#openshift openshift 4 red hat openshift | Explore Tumblr Posts and Blogs

qcs01 · 11 days

Text

Red Hat Training Categories: Empowering IT Professionals for the Future

Red Hat, a leading provider of enterprise open-source solutions, offers a comprehensive range of training programs designed to equip IT professionals with the knowledge and skills needed to excel in the rapidly evolving world of technology. Whether you're an aspiring system administrator, a seasoned DevOps engineer, or a cloud architect, Red Hat's training programs cover key technologies and tools that drive modern IT infrastructures. Let’s explore some of the key Red Hat training categories.

1. Red Hat Enterprise Linux (RHEL)

RHEL is the foundation of many enterprises, and Red Hat offers extensive training to help IT professionals master Linux system administration, automation, and security. Key courses in this category include:

Red Hat Certified System Administrator (RHCSA): An essential certification for beginners in Linux administration.

Red Hat Certified Engineer (RHCE): Advanced training in system administration, emphasizing automation using Ansible.

Security and Identity Management: Focuses on securing Linux environments and managing user identities.

2. Ansible Automation

Automation is at the heart of efficient IT operations, and Ansible is a powerful tool for automating tasks across diverse environments. Red Hat offers training on:

Ansible Basics: Ideal for beginners looking to understand how to automate workflows and deploy applications.

Advanced Ansible Automation: Focuses on optimizing playbooks, integrating Ansible Tower, and managing large-scale deployments.

3. OpenShift Container Platform

OpenShift is Red Hat’s Kubernetes-based platform for managing containerized applications. Red Hat training covers topics like:

OpenShift Administration: Learn how to install, configure, and manage OpenShift clusters.

OpenShift Developer: Build, deploy, and scale containerized applications on OpenShift.

4. Red Hat Cloud Technologies

With businesses rapidly adopting cloud technologies, Red Hat’s cloud training programs ensure that professionals are prepared for cloud-native development and infrastructure management. Key topics include:

Red Hat OpenStack: Learn how to deploy and manage private cloud environments.

Red Hat Virtualization: Master the deployment of virtual machines and manage large virtualized environments.

5. DevOps Training

Red Hat is committed to promoting DevOps practices, helping teams collaborate more efficiently. DevOps training includes:

Red Hat DevOps Pipelines and CI/CD: Learn how to streamline software development, testing, and deployment processes.

Container Development and Kubernetes Integration: Get hands-on experience with containerized applications and orchestrating them using Kubernetes.

6. Cloud-Native Development

As enterprises move towards microservices and cloud-native applications, Red Hat provides training on developing scalable and resilient applications:

Microservices Architecture: Learn to build and deploy microservices using Red Hat’s enterprise open-source tools.

Serverless Application Development: Focus on building lightweight applications that scale on demand.

7. Red Hat Satellite

Red Hat Satellite simplifies Linux system management at scale, and its training focuses on:

Satellite Server Administration: Learn how to automate system maintenance and streamline software updates across your RHEL environment.

8. Security and Compliance

In today's IT landscape, security is paramount. Red Hat offers specialized training on securing infrastructure and ensuring compliance:

Linux Security Essentials: Learn to safeguard Linux environments from vulnerabilities.

Advanced Security Features: Cover best practices for maintaining security across hybrid cloud environments.

Why Red Hat Training?

Red Hat certifications are globally recognized, validating your expertise in open-source technologies. They offer hands-on, practical training that helps professionals apply their knowledge directly to real-world challenges. By investing in Red Hat training, you are preparing yourself for future innovations and ensuring that your skills remain relevant in an ever-changing industry.

Conclusion

Red Hat training empowers IT professionals to build, manage, and secure the enterprise-grade systems that are shaping the future of technology. Whether you're looking to enhance your Linux skills, dive into automation with Ansible, or embrace cloud-native development, there’s a Red Hat training category tailored to your needs.

For more details click www.hawkstack.com

#redhatcourses #docker #information technology #kubernetes #containerorchestration #container #linux #dockerswarm #hawkstack #hawkstack technologies

0 notes

devopssentinel · 3 months

Text

Hybrid Cloud Strategies for Modern Operations Explained

By combining these two cloud models, organizations can enhance flexibility, scalability, and security while optimizing costs and performance. This article explores effective hybrid cloud strategies for modern operations and how they can benefit your organization. Understanding Hybrid Cloud What is Hybrid Cloud? A hybrid cloud is an integrated cloud environment that combines private cloud (on-premises or hosted) and public cloud services. This model allows organizations to seamlessly manage workloads across both cloud environments, leveraging the benefits of each while addressing specific business needs and regulatory requirements. Benefits of Hybrid Cloud - Flexibility: Hybrid cloud enables organizations to choose the optimal environment for each workload, enhancing operational flexibility. - Scalability: By utilizing public cloud resources, organizations can scale their infrastructure dynamically to meet changing demands. - Cost Efficiency: Hybrid cloud allows organizations to optimize costs by balancing between on-premises investments and pay-as-you-go cloud services. - Enhanced Security: Sensitive data can be kept in a private cloud, while less critical workloads can be run in the public cloud, ensuring compliance and security. Key Hybrid Cloud Strategies 1. Workload Placement and Optimization Assessing Workload Requirements Evaluate the specific requirements of each workload, including performance, security, compliance, and cost considerations. Determine which workloads are best suited for the private cloud and which can benefit from the scalability and flexibility of the public cloud. Dynamic Workload Management Implement dynamic workload management to move workloads between private and public clouds based on real-time needs. Use tools like VMware Cloud on AWS, Azure Arc, or Google Anthos to manage hybrid cloud environments efficiently. 2. Unified Management and Orchestration Centralized Management Platforms Utilize centralized management platforms to monitor and manage resources across both private and public clouds. Tools like Microsoft Azure Stack, Google Cloud Anthos, and Red Hat OpenShift provide a unified interface for managing hybrid environments, ensuring consistent policies and governance. Automation and Orchestration Automation and orchestration tools streamline operations by automating routine tasks and managing complex workflows. Use tools like Kubernetes for container orchestration and Terraform for infrastructure as code (IaC) to automate deployment, scaling, and management across hybrid cloud environments. 3. Security and Compliance Implementing Robust Security Measures Security is paramount in hybrid cloud environments. Implement comprehensive security measures, including multi-factor authentication (MFA), encryption, and regular security audits. Use security tools like AWS Security Hub, Azure Security Center, and Google Cloud Security Command Center to monitor and manage security across the hybrid cloud. Ensuring Compliance Compliance with industry regulations and standards is essential for maintaining data integrity and security. Ensure that your hybrid cloud strategy adheres to relevant regulations, such as GDPR, HIPAA, and PCI DSS. Implement policies and procedures to protect sensitive data and maintain audit trails. 4. Networking and Connectivity Hybrid Cloud Connectivity Solutions Establish secure and reliable connectivity between private and public cloud environments. Use solutions like AWS Direct Connect, Azure ExpressRoute, and Google Cloud Interconnect to create dedicated network connections that enhance performance and security. Network Segmentation and Security Implement network segmentation to isolate and protect sensitive data and applications. Use virtual private networks (VPNs) and virtual LANs (VLANs) to segment networks and enforce security policies. Regularly monitor network traffic for anomalies and potential threats. 5. Disaster Recovery and Business Continuity Implementing Hybrid Cloud Backup Solutions Ensure business continuity by implementing hybrid cloud backup solutions. Use tools like AWS Backup, Azure Backup, and Google Cloud Backup to create automated backup processes that store data across multiple locations, providing redundancy and protection against data loss. Developing a Disaster Recovery Plan A comprehensive disaster recovery plan outlines the steps to take in the event of a major disruption. Ensure that your plan includes procedures for data restoration, failover mechanisms, and communication protocols. Regularly test your disaster recovery plan to ensure its effectiveness and make necessary adjustments. 6. Cost Management and Optimization Monitoring and Analyzing Cloud Costs Use cost monitoring tools like AWS Cost Explorer, Azure Cost Management, and Google Cloud’s cost management tools to track and analyze your cloud spending. Identify areas where you can reduce costs and implement optimization strategies, such as rightsizing resources and eliminating unused resources. Leveraging Cost-Saving Options Optimize costs by leveraging cost-saving options offered by cloud providers. Use reserved instances, spot instances, and committed use contracts to reduce expenses. Evaluate your workload requirements and choose the most cost-effective pricing models for your needs. Case Study: Hybrid Cloud Strategy in a Financial Services Company Background A financial services company needed to enhance its IT infrastructure to support growth and comply with stringent regulatory requirements. The company adopted a hybrid cloud strategy to balance the need for flexibility, scalability, and security. Solution The company assessed its workload requirements and placed critical financial applications and sensitive data in a private cloud to ensure compliance and security. Less critical workloads, such as development and testing environments, were moved to the public cloud to leverage its scalability and cost-efficiency. Centralized management and orchestration tools were implemented to manage resources across the hybrid environment. Robust security measures, including encryption, MFA, and regular audits, were put in place to protect data and ensure compliance. The company also established secure connectivity between private and public clouds and developed a comprehensive disaster recovery plan. Results The hybrid cloud strategy enabled the financial services company to achieve greater flexibility, scalability, and cost-efficiency. The company maintained compliance with regulatory requirements while optimizing performance and reducing operational costs. Adopting hybrid cloud strategies can significantly enhance modern operations by providing flexibility, scalability, and security. By leveraging the strengths of both private and public cloud environments, organizations can optimize costs, improve performance, and ensure compliance. Implementing these strategies requires careful planning and the right tools, but the benefits are well worth the effort. Read the full article

0 notes

devopssentinel2000 · 3 months

Text

Hybrid Cloud Strategies for Modern Operations Explained

0 notes

akrnd085 · 4 months

Text

OpenShift vs Kubernetes: A Detailed Comparison

When it comes to managing and organizing containerized applications there are two platforms that have emerged. Kubernetes and OpenShift. Both platforms share the goal of simplifying deployment, scaling and operational aspects of application containers. However there are differences between them. This article offers a comparison of OpenShift vs Kubernetes highlighting their features, variations and ideal use cases.

What is Kubernetes? Kubernetes (often referred to as K8s) is an open source platform designed for orchestrating containers. It automates tasks such as deploying, scaling and managing containerized applications. Originally developed by Google and later donated to the Cloud Native Computing Foundation (CNCF) Kubernetes has now become the accepted industry standard for container management.

Key Features of Kubernetes Pods: Within the Kubernetes ecosystem, pods serve as the units for deploying applications. They encapsulate one or multiple containers.

Service Discovery and Load Balancing: With Kubernetes containers can be exposed through DNS names or IP addresses. Additionally it has the capability to distribute network traffic across instances in case a container experiences traffic.

Storage Orchestration: The platform seamlessly integrates with storage systems such as on premises or public cloud providers based on user preferences.

Automated. Rollbacks: Kubernetes facilitates rolling updates while also providing a mechanism to revert back to versions when necessary.

What is OpenShift? OpenShift, developed by Red Hat, is a container platform based on Kubernetes that provides an approach to creating, deploying and managing applications in a cloud environment. It enhances the capabilities of Kubernetes by incorporating features and tools that contribute to an integrated and user-friendly platform.

Key Features of OpenShift Tools for Developers and Operations: OpenShift offers an array of tools that cater to the needs of both developers and system administrators.

Enterprise Level Security: It incorporates security features that make it suitable for industries with regulations.

Seamless Developer Experience: OpenShift includes a built in integration/ deployment (CI/CD) pipeline, source to image (S2I) functionality, as well as support for various development frameworks.

Service Mesh and Serverless Capabilities: It supports integration with Istio based service mesh. Offers Knative, for serverless application development.

Comparison; OpenShift, vs Kubernetes 1. Installation and Setup: Kubernetes can be set up manually. Using tools such as kubeadm, Minikube or Kubespray.

OpenShift offers an installer that simplifies the setup process for complex enterprise environments.

2. User Interface: Kubernetes primarily relies on the command line interface although it does provide a web based dashboard.

OpenShift features a comprehensive and user-friendly web console.

3. Security: Kubernetes provides security features and relies on third party tools for advanced security requirements.

OpenShift offers enhanced security with built in features like Security Enhanced Linux (SELinux) and stricter default policies.

4. CI/CD Integration: Kubernetes requires tools for CI/CD integration.

OpenShift has an integrated CI/CD pipeline making it more convenient for DevOps practices.

5. Pricing: Kubernetes is open source. Requires investment in infrastructure and expertise.

OpenShift is a product with subscription based pricing.

6. Community and Support; Kubernetes has a community, with support.

OpenShift is backed by Red Hat with enterprise level support.

7. Extensibility: Kubernetes: It has an ecosystem of plugins and add ons making it highly adaptable.

OpenShift:It builds upon Kubernetes. Brings its own set of tools and features.

Use Cases Kubernetes:

It is well suited for organizations seeking a container orchestration platform, with community support.

It works best for businesses that possess the technical know-how to effectively manage and scale Kubernetes clusters.

OpenShift:

It serves as a choice for enterprises that require a container solution accompanied by integrated developer tools and enhanced security measures.

Particularly favored by regulated industries like finance and healthcare where security and compliance are of utmost importance.

Conclusion Both Kubernetes and OpenShift offer capabilities for container orchestration. While Kubernetes offers flexibility along with a community, OpenShift presents an integrated enterprise-ready solution. Upgrading Kubernetes from version 1.21 to 1.22 involves upgrading the control plane and worker nodes separately. By following the steps outlined in this guide, you can ensure a smooth and error-free upgrade process. The selection between the two depends on the requirements, expertise, and organizational context.

Example Code Snippet: Deploying an App on Kubernetes

apiVersion: v1

kind: Pod

metadata:

name: myapp-pod

labels:

app: myapp

spec:

containers:

- name: myapp-container

image: myapp:1.0 This YAML file is an example of deploying a simple application on Kubernetes. It defines a Pod with a single container running ‘myapp’.

In conclusion, both OpenShift vs Kubernetes offer robust solutions for container orchestration, each with its unique strengths and use cases. The choice between them should be based on organizational requirements, infrastructure, and the level of desired security and integration.

#OpenShift vs Kubernetes

0 notes

govindhtech · 4 months

Text

IBM Think 2024 Conference: Scaling AI for Business Success

IBM Think Conference

Today at its annual THINK conference, IBM revealed many new enhancements to its watsonx platform one year after its launch, as well as planned data and automation features to make AI more open, cost-effective, and flexible for enterprises. IBM CEO Arvind Krishna will discuss the company’s goal to invest in, create, and contribute to the open-source AI community during his opening address.

“Open innovation in AI is IBM’s philosophy. Krishna said they wanted to use open source to do with AI what Linux and OpenShift did. “Open means choice. Open means more eyes on code, brains on issues, and hands on solutions. Competition, innovation, and safety must be balanced for any technology to gain pace and become universal. Open source helps achieve all three.”

IBM published Granite models as open source and created InstructLab, a first-of-its-kind capability, with Red Hat

IBM has open-sourced its most advanced and performant language and code Granite models, demonstrating its commitment to open-source AI. IBM is urging clients, developers, and global experts to build on these capabilities and push AI’s limits in enterprise environments by open sourcing these models.

Granite models, available under Apache 2.0 licences on Hugging Face and GitHub, are known for their quality, transparency, and efficiency. Granite code models have 3B to 34B parameters and base and instruction-following model versions for complicated application modernization, code generation, bug repair, code documentation, repository maintenance, and more. Code models trained on 116 programming languages regularly outperform open-source code LLMs in code-related tasks:

IBM tested Granite Code models across all model sizes and benchmarks and found that they outperformed open-source code models twice as large.

IBM found Granite code models perform well on HumanEvalPack, HumanEvalPlus, and reasoning benchmark GSM8K for code synthesis, fixing, explanation, editing, and translation in Python, JavaScript, Java, Go, C++, and Rust.

IBM Watsonx Code Assistant (WCA) was trained for specialised areas using the 20B parameter Granite base code model. Watsonx Code Assistant for Z helps organisations convert monolithic COBOL systems into IBM Z-optimized services.

The 20B parameter Granite base code model generates SQL from natural language questions to change structured data and gain insights. IBM led in natural language to SQL, a major industry use case, according to BIRD’s independent leaderboard, which rates models by Execution Accuracy (EX) and Valid Efficiency Score.

IBM and Red Hat announced InstructLab, a groundbreaking LLM open-source innovation platform.

Like open-source software development for decades, InstructLab allows incremental improvements to base models. Developers can use InstructLab to construct models with their own data for their business domains or sectors to understand the direct value of AI, not only model suppliers. Through watsonx.ai and the new Red Hat Enterprise Linux AI (RHEL AI) solution, IBM hopes to use these open-source contributions to deliver value to its clients.

RHEL AI simplifies AI implementation across hybrid infrastructure environments with an enterprise-ready InstructLab, IBM’s open-source Granite models, and the world’s best enterprise Linux platform.

IBM Consulting is also developing a practice to assist clients use InstructLab with their own private data to train purpose-specific AI models that can be scaled to meet an enterprise’s cost and performance goals.

IBM introduces new Watsonx assistants

This new wave of AI innovation might provide $4 trillion in annual economic benefits across industries. IBM’s annual Global AI Adoption Index indicated that 42% of enterprise-scale organisations (> 1,000 people) have adopted AI, but 40% of those investigating or experimenting with AI have yet to deploy their models. The skills gap, data complexity, and, most crucially, trust must be overcome in 2024 for sandbox companies.

IBM is unveiling various improvements and enhancements to its watsonx assistants, as well as a capability in watsonx Orchestrate to allow clients construct AI Assistants across domains, to solve these difficulties.

Watsonx Assistant for Z

The new AI Assistants include watsonx Code Assistant for Enterprise Java Applications (planned availability in October 2024), watsonx Assistant for Z to transform how users interact with the system to quickly transfer knowledge and expertise (planned availability in June 2024), and an expansion of watsonx Code Assistant for Z Service with code explanation to help clients understand and document applications through natural language.

To help organisations and developers meet AI and other mission-critical workloads, IBM is adding NVIDIA L40S and L4 Tensor Core GPUs and support for Red Hat Enterprise Linux AI (RHEL AI) and OpenShift AI. IBM is also leveraging deployable designs for watsonx to expedite AI adoption and empower organisations with security and compliance tools to protect their data and manage compliance rules.

IBM also introduced numerous new and future generative AI-powered data solutions and capabilities to help organisations observe, govern, and optimise their increasingly robust and complex data for AI workloads. Get more information on the IBM Data Product Hub, Data Gate for watsonx, and other updates on watsonx.data.

IBM unveils AI-powered automation vision and capabilities

Company operations are changing with hybrid cloud and AI. The average company manages public and private cloud environments and 1,000 apps with numerous dependencies. Both handle petabytes of data. Automating is no longer an option since generative AI is predicted to drive 1 billion apps by 2028. Businesses will save time, solve problems, and make choices faster.

IBM’s AI-powered automation capabilities will help CIOs evolve from proactive IT management to predictive automation. An enterprise’s infrastructure’s speed, performance, scalability, security, and cost efficiency will depend on AI-powered automation.

Today, IBM’s automation, networking, data, application, and infrastructure management tools enable enterprises manage complex IT infrastructures. Apptio helps technology business managers make data-driven investment decisions by clarifying technology spend and how it produces business value, allowing them to quickly adapt to changing market conditions. Apptio, Instana for automated observability, and Turbonomic for performance optimisation can help clients efficiently allocate resources and control IT spend through enhanced visibility and real-time insights, allowing them to focus more on deploying and scaling AI to drive new innovative initiatives.

IBM recently announced its intent to acquire HashiCorp, which automates multi-cloud and hybrid systems via Terraform, Vault, and other Infrastructure and Security Lifecycle Management tools. HashiCorp helps companies transition to multi-cloud and hybrid cloud systems.

IBM Concert

IBM is previewing IBM Concert, a generative AI-powered tool that will be released in June 2024, at THINK. IBM Concert will be an enterprise’s technology and operational “nerve centre.”

IBM Concert will use watsonx AI to detect, anticipate, and offer solutions across clients’ application portfolios. The new tool integrates into clients’ systems and uses generative AI to generate a complete image of their connected apps utilising data from their cloud infrastructure, source repositories, CI/CD pipelines, and other application management solutions.

Concert informs teams so they can quickly solve issues and prevent them by letting customers minimise superfluous work and expedite others. Concert will first enable application owners, SREs, and IT leaders understand, prevent, and resolve application risk and compliance management challenges.

IBM adds watsonx ecosystem access, third-party models

IBM continues to build a strong ecosystem of partners to offer clients choice and flexibility by bringing third-party models onto watsonx, allowing leading software companies to embed watsonx capabilities into their technologies, and providing IBM Consulting expertise for enterprise business transformation Global generative AI expertise at IBM Consulting has grown to over 50,000 certified practitioners in IBM and strategic partner technologies. Large and small partners help clients adopt and scale personalised AI across their businesses.

IBM and AWS are integrating Amazon SageMaker and watsonx.governance on AWS. This product gives Amazon SageMaker clients advanced AI governance for predictive and generative machine learning and AI models. AI risk management and compliance are simplified by clients’ ability to govern, monitor, and manage models across platforms.

Adobe: IBM and Adobe are working on hybrid cloud and AI, integrating Red Hat OpenShift and watsonx to Adobe Experience Platform and considering on-prem and private cloud versions of watsonx.ai and Adobe Acrobat AI Assistant. IBM is also offering Adobe Express assistance to help clients adopt it. These capabilities should arrive in 2H24.

Meta: IBM released Meta Llama 3, the latest iteration of Meta’s open big language model, on watsonx to let organisations innovate with AI. IBM’s cooperation with Meta to drive open AI innovation continues with Llama 3. Late last year, the two businesses created the AI Alliance, a coalition of prominent industry, startup, university, research, and government organisations with over 100 members and partners.

Microsoft: IBM is supporting the watsonx AI and data platform on Microsoft Azure and offering it as a customer-managed solution on Azure Red Hat OpenShift (ARO) through IBM and our business partner ecosystem.

IBM and Mistral AI are forming a strategic partnership to bring their latest commercial models to the watsonx platform, including the leading Mistral Large model, in 2Q24. IBM and Mistral AI are excited to collaborate on open innovation, building on their open-source work.

Palo Alto Networks: IBM and Palo Alto now offer AI-powered security solutions and many projects to increase client security. Read the news release for details.

Salesforce: IBM and Salesforce are considering adding the IBM Granite model series to Salesforce Einstein 1 later this year to add new models for AI CRM decision-making.

SAP: IBM Consulting and SAP are also working to expedite additional customers’ cloud journeys using RISE with SAP to realise the transformative benefits of generative AI for cloud business. This effort builds on IBM and SAP’s Watson AI integration into SAP applications. IBM Granite Model Series is intended to be available throughout SAP’s portfolio of cloud solutions and applications, which are powered by SAP AI Core’s generative AI centre.

IBM introduced the Saudi Data and Artificial Intelligence Authority (SDAIA) ‘ALLaM’ Arabic model on watsonx, bringing language capabilities like multi-Arabic dialect support.

Read more on Govindhtech.com

#IBMThink #IBM #Think #ai #ibmwatsonx #ibmcloud #llama3 #metallama3 #redhat #linux #technology #technews #news #govindhtech

0 notes

learnthingsfr · 7 months

Text

#LearnThings

0 notes

computingpostcom · 2 years

Text

If you want to run a local Red Hat OpenShift on your Laptop then this guide is written just for you. This guide is not meant for Production setup or any use where actual customer traffic is anticipated. CRC is a tool created for deployment of minimal OpenShift Container Platform 4 cluster and Podman container runtime on a local computer. This is fit for development and testing purposes only. Local OpenShift is mainly targeted at running on developers’ desktops. For deployment of Production grade OpenShift Container Platform use cases, refer to official Red Hat documentation on using the full OpenShift installer. We also have guide on running Red Hat OpenShift Container Platform in KVM virtualization; How To Deploy OpenShift Container Platform on KVM Here are the key points to note about Local Red Hat OpenShift Container platform using CRC: The cluster is ephemeral Both the control plane and worker node runs on a single node The Cluster Monitoring Operator is disabled by default. There is no supported upgrade path to newer OpenShift Container Platform versions The cluster uses 2 DNS domain names, crc.testing and apps-crc.testing crc.testing domain is for core OpenShift services and apps-crc.testing is for applications deployed on the cluster. The cluster uses the 172 address range for internal cluster communication. Requirements for running Local OpenShift Container Platform: A computer with AMD64 and Intel 64 processor Physical CPU cores: 4 Free memory: 9 GB Disk space: 35 GB 1. Local Computer Preparation We shall be performing this installation on a Red Hat Linux 9 system. $ cat /etc/redhat-release Red Hat Enterprise Linux release 9.0 (Plow) OS specifications are as shared below: [jkmutai@crc ~]$ free -h total used free shared buff/cache available Mem: 31Gi 238Mi 30Gi 8.0Mi 282Mi 30Gi Swap: 9Gi 0B 9Gi [jkmutai@crc ~]$ grep -c ^processor /proc/cpuinfo 8 [jkmutai@crc ~]$ ip ad 1: lo: mtu 65536 qdisc noqueue state UNKNOWN group default qlen 1000 link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00 inet 127.0.0.1/8 scope host lo valid_lft forever preferred_lft forever inet6 ::1/128 scope host valid_lft forever preferred_lft forever 2: ens18: mtu 1500 qdisc fq_codel state UP group default qlen 1000 link/ether b2:42:4e:64:fb:17 brd ff:ff:ff:ff:ff:ff altname enp0s18 inet 192.168.207.2/24 brd 192.168.207.255 scope global noprefixroute ens18 valid_lft forever preferred_lft forever inet6 fe80::b042:4eff:fe64:fb17/64 scope link noprefixroute valid_lft forever preferred_lft forever For RHEL register system If you’re performing this setup on RHEL system, use the commands below to register the system. $ sudo subscription-manager register --auto-attach Registering to: subscription.rhsm.redhat.com:443/subscription Username: Password: The registered system name is: crc.example.com Installed Product Current Status: Product Name: Red Hat Enterprise Linux for x86_64 Status: Subscribed The command will automatically associate any available subscription matching the system. You can also provide username and password in one command line. sudo subscription-manager register --username --password --auto-attach If you would like to register system without immediate subscription attachment, then run: sudo subscription-manager register Once the system is registered, attach a subscription from a specific pool using the following command: sudo subscription-manager attach --pool= To find which pools are available in the system, run the commands: sudo subscription-manager list --available sudo subscription-manager list --available --all Update your system and reboot sudo dnf -y update sudo reboot Install required dependencies You need to install libvirt and NetworkManager packages which are the dependencies for running local OpenShift cluster.

### Fedora / RHEL 8+ ### sudo dnf -y install wget vim NetworkManager ### RHEL 7 / CentOS 7 ### sudo yum -y install wget vim NetworkManager ### Debian / Ubuntu ### sudo apt update sudo apt install wget vim libvirt-daemon-system qemu-kvm libvirt-daemon network-manager 2. Download Red Hat OpenShift Local Next we download CRC portable executable. Visit Red Hat OpenShift downloads page to pull local cluster installer program. Under Cluster select “Local” as option to create your cluster. You’ll see Download link and Pull secret download link as well. Here is the direct download link provided for reference purposes. wget https://developers.redhat.com/content-gateway/rest/mirror/pub/openshift-v4/clients/crc/latest/crc-linux-amd64.tar.xz Extract the package downloaded tar xvf crc-linux-amd64.tar.xz Move the binary file to location in your PATH: sudo mv crc-linux-*-amd64/crc /usr/local/bin sudo rm -rf crc-linux-*-amd64/ Confirm installation was successful by checking software version. $ crc version CRC version: 2.7.1+a8e9854 OpenShift version: 4.11.0 Podman version: 4.1.1 Data collection can be enabled or disabled with the following commands: #Enable crc config set consent-telemetry yes #Disable crc config set consent-telemetry no 3. Run Local OpenShift Cluster in Linux Computer You’ll run the crc setup command to create a new Red Hat OpenShift Local Cluster. All the prerequisites for using CRC are handled automatically for you. $ crc setup CRC is constantly improving and we would like to know more about usage (more details at https://developers.redhat.com/article/tool-data-collection) Your preference can be changed manually if desired using 'crc config set consent-telemetry ' Would you like to contribute anonymous usage statistics? [y/N]: y Thanks for helping us! You can disable telemetry with the command 'crc config set consent-telemetry no'. INFO Using bundle path /home/jkmutai/.crc/cache/crc_libvirt_4.11.0_amd64.crcbundle INFO Checking if running as non-root INFO Checking if running inside WSL2 INFO Checking if crc-admin-helper executable is cached INFO Caching crc-admin-helper executable INFO Using root access: Changing ownership of /home/jkmutai/.crc/bin/crc-admin-helper-linux INFO Using root access: Setting suid for /home/jkmutai/.crc/bin/crc-admin-helper-linux INFO Checking for obsolete admin-helper executable INFO Checking if running on a supported CPU architecture INFO Checking minimum RAM requirements INFO Checking if crc executable symlink exists INFO Creating symlink for crc executable INFO Checking if Virtualization is enabled INFO Checking if KVM is enabled INFO Checking if libvirt is installed INFO Installing libvirt service and dependencies INFO Using root access: Installing virtualization packages INFO Checking if user is part of libvirt group INFO Adding user to libvirt group INFO Using root access: Adding user to the libvirt group INFO Checking if active user/process is currently part of the libvirt group INFO Checking if libvirt daemon is running WARN No active (running) libvirtd systemd unit could be found - make sure one of libvirt systemd units is enabled so that it's autostarted at boot time. INFO Starting libvirt service INFO Using root access: Executing systemctl daemon-reload command INFO Using root access: Executing systemctl start libvirtd INFO Checking if a supported libvirt version is installed INFO Checking if crc-driver-libvirt is installed INFO Installing crc-driver-libvirt INFO Checking crc daemon systemd service INFO Setting up crc daemon systemd service INFO Checking crc daemon systemd socket units INFO Setting up crc daemon systemd socket units INFO Checking if systemd-networkd is running INFO Checking if NetworkManager is installed INFO Checking if NetworkManager service is running INFO Checking if /etc/NetworkManager/conf.d/crc-nm-dnsmasq.conf exists INFO Writing Network Manager config for crc INFO Using root access: Writing NetworkManager configuration to /etc/NetworkManager/conf.

d/crc-nm-dnsmasq.conf INFO Using root access: Changing permissions for /etc/NetworkManager/conf.d/crc-nm-dnsmasq.conf to 644 INFO Using root access: Executing systemctl daemon-reload command INFO Using root access: Executing systemctl reload NetworkManager INFO Checking if /etc/NetworkManager/dnsmasq.d/crc.conf exists INFO Writing dnsmasq config for crc INFO Using root access: Writing NetworkManager configuration to /etc/NetworkManager/dnsmasq.d/crc.conf INFO Using root access: Changing permissions for /etc/NetworkManager/dnsmasq.d/crc.conf to 644 INFO Using root access: Executing systemctl daemon-reload command INFO Using root access: Executing systemctl reload NetworkManager INFO Checking if libvirt 'crc' network is available INFO Setting up libvirt 'crc' network INFO Checking if libvirt 'crc' network is active INFO Starting libvirt 'crc' network INFO Checking if CRC bundle is extracted in '$HOME/.crc' INFO Checking if /home/jkmutai/.crc/cache/crc_libvirt_4.11.0_amd64.crcbundle exists INFO Getting bundle for the CRC executable INFO Downloading crc_libvirt_4.11.0_amd64.crcbundle CRC bundle is downloaded locally within few seconds / minutes depending on your network connectivity speed. INFO Downloading crc_libvirt_4.11.0_amd64.crcbundle 3.28 GiB / 3.28 GiB [----------------------------------------------------------------------------------------------------------------------------------------------------------] 100.00% 85.19 MiB p/s INFO Uncompressing /home/jkmutai/.crc/cache/crc_libvirt_4.11.0_amd64.crcbundle crc.qcow2: 12.48 GiB / 12.48 GiB [-----------------------------------------------------------------------------------------------------------------------------------------------------------] 100.00% oc: 118.13 MiB / 118.13 MiB [----------------------------------------------------------------------------------------------------------------------------------------------------------------] 100.00% Once the system is correctly setup for using CRC, start the new Red Hat OpenShift Local instance: $ crc start INFO Checking if running as non-root INFO Checking if running inside WSL2 INFO Checking if crc-admin-helper executable is cached INFO Checking for obsolete admin-helper executable INFO Checking if running on a supported CPU architecture INFO Checking minimum RAM requirements INFO Checking if crc executable symlink exists INFO Checking if Virtualization is enabled INFO Checking if KVM is enabled INFO Checking if libvirt is installed INFO Checking if user is part of libvirt group INFO Checking if active user/process is currently part of the libvirt group INFO Checking if libvirt daemon is running INFO Checking if a supported libvirt version is installed INFO Checking if crc-driver-libvirt is installed INFO Checking crc daemon systemd socket units INFO Checking if systemd-networkd is running INFO Checking if NetworkManager is installed INFO Checking if NetworkManager service is running INFO Checking if /etc/NetworkManager/conf.d/crc-nm-dnsmasq.conf exists INFO Checking if /etc/NetworkManager/dnsmasq.d/crc.conf exists INFO Checking if libvirt 'crc' network is available INFO Checking if libvirt 'crc' network is active INFO Loading bundle: crc_libvirt_4.11.0_amd64... CRC requires a pull secret to download content from Red Hat. You can copy it from the Pull Secret section of https://console.redhat.com/openshift/create/local. Paste the contents of the Pull secret. ? Please enter the pull secret This can be obtained from Red Hat OpenShift Portal. Local OpenShift cluster creation process should continue. INFO Creating CRC VM for openshift 4.11.0... INFO Generating new SSH key pair... INFO Generating new password for the kubeadmin user INFO Starting CRC VM for openshift 4.11.0... INFO CRC instance is running with IP 192.168.130.11 INFO CRC VM is running INFO Updating authorized keys... INFO Configuring shared directories INFO Check internal and public DNS query...

INFO Check DNS query from host... INFO Verifying validity of the kubelet certificates... INFO Starting kubelet service INFO Waiting for kube-apiserver availability... [takes around 2min] INFO Adding user's pull secret to the cluster... INFO Updating SSH key to machine config resource... INFO Waiting for user's pull secret part of instance disk... INFO Changing the password for the kubeadmin user INFO Updating cluster ID... INFO Updating root CA cert to admin-kubeconfig-client-ca configmap... INFO Starting openshift instance... [waiting for the cluster to stabilize] INFO 3 operators are progressing: image-registry, network, openshift-controller-manager [INFO 3 operators are progressing: image-registry, network, openshift-controller-manager INFO 2 operators are progressing: image-registry, openshift-controller-manager INFO Operator openshift-controller-manager is progressing INFO Operator authentication is not yet available INFO Operator kube-apiserver is progressing INFO All operators are available. Ensuring stability... INFO Operators are stable (2/3)... INFO Operators are stable (3/3)... INFO Adding crc-admin and crc-developer contexts to kubeconfig... If creation was successful you should get output like below in your console. Started the OpenShift cluster. The server is accessible via web console at: https://console-openshift-console.apps-crc.testing Log in as administrator: Username: kubeadmin Password: yHhxX-fqAjW-8Zzw5-Eg2jg Log in as user: Username: developer Password: developer Use the 'oc' command line interface: $ eval $(crc oc-env) $ oc login -u developer https://api.crc.testing:6443 Virtual Machine created can be checked with virsh command: $ sudo virsh list Id Name State ---------------------- 1 crc running 4. Manage Local OpenShift Cluster using crc commands Update number of vCPUs available to the instance: crc config set cpus Configure the memory available to the instance: $ crc config set memory Display status of the OpenShift cluster ## When running ### $ crc status CRC VM: Running OpenShift: Running (v4.11.0) Podman: Disk Usage: 15.29GB of 32.74GB (Inside the CRC VM) Cache Usage: 17.09GB Cache Directory: /home/jkmutai/.crc/cache ## When Stopped ### $ crc status CRC VM: Stopped OpenShift: Stopped (v4.11.0) Podman: Disk Usage: 0B of 0B (Inside the CRC VM) Cache Usage: 17.09GB Cache Directory: /home/jkmutai/.crc/cache Get IP address of the running OpenShift cluster $ crc ip 192.168.130.11 Open the OpenShift Web Console in the default browser crc console Accept SSL certificate warnings to access OpenShift dashboard. Accept risk and continue Authenticate with username and password given on screen after deployment of crc instance. The following command can also be used to view the password for the developer and kubeadmin users: crc console --credentials To stop the instance run the commands: crc stop If you want to permanently delete the instance, use: crc delete 5. Configure oc environment Let’s add oc executable our system’s PATH: $ crc oc-env export PATH="/home/jkmutai/.crc/bin/oc:$PATH" # Run this command to configure your shell: # eval $(crc oc-env) $ vim ~/.bashrc export PATH="/home/$USER/.crc/bin/oc:$PATH" eval $(crc oc-env) Logout and back in to validate it works. $ exit Check oc binary path after getting in to the system. $ which oc ~/.crc/bin/oc/oc $ oc get nodes NAME STATUS ROLES AGE VERSION crc-9jm8r-master-0 Ready master,worker 21d v1.24.0+9546431 Confirm this works by checking installed cluster version $ oc get clusterversion NAME VERSION AVAILABLE PROGRESSING SINCE STATUS version 4.11.0 True False 20d Cluster version is 4.11.0 To log in as the developer user: crc console --credentials oc login -u developer https://api.crc.testing:6443

To log in as the kubeadmin user and run the following command: $ oc config use-context crc-admin $ oc whoami kubeadmin To log in to the registry as that user with its token, run: oc registry login --insecure=true Listing available Cluster Operators. $ oc get co NAME VERSION AVAILABLE PROGRESSING DEGRADED SINCE MESSAGE authentication 4.11.0 True False False 11m config-operator 4.11.0 True False False 21d console 4.11.0 True False False 13m dns 4.11.0 True False False 19m etcd 4.11.0 True False False 21d image-registry 4.11.0 True False False 14m ingress 4.11.0 True False False 21d kube-apiserver 4.11.0 True False False 21d kube-controller-manager 4.11.0 True False False 21d kube-scheduler 4.11.0 True False False 21d machine-api 4.11.0 True False False 21d machine-approver 4.11.0 True False False 21d machine-config 4.11.0 True False False 21d marketplace 4.11.0 True False False 21d network 4.11.0 True False False 21d node-tuning 4.11.0 True False False 13m openshift-apiserver 4.11.0 True False False 11m openshift-controller-manager 4.11.0 True False False 14m openshift-samples 4.11.0 True False False 21d operator-lifecycle-manager 4.11.0 True False False 21d operator-lifecycle-manager-catalog 4.11.0 True False False 21d operator-lifecycle-manager-packageserver 4.11.0 True False False 19m service-ca 4.11.0 True False False 21d Display information about the release: oc adm release info Note that the OpenShift Local reserves IP subnets for its internal use and they should not collide with your host network. These IP subnets are: 10.217.0.0/22 10.217.4.0/23 192.168.126.0/24 If your local system is behind a proxy, then define proxy settings using environment variable. See examples below: crc config set http-proxy http://proxy.example.com: crc config set https-proxy http://proxy.example.com: crc config set no-proxy If Proxy server uses SSL, set CA certificate as below: crc config set proxy-ca-file 6. Install and Connecting to remote OpenShift Local instance If the deployment is on a remote server, install CRC and start the instance using process in steps 1-3. With the cluster up and running, install HAProxy package: sudo dnf install haproxy /usr/sbin/semanage Allow access to cluster in firewall: sudo firewall-cmd --add-service=http,https,kube-apiserver --permanent sudo firewall-cmd --reload If you have SELinux enforcing, allow HAProxy to listen on TCP port 6443 for serving kube-apiserver on this port: sudo semanage port -a -t http_port_t -p tcp 6443 Backup the current haproxy configuration file: sudo cp /etc/haproxy/haproxy.cfg,.bak Save the current IP address of CRC in variable: export CRC_IP=$(crc ip) Create a new configuration: sudo tee /etc/haproxy/haproxy.cfg

0 notes

thaipolar · 2 years

Text

Citrix xenapp 6.5 policy not applying

This document does not replace comprehensive product documentation about XenApp and XenDesktop policies. The intended audience for this document is an advanced Citrix administrator who is familiar with HDX concepts, policy templates, and previous versions of the product. We’ve also provided planning guidance to help you determine the right settings for a given use case.

This document provides design considerations when you use these templates to create policies. XenApp and XenDesktop includes HDX policy templates that simplify deployment to users.

Latency and SQL Blocking Query Improvements in XenApp and XenDesktopĮxtending the Life of Your Legacy Web Applications by Using Citrix Secure BrowserĬitrix Universal Print Server load balancing in XenApp and XenDesktop 7.9Īctive Directory OU-based Controller discovery Group Policy management template updates for XenApp and XenDesktop HDX Policy Templates for XenApp and XenDesktop 7.6 to the Current Version

Use Citrix ADM to Troubleshoot Citrix Cloud Native Networkingĭeployment Guide Citrix ADC VPX on Azure - Autoscaleĭeployment Guide Citrix ADC VPX on Azure - GSLBĭeployment Guide Citrix ADC VPX on Azure - Disaster Recoveryĭeployment Guide Citrix ADC VPX on AWS - GSLBĭeployment Guide Citrix ADC VPX on AWS - Autoscaleĭeployment Guide Citrix ADC VPX on AWS - Disaster RecoveryĬitrix ADC and OpenShift 4 Solution BriefĬreating a VPX Amazon Machine Image (AMI) in SC2SĬonnecting to Citrix Infrastructure via RDP through a Linux Bastion Host in AWSĬitrix ADC for Azure DNS Private Zone Deployment GuideĬitrix Federated Authentication Service Logon Evidence Overview VRD Use Case Using Citrix ADC Dynamic Routing with KubernetesĬitrix Cloud Native Networking for Red Hat OpenShift 3.11 Validated Reference DesignĬitrix ADC CPX, Citrix Ingress Controller, and Application Delivery Management on Google CloudĬitrix ADC Pooled Capacity Validated Reference DesignĬitrix ADC CPX in Kubernetes with Diamanti and Nirmata Validated Reference DesignĬitrix ADC SSL Profiles Validated Reference DesignĬitrix ADC and Amazon Web Services Validated Reference DesignĬitrix ADC Admin Partitions Validated Reference DesignĬitrix Gateway SaaS and O365 Cloud Validated Reference DesignĬitrix Gateway Service SSO with Access Control Validated Reference DesignĬonvert Citrix ADC Perpetual Licenses to the Pooled Capacity Model Service Migration to Citrix ADC using Routes in OpenShift Validated Reference Design

#Citrix xenapp 6.5 policy not applying

1 note · View note

illuminarch · 4 years

Text

Red Hat OpenShift oferece suporte a containers Windows e Linux

Quando a gente fala em contêineres logo o Linux vêm à cabeça. Porém a Microsoft tem se esforçado para, da mesma forma, oferecer suporte a contêineres Linux no Windows 10 e Azure. Além disso, tem seus próprios contêineres baseados em Windows. É assim que muitas empresas orientadas para a Microsoft executam contêineres Linux e Windows. Afinal, atualmente, existem mais máquinas virtuais (VM) e…

View On WordPress

#Kubernetes #Microsoft #Red Hat #Red Hat OpenShift #Red Hat OpenShift Container Storage 4 #RHEL

0 notes

codecraftshop · 2 years

Text

Overview of openshift online cluster in detail

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

View On WordPress

#openshift openshift4 containerization redhatopenshift openshifttutorial openshiftonline Introduction to openshift online cluster #container platform #deploy openshift web application using openshift cli command line red hat openshift #Introduction to openshift online cluster #Login to openshift cluster in different ways openshift 4 red hat openshift #openshift #openshift 4 #Openshift 4 container platform #Openshift architecture #openshift container platform #openshift docker #openshift enterprise #openshift for beginners #openshift online #openshift online account access openshift cluster openshift 4 red hat openshift #openshift online cluster #openshift online cluster admin #openshift online cluster overview of openshift cluster #openshift openshift 4 red hat openshift #Openshift overview #openshift tutorial #overview of openshift cluster #red container #red hat openshift #red hat openshift 4 container platform #red hat openshift clusters #red hat openshift container platform #redhat openshift online #web application openshift online #what is openshift online

0 notes

qcs01 · 3 months

Text

Deploying a Containerized Application with Red Hat OpenShift

Introduction

In this post, we'll walk through the process of deploying a containerized application using Red Hat OpenShift, a powerful Kubernetes-based platform for managing containerized workloads.

What is Red Hat OpenShift?

Red Hat OpenShift is an enterprise Kubernetes platform that provides developers with a full set of tools to build, deploy, and manage applications. It integrates DevOps automation tools to streamline the development lifecycle.

Prerequisites

Before we begin, ensure you have the following:

A Red Hat OpenShift cluster

Access to the OpenShift command-line interface (CLI)

A containerized application (Docker image)

Step 1: Setting Up Your OpenShift Environment

First, log in to your OpenShift cluster using the CLI:

oc login https://your-openshift-cluster:6443

Step 2: Creating a New Project

Create a new project for your application:

oc new-project my-app

Step 3: Deploying Your Application

Deploy your Docker image using the oc new-app command:

oc new-app my-docker-image

Step 4: Exposing Your Application

Expose your application to create a route and make it accessible:

oc expose svc/my-app

Use Cases

OpenShift is ideal for deploying microservices architectures, CI/CD pipelines, and scalable web applications. Here are a few scenarios where OpenShift excels.

Best Practices

Use health checks to ensure your applications are running smoothly.

Implement resource quotas to prevent any single application from consuming too many resources.

Performance and Scalability

To optimize performance, consider using horizontal pod autoscaling. This allows OpenShift to automatically adjust the number of pods based on CPU or memory usage.

Security Considerations

Ensure your images are scanned for vulnerabilities before deployment. OpenShift provides built-in tools for image scanning and compliance checks.

Troubleshooting

If you encounter issues, check the logs of your pods:

oc logs pod-name

Conclusion

Deploying applications with Red Hat OpenShift is straightforward and powerful. By following best practices and utilizing the platform's features, you can ensure your applications are scalable, secure, and performant.

#redhatcourses #linux #container #kubernetes #containerorchestration #information technology #containersecurity #docker #dockerswarm #aws

0 notes

devopssentinel · 3 months

Text

Hybrid Cloud Strategies for Modern Operations Explained

0 notes

devopssentinel2000 · 3 months

Text

Hybrid Cloud Strategies for Modern Operations Explained

0 notes

govindhtech · 8 months

Text

IBM LinuxONE 4 Express: AI & Hybrid Cloud Savings

With the release of IBM LinuxONE 4 Express today, small and medium-sized enterprises as well as new data center environments can now benefit from the newest performance, security, and artificial intelligence capabilities of LinuxONE. Pre-configured rack mount systems are intended to save money and eliminate client guesswork when launching workloads rapidly and utilizing the platform for both new and established use cases, including workload consolidation, digital assets, and AI-powered medical imaging.

Developing a comprehensive hybrid cloud plan for the present and the future

Businesses that swiftly shift their offerings online frequently end up with a hybrid cloud environment that was built by default, complete with siloed stacks that are unsuitable for AI adoption or cross-business alignment. 84% of executives questioned in a recent IBM IBV survey admitted that their company struggles to eliminate handoffs from one silo to another. Furthermore, according to 78% of responding executives, the successful adoption of their multicloud platform is hampered by an insufficient operating model.2. Another strategy that organizations can adopt in response to the pressure to improve business outcomes and accelerate and scale the impact of data and AI across the enterprise is to more carefully determine which workloads belong in the cloud or on-premises.

“Startups and small to medium-sized enterprises have the opportunity to develop a deliberate hybrid cloud strategy from the ground up with IBM LinuxONE 4 Express. According to Tina Tarquinio, VP of Product Management for IBM Z and LinuxONE, “IBM delivers the power of hybrid cloud and AI in the most recent LinuxONE 4 system to a straightforward, easy to use format that fits in many data centers.” “And as their businesses grow with the changing shifts in the market, LinuxONE 4 Express can scale to meet growing workload and performance requirements, in addition to offering AI inferencing co-located with mission-critical data for growing AI use cases.”

Accelerating biosciences computing research

University College London is a major UK public research university. They are developing a sustainable hybrid cloud platform with IBM to support their academic research.

According to Dr. Owain Kenway, Head of Research Computing at University College London, “Our Centre for Advanced Research Computing is critical to enable computational research across the sciences and humanities, as well as digital scholarship for students.” We’re thrilled that LinuxONE 4 Express will support work in “Trusted Research Environments” (TREs), such as AI workloads on medical data, and high I/O workloads like Next Generation Sequencing for Biosciences. The system’s affordability will enable us to make it available as a test bed to university researchers and industry players alike, and its high performance and scalability meet our critical research needs.”

Providing excellent security, scalability, and availability for various use cases and data center environments

Based on the IBM Telum processor, IBM LinuxONE Rockhopper 4 was released in April 2023 and has features intended to minimize energy usage and data center floor area while providing customers with the necessary scale, performance, and security. For customers with stringent resiliency requirements owing to internal or external regulations, IBM LinuxONE 4 Express, which is also based on the Telum processor and is supplied in a rack mount format, offers high availability. Actually, Red Hat OpenShift Container Platform environments running on IBM LinuxONE 4 Express systems with GDPS, IBM DS8000 series storage with HyperSwap, and other features are built to provide 99.999999% (eight 9s) availability.3.

“IBM LinuxONE is quickly emerging as a key component of IBM’s larger infrastructure narrative,” says Steven Dickens, vice president and practice leader at The Futurum Group. IBM is in a unique position to manage mission-critical workloads with high availability thanks to the new LinuxONE 4 Express solution. This plus the system’s cybersecurity posture puts IBM in a strong position to gain traction in the market.”

The system tackles an entirely new range of use cases that small and startup companies must deal with, such as:

Digital assets: Specifically created to safeguard sensitive data, such as digital assets, IBM LinuxONE 4 Express offers a secure platform with private computing capabilities. IBM LinuxONE 4 Express now includes hardware-based security technology called IBM Secure Execution for Linux. For individual workloads, scalable isolation can aid in defending against both insider threats and external attacks. This covers data in use, which is a crucial security step for use cases involving digital assets.

AI-powered medical imaging: Clients can co-locate AI with mission-critical data on a LinuxONE system, enabling data analysis where the data is located, thanks to IBM Telum processor on-chip AI inferencing. To expedite business decision-making, health insurance companies, for instance, could examine vast amounts of medical records in almost real-time to verify process claims.

Workload consolidation: By combining databases onto a single LinuxONE system, IBM LinuxONE 4 Express is intended to assist customers in streamlining their IT environments and reducing expenses. When clients switch from an x86 server to an IBM LinuxONE 4 Express for their Linux workloads, they can save more than 52% on their total cost of ownership over a 5-year period. This product is designed to provide clients with significant cost savings over time.4

Enabling the IBM Ecosystem to achieve success for clients

IBM is working to provide solutions for today’s cybersecurity and sustainability challenges with the IBM LinuxONE Ecosystem, which includes AquaSecurity, Clari5, Exponential AI, Opollo Technologies, Pennant, and Spiking. An optimized sustainability and security posture is essential to safeguarding sensitive personal information and achieving sustainable organizational goals for clients that manage workloads related to data serving, core banking, and digital assets. Here, IBM Business Partners can find out more about the abilities needed to set up, implement, maintain, and resell IBM LinuxONE 4 Express.

Eyad Alhabbash, Director, IBM Systems Solutions & Support Group at Saudi Business Machines (SBM), stated, “We purchased an IBM LinuxONE III Express to run proofs of concepts for our strategic customers, and the feedback we have received so far has been excellent.” “LinuxONE III Express demonstrated better performance than the x86 running the same Red Hat OpenShift workload, and the customer noted how user-friendly the IBM LinuxONE is for server, storage and network management and operations.”

IBM LinuxONE 4 Express release date

Commencing at $135,00, IBM and its approved business partners will offer the new IBM LinuxONE 4 Express for general availability on February 20, 2024.

For additional information, join IBM partners and clients on February 20 at 11 a.m. ET for a live, in-depth webinar on industry trends like cybersecurity, sustainability, and artificial intelligence. You’ll also get behind-the-scenes access to the brand-new IBM LinuxONE 4 Express system.

Concerning IBM

IBM is a global leader in consulting, AI, and hybrid cloud solutions. They help customers in over 175 countries use data insights to optimize business operations, cut costs, and gain a competitive edge. Over 4,000 government and corporate entities in critical infrastructure sectors like financial services, telecommunications, and healthcare use Red Hat OpenShift and IBM’s hybrid cloud platform for fast, secure, and efficient digital transformations. IBM offers clients open and flexible options with its groundbreaking AI, quantum computing, industry-specific cloud solutions, and consulting. IBM’s history of transparency, accountability, inclusivity, trust, and service supports this.