#redhatopenshift

[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.

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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.

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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…

[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

[govindhtech]

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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[govindhtech]

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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Red Hat OpenShift on AWS: Modern Cloud Hosting IBM TAS

The industry-leading comprehensive workplace management solution, IBM TRIRIGA Application Suite (TAS), helps businesses effectively manage their facility portfolios and assets throughout the course of their lives. It assists businesses in managing transactions, capital projects, space, facility maintenance, and facility sustainability. It also helps them schedule facility resources, plan strategic facilities, prepare for leasing accounting, and dispose of assets.

AI and data are becoming more and more important tools as businesses modernize their facilities management. AI-infused real-time insights facilitate dynamic space design. By using shared data, tenants may request services, reserve rooms, optimise portfolio size, and improve the effectiveness of capital projects, lease administration, and other operations. IBM TAS is a straightforward, quick, and adaptable modular solution that offers the ideal combination of applications to optimise your construction lifecycle and get you ready for future demands.

Because it addresses the changing demands of contemporary organisations and places a strong emphasis on simplicity and flexibility, the TRIRIGA Application Suite is an appealing option. The complexity of business systems is decreased by streamlining deployment and management procedures via the consolidation of facility management features onto a single platform. TRIRIGA’s flexible deployment options in on-premises, cloud, and hybrid cloud environments support a range of organizational architectures.

More flexibility is provided by the suite’s streamlined licencing mechanism, allowing customers to adjust their use in accordance with needs. The TRIRIGA Application Suite increases efficiency by emphasising a consistent and improved user experience. Through the clear AppPoints licencing architecture, it provides easy expansion into other capabilities, hence promoting innovation and cost-effectiveness in asset management methods.

As TRIRIGA develops further, TAS will be the main product offered for new, significant upgrades. Customers are receiving assistance from IBM and their partners throughout their migrations so they may benefit from new technologies as soon as they are made available on TAS.

We go over the suggested choices for executing IBM TAS on Amazon Web Services (AWS) in this blog article. We go over the architecture and explain how Red Hat, Amazon, and IBM work together to provide a strong basis for executing IBM TAS. IBM also go over the architectural choices to think about, allowing you to choose the one that best suits the requirements of your company.

Three methods for executing IBM TAS on AWS are covered in this article:

TAS on Red Hat OpenShift hosted by the client

TAS on Red Hat OpenShift Service on Amazon (ROSA), hosted by the client

Partners’ TAS Managed Services

TAS on Red Hat OpenShift hosted by a client

With this deployment, clients may use their in-house, highly experienced team members with Red Hat OpenShift knowledge, especially in security-related areas, to help provide strong protection for their environment. Every element of this ecosystem has to be managed by customers, which calls for constant care, upkeep, and resource allocation.

Customers have complete control over the application and infrastructure with this deployment, but they also assume more management responsibilities for both. This solution is still scalable, giving you the freedom to modify resources to meet changing demand and maximise effectiveness.

Red Hat OpenShift and TAS management skills and architectural design of the client determine the environment’s availability and dependability.

The customer’s software update strategy for Red Hat OpenShift and TAS determines the availability of version upgrades and additional features.

Additionally, since the environment is powered by the customer’s AWS account, it deducts from their current AWS Enterprise Discount Plan, which might have some financial advantages.

In the end, this deployment choice requires careful planning and administration to help assure optimum performance and cost-effectiveness even if it offers autonomy and scalability.Image credit to IBM

TAS on ROSA hosted by the client

RedHat Openshift on AWS

The TAS’s customer-hosted Red Hat OpenShift Service on AWS (ROSA) deployment option is designed to make things easier for users to utilise.

By giving Red Hat and AWS staff complete control over the (OpenShift) ROSA cluster lifecycle management, including updates and security hotfixes, this solution lessens the operational burden on the client.

With Red Hat and AWS staff handling platform and infrastructure administration and support, this solution frees users to concentrate on the TAS application.

This method is perfect for clients that want to concentrate on their TAS application as it simplifies administration and frees up customer resources for other important duties.

In addition, the implementation retains scalability, enabling easy resource modifications to meet changing demand levels.

With this solution, the user may manage software lifecycles in accordance with business deadlines and requirements while maintaining complete control over TAS upgrades and distributed versions.

Strong fault-tolerance and high availability safeguards are also offered by the managed portion of the ROSA platform, which is supported by a 99.95% service level agreement. This SLA is intended to meet your needs for platform stability and dependability so that your TAS application may continue to get services without interruption.

In addition, there are certain financial advantages since the environment uses the customer’s current AWS Enterprise Discount Plan (EDP) because it runs within their AWS account. Customers that are concentrating on TAS applications and outsourcing platform maintenance and monitoring to a managed service may find the ROSA deployment option to be an attractive tool.Image credit to IBM

Partners’ TAS Managed Services

Customers may get a customised solution with the TAS Managed Services by Partners option, which relieves them of the hassles involved in managing their TAS setup. This option allows clients to avoid learning Red Hat OpenShift skills since partners are in charge of administering Red Hat OpenShift. When a client uses a fully managed service from the business partner, they are no longer obliged to maintain the platform or application.

By using the deployment’s inherent scalability, this solution enables organisations to concentrate on their primary goals while enabling smooth resource modifications in response to changing demand.

Subject to a SLA with the partner, the business partner is responsible for the environment’s availability, resilience, and dependability.

Customers also depend on partners for TAS version upgrades and new feature availability, which may be contingent on the partner’s schedule and offers.

Customers may only see and access the application endpoints that are necessary for their business activities, and the environment is run inside the partner’s AWS account. The client has to be aware that their data is stored in and managed by the partner AWS account.

Customers looking for a simplified, scalable, and well-supported TAS deployment solution may find the TAS Managed Services by Partners option to be an appealing offer.Image credit to IBM

Note: The architecture shown above is generic. The partner solution may cause variations in the actual architecture.

Concluding remarks

Every deployment option for the IBM TAS has unique benefits and drawbacks. To guarantee an effective and successful IBM TAS implementation, customers should evaluate their infrastructure, customization, internal capabilities, and cost factors. Customers may choose the deployment option that best suits their company goals by being aware of the advantages and disadvantages of each one.

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NTT DATA Business Solutions Inc uses IBM watsonx for Gen AI

NTT DATA Business Solutions: IBM watsonx for Generative AI Center of Excellence NTT DATA benefits IBM watsonx for Generative AI The launch of a Center of Excellence (CoE) for the Watsonx generative AI platform has been announced by NTT DATA Business Solutions and IBM. The joint CoE’s main goal is to help clients develop embedded generative AI solutions by utilizing IBM Watsonx AI and data platform along with Watsonx AI assistants. Through the CoE, NTT DATA Business Solutions’ industry knowledge and IBM technology are combined to assist NTT DATA Business Solutions clients in scaling and accelerating the impact of generative AI.

According to Norbert Rotter, CEO of NTT DATA Business Solutions and EVP of NTT DATA, Inc., “despite being based in Denmark, this initiative is a global endeavor, empowering our customers worldwide.”

NTT DATA’s it.human platform, which combines IBM Watsonx capabilities, machine learning, speech recognition, natural language processing, and conversational AI to improve the customer experience, benefits greatly from the CoE’s assistance in expanding new use cases for generative AI.

IBM Ecosystem General Manager Kate Woolley stated, “As businesses move to adopt generative AI, they need the right client and industry expertise, combined with the best open technology.” Through our collaboration with NTT DATA Business Solutions, IBM and we are able to jointly develop purpose-built, flexible, open, and transparent solutions for our clients.

In order to develop use cases and give clients access to foundation models and best practices to help with Watsonx platform projects, the partnership also makes use of IBM’s training, education, and technological resources, including IBM Cloud. Sales resources are furnished by NTT DATA Business Solutions to the CoE for customer engagement, use case development, and AI product implementation.

“They anticipate a rise in customer-side investment in AI this year,” states Nicolaj Vang Jessen, NTT DATA SAP TFA’s EVP of Global Innovation & Industry Consulting and NTT DATA Business Solutions’ regional NEE manager. “The CoE, strengthened by IBM’s extraordinary competence, harmonizes our resources, methodologies, and industry expertise.”

At the IBM TechXchange Summit EMEA in Barcelona, a sneak peek at the work in progress will be provided by Thomas Noermark, Global Head of Innovation at NTT DATA Business Solutions, and Thor Hauberg, Director Venture Lab and Digital Business Transformation at NTT DATA Business Solutions, who will share their expertise in multiple sessions.

The trademarks or registered trademarks of SAP SE (or a SAP affiliate company) in Germany and other countries refer to SAP and other SAP products and services mentioned here, along with their corresponding logos. For further details and notices regarding trademarks, visit http://www.sap.com/corporate-en/legal/copyright/index.epx. The trademarks of the aforementioned companies are associated with all other product and service names.

About NTT DATA Business Solutions From consulting and implementation to managed services and beyond, NTT DATA Business Solutions propels innovation. It consistently improves SAP solutions to make them beneficial for businesses and their employees. NTT DATA Business Solutions links its clients’ business opportunities with cutting-edge technologies, both individually and across all business areas, and more than SAP solution expertise to help them transform, expand, and succeed. As part of the NTT DATA group and a SAP global strategic partner with close ties to other partners, NTT DATA Business Solutions offers clients and prospects cutting-edge solutions and developments. Thus, NTT DATA Business Solutions boosts innovation and long-term success. Over 15,000 NTT DATA Business Solutions employees work in 30 countries.

Concerning NTT Data Tokyo-based NTT DATA, a division of NTT Group, is a reputable worldwide leader in business and IT services. Through consulting, industry solutions, business process services, IT and digital modernization, and managed services, we assist clients in transforming. They can confidently enter the digital future with the help of NTT DATA, as can the rest of society. Because they care about their clients’ long-term success, they work with them in more than 50 countries worldwide by combining their global reach with individualized attention.

Regarding IBM IBM is a top global supplier of AI, hybrid cloud, and consulting services. IBM assist clients in over 175 countries to gain a competitive advantage in their respective industries, streamline business processes, cut costs, and capitalize on insights from their data. For swift, secure, and cost-effective digital transformations, over 4,000 government and corporate entities in critical infrastructure sectors, including financial services, telecommunications, and healthcare, rely on Red Hat OpenShift and IBM’s hybrid cloud platform. IBM’s groundbreaking AI, quantum computing, industry-specific cloud solutions, and consulting give their clients flexible options. IBM has long valued integrity, openness, accountability, diversity, and customer service.

What is the difference between NTT DATA and NTT Data Business Solutions? With a focus on operations, technology, and transformation, NTT DATA EMEAL serves clients in LATAM, the USA, and Europe. Making SAP solutions function for businesses and their employees has been NTT DATA Business Solutions’ area of expertise

What does NTT Data Business Solutions do? They develop, implement, oversee, and constantly improve SAP solutions at NTT DATA Business Solutions so that businesses and their employees can benefit from them.

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Dell APEX PowerSwitch Evolves Cloud Strategy!

Dell APEX Cloud Platform

Businesses are using multicloud deployments for contemporary containerized programs to improve user experiences, increase productivity, and increase revenue. Organizations now frequently choose multicloud, with Kubernetes at the forefront. Of the enterprises, 42% use Red Hat OpenShift for container management. Multiple clouds, however, might add complexity. For IT peace of mind, modern multicloud container deployments require reliable automation and continuous operations. This allows IT professionals to concentrate on providing application value rather than managing infrastructure.

Red Hat’s Dell APEX Cloud Platform Designed in collaboration with Red Hat, OpenShift is a turnkey platform that revolutionizes on-premises OpenShift installations. The platform is intended to optimize workload outcomes, improve security and governance, and lower the cost and complexity of OpenShift deployments with a bare metal implementation.

Cut back on complexity and expense. Everything you need to quickly install and operate Red Hat OpenShift on a turnkey, integrated bare metal infrastructure is provided by Dell APEX Cloud Platform for Red Hat OpenShift. The Dell APEX Cloud Platform Foundation Software’s considerable automation reduces time for complicated lifecycle management operations by up to 90% while cutting deployment times by over 90%. To ensure predictability and dependability, they also put in over 21,000 hours of interoperability testing for every major release.

Maximize the results of your workload. Through the platform’s optimization of OpenShift’s on-premises delivery, application modernization initiatives are accelerated. The platform, which is based on Dell’s scalable, high-performance SDS and the next-generation PowerEdge servers, offers strict SLAs for a variety of contemporary mission-critical workloads. Furthermore, the platform makes it easier to shift workloads throughout your IT estate by providing a unified storage layer between Dell’s APEX Cloud Platform on-premises and Dell’s APEX Storage for Public Cloud.

Boost governance and security. The next-generation PowerEdge nodes’ cyber-resilient foundation serves as the basis for the Dell APEX Cloud Platform, which offers multi-layer security and governance features integrated throughout the technological stack and speeds up the adoption of Zero Trust. Additionally, by lowering the potential attack surface, the platform improves security with a bare metal implementation.

Red Hat OpenShift with Dell Networking for Dell APEX Cloud Platform The network requirements of any enterprise IT infrastructure are the same for Dell APEX Cloud Platform for OpenShift: scalability, performance, and availability. In accordance with your purchase order, Dell APEX Cloud Platform for OpenShift is produced in the factory and delivered to your data center prepared for deployment. Dell PowerSwitch platforms have been used to test the entire solution.

Dell networking Top of Rack (ToR) switches are compatible with the nodes of the Dell APEX Cloud Platform for OpenShift. These fulfill the functional requirements of the ACP for Red Hat OpenShift network, which include, in general, 25G / 100G NICs, support for LACP (802.3ad), MTU sizes of 1500 for management and 9000 for data, the ability to disable IPv6 multicast snooping to guarantee proper node discovery, and VLAN support tagged 3939 or Native 0 on management ports.

Make Red Hat OpenShift and Dell APEX Cloud Platform Work for You Customers may construct a unified and effective IT infrastructure with an end-to-end stack from Dell Technologies, allowing them to concentrate more on their primary business goals rather than handling complicated and disjointed infrastructure components. Utilizing Dell for integrated networking, storage, and computing solutions has a number of important advantages, such as:

Dell networking and Dell APEX Cloud Platform for Red Hat OpenShift are seamlessly integrated, making deployment, management, and maintenance easier and lowering the chance of interoperability problems. When Dell Networking is used in conjunction with Dell APEX Cloud Platform for Red Hat OpenShift, system performance is improved and optimized overall. A single point of contact for assistance throughout the deployment that offers a constant level of service. When compared to individual components from different suppliers, the Dell APEX Cloud Platform for Red Hat OpenShift solution with Dell networking offers comparable cost. Lower operational costs are the result of less complexity and more effective management (OpEx). System updates that are seamless and frequent throughout the ACP for OpenShift ecosystem.

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Software-Defined Vehicles: Automotive Advancements

Software-Defined Vehicles Explained

A growing number of customers now anticipate receiving the same level of experience from their cars as they do from other smart gadgets. They want a car that can run its operations, add features, and enable new ones mostly or totally through software. They want complete integration into their digital life.

The demand for sophisticated features in cars is rising, which is being fueled by stricter auto safety laws, more money being spent on R&D, and improved connectivity and navigation. However, what really constitutes an Software-Defined Vehicles, and what is the architecture that underpins the vehicle to offer automation, personalization, and connectivity?

The SDV condensed

In an Software-Defined Vehicles, the car acts as the technological cornerstone for next advancements, a command center for gathering and arranging enormous amounts of data, utilizing AI to gain insights, and automating deliberate actions. By separating software from hardware, the Software-Defined Vehicles enables constant communication, automation or autonomy, and updates and upgrades. It engages with its surroundings, picks up knowledge, and backs service-oriented business models. Onboard electronics develop at the same time from standalone electronic control units to high-performance computers with improved integration and performance.

The Software-Defined Vehicles architecture up close

The layer of infrastructure

In addition to the vehicle, this layer also consists of numerous OEM backend systems, roadside devices, telco equipment, smart city systems, and other such components. All of these components are a part of a cycle wherein vehicle data is utilized for services, development, and operation. Over-the-air updates are used to install new software on automobiles based on insights gleaned from this data.

The platform layer of the hybrid cloud

According to the IBM strategy, a unified platform built on Linux and Kubernetes extends from the car to the edge of the backend system. Red Hat Enterprise Linux and Red Hat Openshift enable it, enabling flexible software distribution in the form of software containers in line with the “build once, deploy anywhere” philosophy. Before the software is simply installed into the infrastructure or vehicle, it might be designed and tested in the backend. This all adds up to an incredible level of versatility.

Better maintainability and portability of software are achieved through standardization through abstraction of application software in the form of containers, which boosts developer productivity. The IBM Embedded Automotive Platform, a Java runtime designed for in-vehicle use, and the IBM Edge Application Manager, which enables OEMs to scale and operate edge solutions autonomously, round out the hybrid cloud strategy.

The platform layer of the hybrid cloud

AI models have long been crucial to the operation of car systems like ADAS/AD. To produce safer and more customized cars, several OEMs, like Honda, use AI for knowledge management. AI is now being used in cybersecurity to examine incoming security events and incidents, as well as in telematics data analysis to obtain insights into driving experiences, with regard to vehicle operation.

These days, generative AI can produce software source code, architecture models, and test cases autonomously, which can significantly improve Software-Defined Vehicles development and operation. To handle different optimized foundation models for each use case, create custom-specific foundation models based on customer proprietary standards, and prevent engineering data from being included into publicly available open source foundation models that rivals might exploit, an AI and data platform like IBM Watsonx is needed. Furthermore, OEMs can maximize the deployment and utilization of AI models in edge devices, like cars, thanks to solutions like IBM Distributed AI API.

The layer of security

OEMs are progressively using a zero-trust cybersecurity framework to combat external and internal threats in corporate, in-vehicle, and development contexts. The Vehicle Security Operation Center, which uses IBM Security QRadar Suite for threat detection and security orchestration, automation, and response, is a key component of vehicle security.

OEMs must also encrypt all conversations that take place inside of cars as well as outside of them. The IBM Enterprise Key Management Foundation can help with this. Last but not least, IBM Security X-Force Red offers specialized automobile testing services.

The layer of AI products

Agile software development in a contemporary CI/CD environment is made possible for the automotive industry by a contemporary development platform like IBM Engineering Lifecycle Management. It offers model-based system engineering and testing, traceable requirements engineering, data-driven insights application, collaboration facilitation, complexity management for products, and compliance assurance. Moreover, Watsonx platforms facilitate AI engineering, which makes customized client experiences possible.

As seen in this Continental case study, engineering data management solutions assist clients in organizing the vast amounts of data required for the development of autonomous driving. Automation and orchestration of network operations are made possible by intelligent platforms such as IBM Cloud Pak for Network Automation. This is especially important for Telcos in the infrastructure. Manufacturers can develop their connected car use cases with the assistance of IBM Connected car Insight on the backend.

Additionally,Software-Defined Vehicles need a wide range of specialized technologies from several suppliers, which is why ecosystem cooperation is crucial to the SDV design.

In the end, each element of the architecture has a distinct function in guaranteeing the optimal experience for both drivers and passengers, thereby establishing the Software-Defined Vehicles as the next development in the automotive sector.

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Innovations in Generative AI and Foundation Models

Generative AI in Therapeutic Antibody Development: With the cooperation announced today, Boehringer Ingelheim and IBM will be able to employ IBM’s foundation model technology to find new candidate antibodies for the development of effective treatments.

Boehringer Ingelheim’s Andrew Nixon, Global Head of Biotherapeutics Discovery, said, “We are very excited to collaborate with the research team at IBM, who share our vision of making in silico biologic drug discovery a reality.” “We will create an unparalleled platform for expedited antibody discovery by collaborating with IBM scientists, and I am sure that this will allow Boehringer to create and provide novel treatments for patients with significant unmet needs.”

Boehringer plans to use a pre-trained AI model created by IBM, which will be further refined using additional proprietary data owned by Boehringer. Vice President of Accelerated Discovery at IBM Research Alessandro Curioni stated, “IBM has been at the forefront of creating generative AI models that extend AI’s impact beyond the domain of language.” “We are excited to now enable Boehringer, a pioneer in the creation and production of antibody-based treatments, to leverage IBM’s multimodal foundation model technologies to help quicken Boehringer’s ability to develop new therapeutics.”

Foundational models for the finding of antibodies

Therapeutic antibodies play a key role in the management of numerous illnesses, such as infectious, autoimmune, and cancerous conditions. The identification and creation of therapeutic antibodies encompassing a variety of epitopes continues to be an extremely difficult and time-consuming procedure, even with significant technological advancements.

Researchers from IBM and Boehringer will work together to use in-silico techniques to speed up the antibody discovery process.  New human antibody sequences will be generated in silico using the sequence, structure, and molecular profile data of disease-relevant targets as well as success criteria for therapeutically relevant antibody molecules, such as developability, specificity, and affinity. The efficacy and speed of antibody discovery, as well as the quality of anticipated antibody candidates, are intended to be enhanced by these techniques, which are based on new IBM foundation model technology.

The defined targets are designed with antibody candidates using IBM’s foundation model technologies, which have proven effective in producing biologics and small molecules with relevant target affinities. AI-enhanced simulation is then used to screen the antibody candidates and select and refine the best binders for the target. The antibody candidates will be produced at mini-scales and evaluated experimentally by Boehringer Ingelheim as part of a validation process. Subsequently, the outcomes of the lab trials will be applied to enhance the in-silico techniques through feedback loops.

Boehringer is creating a cutting-edge digital ecosystem to facilitate the acceleration of medication discovery and development and to generate new breakthrough prospects to improve the lives of patients by working with top academic and industry partners.

Generative AI in Therapeutic Antibody Development

Additionally, IBM is using foundation models and Generative AI to speed up the discovery and development of new biologics and small chemicals, and this study is the latest in this endeavor. Earlier in the year, the business’s Generative AI model accurately predicted the physico-chemical characteristics of tiny compounds that resembled drugs. 

Pre-trained models for drug-target interactions and protein-protein interactions are developed using a variety of heterogeneous, publically available data sets by the IBM Biomedical Foundation Model Technologies.  In order to provide newly created proteins and small molecules with the required qualities, the pre-trained models are subsequently refined using particular confidential data belonging to IBM’s partner.

Concerning Boehringer Ingelheim

Innovative treatments that change lives now and for future generations are being developed by Boehringer Ingelheim. As a top biopharmaceutical business focused on research, it adds value through innovation in highly unmet medical needs. Having been family-owned since its founding in 1885, Boehringer Ingelheim adopts a long-term, sustainable viewpoint. The two business groups, Human Pharma and Animal Health, employ more than 53,000 people to service more than 130 markets. Go to www.boehringer-ingelheim.com to learn more.

Regarding IBM

IBM is a top global supplier of Generative AI, hybrid cloud, and consulting services. They assist clients in over 175 countries to acquire a competitive advantage in their respective industries, optimize business processes, cut expenses, and capitalize on insights from their data. IBM’s hybrid cloud platform and Red Hat OpenShift are used by over 4,000 government and business institutions in critical infrastructure domains including financial services, telecommunications, and healthcare to facilitate their digital transformations in a timely, secure, and effective manner.

IBM clients are given open and flexible alternatives by IBM’s ground-breaking advances in artificial intelligence (AI), quantum computing, industry-specific cloud solutions, and consultancy. IBM has a strong history of upholding integrity, openness, accountability, diversity, and customer service.

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