#red hat introduction to openshift

[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.

[govindhtech]

Dominate NLP: Red Hat OpenShift & 5th Gen Intel Xeon Muscle

Using Red Hat OpenShift and 5th generation Intel Xeon Scalable Processors, Boost Your NLP Applications

Red Hat OpenShift AI

Her AI findings on OpenShift, where have been testing the new 5th generation Intel Xeon CPU, have really astonished us. Naturally, AI is a popular subject of discussion everywhere from the boardroom to the data center.

There is no doubt about the benefits: AI lowers expenses and increases corporate efficiency.

It facilitates the discovery of hitherto undiscovered insights in analytics and expands comprehension of business, enabling you to make more informed business choices more quickly than before.

Beyond only recognizing human voice for customer support, natural language processing (NLP) has become more valuable in business. These days, natural language processing (NLP) is utilized to improve machine translation, identify spam more accurately, enhance client Chatbot experiences, and even employ sentiment analysis to ascertain social media tone. It is expected to reach a worldwide market value of USD 80.68 billion by 2026 , and companies will need to support and grow with it quickly.

Her goal was to determine how Red Hat OpenShift‘s NLP AI workloads were affected by the newest 5th generation Intel Xeon Scalable processors.

The Support Red Hat OpenShift Provides for Your AI Foundation

Red Hat OpenShift is an application deployment, management, and scalability platform built on top of Kubernetes containerization technology. Applications become less dependent on one another as they transition to a containerized environment. This makes it possible for you to update and apply bug patches in addition to swiftly identifying, isolating, and resolving problems. In particular, for AI workloads like natural language processing, the containerized design lowers costs and saves time in maintaining the production environment. AI models may be designed, tested, and generated more quickly with the help of OpenShift’s supported environment. Red Hat OpenShift is the best option because of this.

The Intel AMX Modified the Rules

Intel released the Intel AMX, or fourth generation Intel Xeon Scalable CPU, almost a year ago. The CPU may optimize tasks related to deep learning and inferencing thanks to Intel AMX, an integrated accelerator.

The CPU can switch between AI workloads and ordinary computing tasks with ease thanks to Intel AMX compatibility. Significant performance gains were achieved with the introduction of Intel AMX on 4th generation Intel Xeon Scalable CPUs.

After Intel unveiled its 5th generation Intel Xeon Scalable CPU in December 2023, they set out to measure the extra value that this processor generation offers over its predecessor.

Because BERT-Large is widely utilized in many business NLP workloads, they explicitly picked it as deep learning model. With Red Hat OpenShift 4.13.2 for Inference, the graph below illustrates the performance gain of the 5th generation Intel Xeon 8568Y+ over the 4th generation Intel Xeon 8460+. The outcomes are Amazing These Intel Xeon Scalable 5th generation processors improved its predecessors in an assortment of remarkable ways.

Performing on OpenShift upon a 5th generation Intel Xeon Platinum 8568the value of Y+ with INT8 produces up to 1.3x improved natural-language processing inference capability (BERT-Large) than previous versions with Inverse.

OpenShift on a 5th generation Intel Xeon Platinum 8568Y with BF16 yields 1.37x greater Natural Language Processing inference performance (BERT-Large) compared to previous generations with BF16.

OpenShift on a 5th generation Intel Xeon Platinum 8568Y+ with FP32 yields 1.49x greater Natural Language Processing inference performance (BERT-Large) compared to previous generations with FP32.

They evaluated power usage as well, and the new 5th Generation has far greater performance per watt.

Natural Language Processing inference performance (BERT-Large) running on OpenShift on a 5th generation Intel Xeon Platinum 8568Y+ with INT8 has up to 1.22x perf/watt gain compared to previous generation with INT8.

Natural Language Processing inference performance (BERT-Large) running on OpenShift on a 5th generation Intel Xeon Platinum 8568Y+ with BF16 is up to 1.28x faster per watt than on a previous generation of processors with BF16.

Natural Language Processing inference performance (BERT-Large) running on OpenShift on a 5th generation Intel Xeon Platinum 8568Y+ with FP32 is up to 1.39 times faster per watt than it was on a previous generation with FP32.

Methodology of Testing

Using an Intel-optimized TensorFlow framework and a pre-trained NLP model from Intel AI Reference Models, the workload executed a BERT Large Natural Language Processing (NLP) inference job. With Red Hat OpenShift 4.13.13, it evaluates throughput and compares Intel Xeon 4th and 5th generation processor performance using the Stanford Question Answering Dataset.

FAQS:

What is OpenShift and why it is used?

Developing, deploying, and managing container-based apps is made easier with OpenShift. Faster development and release life cycles are made possible by the self-service platform it offers you to build, edit, and launch apps as needed. Consider pictures as molds for cookies, and containers as the cookies themselves.

What strategy was Red Hat OpenShift designed for?

Red Hat OpenShift makes hybrid infrastructure deployment and maintenance easier while giving you the choice of fully managed or self-managed services that may operate on-premise, in the cloud, or in hybrid settings.

Read more on Govindhetch.com

[black7375]

Docker 대신 PodMan 사용

혹시 podman 아시나요?

너.무.\귀.엽/.습.니다. ㅇㅅㅇ!! 

최근 도커 대신 팟맨 사용 중인데 상당히 마음에 들어서 간단히 정리해봤다. docker가 네이밍은 더 좋지만..

podman의 장점

도커 이미지, 명령어와 호환

데몬 미필요

Root 권한 필요없음:

쿠버네틱스 지원

도커는 Container Runtime Interface를 지원하지 않아 문제가 있어 deprecated 되었음

도커의 경우 데몬이 이미지를 중앙집중형으로 관리해 데몬이 정지/재시작되면 컨테이너들이 중지

팟맨은 fork/exec 방식으로 별도로 구동

도커의 중앙집중화된 데몬은 모든 권한이 집중되어 root 권한 또한 필요했다.

팟맨은 fork/exec 방식으로 필요한 경우와 아닌 경우를 나눌 수 있음

최근에는 crun이라 하여 runc 대체제도 나오는 듯

 An introduction to crun, a fast and low-memory footprint container runtime

팁

일반적인 명령어는 호환되나 일부 불편한 점은 도커 레포지토리에서 바로 받아지지 않는다는 점이다.

podman pull docker.io/<이미지이름>

요건 레지스트리에 등록해주면 끝.

# /etc/containers/registries.conf unqualified-search-registries = ["docker.io"] # 여러개 사용 예 unqualified-search-registries = ["registry.fedoraproject.org", "registry.access.redhat.com", "docker.io", "quay.io"]

pull 시 에러가 생길 경우에는 다음 명령어를 쳐보자

sudo touch /etc/sub{u,g}id sudo usermod --add-subuids 10000-75535 $(whoami) sudo usermod --add-subgids 10000-75535 $(whoami) rm /run/user/$(id -u)/libpod/pause.pid

한계?

Comparing Next-Generation Container Image Building Tools과 같은 문서를 보면 약간 buildkit에 비해 buildah(팟맨의 빌드도구)가 느려 아쉽긴 하다.

Using Podman with BuildKit, the better Docker image builder

Speeding Up Pulling Container Images on a Variety of Tools with eStargz

참고

OCI와 CRI 중심으로 재편되는 컨테이너 생태계: 흔들리는 도커(Docker)의 위상

podman 소개 및 설치

당황하지 마세요. 쿠버네티스와 도커

Podman and Buildah for Docker users

Using the CRI-O Container Engine Suggest an edit

Say “Hello” to Buildah, Podman, and Skopeo

Write once, run anywhere with multi-architecture CRI-O container images for Red Hat OpenShift

Series "Dockerless"

Container Runtime

[devopsengineer]

John willis devops

John willis devops John willis devops New John willis devops Introduction to DevSecOps by John Willis (Red Hat) – OpenShift Commons Briefing December 12, 2019 | by Diane Mueller In this briefing, DevSecOps expert, John Willis, Senior Director, Global Transformation Office at Red Hat gives an introduction to DevSecOps and a brief history of the origins of the topics. Why traditional DevOps has…

[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

[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 

[datamattsson]

Red Hat Summit ‘19

Another Red Hat Summit in the books. I think this was my third or fourth in the order and completely out of order. My Linux life began with Red Hat Linux 4.2 over 20 years ago. I had a stint of Slackware and later transitioned over to Fedora when they restructured the outputs. I even took a RHCE (Red Hat Certified Engineer) exam on Red Hat Linux 8.0. I later refreshed that on Red Hat Advanced Server 2.1, what eventually become RHEL at 3.0. So, I was relevant with Red Hat for quite some time in my early sysadmin days.

Anyhow, this year’s summit was jammed-packed with session but I had too much booth duty to enjoy any of it. See this as a wrap-up from a lurker on the ecosystem expo floor.

New use case clip

Our social media guru Stephane captured me doing a brief talk about lift & transform on the bridge across the ecosystem expo hall.

Announcements

Tuesday night was the intro keynote. I was out in the expo hall and somehow the audio was terrible. Later that turned out to be case for the folks in the live audience as well. During one of our customer’s talks they had to swap out the mic during the keynote.

Jim and Ginni had a little fireside chat about their crusade to embrace open source to drive innovation. I did not quite catch the full context but Satya Nadella showed up and chatted up Jim with a partnership around Azure. I can only imagine that Red Hat wants some of that developer love that Microsoft is shedding left, right and center.

The big news was that RHEL 8.0 hit GA which has been in beta since late last year. I was going to make an attempt to summarize the new features but I will run out of breath quickly. Head over to the official documentation and gasp at that long, long list of new features. Although, I can’t wait to create that 1PiB XFS volume!

Next up was the OpenShift 4.0 release that “soon” will become available. I wrote a post on this subject a few weeks ago but what also has become available is the ability to install on bare-metal besides the AWS open developer preview. That said, I can’t wait to get back to the ranch and kick the tires. Unfortunately, I missed the release party because we had our own event.

Customer appreciation event

We got spoiled by the #HPERedHat partnership by getting a tour of the legendary Fenway Park in Boston. I’m not a baseball fan by any means but I do appreciate the history that the stadium represent. I only had a brief visit at this event as I had the graveyard shift on the show floor combined with an Uber driver who took two laps around downtown before dropping me off on the opposite side of the stadium entrance. Whiskey tasting and socializing with customers was the primary agenda and mission accomplished!

In-booth talks

When this event was starting to form, I had the idea of submitting a handful of talks and maybe one or two get picked to be presented. Nope. Big Nope! I got all four, scheduled twice. Stephane captured a few minutes of one here and you can check out the topics here (unfortunately I can’t share the decks):

Introduction to HPE Nimble Storage with Red Hat OpenShift

Red Hat OpenShift and HPE Cloud Volumes: A perfect match made in the public cloud

Instantly clone production data to use in CI/CD pipelines with Red Hat OpenShift

Best practices for stateful workloads on Red Hat OpenShift using SAN storage

The crowd at Red Hat Summit was amazing, couldn't do it without them!

Summary

I hope I get to do this next year again. I’d be more careful about submitting abstracts for the in-booth talks though and I'll sharpen an even better talk for the CFP. An upgraded pass to attend a few sessions would be nice too. 😉

Great customer conversations! Great partner conversations! I have a long list of things to follow up on, but before that, I’m going to enjoy a weekend in Boston with my wife. I think it was over ten years ago I was here, the skyline has changed, I’ve noticed that much.

And to close, there is no “i” in team! Awesome job everyone who supported the show!

Random pictures scattered on my phone

Enjoy!

[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.

[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.

[galactissolutions]

DO180 : Introduction to Containers, Kubernetes, and Red Hat OpenShift, malaysia

DO180 : Introduction to Containers, Kubernetes, and Red Hat OpenShift, malaysia

DO180 : Introduction to Containers, Kubernetes, and Red Hat OpenShift, malaysia 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®…

[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.

[codecraftshop]

Overview of openshift online cluster in detail

OpenShift Online Cluster is a cloud-based platform for deploying and managing containerized applications. It is built on top of Kubernetes and provides a range of additional features and tools to help you develop, deploy, and manage your applications with ease. Here is a more detailed overview of the key features of OpenShift Online Cluster: Easy Deployment: OpenShift provides a web-based…