#introduction to openshift container platform

[codecraftshop]

Introduction to Openshift - Introduction to Openshift online cluster

Introduction to Openshift – Introduction to Openshift online cluster OpenShift is a platform-as-a-service (PaaS) offering from Red Hat. It provides a cloud-like environment for deploying, managing, and scaling applications in a secure and efficient manner. OpenShift uses containers to package and deploy applications, and it provides built-in tools for continuous integration, continuous delivery,…

[qcs01]

Red Hat Certified Specialist in OpenShift Automation and Integration

Introduction

In today's fast-paced IT environment, automation and integration are crucial for the efficient management of applications and infrastructure. OpenShift, Red Hat's enterprise Kubernetes platform, is at the forefront of this transformation, offering robust tools for container orchestration, application deployment, and continuous delivery. Earning the Red Hat Certified Specialist in OpenShift Automation and Integration credential demonstrates your ability to automate and integrate applications seamlessly within OpenShift, making you a valuable asset in the DevOps and cloud-native ecosystem.

What is the Red Hat Certified Specialist in OpenShift Automation and Integration?

This certification is designed for IT professionals who want to validate their skills in using Red Hat OpenShift to automate, configure, and manage application deployment and integration. The certification focuses on:

Automating tasks using OpenShift Pipelines.

Managing and integrating applications using OpenShift Service Mesh.

Implementing CI/CD processes.

Integrating OpenShift with other enterprise systems.

Why Pursue this Certification?

Industry Recognition

Red Hat certifications are well-respected in the IT industry. They provide a competitive edge in the job market, showcasing your expertise in Red Hat technologies.

Career Advancement

With the increasing adoption of Kubernetes and OpenShift, there is a high demand for professionals skilled in these technologies. This certification can lead to career advancement opportunities such as DevOps engineer, system administrator, and cloud architect roles.

Hands-on Experience

The certification exam is performance-based, meaning it tests your ability to perform real-world tasks. This hands-on experience is invaluable in preparing you for the challenges you'll face in your career.

Key Skills and Knowledge Areas

OpenShift Pipelines

Creating, configuring, and managing pipelines for CI/CD.

Automating application builds, tests, and deployments.

Integrating with Git repositories for source code management.

OpenShift Service Mesh

Implementing and managing service mesh for microservices communication.

Configuring traffic management, security, and observability.

Integrating with external services and APIs.

Automation with Ansible

Using Ansible to automate OpenShift tasks.

Writing playbooks and roles for OpenShift management.

Integrating Ansible with OpenShift Pipelines for end-to-end automation.

Integration with Enterprise Systems

Configuring OpenShift to work with enterprise databases, message brokers, and other services.

Managing and securing application data.

Implementing middleware solutions for seamless integration.

Exam Preparation Tips

Hands-on Practice

Set up a lab environment with OpenShift.

Practice creating and managing pipelines, service mesh configurations, and Ansible playbooks.

Red Hat Training

Enroll in Red Hat's official training courses.

Leverage online resources, labs, and documentation provided by Red Hat.

Study Groups and Forums

Join study groups and online forums.

Participate in discussions and seek advice from certified professionals.

Practice Exams

Take practice exams to familiarize yourself with the exam format and question types.

Focus on areas where you need improvement.

Conclusion

The Red Hat Certified Specialist in OpenShift Automation and Integration certification is a significant achievement for IT professionals aiming to excel in the fields of automation and integration within the OpenShift ecosystem. It not only validates your skills but also opens doors to numerous career opportunities in the ever-evolving world of DevOps and cloud-native applications.

Whether you're looking to enhance your current role or pivot to a new career path, this certification provides the knowledge and hands-on experience needed to succeed. Start your journey today and become a recognized expert in OpenShift automation and integration.

For more details click www.hawkstack.com 

[amritatechh]

Amrita Technologies - Red Hat OpenShift API Management

Introduction:

Red Hat Ansible Automation Platform is an all-encompassing system created to improve organizational automation. It offers a centralized control and management structure, making automated processes more convenient to coordinate and scale. Ansible playbooks can now be created and managed more easily with The Automation Platform’s web-based interface, which opens it up to a wider spectrum of IT specialists

Automation has emerged as the key to efficiency and scalability in today’s continuously changing IT landscape. Red Hat Ansible is one name that stands out in the automation field. An open-source automation tool called Red Hat Ansible, a Red Hat Automation Platform component optimizes operations and speeds up IT processes. In this blog, we will explore Red Hat Ansible’s world, examine its function in network automation, and highlight best practices for maximizing its potential.

Red hat ansible course:

Before we dig deeper into Red Hat Ansible’s capabilities, let’s first discuss the importance of proper training. Red Hat offers detailed instructions on every aspect of Ansible automation.These sessions are essential for IT professionals wanting to learn the tool. Enrolling in one of their courses will give you hands-on experience, expert guidance, and a solid understanding of how to use Red Hat Ansible.

Red hat ansible automation:

Automated Red Hat Ansible: The “Red Hat” Ansible’s process automation tools make it simpler for IT teams to scale and maintain their infrastructure. Administrators can concentrate on higher-value, more strategic duties since it makes mundane chores easier. YAML, a straightforward, human-readable automation language that is simple to read and write, is used by Ansible to do this. 

Red hat ansible for network automation:

Ansible for Red Hat to automate networks: Network automation is a critical demand for contemporary businesses. An important player in this sector, Red Hat Ansible, allows businesses to automate network setups, check the health of their networks, and react quickly to any network-related events. Network engineers can use Ansible to repeat and automate laborious tasks prone to human error

Red hat Ansible Network Automation Training:

Additional training is required to utilize Red Hat Ansible’s network automation capabilities properly. Red Hat provides instruction on networking automation procedures, network device configuration, and troubleshooting, among other things. This training equips IT specialists with the skills to design, implement, and manage network automation solutions effectively.

Red hat security: Securing container:

Security in the automation world is crucial, especially when working with sensitive data and important infrastructure. Red Hat Ansible’s automation workflows embrace security best practices. Therefore, security is ensured to be a priority rather than an afterthought throughout the procedure. Red Hat’s security ethos includes protecting containers frequently used in modern IT systems.Red hat ansible automation platform

Red Hat Ansible’s best practices include:

Now, let’s talk about how to use Red Hat Ansible effectively. These methods will help you leverage the advantages of your automation initiatives while maintaining a secure and productive workplace. Specify your infrastructure and configurations in code to embrace the idea of infrastructure as code. Infrastructure as code. As a result, managing the version of your infrastructure, testing it, and duplicating it as needed is easy.Red hat ansible automation platform

Utilising the concept of “modular playbooks,” dissect your Ansible playbooks into their component elements. As a result, they are more reusable and easier to maintain. Additionally, it enables team members to work together on various automated components. Maintaining inventory Keep an accurate inventory of your infrastructure. Ansible needs a trustworthy inventory to target hosts and finish tasks. In inventory management, automation can reduce human mistakes .RBAC (role-based access control) should be employed to restrict access to Ansible resources. By doing this, it is ensured that only individuals with the required authorizations may work.

Handling Error: Include error handling in your playbooks. Use Ansible’s built-in error-handling mechanisms to handle errors gently and generate meaningful error messages.Red hat ansible automation platform

Testing and Validation:

Always test your playbooks in a secure environment before using them in production. Utilize Ansible’s testing tools to confirm that your infrastructure is in the desired state. Verify your infrastructure is in the desired state using Ansible’s testing tools. Red hat ansible automation platform

Red Hat Ansible Best Practice’s for Advanced Automation:

Red Hat Ansible Best Practices for Advanced Automation: Consider these cutting-edge best practices to develop your automation: Implement dynamic inventories to find and add hosts to your inventory automatically. In dynamic cloud systems, this is especially useful. When existing Ansible modules do not satisfy your particular needs, create unique ones. Red Hat enables you to increase Ansible’s functionality to meet your requirements. Ansible can be integrated into your continuous integration/continuous deployment (CI/CD) pipeline to smoothly automate the deployment of apps and infrastructure modifications.Red hat ansible automation platform

Conclusion:

Red Hat Ansible is a potent automation tool that, particularly in the context of network automation, has the potential to alter how IT operations are managed profoundly. By enrolling in a Red Hat Ansible training course and adhering to best practices, you can fully utilize the possibilities of this technology to enhance security, streamline business processes, and increase productivity in your organization. In the digital age, when the IT landscape constantly changes, being agile and competitive means knowing Red Hat Ansible inside and out.

[datamattsson]

A Vagrant Story

Like everyone else I wish I had more time in the day. In reality, I want to spend more time on fun projects. Blogging and content creation has been a bit on a hiatus but it doesn't mean I have less things to write and talk about. In relation to this rambling I want to evangelize a tool I've been using over the years that saves an enormous amount of time if you're working in diverse sandbox development environments, Vagrant from HashiCorp.

Elevator pitch

Vagrant introduces a declarative model for virtual machines running in a development environment on your desktop. Vagrant supports many common type 2 hypervisors such as KVM, VirtualBox, Hyper-V and the VMware desktop products. The virtual machines are packaged in a format referred to as "boxes" and can be found on vagrantup.com. It's also quite easy to build your own boxes from scratch with another tool from HashiCorp called Packer. Trust me, if containers had not reached the mainstream adoption it has today, Packer would be a household tool. It's a blog post in itself for another day.

Real world use case

I got roped into a support case with a customer recently. They were using the HPE Nimble Storage Volume Plugin for Docker with a particular version of NimbleOS, Docker and docker-compose. The toolchain exhibited a weird behavior that would require two docker hosts and a few iterations to reproduce the issue. I had this environment stood up, diagnosed and replied to the support team with a customer facing response in less than an hour, thanks to Vagrant.

vagrant init

Let's elaborate on how to get a similar environment set up that I used in my support engagement off the ground. Let's assume vagrant and a supported type 2 hypervisor is installed. This example will work on Windows, Linux and Mac.

Create a new project folder and instantiate a new Vagrantfile. I use a collection of boxes built from these sources. Bento boxes provide broad coverage of providers and a variety of Linux flavors.

mkdir myproj && cd myproj vagrant init bento/ubuntu-20.04 A `Vagrantfile` has been placed in this directory. You are now ready to `vagrant up` your first virtual environment! Please read the comments in the Vagrantfile as well as documentation on `vagrantup.com` for more information on using Vagrant.

There's now a Vagrantfile in the current directory. There's a lot of commentary in the file to allow customization of the environment. It's possible to declare multiple machines in one Vagrantfile, but for the sake of an introduction, we'll explore setting up a single VM.

One of the more useful features is that Vagrant support "provisioners" that runs at first boot. It makes it easy to control the initial state and reproduce initialization with a few keystrokes. I usually write Ansible playbooks for more elaborate projects. For this exercise we'll use the inline shell provisioner to install and start docker.

Vagrant.configure("2") do |config| config.vm.box = "bento/ubuntu-20.04" config.vm.provision "shell", inline: <<-SHELL apt-get update apt-get install -y docker.io python3-pip pip3 install docker-compose usermod -a -G docker vagrant systemctl enable --now docker SHELL end

Prepare for very verbose output as we bring up the VM.

Note: The vagrant command always assumes working on the Vagrantfile in the current directory.

vagrant up

After the provisioning steps, a new VM is up and running from a thinly cloned disk of the source box. Initial download may take a while but the instance should be up in a minute or so.

Post-declaration tricks

There are some must-know Vagrant environment tricks that differentiate Vagrant from right-clicking in vCenter or fumbling in the VirtualBox UI.

SSH access

Accessing the shell of the VM can be done in two ways, most commonly is to simply do vagrant ssh and that will drop you at the prompt of the VM with the predefined user "vagrant". This method is not very practical if using other SSH-based tools like scp or doing advanced tunneling. Vagrant keeps track of the SSH connection information and have the capability to spit it out in a SSH config file and then the SSH tooling may reference the file. Example:

vagrant ssh-config > ssh-config ssh -F ssh-config default

Host shared directory

Inside the VM, /vagrant is shared with the host. This is immensely helpful as any apps your developing for the particular environment can be stored on the host and worked on from the convenience of your desktop. As an example, if I were to use the customer supplied docker-compose.yml and Dockerfile, I'd store those in /vagrant/app which in turn would correspond to my <current working directory for the project>/app.

Pushing and popping

Vagrant supports using the hypervisor snapshot capabilities. However, it does come with a very intuitive twist. Assume we want to store the initial boot state, let's push!

vagrant snapshot push ==> default: Snapshotting the machine as 'push_1590949049_3804'... ==> default: Snapshot saved! You can restore the snapshot at any time by ==> default: using `vagrant snapshot restore`. You can delete it using ==> default: `vagrant snapshot delete`.

There's now a VM snapshot of this environment (if it was a multi-machine setup, a snapshot would be created on all the VMs). The snapshot we took is now on top of the stack. Reverting to the top of the stack, simply pop back:

vagrant snapshot pop --no-delete ==> default: Forcing shutdown of VM... ==> default: Restoring the snapshot 'push_1590949049_3804'... ==> default: Checking if box 'bento/ubuntu-20.04' version '202004.27.0' is up to date... ==> default: Resuming suspended VM... ==> default: Booting VM... ==> default: Waiting for machine to boot. This may take a few minutes... default: SSH address: 127.0.0.1:2222 default: SSH username: vagrant default: SSH auth method: private key ==> default: Machine booted and ready! ==> default: Machine already provisioned. Run `vagrant provision` or use the `--provision` ==> default: flag to force provisioning. Provisioners marked to run always will still run.

You're now back to the previous state. The snapshot sub-command allows restoring to a particular snapshot and it's possible to have multiple states with sensible names too, if stepping through debugging scenarios or experimenting with named states.

Summary

These days there's a lot of compute and memory available on modern laptops and desktops. Why run development in the cloud or a remote DC when all you need is available right under your finger tips? Sure, you can't run a full blown OpenShift or HPE Container Platform but you can certainly run a representable Kubernetes clusters where minishift, microk8s and the likes won't work if you need access to the host OS (yes, I'm in the storage biz). In a recent personal project I've used this tool to simply make Kubernetes clusters with Vagrant. It works surprisingly well and allow a ton of customization.

Bonus trivia

Vagrant Story is a 20 year old videogame for PlayStation (one) from SquareSoft (now SquareEnix). It features a unique battle system I've never seen anywhere else to this day and it was one of those games I played back-to-back three times over. It's awesome. Check it out on Wikipedia.

[perfectirishgifts]

Kubernetes: What You Need To Know

New Post has been published on https://perfectirishgifts.com/kubernetes-what-you-need-to-know/

Kubernetes: What You Need To Know

Digital generated image of data.

Kubernetes is a system that helps with the deployment, scaling and management of containerized applications. Engineers at Google built it to handle the explosive workloads of the company’s massive digital platforms. Then in 2014, the company made Kubernetes available as open source, which significantly expanded the usage. 

Yes, the technology is complicated but it is also strategic. This is why it’s important for business people to have a high-level understanding of Kubernetes.

“Kubernetes is extended by an ecosystem of components and tools that relieve the burden of developing and running applications in public and private clouds,” said Thomas Di Giacomo, who is the Chief Technology and Product Officer at SUSE. “With this technology, IT teams can deploy and manage applications quickly and predictably, scale them on the fly, roll out new features seamlessly, and optimize hardware usage to required resources only. Because of what it enables, Kubernetes is going to be a major topic in boardroom discussions in 2021, as enterprises continue to adapt and modernize IT strategy to support remote workflows and their business.”

In fact, Kubernetes changes the traditional paradigm of application development. “The phrase ‘cattle vs. pets’ is often used to describe the way that using a container orchestration platform like Kubernetes changes the way that software teams think about and deal with the servers powering their applications,” said Phil Dougherty, who is the Senior Product Manager for the DigitalOcean App Platform for Kubernetes and Containers. “Teams no longer need to think about individual servers as having specific jobs, and instead can let Kubernetes decide which server in the fleet is the best location to place the workload. If a server fails, Kubernetes will automatically move the applications to a different, healthy server.”

There are certainly many use cases for Kubernetes. According to Brian Gracely, who is the Sr. Director of Product Strategy at Red Hat OpenShift, the technology has proven effective for:

 New, cloud-native microservice applications that change frequently and benefit from dynamic, cloud-like scaling.

The modernization of existing applications, such as putting them into containers to improve agility, combined with modern cloud application services.

The lift-and-shift of an existing application so as to reduce the cost or CPU overhead of virtualization.

Run most AI/ML frameworks.

Have a broad set of data-centric and security-centric applications that run in highly automated environments

Use the technology for edge computing (both for telcos and enterprises) when applications run on low-cost devices in containers.

Now all this is not to imply that Kubernetes is an elixir for IT. The technology does have its drawbacks.

“As the largest open-source platform ever, it is extremely powerful but also quite complicated,” said Mike Beckley, who is the Chief Technology Officer at Appian. “If companies think their private cloud efforts will suddenly go from failure to success because of Kubernetes, they are kidding themselves. It will be a heavy lift to simply get up-to-speed because most companies don’t have the skills, expertise and money for the transition.”

Even the setup of Kubernetes can be convoluted. “It can be difficult to configure for larger enterprises because of all the manual steps necessary for unique environments,” said Darien Ford, who is the Senior Director of Software Engineering at Capital One.

But over time, the complexities will get simplified. It’s the inevitable path of technology. And there will certainly be more investments from venture capitalists to build new tools and systems. 

“We are already seeing the initial growth curve of Kubernetes with managed platforms across all of the hyper scalers—like Google, AWS, Microsoft—as well as the major investments that VMware and IBM are making to address the hybrid multi-cloud needs of enterprise customers,” said Eric Drobisewski, who is the Senior Architect at Liberty Mutual Insurance. “With the large-scale adoption of Kubernetes and the thriving cloud-native ecosystem around it, the project has been guided and governed well by the Cloud Native Computing Foundation. This has ensured conformance across the multitude of Kubernetes providers. What comes next for Kubernetes will be the evolution to more distributed environments, such as through software defined networks, extended with 5G connectivity that will enable edge and IoT based deployments.”

Tom (@ttaulli) is an advisor/board member to startups and the author of Artificial Intelligence Basics: A Non-Technical Introduction and The Robotic Process Automation Handbook: A Guide to Implementing RPA Systems. He also has developed various online courses, such as for the COBOL and Python programming languages.

From Entrepreneurs in Perfectirishgifts

[chrisshort]

Editor's note: The article introduces Kubespray, a tool for deploying Kubernetes, which is the upstream container orchestration tool behind Red Hat's OpenShift container platform. For other ways to try Kubernetes and OpenShift, click here.

[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.

[rafi1228]

Get started with OpenShift quickly with lectures, demos, quizzes and hands-on coding exercises right in your browser

What you’ll learn

Deploy an Openshift Cluster

Deploy application on Openshift Cluster

Setup integration between Openshift and SCM

Create custom templates and catalog items in Openshift

Deploy Multiservices applications on Openshift

Requirements

Basic System Administration

Introduction to Containers (Not Mandatory as we cover this in this course)

Basics of Kubernetes (Not Mandatory as we cover this in this course)

Basics of Web Development – Simple Python web application

Description

Learn the fundamentals and basic concepts of OpenShift that you will need to build a simple OpenShift cluster and get started with deploying and managing Application.

Build a strong foundation in OpenShift and container orchestration with this tutorial for beginners.

Deploy OpenShift with Minishift

Understand Projects, Users

Understand Builds, Build Triggers, Image streams, Deployments

Understand Network, Services and Routes

Configure integration between OpenShift and GitLab SCM

Deploy a sample Multi-services application on OpenShift

A much required skill for any one in DevOps and Cloud Learning the fundamentals of OpenShift puts knowledge of a powerful PaaS offering at your fingertips. OpenShift is the next generation Application Hosting platform by Red Hat.

Content and Overview 

This course introduces OpenShift to an Absolute Beginner using really simple and easy to understand lectures. Lectures are followed by demos showing how to setup and get started with OpenShift. The coding exercises that accompany this course will help you practice OpenShift configuration files in YAML. You will be developing OpenShift Configuration Files for different use cases right in your browser. The coding exercises will validate your commands and Configuration Files and ensure you have written them correctly.

And finally we have assignments to put your skills to test. You will be given a challenge to solve using the skills you gained during this course. This is a great way to gain a real life project experience and work with the other students in the community to develop an OpenShift deployment and get feedback for your work. The assignment will push you to research and develop your own OpenShift Clusters.

Legal Notice:

Openshift and the OpenShift logo are trademarks or registered trademarks of Red Hat, Inc. in the United States and/or other countries. Re Hat, Inc. and other parties may also have trademark rights in other terms used herein. This course is not certified, accredited, affiliated with, nor endorsed by OpenShift or Red Hat, Inc.

Who this course is for:

System Administrators

Developers

Project Managers and Leadership

Cloud Administrators

Created by Mumshad Mannambeth Last updated 10/2018 English English

Size: 1.63 GB

   Download Now

https://ift.tt/39fbqsd.

The post OpenShift for the Absolute Beginners – Hands-on appeared first on Free Course Lab.

[codecraftshop]

Login to openshift cluster in different ways | openshift 4

There are several ways to log in to an OpenShift cluster, depending on your needs and preferences. Here are some of the most common ways to log in to an OpenShift 4 cluster: Using the Web Console: OpenShift provides a web-based console that you can use to manage your cluster and applications. To log in to the console, open your web browser and navigate to the URL for the console. You will be…

[qcs01]

The Future of Container Platforms: Where is OpenShift Heading?

Introduction

The container landscape has evolved significantly over the past few years, and Red Hat OpenShift has been at the forefront of this transformation. As organizations increasingly adopt containerization to enhance their DevOps practices and streamline application deployment, it's crucial to stay informed about where platforms like OpenShift are heading. In this post, we'll explore the future developments and trends in OpenShift, providing insights into how it's shaping the future of container platforms.

The Evolution of OpenShift

Red Hat OpenShift has grown from a simple Platform-as-a-Service (PaaS) solution to a comprehensive Kubernetes-based container platform. Its robust features, such as integrated CI/CD pipelines, enhanced security, and scalability, have made it a preferred choice for enterprises. But what does the future hold for OpenShift?

Trends Shaping the Future of OpenShift

Serverless Architectures

OpenShift is poised to embrace serverless computing more deeply. With the rise of Function-as-a-Service (FaaS) models, OpenShift will likely integrate serverless capabilities, allowing developers to run code without managing underlying infrastructure.

AI and Machine Learning Integration

As AI and ML continue to dominate the tech landscape, OpenShift is expected to offer enhanced support for these workloads. This includes better integration with data science tools and frameworks, facilitating smoother deployment and scaling of AI/ML models.

Multi-Cloud and Hybrid Cloud Deployments

OpenShift's flexibility in supporting multi-cloud and hybrid cloud environments will become even more critical. Expect improvements in interoperability and management across different cloud providers, enabling seamless application deployment and management.

Enhanced Security Features

With increasing cyber threats, security remains a top priority. OpenShift will continue to strengthen its security features, including advanced monitoring, threat detection, and automated compliance checks, ensuring robust protection for containerized applications.

Edge Computing

The growth of IoT and edge computing will drive OpenShift towards better support for edge deployments. This includes lightweight versions of OpenShift that can run efficiently on edge devices, bringing computing power closer to data sources.

Key Developments to Watch

OpenShift Virtualization

Combining containers and virtual machines, OpenShift Virtualization allows organizations to modernize legacy applications while leveraging container benefits. This hybrid approach will gain traction, providing more flexibility in managing workloads.

Operator Framework Enhancements

Operators have simplified application management on Kubernetes. Future enhancements to the Operator Framework will make it even easier to deploy, manage, and scale applications on OpenShift.

Developer Experience Improvements

OpenShift aims to enhance the developer experience by integrating more tools and features that simplify the development process. This includes better IDE support, streamlined workflows, and improved debugging tools.

Latest Updates and Features in OpenShift [Version]

Introduction

Staying updated with the latest features in OpenShift is crucial for leveraging its full potential. In this section, we'll provide an overview of the new features introduced in the latest OpenShift release, highlighting how they can benefit your organization.

Key Features of OpenShift [Version]

Enhanced Developer Tools

The latest release introduces new and improved developer tools, including better support for popular IDEs, enhanced CI/CD pipelines, and integrated debugging capabilities. These tools streamline the development process, making it easier for developers to build, test, and deploy applications.

Advanced Security Features

Security enhancements in this release include improved vulnerability scanning, automated compliance checks, and enhanced encryption for data in transit and at rest. These features ensure that your containerized applications remain secure and compliant with industry standards.

Improved Performance and Scalability

The new release brings performance optimizations that reduce resource consumption and improve application response times. Additionally, scalability improvements make it easier to manage large-scale deployments, ensuring your applications can handle increased workloads.

Expanded Ecosystem Integration

OpenShift [Version] offers better integration with a wider range of third-party tools and services. This includes enhanced support for monitoring and logging tools, as well as improved interoperability with other cloud platforms, making it easier to build and manage multi-cloud environments.

User Experience Enhancements

The latest version focuses on improving the user experience with a more intuitive interface, streamlined workflows, and better documentation. These enhancements make it easier for both new and experienced users to navigate and utilize OpenShift effectively.

Conclusion

The future of Red Hat OpenShift is bright, with exciting developments and trends on the horizon. By staying informed about these trends and leveraging the new features in the latest OpenShift release, your organization can stay ahead in the rapidly evolving container landscape. Embrace these innovations to optimize your containerized workloads and drive your digital transformation efforts.

For more details click www.hawkstack.com 

[isearchgoood]

December 02, 2019 at 10:00PM - AWS Solutions Architect Certification Bundle (97% discount) Ashraf

AWS Solutions Architect Certification Bundle (97% discount) Hurry Offer Only Last For HoursSometime. Don't ever forget to share this post on Your Social media to be the first to tell your firends. This is not a fake stuff its real.

With cloud computing, applications need to move around efficiently and run almost anywhere. In this course, you’ll learn how to create containerized applications with Docker that are lightweight and portable. You’ll get a comprehensive understanding of the subject and learn how to develop your own Docker containers.

Access 13 lectures & 4 hours of content 24/7

Install Docker on standard Linux or specialized container operating systems

Set up a private Docker Registry or use OpenShift Registry

Create, run, & investigate Docker images and containers

Pull & push containers between local systems and Docker registries

Integrate Docker containers w/ host networking and storage

Orchestrate multiple containers into complex applications with Kubernetes

Build a Docker container to simplify application deployment

Launch a containerized application in OpenShift

In this training, you’ll be introduced to some of the motivations behind microservices and how to properly containerize web applications using Docker. You’ll also get a quick overview of how Docker registries can help to store artifacts from your built images. Ultimately, by course’s end, you’ll have a strong understanding of modern containerized applications and microservices and how systems like Docker and Kubernetes can benefit them.

Access 9 lectures & 2 hours of content 24/7

Begin designing your web apps as microservices

Use Docker to containerize your microservices

Leverage modern Docker orchestration tools to aid in both developing & deploying your applications

Use Google’s container orchestration platform Kubernetes

Interpret the modern DevOps & container orchestration landscape

This course first covers the basics and rapid deployment capabilities of AWS to build a knowledge foundation for individuals who are brand new to cloud computing and AWS. You will explore the methods that AWS uses to secure its cloud services. You will learn how you, as an AWS customer, can have the most secure cloud solution possible for a wide variety of implementation scenarios. This course delves into the flexibility and agility needed to implement the most applicable security controls for your business functions in the AWS environment by deploying varying degrees of restrictive access to environments based on data sensitivity.

Access 10 lectures & 6.5 hours of content 24/7

Apply security concepts, models, & services in an AWS environment

Manage user account credentials & deploy AWS Identity and Access Management (IAM) to manage access to AWS services and resources securely

Protect your network through best practices using NACLs & security groups, as well as the security offered by AWS Web Application Firewall (WAF) and AWS Shield

Protect your data w/ IPsec, AWS Certificate Manager, AWS Key Management Services (KMS), AWS CloudHSM, & other key management approaches

Ensure that your AWS environment is secure through logging, monitoring, auditing, & reporting services available in AWS

This introduction to the leading cloud provider, Amazon Web Services (AWS), provides a solid foundational understanding of the AWS infrastructure-as-a-service products. You’ll cover concepts necessary to understand cloud computing platforms, working with virtual machines, storage in the cloud, security, high availability, and more. This course is a good secondary resource to help you study for the AWS Solutions Architect exam.

Access 11 lectures & 6 hours of content 24/7

Get an overview of AWS

Explore security, networking, & computing in AWS

Cover storage & databases in AWS

Understand developer & management tools

This course was specifically developed to help you pass the latest edition of the AWS Certified Solutions Architect Associate exam. This certification is ideal for anyone in a solutions architect or similar technical role. You’ll cover all the key areas addressed in the exam and review a number of use cases designed to help you gain an intellectual framework with which to formulate the correct answers.

Access 15 lectures & 6.5 hours of content 24/7

Design AWS environments to be highly-available, fault-tolerant, & self-healing

Design for cost, security, & performance

Leverage automation within AWS

Prepare for the AWS Certified Solutions Architect exam

This course is designed to help you understand Amazon Web Services at a high level, introduce you to cloud computing concepts and key AWS services, and prepare you for the AWS Certified Cloud Practitioner exam.

Access 9 lectures & 7 hours of content 24/7

Study to pass the Cloud Practitioner Certification exam

Cover fundamental concepts of AWS

Explore basic & advanced core services

Understand security in AWS, service pricing, cost management, & more

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[globalknowledgetechnologies]

OpenShift Container | OpenShift Kubernetes | DO180 | GKT

Course Description

Learn to build and manage containers for deployment on a Kubernetes and Red Hat OpenShift cluster

Introduction to Containers, Kubernetes, and Red Hat OpenShift (DO180) helps you build core knowledge in managing containers through hands-on experience with containers, Kubernetes, and the Red Hat® OpenShift® Container Platform. These skills are needed for multiple roles, including developers, administrators, and site reliability engineers.

This OpenShift Container, OpenShift Kubernetes course is based on Red Hat OpenShift Container Platform 4.2.

Objectives

Understand container and OpenShift architecture.

Create containerized services.

Manage containers and container images.

Create custom container images.

Deploy containerized applications on Red Hat OpenShift.

Deploy multi-container applications.

 Audience

Developers who wish to containerize software applications

Administrators who are new to container technology and container orchestration

Architects who are considering using container technologies in software architectures

Site reliability engineers who are considering using Kubernetes and Red Hat OpenShift

 Prerequisites

Be able to use a Linux terminal session, issue operating system commands, and be familiar with shell scripting

Have experience with web application architectures and their corresponding technologies

Being a Red Hat Certified System Administrator (RHCSA®) is recommended, but not required

 Content

Introduce container technology 

Create containerized services 

Manage containers 

Manage container images 

Create custom container images 

Deploy containerized applications on Red Hat OpenShift 

Deploy multi-container applications 

Troubleshoot containerized applications 

Comprehensive review of curriculum

 To know more visit, top IT Training provider Global Knowledge Technologies.

[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

[readyspace]

Rocket.Chat Ansible Playbook Bundle Development & Deployment Tutorial

Openshift is integrated with Cloud Infrastructure Server Cluster. Contact us to find out our latest offers! [small_space]

Introduction

In the “Up and Running with the OpenShift Ansible Broker” post by Jesus Rodriguez, we saw how you can leverage the OpenShift Ansible Broker to easily provision services on OpenShift Container Platform. In this post, we’re going to explore developing an Ansible…

[lbcybersecurity]

Container Security 2018: Securing Container Contents

Posted under: Research and Analysis

Testing the code and supplementary components which will execute within a container, and verifying that both conform to security and operational practices is core to any container security effort. One of the major advances over the last year or so is the introduction of security features for the software supply chain, from container engine providers like Docker, Rocket, OpenShift and so on. And we are seeing a number of third-party vendors help validate conatiner content both before and after deployment. Each of these solutions focus on slightly different threats to container construction; for example Docker provides tools to certify that a container has gone through your process without alteration through use of digital sigantures and container repositories. Third-party tools focus on security benefits outside of what the engine providers do, such as examining libraries for known flaws. So while things like process controls, digital signing services to verify chain of custody, and creation of a bill of materials based on known trusted libraries are all important, you’re going to need more than what is packaged with the base container management platforms. You will want to examine the third-party tools which help harden the container inputs, analyze resource usage, perform static code analysis, analyze the composition of libraries, and check against known malware signatures. In a nutshell, you’ll need to look for more that what comes with the base platform you choose.

Container Validation and Security Testing

Runtime User Credentials: We could go into great detail here about user IDs and Namespace views and resource allocation, but instead let’s focus on the most important thing: don’t run the container processes as root, as that provides attackers access to the underlying kernel and a path to attack other containers or the Docker engine itself. We recommend using specific user ID mappings with restricted permissions for each class of container. We understand that roles and permissions change over time, which requires some work to keep kernel views up to date, but this provides a failsafe to limit access to OS resources and virtualization features underlying the container engine.

Security Unit Tests: Unit tests are a great way to run focused test cases against specific modules of code — typically created as your development teams find security and other bugs — without needing to build the entire product every time. They cover things such as XSS and SQLi testing of known attacks against test systems. Additionally, the body of tests grows over time, providing a regression testbed to ensure that vulnerabilities do not creep back in. During our research we were surprised to learn that many teams run unit security tests from Jenkins. Even though most are moving to microservices, fully supported by containers, they find it easier to run these tests earlier in the cycle. We recommend unit tests somewhere in the build process to help validate the code in containers is secure.

Code Analysis: A number of third-party products perform automated binary and white box testing, rejecting the build if critical issues are discovered. We are also seeing several new tools that are plug-ins to common Integrated Development Environments (IDE), where code is checked for security issues prior to check-in. We recommend you implement some form of code scans to verify the code you build into containers is secure. Many newer tools have full RESTful API integration within the software delivery pipeline. These tests usually take a bit longer to run but still fit within a CI/CD deployment framework.

Composition Analysis: A useful security technique is to check libraries and supporting code against the CVE (Common Vulnerabilities and Exposures) database to determine whether you are using vulnerable code. Docker and a number of third parties – including some open source distributions – provide tools for checking common libraries against the CVE database, and they can be integrated into your build pipeline. Developers are not typically security experts, and new vulnerabilities are discovered in common tools weekly, so an independent checker to validate components of your container stack is both simple and essential.

Hardening: Over and above making sure what you use is free of known vulnerabilities, there are other tricks for securing containers before deployment. Hardening in this context is similar to OS hardenng (which we discuss in the following section); by removing libraries and unneeded packages to reduce attack surface. There are several ways to check for unused contents of the container, and then work with the Development team to remove items which are unused or unnecessary. Another approach to hardening is to check for hard-coded passwords, keys, or other sensitive items in the container — these breadcrumbs makes things easy for developers, but much easier for attackers. Some firms use manual scans for this, while others leverage tools to automate scanning.

Container Signing and Chain of Custody: How do you know where a container came from? Did it go through your build process? The problem here is what is called image to container drift, where unwanted additions are added to the image. You want to ensure that the entire process was followed, and that somewhere along the way some well-intentioned developer did not subvert the process with untested code. You accomplish this by creating a cryptographic digest of all image contents as a unique ID, and then track it though the lifecycle - ensuring that no unapproved images are run in the environment. Digests and digital fingerprints help you detect code changes and identify where the container came from. Some of the conatiner management platfroms provide tools to digitially fingerprint code at each phase of the development process, along with tools to validate the signature chain. But these capabilities are seldom used, and the platforms such as Docker make only optionally produce signatures. While the code should be checked prior to being placed into a registry or container library, the work of signing images and code modules happens during build. You will need to create specific keys for each phase of the build, sign code snippets on test completion but before code is sent on to the next step in the process, and — most importantly — keep these keys secured so attackers cannot create their own trusted code signatures. This gives you some assurance that the vetting process proceeded as intended.

Bill Of Materials: What’s in the container? What code is running in your production environment? How long ago did you build this container image? These are common questions when something goes awry. In case of container compromise, a very practical question is: how many containers are currently running this software bundle? One recommendation — especially for teams which don’t perform much code validation during the build process — is to leverage scanning tools to check pre-built containers for common vulnerabilities, malware, root account usage, bad libraries, and so on. If you keep containers around for weeks or months, it is entirely possible that a new vulnerability has since been discovered, so the container is now suspect. Second, we recommend using the Bill of Materials capabilities available in some scanning tools to catalog container contents. This helps you identify other potentially vulnerable containers, and to scope remediation efforts.

In the next section we will talk about how to proetct comtainers when they are in production.

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