#red hat introduction to openshift

[seodigital7]

Hybrid Cloud Application: The Smart Future of Business IT

Introduction

In today’s digital-first environment, businesses are constantly seeking scalable, flexible, and cost-effective solutions to stay competitive. One solution that is gaining rapid traction is the hybrid cloud application model. Combining the best of public and private cloud environments, hybrid cloud applications enable businesses to maximize performance while maintaining control and security.

This 2000-word comprehensive article on hybrid cloud applications explains what they are, why they matter, how they work, their benefits, and how businesses can use them effectively. We also include real-user reviews, expert insights, and FAQs to help guide your cloud journey.

What is a Hybrid Cloud Application?

A hybrid cloud application is a software solution that operates across both public and private cloud environments. It enables data, services, and workflows to move seamlessly between the two, offering flexibility and optimization in terms of cost, performance, and security.

For example, a business might host sensitive customer data in a private cloud while running less critical workloads on a public cloud like AWS, Azure, or Google Cloud Platform.

Key Components of Hybrid Cloud Applications

Public Cloud Services – Scalable and cost-effective compute and storage offered by providers like AWS, Azure, and GCP.

Private Cloud Infrastructure – More secure environments, either on-premises or managed by a third-party.

Middleware/Integration Tools – Platforms that ensure communication and data sharing between cloud environments.

Application Orchestration – Manages application deployment and performance across both clouds.

Why Choose a Hybrid Cloud Application Model?

1. Flexibility

Run workloads where they make the most sense, optimizing both performance and cost.

2. Security and Compliance

Sensitive data can remain in a private cloud to meet regulatory requirements.

3. Scalability

Burst into public cloud resources when private cloud capacity is reached.

4. Business Continuity

Maintain uptime and minimize downtime with distributed architecture.

5. Cost Efficiency

Avoid overprovisioning private infrastructure while still meeting demand spikes.

Real-World Use Cases of Hybrid Cloud Applications

1. Healthcare

Protect sensitive patient data in a private cloud while using public cloud resources for analytics and AI.

2. Finance

Securely handle customer transactions and compliance data, while leveraging the cloud for large-scale computations.

3. Retail and E-Commerce

Manage customer interactions and seasonal traffic spikes efficiently.

4. Manufacturing

Enable remote monitoring and IoT integrations across factory units using hybrid cloud applications.

5. Education

Store student records securely while using cloud platforms for learning management systems.

Benefits of Hybrid Cloud Applications

Enhanced Agility

Better Resource Utilization

Reduced Latency

Compliance Made Easier

Risk Mitigation

Simplified Workload Management

Tools and Platforms Supporting Hybrid Cloud

Microsoft Azure Arc – Extends Azure services and management to any infrastructure.

AWS Outposts – Run AWS infrastructure and services on-premises.

Google Anthos – Manage applications across multiple clouds.

VMware Cloud Foundation – Hybrid solution for virtual machines and containers.

Red Hat OpenShift – Kubernetes-based platform for hybrid deployment.

Best Practices for Developing Hybrid Cloud Applications

Design for Portability Use containers and microservices to enable seamless movement between clouds.

Ensure Security Implement zero-trust architectures, encryption, and access control.

Automate and Monitor Use DevOps and continuous monitoring tools to maintain performance and compliance.

Choose the Right Partner Work with experienced providers who understand hybrid cloud deployment strategies.

Regular Testing and Backup Test failover scenarios and ensure robust backup solutions are in place.

Reviews from Industry Professionals

Amrita Singh, Cloud Engineer at FinCloud Solutions:

"Implementing hybrid cloud applications helped us reduce latency by 40% and improve client satisfaction."

John Meadows, CTO at EdTechNext:

"Our LMS platform runs on a hybrid model. We’ve achieved excellent uptime and student experience during peak loads."

Rahul Varma, Data Security Specialist:

"For compliance-heavy environments like finance and healthcare, hybrid cloud is a no-brainer."

Challenges and How to Overcome Them

1. Complex Architecture

Solution: Simplify with orchestration tools and automation.

2. Integration Difficulties

Solution: Use APIs and middleware platforms for seamless data exchange.

3. Cost Overruns

Solution: Use cloud cost optimization tools like Azure Advisor, AWS Cost Explorer.

4. Security Risks

Solution: Implement multi-layered security protocols and conduct regular audits.

FAQ: Hybrid Cloud Application

Q1: What is the main advantage of a hybrid cloud application?

A: It combines the strengths of public and private clouds for flexibility, scalability, and security.

Q2: Is hybrid cloud suitable for small businesses?

A: Yes, especially those with fluctuating workloads or compliance needs.

Q3: How secure is a hybrid cloud application?

A: When properly configured, hybrid cloud applications can be as secure as traditional setups.

Q4: Can hybrid cloud reduce IT costs?

A: Yes. By only paying for public cloud usage as needed, and avoiding overprovisioning private servers.

Q5: How do you monitor a hybrid cloud application?

A: With cloud management platforms and monitoring tools like Datadog, Splunk, or Prometheus.

Q6: What are the best platforms for hybrid deployment?

A: Azure Arc, Google Anthos, AWS Outposts, and Red Hat OpenShift are top choices.

Conclusion: Hybrid Cloud is the New Normal

The hybrid cloud application model is more than a trend—it’s a strategic evolution that empowers organizations to balance innovation with control. It offers the agility of the cloud without sacrificing the oversight and security of on-premises systems.

If your organization is looking to modernize its IT infrastructure while staying compliant, resilient, and efficient, then hybrid cloud application development is the way forward.

At diglip7.com, we help businesses build scalable, secure, and agile hybrid cloud solutions tailored to their unique needs. Ready to unlock the future? Contact us today to get started.

[hawkstack]

Creating and Configuring Production ROSA Clusters (CS220) – A Practical Guide

Introduction

Red Hat OpenShift Service on AWS (ROSA) is a powerful managed Kubernetes solution that blends the scalability of AWS with the developer-centric features of OpenShift. Whether you're modernizing applications or building cloud-native architectures, ROSA provides a production-grade container platform with integrated support from Red Hat and AWS. In this blog post, we’ll walk through the essential steps covered in CS220: Creating and Configuring Production ROSA Clusters, an instructor-led course designed for DevOps professionals and cloud architects.

What is CS220?

CS220 is a hands-on, lab-driven course developed by Red Hat that teaches IT teams how to deploy, configure, and manage ROSA clusters in a production environment. It is tailored for organizations that are serious about leveraging OpenShift at scale with the operational convenience of a fully managed service.

Why ROSA for Production?

Deploying OpenShift through ROSA offers multiple benefits:

Streamlined Deployment: Fully managed clusters provisioned in minutes.

Integrated Security: AWS IAM, STS, and OpenShift RBAC policies combined.

Scalability: Elastic and cost-efficient scaling with built-in monitoring and logging.

Support: Joint support model between AWS and Red Hat.

Key Concepts Covered in CS220

Here’s a breakdown of the main learning outcomes from the CS220 course:

1. Provisioning ROSA Clusters

Participants learn how to:

Set up required AWS permissions and networking pre-requisites.

Deploy clusters using Red Hat OpenShift Cluster Manager (OCM) or CLI tools like rosa and oc.

Use STS (Short-Term Credentials) for secure cluster access.

2. Configuring Identity Providers

Learn how to integrate Identity Providers (IdPs) such as:

GitHub, Google, LDAP, or corporate IdPs using OpenID Connect.

Configure secure, role-based access control (RBAC) for teams.

3. Networking and Security Best Practices

Implement private clusters with public or private load balancers.

Enable end-to-end encryption for APIs and services.

Use Security Context Constraints (SCCs) and network policies for workload isolation.

4. Storage and Data Management

Configure dynamic storage provisioning with AWS EBS, EFS, or external CSI drivers.

Learn persistent volume (PV) and persistent volume claim (PVC) lifecycle management.

5. Cluster Monitoring and Logging

Integrate OpenShift Monitoring Stack for health and performance insights.

Forward logs to Amazon CloudWatch, ElasticSearch, or third-party SIEM tools.

6. Cluster Scaling and Updates

Set up autoscaling for compute nodes.

Perform controlled updates and understand ROSA’s maintenance policies.

Use Cases for ROSA in Production

Modernizing Monoliths to Microservices

CI/CD Platform for Agile Development

Data Science and ML Workflows with OpenShift AI

Edge Computing with OpenShift on AWS Outposts

Getting Started with CS220

The CS220 course is ideal for:

DevOps Engineers

Cloud Architects

Platform Engineers

Prerequisites: Basic knowledge of OpenShift administration (recommended: DO280 or equivalent experience) and a working AWS account.

Course Format: Instructor-led (virtual or on-site), hands-on labs, and guided projects.

Final Thoughts

As more enterprises adopt hybrid and multi-cloud strategies, ROSA emerges as a strategic choice for running OpenShift on AWS with minimal operational overhead. CS220 equips your team with the right skills to confidently deploy, configure, and manage production-grade ROSA clusters — unlocking agility, security, and innovation in your cloud-native journey.

Want to Learn More or Book the CS220 Course? At HawkStack Technologies, we offer certified Red Hat training, including CS220, tailored for teams and enterprises. Contact us today to schedule a session or explore our Red Hat Learning Subscription packages. www.hawkstack.com

[qcs01]

Top Trends in Enterprise IT Backed by Red Hat

Introduction:

In the rapidly evolving landscape of enterprise IT, staying ahead of the curve is crucial for businesses to remain competitive. Red Hat, a leading provider of open-source solutions, plays a significant role in shaping these trends. This blog post will explore some of the top trends in enterprise IT backed by Red Hat, including:

1. Hybrid Cloud Computing:

What it is: A cloud computing environment that combines on-premises infrastructure with public cloud services.

Red Hat's role: Red Hat offers a wide range of hybrid cloud solutions, including Red Hat OpenShift, a container platform that can run anywhere.

Benefits: Flexibility, scalability, cost optimization, and improved disaster recovery.

Keywords: hybrid cloud, cloud computing, on-premises, public cloud, Red Hat OpenShift, container platform

2. Artificial Intelligence (AI) and Machine Learning (ML):

What they are: AI is the simulation of human intelligence in machines, while ML is a subset of AI that allows machines to learn from data without being explicitly programmed.   

Red Hat's role: Red Hat provides AI and ML platforms, such as Red Hat Ansible Automation Platform, that help businesses automate and manage AI and ML workloads.

Benefits: Improved decision-making, increased efficiency, and new business opportunities.

Keywords: AI, machine learning, automation, Red Hat Ansible Automation Platform

3. Edge Computing:

What it is: Processing data closer to the source, such as in devices and sensors, rather than in a centralized data center.

Red Hat's role: Red Hat offers edge computing solutions, such as Red Hat Ceph Storage, that help businesses store and process data at the edge.

Benefits: Reduced latency, improved performance, and increased data security.

Keywords: edge computing, data processing, data storage, Red Hat Ceph Storage

4. DevOps:

What it is: A set of practices that combine software development and IT operations to shorten the systems development life cycle and provide continuous delivery with high software quality.   

Red Hat's role: Red Hat provides DevOps tools and platforms, such as Red Hat Ansible Automation Platform and Red Hat OpenShift, that help businesses automate and streamline their DevOps processes.

Benefits: Faster time-to-market, improved collaboration, and increased efficiency.

Keywords: DevOps, automation, continuous delivery, Red Hat Ansible Automation Platform, Red Hat OpenShift

5. Cybersecurity:

What it is: The practice of protecting computer systems and networks from unauthorized access or attack.

Red Hat's role: Red Hat offers a wide range of cybersecurity solutions, such as Red Hat Enterprise Linux and Red Hat Insights, that help businesses protect their IT infrastructure.

Benefits: Reduced risk of data breaches, improved compliance, and increased trust.

Keywords: cybersecurity, data security, Red Hat Enterprise Linux, Red Hat Insights

Conclusion:

Red Hat is a key player in driving these and other important trends in enterprise IT. By leveraging Red Hat's open-source solutions, businesses can gain a competitive advantage and achieve their digital transformation goals.

For more details 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

[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,…

[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 ���테이너 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…

[hawkstack]

Migrating from VMware vSphere to Red Hat OpenShift: Embracing the Cloud-Native Future

Introduction

In today’s rapidly evolving IT landscape, organizations are increasingly seeking ways to modernize their infrastructure to achieve greater agility, scalability, and operational efficiency. One significant transformation that many enterprises are undertaking is the migration from VMware vSphere-based environments to Red Hat OpenShift — a shift that reflects the broader move from traditional virtualization to cloud-native platforms.

Why Make the Move? VMware vSphere has long been the gold standard for server virtualization. It offers robust tools for managing virtual machines (VMs) and has powered countless data centers around the world. However, as businesses seek to accelerate application delivery, support microservices architectures, and reduce operational overhead, containerization and Kubernetes have taken center stage.

Red Hat OpenShift, built on Kubernetes, provides a powerful platform for orchestrating containers while adding enterprise-grade features such as automated operations, integrated CI/CD pipelines, and enhanced security controls. Migrating to OpenShift allows organizations to:

Adopt DevOps practices more effectively

Improve resource utilization through containerization

Enable faster and more consistent application deployment

Prepare infrastructure for hybrid and multi-cloud strategies

What Changes? This migration isn’t just about swapping out one platform for another — it represents a foundational shift in how infrastructure and applications are managed.

From VMware vSphere To Red Hat OpenShift Virtual Machines (VMs) Containers & Pods Hypervisor-based Kubernetes Orchestration Manual scaling & updates Automated CI/CD & Scaling VM-centric tooling GitOps, DevOps pipelines

Key Considerations for Migration Migrating to OpenShift requires careful planning and a clear strategy. Here are a few critical steps to consider:

Assessment & Planning Understand your current vSphere workloads and identify which applications are best suited for containerization.

Application Refactoring Not all applications are ready to be containerized as-is. Some may need refactoring or rewriting for the new environment.

Training & Culture Shift Equip your teams with the skills needed to manage containers and Kubernetes, and foster a DevOps culture that aligns with OpenShift’s capabilities.

Automation & CI/CD Leverage OpenShift’s native CI/CD tools to build automation into your deployment pipelines for faster and more reliable releases.

Security & Compliance Red Hat OpenShift includes built-in security tools, but it’s crucial to map these features to your organization’s compliance requirements.

Conclusion Migrating from VMware vSphere to Red Hat OpenShift is more than just a technology shift — it’s a strategic evolution toward a cloud-native, agile, and future-ready infrastructure. By embracing this change, organizations position themselves to innovate faster, operate more efficiently, and stay ahead in a competitive digital landscape.

For more details www.hawkstack.com

[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 

[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

[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!

[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…

[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.