label app= app=blog-django-py oc get all -o name :-This get the list of all the available resources. oc new-app --search openshiftkatacoda/blog-django-py oc new-app openshiftkatacoda/blog-django-py :-This command will create / deploy the image in openshift container. oc new-app openshiftkatacoda/blog-django-py -o name blog :-This command will create / deploy the image in openshift container with custom name oc expose service/blog-django-py :-This will expose the service to the external world so that it can be accessed globally. oc get route/blog-django-py --- this will give the url of the application that we have deployed. certification,OpenShift workflow,openshift tutorial,ci cd pipeline,ci cd devops,openshift container platform,ci cd openshift,openshift installation,Getting Started with OpenShift,OpenShift for the Absolute Beginners,Get started with RedHat OpenShift https://www.facebook.com/codecraftshop/ https://t.me/codecraftshop/ Please do like and subscribe to my you tube channel "CODECRAFTSHOP" Follow us on facebook | instagram | twitter at @CODECRAFTSHOP . -~-~~-~~~-~~-~- Please watch: "Install hyperv on windows 10 - how to install, setup & enable hyper v on windows hyper-v" https://www.youtube.com/watch?v=KooTCqf07wk -~-~~-~~~-~~-~-

[codecraftshop]

Deploy application in openshift using container imagesOpenshift 4 is latest devops technology which can benefit the enterprise in a lot of ways. Build development and deployment can be automated using Openshift 4 platform. Features for autoscaling , microservices architecture and lot more features. So please like watch subscribe my channel for the latest videos. #Deploy #application #openshift #container #images #openshift # openshift4 #containerization #cloud #online #container #kubernetes #docker #automation #redhatopenshift #openshifttutorial #openshiftonline, Deploy container app using OpenShift Container Platform running on-premises,how to deploy node js application in openshift,openshift deploy docker image cli,openshift deploy docker image command line,how to deploy docker image in openshift,how to deploy image in openshift,deploy image in openshift,deploy image into openshift,Deploy application in openshift using container images,openshift container platform,openshift tutorial,red hat openshift,openshift,kubernetes https://www.youtube.com/channel/UCnIp4tLcBJ0XbtKbE2ITrwA?sub_confirmation=1&app=desktop About: 00:00 Deploy application in openshift using container images In this course we will learn about deploying an application from container images to openshift / openshift 4 online cluster in different ways. First method is to use the webconsole to deploy application using docker container images. Second way is to login through OC openshift cluster command line tool for windows and through oc command we can deploy the container image to openshift cluster. Openshift/ Openshift4 a cloud based container to build deploy test our application on cloud. In the next videos we will explore Openshift4 in detail. Commands Used: Image to be deployed: openshiftkatacoda/blog-django-py oc get all -o name :-This will return all the resources we have in the project oc describe route/blog-django-py :-This will give us the details of the route that has been created. Through this route or url we can access the application externally. oc get all --selector app=blog-django-py -o name :-This will select only the resources with the label app=blog-django-py . By default openshift automatically applies the label app=blog-django-py to all the resources of the application. oc delete all --selector app=blog-django-py :-This will delete the application and the related resources having label app= app=blog-django-py oc get all -o name :-This get the list of all the available resources. oc new-app --search openshiftkatacoda/blog-django-py oc new-app openshiftkatacoda/blog-django-py :-This command will create / deploy the image in openshift container. oc new-app openshiftkatacoda/blog-django-py -o name blog :-This command will create / deploy the image in openshift container with custom name oc expose service/blog-django-py :-This will expose the service to the external world so that it can be accessed globally. oc get route/blog-django-py --- this will give the url of the application that we have deployed. certification,OpenShift workflow,openshift tutorial,ci cd pipeline,ci cd devops,openshift container platform,ci cd openshift,openshift installation,Getting Started with OpenShift,OpenShift for the Absolute Beginners,Get started with RedHat OpenShift https://www.facebook.com/codecraftshop/ https://t.me/codecraftshop/ Please do like and subscribe to my you tube channel "CODECRAFTSHOP" Follow us on facebook | instagram | twitter at @CODECRAFTSHOP . -~-~~-~~~-~~-~- Please watch: "Install hyperv on windows 10 - how to install, setup & enable hyper v on windows hyper-v" https://www.youtube.com/watch?v=KooTCqf07wk -~-~~-~~~-~~-~-

[codecraftshop]

Deploy application in openshift using container imagesOpenshift 4 is latest devops technology which can benefit the enterprise in a lot of ways. Build development and deployment can be automated using Openshift 4 platform. Features for autoscaling , microservices architecture and lot more features. So please like watch subscribe my channel for the latest videos. #Deploy #application #openshift #container #images #openshift # openshift4 #containerization #cloud #online #container #kubernetes #docker #automation #redhatopenshift #openshifttutorial #openshiftonline, Deploy container app using OpenShift Container Platform running on-premises,how to deploy node js application in openshift,openshift deploy docker image cli,openshift deploy docker image command line,how to deploy docker image in openshift,how to deploy image in openshift,deploy image in openshift,deploy image into openshift,Deploy application in openshift using container images,openshift container platform,openshift tutorial,red hat openshift,openshift,kubernetes https://www.youtube.com/channel/UCnIp4tLcBJ0XbtKbE2ITrwA?sub_confirmation=1&app=desktop About: 00:00 Deploy application in openshift using container images In this course we will learn about deploying an application from container images to openshift / openshift 4 online cluster in different ways. First method is to use the webconsole to deploy application using docker container images. Second way is to login through OC openshift cluster command line tool for windows and through oc command we can deploy the container image to openshift cluster. Openshift/ Openshift4 a cloud based container to build deploy test our application on cloud. In the next videos we will explore Openshift4 in detail. Commands Used: Image to be deployed: openshiftkatacoda/blog-django-py oc get all -o name :-This will return all the resources we have in the project oc describe route/blog-django-py :-This will give us the details of the route that has been created. Through this route or url we can access the application externally. oc get all --selector app=blog-django-py -o name :-This will select only the resources with the label app=blog-django-py . By default openshift automatically applies the label app=blog-django-py to all the resources of the application. oc delete all --selector app=blog-django-py :-This will delete the application and the related resources having label app= app=blog-django-py oc get all -o name :-This get the list of all the available resources. oc new-app --search openshiftkatacoda/blog-django-py oc new-app openshiftkatacoda/blog-django-py :-This command will create / deploy the image in openshift container. oc new-app openshiftkatacoda/blog-django-py -o name blog :-This command will create / deploy the image in openshift container with custom name oc expose service/blog-django-py :-This will expose the service to the external world so that it can be accessed globally. oc get route/blog-django-py --- this will give the url of the application that we have deployed. certification,OpenShift workflow,openshift tutorial,ci cd pipeline,ci cd devops,openshift container platform,ci cd openshift,openshift installation,Getting Started with OpenShift,OpenShift for the Absolute Beginners,Get started with RedHat OpenShift https://www.facebook.com/codecraftshop/ https://t.me/codecraftshop/ Please do like and subscribe to my you tube channel "CODECRAFTSHOP" Follow us on facebook | instagram | twitter at @CODECRAFTSHOP . -~-~~-~~~-~~-~- Please watch: "Install hyperv on windows 10 - how to install, setup & enable hyper v on windows hyper-v" https://www.youtube.com/watch?v=KooTCqf07wk -~-~~-~~~-~~-~-

[codecraftshop]

Deploy application in openshift using container imagesOpenshift 4 is latest devops technology which can benefit the enterprise in a lot of ways. Build development and deployment can be automated using Openshift 4 platform. Features for autoscaling , microservices architecture and lot more features. So please like watch subscribe my channel for the latest videos. #Deploy #application #openshift #container #images #openshift # openshift4 #containerization #cloud #online #container #kubernetes #docker #automation #redhatopenshift #openshifttutorial #openshiftonline, Deploy container app using OpenShift Container Platform running on-premises,how to deploy node js application in openshift,openshift deploy docker image cli,openshift deploy docker image command line,how to deploy docker image in openshift,how to deploy image in openshift,deploy image in openshift,deploy image into openshift,Deploy application in openshift using container images,openshift container platform,openshift tutorial,red hat openshift,openshift,kubernetes https://www.youtube.com/channel/UCnIp4tLcBJ0XbtKbE2ITrwA?sub_confirmation=1&app=desktop About: 00:00 Deploy application in openshift using container images In this course we will learn about deploying an application from container images to openshift / openshift 4 online cluster in different ways. First method is to use the webconsole to deploy application using docker container images. Second way is to login through OC openshift cluster command line tool for windows and through oc command we can deploy the container image to openshift cluster. Openshift/ Openshift4 a cloud based container to build deploy test our application on cloud. In the next videos we will explore Openshift4 in detail. Commands Used: Image to be deployed: openshiftkatacoda/blog-django-py oc get all -o name :-This will return all the resources we have in the project oc describe route/blog-django-py :-This will give us the details of the route that has been created. Through this route or url we can access the application externally. oc get all --selector app=blog-django-py -o name :-This will select only the resources with the label app=blog-django-py . By default openshift automatically applies the label app=blog-django-py to all the resources of the application. oc delete all --selector app=blog-django-py :-This will delete the application and the related resources having label app= app=blog-django-py oc get all -o name :-This get the list of all the available resources. oc new-app --search openshiftkatacoda/blog-django-py oc new-app openshiftkatacoda/blog-django-py :-This command will create / deploy the image in openshift container. oc new-app openshiftkatacoda/blog-django-py -o name blog :-This command will create / deploy the image in openshift container with custom name oc expose service/blog-django-py :-This will expose the service to the external world so that it can be accessed globally. oc get route/blog-django-py --- this will give the url of the application that we have deployed. certification,OpenShift workflow,openshift tutorial,ci cd pipeline,ci cd devops,openshift container platform,ci cd openshift,openshift installation,Getting Started with OpenShift,OpenShift for the Absolute Beginners,Get started with RedHat OpenShift https://www.facebook.com/codecraftshop/ https://t.me/codecraftshop/ Please do like and subscribe to my you tube channel "CODECRAFTSHOP" Follow us on facebook | instagram | twitter at @CODECRAFTSHOP . -~-~~-~~~-~~-~- Please watch: "Install hyperv on windows 10 - how to install, setup & enable hyper v on windows hyper-v" https://www.youtube.com/watch?v=KooTCqf07wk -~-~~-~~~-~~-~-