#RedHatOpenShift

[hawskstack]

🚀 Introduction to Managed OpenShift Clusters: Simplifying Kubernetes at Scale

Kubernetes is powerful—but managing it yourself can be a real headache. That’s where Managed OpenShift Clusters come in. They give you all the benefits of Kubernetes and OpenShift, minus the stress of setting up, patching, scaling, and securing the platform yourself.

Whether you’re a startup scaling fast or an enterprise moving to hybrid cloud, a managed OpenShift service could be exactly what your team needs.

🧠 First, What Is OpenShift?

OpenShift is Red Hat’s enterprise Kubernetes platform. It builds on Kubernetes by adding:

Developer tools

Security features

Built-in CI/CD

Operator support

Streamlined container management

It’s designed for enterprises that want Kubernetes, but with guardrails and support.

☁️ What Is a Managed OpenShift Cluster?

A Managed OpenShift Cluster is where Red Hat or a cloud provider (like AWS, Azure, or IBM Cloud) takes care of the infrastructure, control plane, and platform operations—while you focus only on your apps and workloads.

In simple terms:

You run your apps. They manage the Kubernetes.

Examples of managed OpenShift services:

Red Hat OpenShift Service on AWS (ROSA)

Azure Red Hat OpenShift (ARO)

Red Hat OpenShift on IBM Cloud

OpenShift Dedicated (hosted and managed by Red Hat)

🔑 Key Benefits

✅ No Infrastructure Headaches

No more provisioning VMs, patching nodes, or setting up monitoring—it's all handled.

📈 Built to Scale

Need to scale your app to 100 pods across 3 regions? No problem. Managed OpenShift supports automatic scaling and multi-zone deployments.

🔒 Enterprise-Grade Security

Get automated updates, vulnerability patches, and built-in security features like SELinux, Role-Based Access Control (RBAC), and secure image registries.

🧩 Dev-Friendly Environment

With built-in CI/CD pipelines, image streams, and developer dashboards, your dev teams can move faster.

☎️ 24x7 Support

Since it’s a Red Hat-managed product (often co-supported by the cloud provider), you get enterprise-grade SLAs and support.

🛠️ Use Cases

Fast Cloud Migrations: Lift-and-shift workloads with less operational overhead.

Hybrid/Multi-cloud Strategy: Run consistent OpenShift environments across clouds and on-prem.

Dev/Test Environments: Spin up clusters for development without maintaining infrastructure.

Highly Regulated Environments: Meet compliance with security-hardened, audited platforms.

🔄 How It Works (Without Getting Too Technical)

You choose a cloud provider (like AWS or Azure).

The provider and Red Hat set up the OpenShift cluster—control plane, infrastructure, networking, all done.

You log in and start deploying your apps.

All platform upgrades, patches, and availability are handled for you.

You can interact with it using the OpenShift Web Console, the CLI (oc tool), or APIs—just like any other OpenShift environment.

🧭 When to Choose Managed OpenShift

Consider a managed OpenShift cluster if:

You want to avoid managing the control plane and infra

Your team wants to focus on delivery, not infrastructure

You need to meet SLAs and compliance without heavy lifting

You're scaling fast and need a reliable Kubernetes platform

✅ Summary

Managed OpenShift Clusters let you focus on building, deploying, and scaling your apps—while trusted providers handle the complexity of Kubernetes underneath. You get all the power of OpenShift, with none of the infrastructure headaches.

Whether you're moving to the cloud, modernizing legacy systems, or just want to simplify DevOps, Managed OpenShift gives you a proven, secure, and scalable foundation to build on.

For more info, Kindly follow: Hawkstack Technologies

[krnetwork]

EX280: Red Hat OpenShift Administration

Red Hat OpenShift Administration is a vital skill for IT professionals interested in managing containerized applications, simplifying Kubernetes, and leveraging enterprise cloud solutions. If you’re looking to excel in OpenShift technology, this guide covers everything from its core concepts and prerequisites to advanced certification and career benefits.

1. What is Red Hat OpenShift?

Red Hat OpenShift is a robust, enterprise-grade Kubernetes platform designed to help developers build, deploy, and scale applications across hybrid and multi-cloud environments. It offers a simplified, consistent approach to managing Kubernetes, with added security, automation, and developer tools, making it ideal for enterprise use.

Key Components of OpenShift:

OpenShift Platform: The foundation for scalable applications with simplified Kubernetes integration.

OpenShift Containers: Allows seamless container orchestration for optimized application deployment.

OpenShift Cluster: Manages workload distribution, ensuring application availability across multiple nodes.

OpenShift Networking: Provides efficient network configuration, allowing applications to communicate securely.

OpenShift Security: Integrates built-in security features to manage access, policies, and compliance seamlessly.

2. Why Choose Red Hat OpenShift?

OpenShift provides unparalleled advantages for organizations seeking a Kubernetes-based platform tailored to complex, cloud-native environments. Here’s why OpenShift stands out among container orchestration solutions:

Enterprise-Grade Security: OpenShift Security layers, such as role-based access control (RBAC) and automated security policies, secure every component of the OpenShift environment.

Enhanced Automation: OpenShift Automation enables efficient deployment, management, and scaling, allowing businesses to speed up their continuous integration and continuous delivery (CI/CD) pipelines.

Streamlined Deployment: OpenShift Deployment features enable quick, efficient, and predictable deployments that are ideal for enterprise environments.

Scalability & Flexibility: With OpenShift Scaling, administrators can adjust resources dynamically based on application requirements, maintaining optimal performance even under fluctuating loads.

Simplified Kubernetes with OpenShift: OpenShift builds upon Kubernetes, simplifying its management while adding comprehensive enterprise features for operational efficiency.

3. Who Should Pursue Red Hat OpenShift Administration?

A career in Red Hat OpenShift Administration is suitable for professionals in several IT roles. Here’s who can benefit:

System Administrators: Those managing infrastructure and seeking to expand their expertise in container orchestration and multi-cloud deployments.

DevOps Engineers: OpenShift’s integrated tools support automated workflows, CI/CD pipelines, and application scaling for DevOps operations.

Cloud Architects: OpenShift’s robust capabilities make it ideal for architects designing scalable, secure, and portable applications across cloud environments.

Software Engineers: Developers who want to build and manage containerized applications using tools optimized for development workflows.

4. Who May Not Benefit from OpenShift?

While OpenShift provides valuable enterprise features, it may not be necessary for everyone:

Small Businesses or Startups: OpenShift may be more advanced than required for smaller, less complex projects or organizations with a limited budget.

Beginner IT Professionals: For those new to IT or with minimal cloud experience, starting with foundational cloud or Linux skills may be a better path before moving to OpenShift.

5. Prerequisites for Success in OpenShift Administration

Before diving into Red Hat OpenShift Administration, ensure you have the following foundational knowledge:

Linux Proficiency: Linux forms the backbone of OpenShift, so understanding Linux commands and administration is essential.

Basic Kubernetes Knowledge: Familiarity with Kubernetes concepts helps as OpenShift is built on Kubernetes.

Networking Fundamentals: OpenShift Networking leverages container networks, so knowledge of basic networking is important.

Hands-On OpenShift Training: Comprehensive OpenShift training, such as the OpenShift Administration Training and Red Hat OpenShift Training, is crucial for hands-on learning.

Read About Ethical Hacking

6. Key Benefits of OpenShift Certification

The Red Hat OpenShift Certification validates skills in container and application management using OpenShift, enhancing career growth prospects significantly. Here are some advantages:

EX280 Certification: This prestigious certification verifies your expertise in OpenShift cluster management, automation, and security.

Job-Ready Skills: You’ll develop advanced skills in OpenShift deployment, storage, scaling, and troubleshooting, making you an asset to any IT team.

Career Mobility: Certified professionals are sought after for roles in OpenShift Administration, cloud architecture, DevOps, and systems engineering.

7. Important Features of OpenShift for Administrators

As an OpenShift administrator, mastering certain key features will enhance your ability to manage applications effectively and securely:

OpenShift Operator Framework: This framework simplifies application lifecycle management by allowing users to automate deployment and scaling.

OpenShift Storage: Offers reliable, persistent storage solutions critical for stateful applications and complex deployments.

OpenShift Automation: Automates manual tasks, making CI/CD pipelines and application scaling efficiently.

OpenShift Scaling: Allows administrators to manage resources dynamically, ensuring applications perform optimally under various load conditions.

Monitoring & Logging: Comprehensive tools that allow administrators to keep an eye on applications and container environments, ensuring system health and reliability.

8. Steps to Begin Your OpenShift Training and Certification

For those seeking to gain Red Hat OpenShift Certification and advance their expertise in OpenShift administration, here’s how to get started:

Enroll in OpenShift Administration Training: Structured OpenShift training programs provide foundational and advanced knowledge, essential for handling OpenShift environments.

Practice in Realistic Environments: Hands-on practice through lab simulators or practice clusters ensures real-world application of skills.

Prepare for the EX280 Exam: Comprehensive EX280 Exam Preparation through guided practice will help you acquire the knowledge and confidence to succeed.

9. What to Do After OpenShift DO280?

After completing the DO280 (Red Hat OpenShift Administration) certification, you can further enhance your expertise with advanced Red Hat training programs:

a) Red Hat OpenShift Virtualization Training (DO316)

Learn how to integrate and manage virtual machines (VMs) alongside containers in OpenShift.

Gain expertise in deploying, managing, and troubleshooting virtualized workloads in a Kubernetes-native environment.

b) Red Hat OpenShift AI Training (AI267)

Master the deployment and management of AI/ML workloads on OpenShift.

Learn how to use OpenShift Data Science and MLOps tools for scalable machine learning pipelines.

c) Red Hat Satellite Training (RH403)

Expand your skills in managing OpenShift and other Red Hat infrastructure on a scale.

Learn how to automate patch management, provisioning, and configuration using Red Hat Satellite.

These advanced courses will make you a well-rounded OpenShift expert, capable of handling complex enterprise deployments in virtualization, AI/ML, and infrastructure automation.

Conclusion: Is Red Hat OpenShift the Right Path for You?

Red Hat OpenShift Administration is a valuable career path for IT professionals dedicated to mastering enterprise Kubernetes and containerized application management. With skills in OpenShift Cluster management, OpenShift Automation, and secure OpenShift Networking, you will become an indispensable asset in modern, cloud-centric organizations.

KR Network Cloud is a trusted provider of comprehensive OpenShift training, preparing you with the skills required to achieve success in EX280 Certification and beyond.

Why Join KR Network Cloud?

 With expert-led training, practical labs, and career-focused guidance, KR Network Cloud empowers you to excel in Red Hat OpenShift Administration and achieve your professional goals.

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[govindhtech]

Red Hat Openshift Virtualization Unlocks APEX Cloud Platform

Dell APEX Cloud Platform

With flexible storage and integrated virtualization, you may achieve operational simplicity. In the quickly changing technological world of today, efficiency is hampered by complexity. The difficult task of overseeing complex systems, a variety of workloads, and the need to innovate while maintaining flawless operations falls on IT experts. Dell Technologies and Red Hat have developed robust new capabilities for Dell APEX Cloud Platform for Red Hat Openshift Virtualization that are assisting enterprises in streamlining their IT systems.

Openshift Virtualization

Utilize Integrated Virtualization to Simplify and Optimize

Many firms are reevaluating their virtualization strategy as the use of AI and containers picks up speed, along with upheavals in the virtualization industry. Red Hat OpenShift Virtualization, which offers a contemporary platform for enterprises to operate, deploy, and manage new and current virtual machine workloads together with containers and AI/ML workloads, is now included by default in APEX Cloud Platform for Red Hat OpenShift. Operations are streamlined by having everything managed on a single platform.

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APEX Cloud Platform

Adaptable Infrastructure for All Tasks

Having the appropriate infrastructure to handle your workload needs is essential for a successful virtualization strategy. An increased selection of storage choices is now available with APEX Cloud Platform for Red Hat OpenShift to accommodate any performance demands and preferred footprint. Block storage is needed by the APEX Cloud Platform Foundation Software, which offers all of the interface with Red Hat Openshift Virtualization.

For clients that want a smaller footprint, Dell have added PowerStore and Red Hat OpenShift Data Foundation to the list of block storage choices available from PowerFlex. In order to avoid making redundant expenditures, customers may use the PowerStore and PowerFlex appliances that are already in place.

Customers may easily connect to any of Their business storage solutions for additional storage to meet their block, file, and object demands. This is particularly crucial for the increasing amount of AI workloads that need PowerScale and ObjectScale’s file and object support.

Support for a range of NVIDIA GPUs and Intel 5th Generation Xeon Processors further increases this versatility and improves performance for your most demanding applications.

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Continuity Throughout Your Red Hat OpenShift Estate

Red Hat OpenShift 4.14 and 4.16 support is now available in the APEX Cloud Platform, adding a new degree of uniformity to your Red Hat OpenShift estate along with features like CPU hot plug and the option to choose a single node for live migration to improve OpenShift Virtualization. This lessens the complexity often involved in maintaining numerous software versions, streamlining IT processes for increased productivity.

Red Hat Virtualization

Overview

Red Hat OpenShift includes Red Hat OpenShift Virtualization, an integrated platform that gives enterprises a contemporary way to run and manage their virtual machine (VM) workloads, both new and old. The system makes it simple to move and maintain conventional virtual machines to a reliable, dependable, and all-inclusive hybrid cloud application platform.

By using the speed and ease of a cloud-native application platform, OpenShift Virtualization provides a way to modernize infrastructure while maintaining the investments made in virtualization and adhering to contemporary management practices.

What advantages does Red Hat OpenShift virtualization offer?

Simple transfer: The Migration Toolkit for Virtualization that comes with Red Hat Openshift Virtualization makes it easy to move virtual machines (VMs) from different hypervisors. Even VMs can be moved to the cloud. Red Hat Services offers mentor-based advice along the route, including the Virtualization move Assessment, if you need practical assistance with your move.

Reduce the time to manufacture: Simplify application delivery and infrastructure with a platform that facilitates self-service choices and CI/CD pipeline interfaces. Developers may accelerate time to market by building, testing, and deploying workloads more quickly using Red Hat Openshift Virtualization.

Utilize a single platform to handle everything: One platform for virtual machines (VMs), containers, and serverless applications is provided by OpenShift Virtualization, simplifying operations. As a consequence, you may use a shared, uniform set of well-known corporate tools to manage all workloads and standardize the deployment of infrastructure.

A route towards modernizing infrastructure: Red Hat Openshift Virtualization allows you to operate virtual machines (VMs) that have been migrated from other platforms, allowing you to maximize your virtualization investments while using cloud-native architectures, faster operations and administration, and innovative development methodologies.

How does Red Hat OpenShift virtualization operate?

Included with every OpenShift subscription is Red Hat Openshift Virtualization. The same way they would for a containerized application, it allows infrastructure architects to design and add virtualized apps to their projects using OperatorHub.

With the help of simple, free migration tools, virtual machines already running on other platforms may be moved to the OpenShift application platform. On the same Red Hat OpenShift nodes, the resultant virtual machines will operate alongside containers.

Update your approach to virtualization

Virtualization managers need to adjust as companies adopt containerized systems and embrace digital transformation. Teams may benefit from infrastructure that enables VMs and containers to be managed by the same set of tools, on a single, unified platform, using Red Hat Openshift Virtualization.

Read more on govindhtech.com

[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 

[johnthetechenthusiast]

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✨Join us for another Kubernetes Captain Meetup☸️ on 18th September!! Get a chance to interact with your favourite trainer Shubham Katara, Senior Site Reliability Engineer, Prodevans who will be discussing the latest and greatest from Kubernetes and Docker!!✨

🌟Key Benefits of Using Kubernetes🌟

🔹Kubernetes Automates Containerized Environments. 🔹Scaling Up and Down. 🔹Strong Open Source Communities. 🔹Cost Efficiencies and Savings. 🔹Ability to Run Anywhere. 🔹Multi-Cloud Possibilities. 🔹Improve Developer Productivity. 🔹Native Tooling Available.

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[grrasitsolution]

Which is the best institute for Red Hat Certified Specialist in OpenShift Administration?

We are here to help you find an appropriate answer to which is the best institute for Red Hat Certified specialist in OpenShift Administration because this answer will change your life today! So, enrol with the best institute which is Grras Solutions for your Red Hat Certified specialist in OpenShift Administration today and become a professional who gets all the best opportunities for a successful future. Enrol now and start your journey with the best to become the best!

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#redhatopenshift

[codecraftshop]

How to deploy web application in openshift command line

To deploy a web application in OpenShift using the command-line interface (CLI), follow these steps: Create a new project: Before deploying your application, you need to create a new project. You can do this using the oc new-project command. For example, to create a project named “myproject”, run the following command:javascriptCopy codeoc new-project myproject Create an application: Use the oc…

[hawskstack]

Getting Started with Red Hat OpenShift Container Platform for Developers

Introduction

As organizations move toward cloud-native development, developers are expected to build applications that are scalable, reliable, and fast to deploy. Red Hat OpenShift Container Platform is designed to simplify this process. Built on Kubernetes, OpenShift provides developers with a robust platform to deploy and manage containerized applications — without getting bogged down in infrastructure details.

In this blog, we’ll explore the architecture, key terms, and how you, as a developer, can get started on OpenShift — all without writing a single line of code.

What is Red Hat OpenShift?

OpenShift is an enterprise-grade container application platform powered by Kubernetes. It offers a developer-friendly experience by integrating tools for building, deploying, and managing applications seamlessly. With built-in automation, a powerful web console, and enterprise security, developers can focus on building features rather than infrastructure.

Core Concepts and Terminology

Here are some foundational terms that every OpenShift developer should know:

Project: A workspace where all your application components live. It's similar to a folder for organizing your deployments, services, and routes.

Pod: The smallest unit in OpenShift, representing one or more containers that run together.

Service: A stable access point to reach your application, even when pods change.

Route: A way to expose your application to users outside the cluster (like publishing your app on the web).

Image: A template used to create a running container. OpenShift supports automated image builds.

BuildConfig and DeploymentConfig: These help define how your application is built and deployed using your code or existing images.

Source-to-Image (S2I): A unique feature that turns your source code into a containerized application, skipping the need to manually build Docker images.

Understanding the Architecture

OpenShift is built on several layers that work together:

Infrastructure Layer

Runs on cloud, virtual, or physical servers.

Hosts all the components and applications.

Container Orchestration Layer

Based on Kubernetes.

Manages containers, networking, scaling, and failover.

Developer Experience Layer

Includes web and command-line tools.

Offers templates, Git integration, CI/CD pipelines, and automated builds.

Security & Management Layer

Provides role-based access control.

Manages authentication, user permissions, and application security.

Setting Up the Developer Environment (No Coding Needed)

OpenShift provides several tools and interfaces designed for developers who want to deploy or test applications without writing code:

✅ Web Console Access

You can log in to the OpenShift web console through a browser. It gives you a graphical interface to create projects, deploy applications, and manage services without needing terminal commands.

✅ Developer Perspective

The OpenShift web console includes a “Developer” view, which provides:

Drag-and-drop application deployment

Built-in dashboards for health and metrics

Git repository integration to deploy applications automatically

Access to quick-start templates for common tech stacks (Java, Node.js, Python, etc.)

✅ CodeReady Containers (Local OpenShift)

For personal testing or local development, OpenShift offers a tool called CodeReady Containers, which allows you to run a minimal OpenShift cluster on your laptop — all through a simple installer and user-friendly interface.

✅ Preconfigured Templates

You can select application templates (like a basic web server, database, or app framework), fill in some settings, and OpenShift will take care of deployment.

Benefits for Developers

Here’s why OpenShift is a great fit for developers—even those with minimal infrastructure experience:

🔄 Automated Build & Deploy: Simply point to your Git repository or select a language — OpenShift will take care of the rest.

🖥 Intuitive Web Console: Visual tools replace complex command-line tasks.

🔒 Built-In Security: OpenShift follows strict security standards out of the box.

🔄 Scalability Made Simple: Applications can be scaled up or down with a few clicks.

🌐 Easy Integration with Dev Tools: Works well with CI/CD systems and IDEs like Visual Studio Code.

Conclusion

OpenShift empowers developers to build and run applications without needing to master Kubernetes internals or container scripting. With its visual tools, preconfigured templates, and secure automation, it transforms the way developers approach app delivery. Whether you’re new to containers or experienced in DevOps, OpenShift simplifies your workflow — no code required.

For more info, Kindly follow: Hawkstack Technologies

[govindhtech]

NVIDIA Holoscan For Media: Live Media Vision In Production

NVIDIA Holoscan for Media

With NVIDIA’s cutting-edge software-defined, artificial intelligence (AI) platform, streaming and broadcast organizations can transform live media and video pipelines. Broadcast, sports, and streaming companies are moving to software-defined infrastructure in order to take advantage of flexible deployment and faster adoption of the newest AI technology.

Now available in limited quantities, NVIDIA Holoscan for Media is a software-defined, AI-enabled platform that enables live media and video pipelines to operate on the same infrastructure as AI. This allows businesses with live media pipelines to improve production and delivery by using apps from a developer community on commercial off-the-shelf hardware that is repurposed and NVIDIA-accelerated.

NMOS

With more to be released in the upcoming months, Holoscan for Media provides a unified platform for live media applications from both well-known and up-and-coming vendors. These applications include AI captioning, live graphics, vision mixing, playout server, encode, decode, transcode, multiviewer, and Networked Media Open Specifications (NMOS) controller.

With Holoscan for Media, developers may optimize R&D expenditure while streamlining client delivery, integrating future technologies, and simplifying the development process.

Built on industry standards like ST 2110 and common application programming interfaces, Holoscan for Media is an internet protocol-based technology that satisfies the most stringent density and compliance criteria. It includes necessary services like NMOS for management and interoperability, also known as Precision Time Protocol, or PTP, and is ready to function in the demanding production settings of live transmission.

Media Sector Adoption of NVIDIA Holoscan

As the live media industry moves into a new stage of production and delivery, companies that have live media pipelines are using software-defined infrastructure. Additionally, the network of partners which now includes Beamr, Harmonic, Pebble, Qvest, RAVEL, RT Software, Speechmatics, and Spicy Mango that are committed to this industry’s future is expanding.

“Live video and artificial intelligence are powerfully integrated by the Holoscan for Media platform. The CEO of Beamr, Sharon Carmel, said, “This integration, aided by NVIDIA computing, fits in perfectly with Beamr’s cutting-edge video technology and products.” “They are confident that by efficiently optimizing 4K p60 Live video streams, their Holoscan for Media application will significantly improve the performance of media pipelines.”

With its vast compute capabilities and developer-friendly ecosystem, NVIDIA is “laying the foundation for software-defined broadcast,” according to Christophe Ponsart, executive vice president and co-lead of Qvest, a leading global provider of business and technology consulting, and generative AI practice. “This degree of local computing, in conjunction with NVIDIA’s potent developer tools, enables Qvest, a technology partner and integrator, to swiftly innovate, leveraging their extensive industry knowledge and customer connections to create a significant influence.”

The leading Kubernetes-powered hybrid cloud platform in the industry, Red Hat, said that “NVIDIA Holoscan for Media, using the power of Red Hat OpenShift, delivers a scalable, cloud-native platform for next-generation live media applications.” Gino Grano is the global vice president of Americas, telco, media, and entertainment at Red Hat. “Cable and broadcast companies can benefit from more seamless media application deployments and management with this enterprise-grade open-source solution, delivering enhanced flexibility and performance across environments.”

Holoscan

Start Now

Make the switch to real software-defined infrastructure with Holoscan for Media to benefit from resource scalability, flexible deployment, and the newest generative, predictive, and video AI capabilities.

Across the exhibit floor, attendees of the IBC 2024 content and technology event in Amsterdam from September 13–16 may see Holoscan for Media in operation.

Holoscan for Media from NVIDIA

AI-Powered, Software-Defined Platform for Live Media

With the help of NVIDIA Holoscan for Media, businesses involved in broadcast, streaming, and live sports may operate live video pipelines on the same infrastructure as artificial intelligence. This IP-based solution includes crucial services like PTP for timing and NMOS for interoperability and management. It is based on industry standards and APIs, such as ST 2110.

By moving to a software-defined infrastructure with Holoscan for Media, you can benefit from resource scalability, flexible deployment, and the newest advances in generative, predictive, and video AI technologies.

The Software-Defined Broadcast Platform

The only platform offering real software-defined infrastructure in the live media space is NVIDIA Holoscan for Media.

Utilize AI Infrastructure to Run Live Video Pipelines

The platform offers commercial off-the-shelf hardware that is repurposed and NVIDIA accelerated, together with applications from both well-known and up-and-coming players in the sector.

Examine NVIDIA Holoscan’s Advantages for the Media

AI-Powered: The same hardware and software architecture that powers AI deployment at scale also powers live video pipelines.

Repurposable: On the same hardware, applications from many businesses may be installed. This indicates that a variety of uses, including backups, are possible for the device. By doing this, the infrastructure footprint and related expenses are decreased.

Flexible: Any desired workflow may be created by dynamically connecting applications to media streams and to one another. Additionally, they may be switched on and off as required. This offers adaptability.

Agile: GPU partitioning allows infrastructure resources to be deployed to any use case and allocated where and when needed. Adding more server nodes makes scaling out resources simple.

Resilient: The platform’s High Availability (HA) cluster support, failover, and network redundancy enable users to recover automatically.

Upgradeable: Upgrades of hardware and software are unrelated to one another. Because of this, updating the platform and its apps is simple.

Effective: Users may take advantage of the cyclical cost savings that IT provides by switching to software-defined infrastructure that is IT-oriented. This will reduce the infrastructure’s total cost of ownership during its lifetime.

Historical Assistance: The platform incorporates PTP as a service and is based on standards like ST 2110. This implies that it is compatible with SDI gateways, facilitating a phased transition to IP.

Showcasing Prominent and Up-and-Coming Providers

Applications from their partner ecosystem expand the features of Holoscan for Media by adding AI transcription and translation, live visuals, encoding, and other capabilities.

Developers may use NVIDIA Holoscan for Media

A software platform called NVIDIA Holoscan for Media is used to create and implement live media applications. It saves developers money on R&D while assisting them in streamlining the development process, using new technologies, and accelerating delivery to clients.

Read more on govindhtech.com

[codecraftshop]

How to deploy web application in openshift web console

To deploy a web application in OpenShift using the web console, follow these steps: Create a new project: Before deploying your application, you need to create a new project. You can do this by navigating to the OpenShift web console, selecting the “Projects” dropdown menu, and then clicking on “Create Project”. Enter a name for your project and click “Create”. Add a new application: In the…

[hawskstack]

As organizations look to modernize infrastructure and migrate legacy virtual machines (VMs) to container-native environments, Red Hat OpenShift Virtualization emerges as a powerful solution. A crucial step in this migration journey is configuring and managing storage for virtual machines effectively — especially when orchestrated through Ansible Automation Platform.

Why Storage Configuration Matters in VM Migration

Virtual machines, unlike containers, are tightly coupled with persistent storage:

VM disks can be large, stateful, and performance-sensitive.

Improper storage configuration can result in data loss, slow I/O, or failed migrations.

OpenShift Virtualization relies on Persistent Volume Claims (PVCs) and StorageClasses to attach virtual disks to VMs.

🎯 Key Objectives of Storage Configuration

Ensure Data Integrity – Retain disk states and OS configurations during migration.

Optimize Performance – Choose appropriate backends (e.g., block storage for performance).

Enable Automation – Use Ansible playbooks to consistently define and apply storage configurations.

Support Scalability – Configure dynamic provisioning to meet demand elastically.

🔑 Types of Storage in OpenShift Virtualization

Persistent Volumes (PVs) and Claims (PVCs):

Each VM disk maps to a PVC.

StorageClass defines how and where the volume is provisioned.

DataVolumes (via Containerized Data Importer - CDI):

Automates disk image import (e.g., from an HTTP server or PVC).

Enables VM creation from existing disk snapshots.

StorageClasses:

Abstracts the underlying storage provider (e.g., ODF, Ceph, NFS, iSCSI).

Allows admins to define performance and replication policies.

How Ansible Automates Storage Setup

The Ansible Automation Platform integrates with OpenShift Virtualization to:

Define VM templates with storage requirements.

Automate DataVolume creation.

Configure PVCs and attach to virtual machines.

Manage backup/restore of volumes.

This reduces human error, accelerates migration, and ensures consistency across environments.

✅ Best Practices

Pre-Migration Assessment:

Identify VM disk sizes, performance needs, and existing formats (QCOW2, VMDK, etc.).

Use Templates with Embedded Storage Policies:

Define VM templates that include PVC sizes and storage classes.

Enable Dynamic Provisioning:

Choose storage backends that support automated provisioning.

Monitor I/O Performance:

Use metrics to evaluate storage responsiveness post-migration.

Secure Storage with Access Controls:

Define security contexts and role-based access for sensitive VM disks.

🚀 Final Thoughts

Migrating virtual machines to Red Hat OpenShift Virtualization is not just a lift-and-shift task—it’s an opportunity to modernize how storage is managed. Leveraging the Ansible Automation Platform, you can configure, provision, and attach storage with precision and repeatability.

By adopting a thoughtful, automated approach to storage configuration, organizations can ensure a smooth, scalable, and secure migration process — laying the foundation for hybrid cloud success.

For more info, Kindly follow: Hawkstack Technologies

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🌐 Mastering Hybrid & Multi-Cloud Strategy: The Future of Scalable IT

In today’s fast-paced digital ecosystem, one cloud is rarely enough. Enterprises demand agility, resilience, and innovation at scale — all while maintaining cost-efficiency and regulatory compliance. That’s where a Hybrid & Multi-Cloud Strategy becomes essential.

But what does it mean, and how can organizations implement it effectively?

Let’s dive into the world of hybrid and multi-cloud computing, understand its importance, and explore how platforms like Red Hat OpenShift make this vision a practical reality.

🧭 What Is a Hybrid & Multi-Cloud Strategy?

Hybrid Cloud: Combines on-premises infrastructure (private cloud or data center) with public cloud services, enabling workloads to move seamlessly between environments.

Multi-Cloud: Involves using multiple public cloud providers (like AWS, Azure, GCP) to avoid vendor lock-in, optimize performance, and reduce risk.

Together, they create a flexible and resilient IT model that balances performance, control, and innovation.

💡 Why Enterprises Choose Hybrid & Multi-Cloud

✅ 1. Avoid Vendor Lock-In

Using more than one cloud vendor allows businesses to negotiate better deals and avoid being tied to one ecosystem.

✅ 2. Resilience & Redundancy

Workloads can shift between clouds or on-prem based on outages, latency, or business needs.

✅ 3. Cost Optimization

Run predictable workloads on cheaper on-prem hardware and burst to the cloud only when needed.

✅ 4. Compliance & Data Sovereignty

Keep sensitive data on-prem or in-country while leveraging public cloud for scale.

🚀 Real-World Use Cases

Retail: Use on-prem for POS systems and cloud for seasonal campaign scalability.

Healthcare: Host patient data in a private cloud and analytics models in the public cloud.

Finance: Perform high-frequency trading on public cloud compute clusters, but store records securely in on-prem data lakes.

🛠️ How OpenShift Simplifies Hybrid & Multi-Cloud

Red Hat OpenShift is designed with portability and consistency in mind. Here's how it empowers your strategy:

🔄 Unified Platform Everywhere

Whether deployed on AWS, Azure, GCP, bare metal, or VMware, OpenShift provides the same developer experience and tooling everywhere.

🔁 Seamless Workload Portability

Containerized applications can move effortlessly across environments with Kubernetes-native orchestration.

📡 Advanced Cluster Management (ACM)

With Red Hat ACM, enterprises can:

Manage multiple clusters across environments

Apply governance policies consistently

Deploy apps across clusters using GitOps

🛡️ Built-in Security & Compliance

Leverage features like:

Integrated service mesh

Image scanning and policy enforcement

Centralized observability

⚠️ Challenges to Consider

Complexity in Management: Without centralized control, managing multiple clouds can become chaotic.

Data Transfer Costs: Moving data between clouds isn't free — plan carefully.

Latency & Network Reliability: Ensure your architecture supports distributed workloads efficiently.

Skill Gap: Cloud-native skills are essential; upskilling your team is a must.

📘 Best Practices for Success

Start with the workload — Map your applications to the best-fit environment.

Adopt containerization and microservices — For portability and resilience.

Use Infrastructure as Code — Automate deployments and configurations.

Enforce centralized policy and monitoring — For governance and visibility.

Train your teams — Invest in certifications like Red Hat DO480, DO280, and EX280.

🎯 Conclusion

A hybrid & multi-cloud strategy isn’t just a trend — it’s becoming a competitive necessity. With the right platform like Red Hat OpenShift Platform Plus, enterprises can bridge the gap between agility and control, enabling innovation without compromise.

Ready to future-proof your infrastructure? Hybrid cloud is the way forward — and OpenShift is the bridge.

For more info, Kindly follow: Hawkstack Technologies

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AMD EPYC Processors Widely Supported By Red Hat OpenShift

EPYC processors

AMD fundamentally altered the rules when it returned to the server market in 2017 with the EPYC chip. Record-breaking performance, robust ecosystem support, and platforms tailored for contemporary workflows allowed EPYC to seize market share fast. AMD EPYC began the year with a meagre 2% of the market, but according to estimates, it now commands more than 30% of the market. All of the main OEMs, including Dell, HPE, Cisco, Lenovo, and Supermicro, offer EPYC CPUs on a variety of platforms.

Best EPYC Processor

Given AMD EPYC’s extensive presence in the public cloud and enterprise server markets, along with its numerous performance and efficiency world records, it is evident that EPYC processors is more than capable of supporting Red Hat OpenShift, the container orchestration platform. EPYC is the finest option for enabling application modernization since it forms the basis of contemporary enterprise architecture and state-of-the-art cloud functionalities. Making EPYC processors argument and demonstrating why AMD EPYC should be taken into consideration for an OpenShift implementation at Red Hat Summit was a compelling opportunity.

Gaining market share while delivering top-notch results

Over the course of four generations, EPYC’s performance has raised the standard. The fastest data centre  CPU in the world is the AMD EPYC 4th Generation. For general purpose applications (SP5-175A), the 128-core EPYC provides 73% better performance at 1.53 times the performance per projected system watt than the 64-core Intel Xeon Platinum 8592+.

In addition, EPYC provides the leadership inference performance needed to manage the increasing ubiquity of  AI. For example, utilising the industry standard end-to-end AI benchmark TPCx-AI SF30, an Intel Xeon Platinum 8592+ (SP5-051A) server has almost 1.5 times the aggregate throughput compared to an AMD EPYC 9654 powered server.

A comprehensive array of data centres and cloud presence

You may be certain that the infrastructure you’re now employing is either AMD-ready or currently operates on AMD while you work to maximise the performance of your applications.

Red Hat OpenShift-certified servers are the best-selling and most suitable for the OpenShift market among all the main providers. Take a time to look through the Red Hat partner catalogue, if you’re intrigued, to see just how many AMD-powered choices are compatible with OpenShift.

On the cloud front, OpenShift certified AMD-powered instances are available on AWS and Microsoft Azure. For instance, the EPYC-powered EC2 instances on AWS are T3a, C5a, C5ad, C6a, M5a, M5ad, M6a, M7a, R5a, and R6a.

Supplying the energy for future tasks

The benefit AMD’s rising prominence in the server market offers enterprises is the assurance that their EPYC infrastructure will perform optimally whether workloads are executed on-site or in the cloud. This is made even more clear by the fact that an increasing number of businesses are looking to jump to the cloud when performance counts, such during Black Friday sales in the retail industry.

Modern applications increasingly incorporate or produce  AI elements for rich user benefits in addition to native scalability flexibility. Another benefit of using AMD EPYC CPUs is their shown ability to provide quick large language model inference responsiveness. A crucial factor in any AI implementation is the latency of LLM inference. At Red Hat Summit, AMD seized the chance to demonstrate exactly that.

AMD performed Llama 2-7B-Chat-HF at bf16 precision​over Red Hat OpenShift on Red Hat Enterprise Linux CoreOS in order to showcase the performance of the 4th Gen AMD EPYC. AMD showcased the potential of EPYC on several distinct use cases, one of which was a chatbot for customer service. The Time to First Token in this instance was 219 milliseconds, easily satisfying the patience of a human user who probably anticipates a response in under a second.

The maximum performance needed by the majority of English readers is approximately 6.5 tokens per second, or 5 English words per second, but the throughput of tokens was 8 tokens per second. The model’s performance can readily produce words quicker than a fast reader can usually keep up, as evidenced by the 127 millisecond latency per token.

Meeting developers, partners, and customers at conferences like Red Hat Summit is always a pleasure, as is getting to hear directly from customers. AMD has worked hard to demonstrate that it provides infrastructure that is more than competitive for the development and deployment of contemporary applications. EPYC processors, EPYC-based commercial servers, and the Red Hat Enterprise Linux and OpenShift ecosystem surrounding them are reliable resources for OpenShift developers.

It was wonderful to interact with the community at the Summit, and it’s always positive to highlight AMD’s partnerships with industry titans like Red Hat. EPYC processors will return this autumn with an update, coinciding with Kubecon.

Red Hat OpenShift’s extensive use of AMD EPYC-based servers is evidence of their potent blend of affordability, effectiveness, and performance. As technology advances, they might expect a number of fascinating breakthroughs in this field:

Improved Efficiency and Performance

EPYC processors of the upcoming generation

AMD is renowned for its quick innovation cycle. It’s expected that upcoming EPYC processors would offer even more cores, faster clock rates, and cutting-edge capabilities like  AI acceleration. Better performance will result from these developments for demanding OpenShift workloads.

Better hardware-software integration

AMD, Red Hat, and hardware partners working together more closely will produce more refined optimizations that will maximize the potential of EPYC-based systems for OpenShift. This entails optimizing virtualization capabilities, I/O performance, and memory subsystems.

Increased Support for Workloads

Acceleration of AI and machine learning

EPYC-based servers equipped with dedicated AI accelerators will proliferate as AI and ML become more widespread. As a result, OpenShift environments will be better equipped to manage challenging AI workloads.

Data analytics and high-performance computing (HPC)

EPYC’s robust performance profile makes it appropriate for these types of applications. Platforms that are tailored for these workloads should be available soon, allowing for OpenShift simulations and sophisticated analytics.

Integration of Edge Computing and IoT

Reduced power consumption

EPYC processors of the future might concentrate on power efficiency, which would make them perfect for edge computing situations where power limitations are an issue. By doing this, OpenShift deployments can be made closer to data sources, which will lower latency and boost responsiveness.

IoT device management

EPYC-based servers have the potential to function as central hubs for the management and processing of data from Internet of Things devices. On these servers, OpenShift can offer a stable foundation for creating and implementing IoT applications.

Environments with Hybrid and Multiple Clouds

Uniform performance across clouds

major cloud providers will probably offer EPYC-based servers, which will guarantee uniform performance for hybrid and multi-cloud OpenShift setups.

Cloud-native apps that are optimised

EPYC-based platforms are designed to run cloud-native applications effectively by utilising microservices and containerisation.

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Machine Learning for IBM z/OS v3.2 provides AI for IBM Z

On the IBM Z with Machine Learning for IBM z/OS v3.2, speed, scale, and reliable AI Businesses have doubled down on AI adoption, which has experienced a phenomenal growth in recent years. Approximately 42% of enterprise scale organizations (those with more than 1,000 workers) who participated in the IBM Global AI Adoption Index said that they had actively implemented AI in their operations.

IBM Application Performance Analyzer for z/os Companies who are already investigating or using AI report that they have expedited their rollout or investments in the technology, according to 59% of those surveyed. Even yet, enterprises still face a number of key obstacles, including scalability issues, establishing the trustworthiness of AI, and navigating the complexity of AI implementation.

A stable and expandable setting is essential for quickening the adoption of AI by clients. It must be able to turn aspirational AI use cases into reality and facilitate the transparent and trustworthy generation of real-time AI findings.

For IBM z/OS, what does machine learning mean? An AI platform designed specifically for IBM z/OS environments is called Machine Learning for IBM z/OS. It mixes AI infusion with data and transaction gravity to provide scaled-up, transparent, and rapid insights. It assists clients in managing the whole lifespan of their AI models, facilitating rapid deployment on IBM Z in close proximity to their mission-critical applications with little to no application modification and no data migration. Features include explain, drift detection, train-anywhere, and developer-friendly APIs.

Machine Learning for IBM z/OS IBM z16 Many transactional use cases on IBM z/OS can be supported by machine learning. Top use cases include:

Real-time fraud detection in credit cards and payments: Large financial institutions are gradually incurring more losses due to fraud. With off-platform alternatives, they were only able to screen a limited subset of their transactions. For this use case, the IBM z16 system can execute 228 thousand z/OS CICS credit card transactions per second with 6 ms reaction time and a Deep Learning Model for in-transaction fraud detection.

IBM internal testing running a CICS credit card transaction workload using inference methods on IBM z16 yield performance results. They used a z/OS V2R4 LPAR with 6 CPs and 256 GB of memory. Inferencing was done with Machine Learning for IBM z/OS running on WebSphere Application Server Liberty 21.0.0.12, using a synthetic credit card fraud detection model and the IBM Integrated Accelerator for AI.

Server-side batching was enabled on Machine Learning for IBM z/OS with a size of 8 inference operations. The benchmark was run with 48 threads conducting inference procedures. Results represent a fully equipped IBM z16 with 200 CPs and 40 TB storage. Results can vary.

Clearing and settlement: A card processor considered utilising AI to assist in evaluating which trades and transactions have a high-risk exposure before settlement to prevent liability, chargebacks and costly inquiry. In support of this use case, IBM has proven that the IBM z16 with Machine Learning for IBM z/OS is designed to score business transactions at scale delivering the capacity to process up to 300 billion deep inferencing queries per day with 1 ms of latency.

Performance result is extrapolated from IBM internal tests conducting local inference operations in an IBM z16 LPAR with 48 IFLs and 128 GB memory on Ubuntu 20.04 (SMT mode) using a simulated credit card fraud detection model utilising the Integrated Accelerator for AI. The benchmark was running with 8 parallel threads, each pinned to the first core of a distinct processor.

The is CPU programmed was used to identify the core-chip topology. Batches of 128 inference operations were used. Results were also recreated using a z/OS V2R4 LPAR with 24 CPs and 256 GB memory on IBM z16. The same credit card fraud detection model was employed. The benchmark was run with a single thread executing inference operations. Results can vary.

Anti-money laundering: A bank was studying ways to include AML screening into their immediate payments operating flow. Their present end-day AML screening was no longer sufficient due to tougher rules. IBM has shown that collocating applications and inferencing requests on the IBM z16 with z/OS results in up to 20x lower response time and 19x higher throughput than sending the same requests to a compared x86 server in the same data centre with 60 ms average network latency.

IBM Z Performance from IBM internal tests using a CICS OLTP credit card workload with in-transaction fraud detection. Credit card fraud was detected using a synthetic model. Inference was done with MLz on zCX on IBM z16. Comparable x86 servers used Tensorflow Serving. Linux on IBM Z LPAR on the same IBM z16 bridged the network link between the measured z/OS LPAR and the x86 server.

Linux “tc-netem” added 5 ms average network latency to imitate a network environment. Network latency improved. Outcomes could differ.

IBM z16 configuration: Measurements were done using a z/OS (v2R4) LPAR with MLz (OSCE) and zCX with APAR- oa61559 and APAR- OA62310 applied, 8 CPs, 16 zIIPs and 8 GB of RAM.

x86 configuration: Tensorflow Serving 2.4 ran on Ubuntu 20.04.3 LTS on 8 Sky lake Intel Xeon Gold CPUs @ 2.30 GHz with Hyperthreading activated on, 1.5 TB memory, RAID5 local SSD Storage.

Machine Learning for IBM z/OS Machine Learning for IBM z/OS with IBM Z can also be utilized as a security-focused on-prem AI platform for additional use cases where clients desire to increase data integrity, privacy and application availability. The IBM z16 systems, with GDPS, IBM DS8000 series storage with Hyper Swap and running a Red Hat Open Shift Container Platform environment, are designed to deliver 99.99999% availability.

IBM z16, IBM z/VM V7.2 systems or above collected in a Single System Image, each running RHOCP 4.10 or above, IBM Operations Manager, GDPS 4.5 for managing virtual machine recovery and data recovery across metro distance systems and storage, including GDPS Global and Metro Multisite Workload, and IBM DS8000 series storage with IBM Hyper Swap are among the required components.

Necessary resiliency technology must be configured, including z/VM Single System Image clustering, GDPS xDR Proxy for z/VM and Red Hat Open Shift Data Foundation (ODF) 4.10 for administration of local storage devices. Application-induced outages are not included in the preceding assessments. Outcomes could differ. Other configurations (hardware or software) might have different availability characteristics.

IBM Developer for z/os The general public can now purchase Machine Learning for IBM z/OS via IBM and approved Business Partners. Furthermore, IBM provides a LinuxONE Discovery Workshop and AI on IBM Z at no cost. You can assess possible use cases and create a project plan with the aid of this workshop, which is an excellent place to start. You can use machine learning for IBM z/OS to expedite your adoption of AI by participating in this workshop.

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Discover Dell PowerStore’s New Efficiency Upgrades

What is Dell Powerstore

The latest developments in Dell PowerStore, which improve performance, efficiency, resilience, and multicloud data mobility, are revealed by Dell Technologies. Together with improved multicloud and Kubernetes storage management and new AIOps innovations, Dell also broadens its line of Dell APEX products.

Dell PowerStore improvement and new financial and operational benefits for clients and partners set the bar in all-flash storage’, said Arthur Lewis, president, Infrastructure Solutions Group, Dell Technologies. But Dell didn’t end there. The innovative spirit of Dell is also evident in Dell APEX, where the company is leveraging automation and artificial intelligence to enhance infrastructure and application stability while streamlining the management of multicloud and Kubernetes storage.

Boosting storage efficiency, resiliency, and multicloud

With the most versatile quad-level cell (QLC) storage in the market and notable performance improvements, Dell PowerStore assists in managing growing workload needs.

QLC-based storage

Compared to triple-level cell (TLC) architectures, it offers enterprise-class performance at a reduced cost per terabyte. Up to 5.9 petabytes of effective capacity can be scaled up per device by customers starting with as little as 11 QLC drives. The intelligent load balancing features of Dell PowerStore save expenses and enhance task distribution among mixed TLC and QLC clusters.

Enhanced performance

By upgrading new data-in-place higher model appliances, hardware performance can be improved by up to 66%.

Efficiency, security, and cloud mobility are all enhanced by Dell PowerStore software innovations.

Software-driven performance gain

Up to a 30% greater mixed workload performance improvement and up to 20% lower latency are delivered by non-disruptive software updates that are free for current customers.

More options for clients to protect important workloads with native synchronous replication for block and file workloads and native metro replication for Windows, Linux, and VMware environments translate into better data protection.

Enhanced Efficiency

Up to 20% greater data reduction and up to 28% more efficient gigabytes per watt are possible with software upgrades.

Enhancements to multicloud data mobility

By linking PowerStore to Dell APEX Block Storage for Public Cloud, the most scalable cloud block storage in the market, customers can optimise multicloud strategies and streamline workload mobility.

Improved data protection

Dell PowerStore is helping Fulgent Genetics transform patient care in pathology, oncology, reproductive health, infectious, and rare diseases by significantly accelerating data processing speed so Dell’s physicians can deliver faster genetic insights and test results to Dell patients, said Mike Lacenere, vice president, Applications. By using less energy and shrinking the size of Dell data centres, PowerStore strengthens Dell’s commitment to sustainability while also saving us a significant amount of money. With Dell PowerStore’s latest developments, Dell anticipates that its triple threat of performance, efficiency, and cost reductions will keep rising and benefit patient care.

These PowerStore innovations are a part of PowerStore Prime, a recently launched integrated offering that combines upgraded Dell PowerStore systems with initiatives meant to protect customers’ storage investments and boost Dell partner profitability.

Providing increased safety for storage investments

PowerStore Prime provides users with more options to maximise their investment in IT by providing:

5:1 data reduction guarantee

Customers can purchase with confidence, save money, and use less energy thanks to the industry’s strongest data reduction guarantee a 5:1 ratio.

Constant modernization

Customers can get flexible technology upgrades, live support around-the-clock, capacity trade-ins, and storage advisory services with Dell ProSupport or ProSupport Plus’s Lifecycle Extension.

Flexible consumption

With a Dell APEX subscription, customers can use PowerStore and only pay for what they use each month.

Powerstore Dell

Enabling partners to fulfil client expectations

Additionally, selling Dell PowerStore is made simpler and more lucrative with PowerStore Prime. Partners may now boost PowerStore sales with competitively priced product bundles and provide broader use cases for shared customers, building on Dell’s partner-first storage approach. While promoting PowerStore and PowerProtect offers jointly, partners can also expedite sales motions.

The new QLC array and PowerStore’s 5:1 Data Reduction Guarantee, according to World Wide Technology’s technical solutions architect John Lochausen, “are a testament of Dell’s unwavering commitment to meet customer efficiency goals while lowering the cost of advanced storage.” “Dell’s new partner guarantees and incentives pull everything together, enabling us to succeed with the newest developments in all-flash storage alongside Dell customers.”

Utilising AI to streamline IT management

To fulfil client demands in important priority areas like AI and multicloud, Dell Technologies is still developing its Dell APEX portfolio. Leading AIOps capabilities, enhanced storage, and better Kubernetes administration are all provided by Dell APEX advancements.

With AI-driven full stack observability and issue management, Dell APEX AIOps Software-as-a-Service (SaaS) maximises the health of the Dell infrastructure and service availability. It is a major upgrade to Dell’s AIOps products, offering three integrated features that simplify operations, increase IT agility, and give users more control over apps and infrastructure:

Infrastructure Observability: Uses AI-powered insights and recommendations to solve health, cybersecurity, and sustainability-related infrastructure issues up to 10X faster than using traditional methods. Dell APEX AIOps Assistant, driven by generative AI, offers thorough troubleshooting recommendations along with immediate answers to infrastructure-related queries.

With full stack application topologies and analytics for ensuring application availability and performance, application observability can result in a 70% reduction in the mean time to resolution of application issues.

Incident Management: Lowers customer-reported multivendor and multicloud infrastructure issues by up to 93% while optimising the availability of digital infrastructure with AI-driven incident identification and resolution.

Dell Apex navigator for Multicloud storage

Kubernetes storage management and further support for Dell APEX Storage for Public Cloud are added to Dell APEX Navigator SaaS offerings.

Dell APEX Navigator for Kubernetes simplifies storage management on Dell PowerFlex, Dell PowerScale, and Dell APEX Cloud Platform for Red Hat OpenShift by providing data replication, application mobility, and observability to containers.

Support for Dell APEX File Storage on Amazon is now available with Dell APEX Navigator for Multicloud Storage; support for Dell APEX File Storage on Microsoft Azure is scheduled for later this year. With this solution, Dell on-premises and public cloud storage users can easily configure, deploy, and monitor storage over a universal storage layer.

Dell APEX Navigator for Multicloud Storage and, as of late, Dell APEX Navigator for Kubernetes are available to customers via a risk-free, 90-day trial.

Accessibility

Global availability of the Dell PowerStore software upgrades is scheduled for late May.

In July, Gen 2 customers will be able to purchase Dell PowerStore QLC models and data-in-place updates for higher-model appliances globally.

Global availability of Dell PowerStore multicloud data mobility is scheduled for the second quarter of 2024.

You may now get Dell APEX AIOps Infrastructure Observability and Incident Management. October 2024 is when Application Observability will be available.

In the US, support for Dell APEX File Storage for AWS via Dell APEX Navigator for Multicloud Storage is currently available.

The second half of 2024 will see the availability of Dell APEX Navigator for Multicloud Storage support for Dell APEX File Storage for Microsoft Azure in the United States.

With support for Dell APEX Cloud Platform for Red Hat OpenShift, Dell PowerScale, and other geographies scheduled for the second half of 2024, Dell APEX Navigator for Kubernetes is currently available for PowerFlex in the United States.

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IaC Sights into IBM Cloud Edge VPC Deployable Architecture

VPC Management

An examination of the IaC features of the edge VPC using deployable architecture on IBM Cloud. Many organizations now find themselves forced to create a secure and customizable virtual private cloud (VPC) environment within a single region due to the constantly changing nature of cloud infrastructure. This need is met by the VPC landing zone deployable architectures, which provide a collection of initial templates that may be easily customized to meet your unique needs.

Utilizing Infrastructure as Code (IaC) concepts, the VPC Landing Zone deployable architecture enables you to describe your infrastructure in code and automate its deployment. This method facilitates updating and managing your edge VPC setup while also encouraging uniformity across deployments.

The adaptability of the VPC Landing Zone is one of its main advantages. The starting templates are simply customizable to meet the unique requirements of your organisation. This can entail making changes to security and network setups as well as adding more resources like load balancers or block volumes. You may immediately get started with the following patterns, which are starter templates.

Edge VPC setup

Pattern of landing zone VPCs: Installs a basic IBM Cloud VPC architecture devoid of any computational resources, such as Red Hat OpenShift clusters or VSIs.

QuickStart virtual server instances (VSI) pattern: In the management VPC, a jump server VSI is deployed alongside an edge VPC with one VSI.

QuickStart ROKS pattern: One ROKS cluster with two worker nodes is deployed in a workload VPC using the Quick Start ROKS pattern.

Virtual server (VSI) pattern: In every VPC, deploys the same virtual servers over the VSI subnet layer.

Red Hat Open Shift pattern: Every VPC’s VSI subnet tier has an identical cluster deployed per the Red Hat Open Shift Kubernetes (ROKS) design.

VPC Patterns that adhere to recommended standards

To arrange and oversee cloud services and VPCs, establish a resource group.

Configure Cloud Object Storage instances to hold Activity Tracker data and flow logs.

This makes it possible to store flow logs and Activity Tracker data for a long time and analyze them.

Keep your encryption keys in situations of Key Protect or Hyper Protect Crypto Services. This gives the management of encryption keys a safe, convenient location.

Establish a workload VPC for executing programmes and services, and a management VPC for monitoring and controlling network traffic.

Using a transit gateway, link the workload and management VPCs.

Install flow log collectors in every VPC to gather and examine information about network traffic. This offers visibility and insights on the performance and trends of network traffic.

Put in place the appropriate networking rules to enable VPC, instance, and service connectivity.

Route tables, network ACLs, and security groups are examples of these.

Configure each VPC’s VPEs for Cloud Object Storage.

This allows each VPC to have private and secure access to Cloud Object Storage.

Activate the management VPC VPN gateway.

This allows the management VPC and on-premises networks to communicate securely and encrypted.

Patterns of landing zones

To acquire a thorough grasp of the fundamental ideas and uses of the Landing Zone patterns, let’s investigate them.

First, the VPC Pattern

Being a modular solution that provides a strong base upon which to develop or deploy compute resources as needed, the VPC Pattern architecture stands out. This design gives you the ability to add more compute resources, such as Red Hat OpenShift clusters or virtual private islands (VSIs), to your cloud environment. This method not only makes the deployment process easier, but it also makes sure that your cloud infrastructure is safe and flexible enough to meet the changing demands of your projects.

The VSI pattern QuickStart with edge VPC

Deploying an edge VPC with a load balancer inside and one VSI in each of the three subnets is the Quickstart VSI pattern pattern. It also has a jump server VSI that exposes a public floating IP address in the management VPC. It’s vital to remember that this design, while helpful for getting started quickly, does not ensure high availability or validation within the IBM Cloud for Financial Services framework.

ROKS pattern QuickStart

A security group, an allow-all ACL, and a management VPC with a single subnet make up the Quickstart ROKS pattern pattern. The Workload VPC features a security group, an allow-all ACL, and two subnets located in two distinct availability zones. There is a Transit Gateway that connects the workload and management VPCs.

In the workload VPC, a single ROKS cluster with two worker nodes and an enabled public endpoint is also present. The cluster keys are encrypted using Key Protect for further protection, and a Cloud Object Storage instance is configured as a prerequisite for the ROKS cluster.

Pattern of virtual servers

Within the IBM Cloud environment, the VSI pattern architecture in question facilitates the establishment of a VSI on a VPC landing zone. One essential part of IBM Cloud’s secure infrastructure services is the VPC landing zone, which is made to offer a safe platform for workload deployment and management. For the purpose of building a secure infrastructure with virtual servers to perform workloads on a VPC network, the VSI on VPC landing zone architecture was created expressly.

Pattern of Red Hat OpenShift

The architecture of the ROKS pattern facilitates the establishment and implementation of a Red Hat OpenShift Container Platform in a single-region configuration inside a VPC landing zone on IBM Cloud.

This makes it possible to administer and run container apps in a safe, isolated environment that offers the tools and services required to maintain their functionality.

Because all components are located inside the same geographic region, a single-region architecture lowers latency and boosts performance for applications deployed within this environment.

It also makes the OpenShift platform easier to set up and operate.

Organizations can rapidly and effectively deploy and manage their container apps in a safe and scalable environment by utilizing IBM Cloud’s VPC landing zone to set up and manage their container infrastructure.

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