#red hat openshift 4 container platform

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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…

[qcs01]

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 

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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

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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

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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.

[govindhtech]

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.

Read more on Govindhtech.com

[computingpostcom]

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

[datamattsson]

Kubernetes is hot and everyone loses their minds

We all witnessed Pat Gelsinger invite Kubernetes to vSphere and all of a sudden every IT manager on the planet needs to have a Kubernetes strategy. There are many facets to understanding and embracing Kubernetes as the platform of the future coming from a traditional IT mindset. Are we ready?

Forgetting IaaS

With the recent announcement from SUSE to abandon OpenStack in favor of their container offerings, where are we going to run these containers? Kubernetes does not replace the need to effectively provision infrastructure resources. We need abstractions to provision servers, networks and storage to run the Kubernetes clusters on. The public cloud vendors obviously understands this but are we simply giving the hybrid cloud market to VMware? Is vSphere the only on-prem IaaS that will matter down the line? Two of the biggest cloud vendors rely on VMware for their hybrid offerings. Google Anthos and Amazon Outpost.

Rise Above

In the new brave world IT staff needs to start thinking drastically different on how they manage and consume resources. New tools need to be honed to make developers productive (and first and foremost, happy) and not have them run off with shadow IT. There’s an apparent risk that we’ll leapfrog from one paradigm to another without understanding the steps necessary in between to embrace Kubernetes.

Since my first KubeCon in 2016 I immediately understood that Kubernetes is going to become the defacto "operating system” for multi-node computing. There’s nothing you can’t do on Kubernetes you did yesterday with headless applications. It gives you way too much for free. Why would you be stuck in imperative patterns with toil overload when the declarative paradigm is readily available for your developers and operations team?

Start now Mr. IT Manager

Do not sit around and wait for Tanzu and Project Pacific to land in your lap. There are plenty of Kubernetes distributions with native integration with vSphere that allow your teams to exercise the patterns required to be successful at deploying and running K8s in a production setting.

Here’s a non-exhaustive list with direct links to the vSphere integration of each:

Google Anthos

Rancher

Red Hat OpenShift

Juju

Kops

The Go library for the VMware vSphere API has a good list of consumers too. So start today!

[nearmesblog]

10 Best API Management Tools

An App development Programming Interface (API) allows individual programs to communicate with each other directly and use each different function. An API is a window onto facts and capability within an app development company. It allows flutter developers to write app development that engage with backend web development systems.

10 best API management tools

1. Apigee

                        Apigee is one of the best API Management tools out there for partner app developers, cloud app development , consumer app developers, systems of record, and IoT. With app developers solutions, web designers, analyze, scale, and secure APIs.

Some of its features include:

It helps to deliver the     solution in the form of proxy, hybrid, or agent.

It makes it easy for flutter developers to apply information and equipment to build new cloud-primarily     based app development.

It has four pricing plans –     Standard, Evaluation, Enterprise, and Enterprise Plus. The Evaluation plan     is free. For opportunity, you need to contact the web development team.

2. Software AG

App development AG was recently categorized as a visionary in the Gartner Magic Quadrant for Industrial Internet of Things. This is due to the fact of its API infrastructure is properly-integrated and also exquisite for its innovation.

Some of its key features include:

Provides access to several     open API standards.

Helps users to manage the     entire API lifecycle.

Has an entirely customizable flutter developers portal.

3. Microsoft Azure

A user-friendly option for app development company of any size that enables enterprises to manage APIs with a self-provider approach.

Some of its key features include:

API     management is tightly integrated with broader Azure cloud offerings,     making it a smooth preference for     web development companies that     have already invested in Microsoft’s cloud app     development technology.

Lifecycle     APIs control includes version and intake track.

4. Red Hat 3Scale

Red Hat 3scale includes a wide range of API web designers tools that integrate into Red Hat’s 3scale broader flutter developers toolset, making this imparting an amazing desire for startups, small, medium, or big businesses.

Some of its key features include:

3scale     is now connected to the wider world of containers and Kubernetes, Red     Hat’s OpenShift app development platform, enabling API management and cloud-native     workloads.

Monetization     alternatives, as well as complete analytics for API app developers  control, are a core     element of the web development platform.

Users     can installation 3scale components on-premises or within the cloud.

5. MuleSoft

MuleSoft is one of the best API management for connecting app developers. It also works well for coping and building APIs. Additionally, it offers solutions for flutter developers an app development web development from scratch.

This allows you to manage clients and examine the traffic you get. It also has guidelines in place that allow you to secure your API from cyberattacks.

Some of its key features include:

Has an     integrated API app development platform.

Helps     you create a community that you can use to nurture and collaborate with     other flutter developers.

6. Axway

Axway is an excellent API web development tool that provides cloud-based data integration. Some of the solutions that it offers consist of B2B integration, app development, and API management.

Some of its features include:

Trend analysis     and predictive evaluation of API.

Pre-built     flutter development guidelines that make it easy for app developers to work.

7. Akana

Akana provides end-to-end API management tools for web designers, implementing, securing, and publishing the APIs. Well-suited for large various app development company and federated API app developers associate ecosystems, it may be deployed natively across on-premises and cloud, that enables clients to deploy securely in an integrated no-code portal, and provides detailed business analytics.

Some of its key features are:

Helps     you to create, discover, and monitor the APIs.

It is     highly secured and detects vulnerabilities in the API web development code.

8. Fiorano software

Fiorano app development is effective for integrating web development packages and app development services in an API. Available both as a cloud and on-premise flutter development platform. It also provides contextual evaluation and visibility into API initiatives and related to digital assets to assist drive app developers and user engagement.

Some of its key features include:

Monitoring     all deployed APIs to detect errors and track performance.

Mediation     app development services that support data formats such as HTTPS and JMS.

App     Developers access to manage     and deploy APIs through a web     development console.

It has a     drag-and-drop feature that makes it simple to create APIs.

9. IBM

A full flutter development and management app development platform for APIs that advanced insights to assist app development company to get the maximum out in their API usage, including revenue optimization.  IBM’s app developers solution is an incredible desire for medium to large-sized software development company. It facilitates that the IBM cloud is so completely software developers an app development.

Some of its key features are:

App     Developers integration in     IBM’s app development platform enables app     development company to connect     to back-end data sources to flutter     developers new APIs.

IBM’s app development platform can guide large scale deployments and is visible     through many web development     companies as being very convenient.

Available     for deployment in every on-premises and as cloud SaaS app development models.

10. TIBCO cloud-Mashery

TIBCO Cloud Mashery is one of the best API management web development tools used for changing to SOAP and RESTful protocols. It affords a complete existence of API software developers solutions for public APIs, B2B, and SaaS app development.

[karonbill]

IBM C1000-130 Questions and Answers

If you are worried about preparing for C1000-130 IBM Cloud Pak for Integration V2021.2 Administration Exam then go for PassQuestion. It will provide you Real C1000-130 Questions and Answers that will help you get remarkable results. Real C1000-130 Questions and Answers are designed on the pattern of real exams so you will be able to appear more confidently in IBM Cloud Pak for Integration V2021.2 Administration exam.  It will give you a clear idea of the real exam scenario so you can make things easier for yourself. If you are using our C1000-130 Questions and Answers, then it will become a lot easier for you to prepare for the exam. Make sure that you are going through our C1000-130 Questions and Answers multiple times so you can ensure your success in the exam.

C1000-130 IBM Cloud Pak for Integration V2021.2 Administration

An IBM Certified Administrator on IBM Cloud Pak for Integration V2021.2 is an experienced system administrator who has extensive knowledge and experience with IBM Cloud Pak for Integration V2021.2 in multi-cloud environments. This administrator can perform the intermediate to advanced tasks related to daily management and operation, security, performance, configuration of enhancements (including fix packs and patches), customization and/or problem determination.

C1000-130 Exam Details

Exam Code: C1000-130 Exam Name: IBM Cloud Pak for Integration V2021.2 Administration Number of questions: 62 Number of questions to pass: 42 Time allowed: 90 minutes Languages: English Price: $200 USD

C1000-130 Exam Topics

Section 1: Planning and Installation   20% Section 2: Configuration   19% Section 3: Platform Administration   25% Section 4: Product capabilities, licensing and governance   13% Section 5: Product Administration and Troubleshooting   23%

View Online IBM Cloud Pak for Integration V2021.2 Administration C1000-130 Free Questions

In Cloud Pak for Integration, which user role can replace default Keys and Certificates? A.Cluster Manager B.Super-user C.System user D.Cluster Administrator Answer:D

An account lockout policy can be created when setting up an LDAP server for the Cloud Pak for Integration platform. What is this policy used for? A.It warns the administrator if multiple login attempts fail. B.It prompts the user to change the password. C.It deletes the user account. D.It restricts access to the account if multiple login attempts fail. Answer : B

Which two Red Hat OpenShift Operators should be installed to enable OpenShift Logging? A.OpenShift Console Operator B.OpenShift Logging Operator C.OpenShift Log Collector D.OpenShift Centralized Logging Operator E.OpenShift Elasticsearch Operator Answer : A, E

Which diagnostic information must be gathered and provided to IBM Support for troubleshooting the Cloud Pak for Integration instance? A.Standard OpenShift Container Platform logs. B.Platform Navigator event logs. C.Cloud Pak For Integration activity logs. D.Integration tracing activity reports. Answer: C

An administrator has just installed the OpenShift cluster as the first step of installing Cloud Pak for Integration. What is an indication of successful completion of the OpenShift Cluster installation, prior to any other cluster operation? A.The command "which oc" shows that the OpenShift Command Line Interface(oc) is successfully installed. B.The duster credentials are included at the end of the /.openshifl_install.log file. C.The command "oc get nodes" returns the list of nodes in the cluster. D.The OpenShift Admin console can be opened with the default user and will display the cluster statistics. Answer:D

Which capability describes and catalogs the APIs of Kafka event sources and socializes those APIs with application developers? A.Gateway Endpoint Management B.REST Endpoint Management C.Event Endpoint Management D.API Endpoint Management Answer:C

[codecraftshop]

How to deploy web application in openshift web console

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

[qcs01]

Getting Started with OpenShift: Environment Setup

OpenShift is a powerful Kubernetes-based platform that allows you to develop, deploy, and manage containerized applications. This guide will walk you through setting up an OpenShift environment on different platforms, including your local machine and various cloud services.

Table of Contents

1. [Prerequisites]

2. [Setting Up OpenShift on a Local Machine](#setting-up-openshift-on-a-local-machine)

    - [Minishift]

    - [CodeReady Containers]

3. [Setting Up OpenShift on the Cloud]

    - [Red Hat OpenShift on AWS]

    - [Red Hat OpenShift on Azure]

    - [Red Hat OpenShift on Google Cloud Platform]

4. [Common Troubleshooting Tips]

5. [Conclusion]

Prerequisites

Before you begin, ensure you have the following prerequisites in place:

- A computer with a modern operating system (Windows, macOS, or Linux).

- Sufficient memory and CPU resources (at least 8GB RAM and 4 CPUs recommended).

- Admin/root access to your machine.

- Basic understanding of containerization and Kubernetes concepts.

Setting Up OpenShift on a Local Machine

Minishift

Minishift is a tool that helps you run OpenShift locally by launching a single-node OpenShift cluster inside a virtual machine. 

Step-by-Step Guide

1. Install Dependencies

   - VirtualBox: Download and install VirtualBox from [here](https://www.virtualbox.org/).

   - Minishift: Download Minishift from the [official release page](https://github.com/minishift/minishift/releases) and add it to your PATH.

2. Start Minishift

   Open a terminal and start Minishift:

   ```sh

   minishift start

   ```

3. Access OpenShift Console

 Once Minishift is running, you can access the OpenShift console at `https://192.168.99.100:8443/console` (the IP might vary, check your terminal output for the exact address).

   

CodeReady Containers

CodeReady Containers (CRC) provides a minimal, preconfigured OpenShift cluster on your local machine, optimized for testing and development.

Step-by-Step Guide

1. Install CRC

   - Download CRC from the [Red Hat Developers website](https://developers.redhat.com/products/codeready-containers/overview).

   - Install CRC and add it to your PATH.

2. Set Up CRC

   - Run the setup command:

     ```sh

     crc setup

     ```

3. Start CRC

   - Start the CRC instance:

     ```sh

     crc start

     ```

4. Access OpenShift Console

   Access the OpenShift web console at the URL provided in the terminal output.

   

Setting Up OpenShift on the Cloud

Red Hat OpenShift on AWS

Red Hat OpenShift on AWS (ROSA) provides a fully-managed OpenShift service.

Step-by-Step Guide

1. Sign Up for ROSA

   - Create a Red Hat account and AWS account if you don't have them.

   - Log in to the [Red Hat OpenShift Console](https://cloud.redhat.com/openshift) and navigate to the AWS section.

2. Create a Cluster

   - Follow the on-screen instructions to create a new OpenShift cluster on AWS.

3. Access the Cluster

   - Once the cluster is up and running, access the OpenShift web console via the provided URL.

   

Red Hat OpenShift on Azure

Red Hat OpenShift on Azure (ARO) offers a managed OpenShift service integrated with Azure.

Step-by-Step Guide

1. Sign Up for ARO

   - Ensure you have a Red Hat and Azure account.

   - Navigate to the Azure portal and search for Red Hat OpenShift.

2. Create a Cluster

   - Follow the wizard to set up a new OpenShift cluster.

3. Access the Cluster

   - Use the URL provided to access the OpenShift web console.

   

Red Hat OpenShift on Google Cloud Platform

OpenShift on Google Cloud Platform (GCP) allows you to deploy OpenShift clusters managed by Red Hat on GCP infrastructure.

Step-by-Step Guide

1. Sign Up for OpenShift on GCP

   - Set up a Red Hat and Google Cloud account.

   - Go to the OpenShift on GCP section on the Red Hat OpenShift Console.

2. Create a Cluster

   - Follow the instructions to deploy a new cluster on GCP.

3. Access the Cluster

   - Access the OpenShift web console using the provided URL.

   

Common Troubleshooting Tips

- Networking Issues: Ensure that your firewall allows traffic on necessary ports (e.g., 8443 for the web console).

- Resource Limits: Check that your local machine or cloud instance has sufficient resources.

- Logs and Diagnostics: Use `oc logs` and `oc adm diagnostics` commands to troubleshoot issues.

Conclusion

Setting up an OpenShift environment can vary depending on your platform, but with the steps provided above, you should be able to get up and running smoothly. Whether you choose to run OpenShift locally or on the cloud, the flexibility and power of OpenShift will enhance your containerized application development and deployment process.

[OpenShift](https://example.com/openshift.png)

For further reading and more detailed instructions, refer to the www.qcsdclabs.com 

[devopssentinel]

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

[devopssentinel2000]

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

[noticias-enable]

18 de Agosto, 2020

Internacional

Vulnerabilidad de ejecución remota en Javascript

Los atacantes podrían aprovechar una vulnerabilidad de seguridad revelada recientemente que se encuentra en el paquete serialize-javascript NPM para realizar la ejecución remota de código (RCE). Rastreada como CVE-2020-7660, la vulnerabilidad en serialize-javascript permite a atacantes remotos inyectar código arbitrario a través de la función deleteFunctions dentro de index.js. Las versiones de serialize-javascript inferiores a 3.1.0 se ven afectadas. Es una biblioteca popular con más de 16 millones de descargas y 840 proyectos dependientes. Si un atacante puede controlar los valores de "foo" y "bar" y adivinar el UID, sería posible lograr RCE.

 E.@. CVE-2020-7660 recibió una puntuación de gravedad CVSS de 8.1, dentro del rango 'importante' y al borde de 'crítico'. Sin embargo, en un aviso de Red Hat sobre la vulnerabilidad, la organización ha degradado el problema a 'moderado', ya que las aplicaciones que utilizan serialize-javascript deben poder controlar los datos JSON que pasan a través de él para que se active el error. 

Red Hat señala que las versiones compatibles de Container Native Virtualization 2 no se ven afectadas, pero las versiones heredadas, incluida la 2.0, son vulnerables. Se emitieron correcciones para OpenShift Service Mesh 1.0 / 1.1 (servicemesh-grafana) y está en camino un parche para Red Hat OpenShift Container Platform 4 (openshift4 / ose-prometheus). Debido a la popularidad del paquete, otros repositorios también se ven afectados, incluido el Webpacker de Ruby on Rails.

El domingo (16 de agosto) se emitió una solución para resolver la rama estable, utilizando una versión vulnerable de serialize-javascript. La vulnerabilidad está parcheada en serialize-javascript versión 3.1.0 y ha sido resuelta por los colaboradores mediante cambios en el código, lo que garantiza que los marcadores de posición no estén precedidos por una barra invertida.

 Fuente

[computingpostcom]

In this guide we will be performing an installation of OKD / OpenShift 4.x Cluster on OpenStack Cloud Platform. OpenShift is a powerful, enterprise grade containerization software solution developed by Red Hat. The solution is built around Docker containers orchestrated and managed by Kubernetes on a foundation of Red Hat Enterprise Linux . The OpenShift platform offers automated installation, upgrades, and lifecycle management throughout the container stack – from the operating system, Kubernetes and cluster services, to deployed applications. Operating system that will be used on both the Control plan and Worker machines is Fedora CoreOS (FCOS) for OKD deployment, and Red Hat CoreOS (RHCOS) for OpenShift deployment. This OS includes the kubelet, which is the Kubernetes node agent, and the CRI-O container runtime, which is optimized for Kubernetes. Fedora CoreOS / Red Hat Enterprise Linux CoreOS also includes a critical first-boot provisioning tool called Ignition which enables the cluster to configure the machines. With all the machines in the cluster running on RHCOS/FCOS, the cluster will manage all aspects of its components and machines, including the operating system. Below is a diagram showing subset of the installation targets and dependencies for OpenShift / OKD Cluster. The latest release of OpenShift as of this article writing is version 4.10. Follow the steps outlined in this article to have a working installation of OpenShift / OKD Cluster on OpenStack. There is a requirement of having a running installation of OpenStack Cloud – on-premise, co-located infrastructure or Cloud IaaS setup. Step 1: Download Installation Program / Client Tools Download the installation program(openshift-install) and cluster management tools from: OKD releases tools For OpenShift Cluster Setup: OpenShift releases page OKD 4.10 Installation program and Client tools Install Libvirt to avoid error “./openshift-install: error while loading shared libraries: libvirt-lxc.so.0: cannot open shared object file: No such file or directory“ # CentOS / Fedora / RHEL / Rocky sudo yum -y install libvirt # Ubuntu / Debian sudo apt update sudo apt -y install libvirt-daemon-system libvirt-daemon Downloading OKD 4.x installer: mkdir -p ~/okd/tools cd ~/okd/tools # Linux wget https://github.com/openshift/okd/releases/download/4.10.0-0.okd-2022-03-07-131213/openshift-install-linux-4.10.0-0.okd-2022-03-07-131213.tar.gz # macOS wget https://github.com/openshift/okd/releases/download/4.10.0-0.okd-2022-03-07-131213/openshift-install-mac-4.10.0-0.okd-2022-03-07-131213.tar.gz Extract the file after downloading: # Linux tar xvf openshift-install-linux-4.10.0-0.okd-2022-03-07-131213.tar.gz # macOS tar xvf openshift-install-mac-4.10.0-0.okd-2022-03-07-131213.tar.gz Move resulting binary file to /usr/local/bin directory: sudo mv openshift-install /usr/local/bin Download Client tools: # Linux wget https://github.com/openshift/okd/releases/download/4.10.0-0.okd-2022-03-07-131213/openshift-client-linux-4.10.0-0.okd-2022-03-07-131213.tar.gz tar xvf openshift-client-linux-4.10.0-0.okd-2022-03-07-131213.tar.gz sudo mv kubectl oc /usr/local/bin # macOS wget https://github.com/openshift/okd/releases/download/4.10.0-0.okd-2022-03-07-131213/openshift-client-mac-4.10.0-0.okd-2022-03-07-131213.tar.gz tar xvf openshift-client-mac-4.10.0-0.okd-2022-03-07-131213.tar.gz sudo mv kubectl oc /usr/local/bin Check versions of both oc and openshift-install to confirm successful installation: $ oc version Client Version: 4.10.0-0.okd-2022-03-07-131213 $ openshift-install version openshift-install 4.10.0-0.okd-2022-03-07-131213 built from commit 3b701903d96b6375f6c3852a02b4b70fea01d694 release image quay.io/openshift/okd@sha256:2eee0db9818e22deb4fa99737eb87d6e9afcf68b4e455f42bdc3424c0b0d0896 release architecture amd64 OpenShift 4.x Installation program and client tools (Only for RedHat OpenShift installation)

Before you install OpenShift Container Platform, download the installation file on a local computer. Access the Infrastructure Provider page on the Red Hat OpenShift Cluster Manager site Select your infrastructure provider – (Red Hat OpenStack) Download the installation program for your operating system # Linux mkdir -p ~/ocp/tools cd ~/ocp/tools wget https://mirror.openshift.com/pub/openshift-v4/clients/ocp/stable/openshift-install-linux.tar.gz tar xvf openshift-install-linux.tar.gz sudo mv openshift-install /usr/local/bin/ # macOS wget https://mirror.openshift.com/pub/openshift-v4/clients/ocp/stable/openshift-install-mac.tar.gz tar xvf openshift-install-mac.tar.gz sudo mv openshift-install /usr/local/bin/ Installation of Cluster Management tools: # Linux wget https://mirror.openshift.com/pub/openshift-v4/clients/ocp/stable/openshift-client-linux.tar.gz tar xvf openshift-client-linux.tar.gz sudo mv oc kubectl /usr/local/bin/ # macOS wget https://mirror.openshift.com/pub/openshift-v4/clients/ocp/stable/openshift-client-mac.tar.gz tar xvf openshift-client-mac.tar.gz sudo mv oc kubectl /usr/local/bin/ Confirm installation: $ openshift-install version openshift-install 4.10.6 built from commit 17c2fe7527e96e250e442a15727f7558b2fb8899 release image quay.io/openshift-release-dev/ocp-release@sha256:88b394e633e09dc23aa1f1a61ededd8e52478edf34b51a7dbbb21d9abde2511a release architecture amd64 $ kubectl version --client --short Client Version: v0.23.0 $ oc version Client Version: 4.10.6 Step 2: Configure OpenStack Clouds in clouds.yaml file In OpenStack, clouds.yaml is a configuration file that contains everything needed to connect to one or more clouds. It may contain private information and is generally considered private to a user. OpenStack Client will look for the  clouds.yaml file in the following locations: current working directory ~/.config/openstack /etc/openstack We will place our Clouds configuration file in the ~/.config/openstack directory: mkdir -p ~/.config/openstack/ Create a new file: vim ~/.config/openstack/clouds.yaml Sample configuration contents for two clouds. Change accordinly: clouds: osp1: auth: auth_url: http://192.168.200.2:5000/v3 project_name: admin username: admin password: 'AdminPassword' user_domain_name: Default project_domain_name: Default identity_api_version: 3 region_name: RegionOne osp2: auth: auth_url: http://192.168.100.3:5000/v3 project_name: admin username: admin password: 'AdminPassword' user_domain_name: Default project_domain_name: Default identity_api_version: 3 region_name: RegionOne A cloud can be selected on the command line: $ openstack --os-cloud osp1 network list --format json [ "ID": "44b32734-4798-403c-85e3-fbed9f0d51f2", "Name": "private", "Subnets": [ "1d1f6a6d-9dd4-480e-b2e9-fb51766ded0b" ] , "ID": "70ea2e21-79fd-481b-a8c1-182b224168f6", "Name": "public", "Subnets": [ "8244731c-c119-4615-b134-cfad768a27d4" ] ] Reference: OpenStack Clouds configuration guide Step 3: Create Compute Flavors for OpenShift Cluster Nodes A flavor with at least 16 GB memory, 4 vCPUs, and 25 GB storage space is required for cluster creation. Let’s create the Compute flavor: $ openstack flavor create --ram 16384 --vcpus 4 --disk 30 m1.openshift +----------------------------+--------------------------------------+ | Field | Value | +----------------------------+--------------------------------------+ | OS-FLV-DISABLED:disabled | False | | OS-FLV-EXT-DATA:ephemeral | 0 | | description | None | | disk | 30 |

| id | 90234d29-e059-48ac-b02d-e72ce3f6d771 | | name | m1.openshift | | os-flavor-access:is_public | True | | properties | | | ram | 16384 | | rxtx_factor | 1.0 | | swap | | | vcpus | 4 | +----------------------------+--------------------------------------+ If you have more compute resources you can add more CPU, Memory and Storage to the flavor being created. Step 4: Create Floating IP Addresses You’ll two Floating IP addresses for: A floating IP address to associate with the Ingress port A floating IP Address to associate with the API load balancer. Create API Load balancer floating IP Address: $ openstack floating ip create --description "API ." Create Ingress Floating IP: $ openstack floating ip create --description "Ingress ." You can list your networks using the command: $ openstack network list +--------------------------------------+---------------------+--------------------------------------+ | ID | Name | Subnets | +--------------------------------------+---------------------+--------------------------------------+ | 155ef402-bf39-494c-b2f7-59509828fcc2 | public | 9d0e8119-c091-4a20-b03a-80922f7d43dd | | af7b4f7c-9095-4643-a470-fefb47777ae4 | private | 90805451-e2cd-4203-b9ac-a95dc7d92957 | +--------------------------------------+---------------------+--------------------------------------+ My Floating IP Addresses will be created from the public subnet. An external network should be configured in advance. $ openstack floating ip create --description "API ocp.mycluster.com" public +---------------------+--------------------------------------+ | Field | Value | +---------------------+--------------------------------------+ | created_at | 2021-05-29T19:48:23Z | | description | API ocp.mycluster.com | | dns_domain | None | | dns_name | None | | fixed_ip_address | None | | floating_ip_address | 172.21.200.20 | | floating_network_id | 155ef402-bf39-494c-b2f7-59509828fcc2 | | id | a0f41edb-c90b-417d-beff-9c03f180c71b | | name | 172.21.200.20 | | port_details | None | | port_id | None | | project_id | d0515ffa23c24e54a3b987b491f17acb | | qos_policy_id | None | | revision_number | 0 | | router_id | None | | status | DOWN | | subnet_id | None | | tags | [] | | updated_at | 2021-05-29T19:48:23Z | +---------------------+--------------------------------------+ $ openstack floating ip create --description "Ingress ocp.mycluster.com" public +---------------------+--------------------------------------+ | Field | Value | +---------------------+--------------------------------------+ | created_at | 2021-05-29T19:42:02Z | | description | Ingress ocp.mycluster.com | | dns_domain | None | | dns_name | None |

| fixed_ip_address | None | | floating_ip_address | 172.21.200.22 | | floating_network_id | 155ef402-bf39-494c-b2f7-59509828fcc2 | | id | 7035ff39-2903-464c-9ffc-c07a3245448d | | name | 172.21.200.22 | | port_details | None | | port_id | None | | project_id | d0515ffa23c24e54a3b987b491f17acb | | qos_policy_id | None | | revision_number | 0 | | router_id | None | | status | DOWN | | subnet_id | None | | tags | [] | | updated_at | 2021-05-29T19:42:02Z | +---------------------+--------------------------------------+ Step 5: Create required DNS Entries Access your DNS server management portal or console and create required DNS entries: api... IN A *.apps... IN A Where:  is the base domain – e.g computingpost.com  is the name that will be given to your cluster – e.g ocp  is the floating IP address created in Step 4 for API load balancer  is the floating IP address created in Step 4 for Ingress (Access to apps deployed) Example of API DNS entry: Example of Ingress DNS entry: Step 6: Generate OpenShift install-config.yaml file From the Pull Secret page on the Red Hat OpenShift Cluster Manager site, download your installation pull secret as a .txt file. Run the following command to generate install-config.yaml file: cd ~/ openshift-install create install-config --dir= For , specify the directory name to store the files that the installation program creates. The installation directory specified must be empty. Example: $ openshift-install create install-config --dir=ocp At the prompts, provide the configuration details for your cloud: ? Platform openstack # Select openstack as the platform to target. ? Cloud osp1 # Choose cloud configured in clouds.yml ? ExternalNetwork public # Specify OpenStack external network name to use for installing the cluster. ? APIFloatingIPAddress [Use arrows to move, enter to select, type to filter, ? for more help] > 172.21.200.20 # Specify the floating IP address to use for external access to the OpenShift API 172.21.200.22 ? FlavorName [Use arrows to move, enter to select, type to filter, ? for more help] m1.large m1.magnum m1.medium > m1.openshift # Specify a RHOSP flavor with at least 16 GB RAM to use for control plane and compute nodes. m1.small m1.tiny m1.xlarge ? Base Domain [? for help] mycluster.com # Select the base domain to deploy the cluster to ? Cluster Name ocp # Enter a name for your cluster. The name must be 14 or fewer characters long. ? Pull Secret [? for help] INFO Install-Config created in: ocp File creation $ ls ocp/ install-config.yaml You can edit to customize further: $ vim ocp/install-config.yaml Confirm that Floating IPs are added to the install-config.yaml file as the values of the following parameters: platform.openstack.ingressFloatingIP platform.openstack.apiFloatingIP Example: ... platform: openstack: apiFloatingIP: 172.21.200.20 ingressFloatingIP: 172.21.200.22 apiVIP: 10.0.0.5 cloud: osp1 Also add ssh public key $ vim ocp/install-config.yaml ... sshKey: replace-me-with-ssh-pub-key-contents If you do not have an SSH key that is configured for password-less authentication on your computer, create one: $ ssh-keygen -t ed25519 -N '' -f / Step 7: Deploy OKD / OpenShift Cluster on OpenStack Change to the directory that contains the installation program and backup up the install-config.yaml file: cp install-config.yaml install-config.yaml.bak Initialize the cluster deployment:

$ openshift-install create cluster --dir=ocp --log-level=info INFO Credentials loaded from file "/root/.config/openstack/clouds.yaml" INFO Consuming Install Config from target directory INFO Obtaining RHCOS image file from 'https://builds.coreos.fedoraproject.org/prod/streams/stable/builds/33.20210217.3.0/x86_64/fedora-coreos-33.20210217.3.0-openstack.x86_64.qcow2.xz?sha256=ae088d752a52859ad38c53c29090efd5930453229ef6d1204645916aab856fb1' INFO The file was found in cache: /root/.cache/openshift-installer/image_cache/41b2fca6062b458e4d5157ca9e4666f2. Reusing... INFO Creating infrastructure resources... INFO Waiting up to 20m0s for the Kubernetes API at https://api.ocp.mycluster.com:6443... INFO API v1.20.0-1073+df9c8387b2dc23-dirty up INFO Waiting up to 30m0s for bootstrapping to complete... INFO Destroying the bootstrap resources... INFO Waiting up to 40m0s for the cluster at https://api.ocp.mycluster.com:6443 to initialize... INFO Waiting up to 10m0s for the openshift-console route to be created... INFO Install complete! INFO To access the cluster as the system:admin user when using 'oc', run 'export KUBECONFIG=/root/okd/ocp/auth/kubeconfig' INFO Access the OpenShift web-console here: https://console-openshift-console.apps.ocp.mycluster.com INFO Login to the console with user: "kubeadmin", and password: "33yzG-Ogiup-huGI9" INFO Time elapsed: 42m39s Listing created servers on OpenStack: $ openstack server list --column Name --column Networks --column Status +--------------------------------------+--------+---------------------------------------+ | Name | Status | Networks | +--------------------------------------+--------+---------------------------------------+ | ocp-nlrnw-worker-0-nz2ch | ACTIVE | ocp-nlrnw-openshift=10.0.1.197 | | ocp-nlrnw-worker-0-kts42 | ACTIVE | ocp-nlrnw-openshift=10.0.0.201 | | ocp-nlrnw-worker-0-92kvf | ACTIVE | ocp-nlrnw-openshift=10.0.2.197 | | ocp-nlrnw-master-2 | ACTIVE | ocp-nlrnw-openshift=10.0.3.167 | | ocp-nlrnw-master-1 | ACTIVE | ocp-nlrnw-openshift=10.0.1.83 | | ocp-nlrnw-master-0 | ACTIVE | ocp-nlrnw-openshift=10.0.0.139 | +--------------------------------------+--------+---------------------------------------+ Export the cluster access config file: export KUBECONFIG=ocp/auth/kubeconfig You can as well make it default kubeconfig: cp ocp/auth/kubeconfig ~/.kube/config List available nodes in the cluster $ oc get nodes NAME STATUS ROLES AGE VERSION ocp-nlrnw-master-0 Ready master 3h48m v1.20.0+df9c838-1073 ocp-nlrnw-master-1 Ready master 3h48m v1.20.0+df9c838-1073 ocp-nlrnw-master-2 Ready master 3h48m v1.20.0+df9c838-1073 ocp-nlrnw-worker-0-92kvf Ready worker 3h33m v1.20.0+df9c838-1073 ocp-nlrnw-worker-0-kts42 Ready worker 3h33m v1.20.0+df9c838-1073 ocp-nlrnw-worker-0-nz2ch Ready worker 3h33m v1.20.0+df9c838-1073 View your cluster cluster’s version: $ oc get clusterversion NAME VERSION AVAILABLE PROGRESSING SINCE STATUS version 4.10.0-0.okd-2022-03-07-131213 True False 3h16m Cluster version is 4.10.0-0.okd-2022-03-07-131213 Confirm that all cluster operators are available and none is degraded: $ oc get clusteroperator NAME VERSION AVAILABLE PROGRESSING DEGRADED SINCE authentication 4.10.0-0.okd-2022-03-07-131213 True False False 3h24m baremetal 4.10.0-0.okd-2022-03-07-131213 True False False 3h52m cloud-credential 4.10.0-0.okd-2022-03-07-131213 True False False 3h57m cluster-autoscaler 4.

10.0-0.okd-2022-03-07-131213 True False False 3h51m config-operator 4.10.0-0.okd-2022-03-07-131213 True False False 3h52m console 4.10.0-0.okd-2022-03-07-131213 True False False 3h31m csi-snapshot-controller 4.10.0-0.okd-2022-03-07-131213 True False False 3h52m dns 4.10.0-0.okd-2022-03-07-131213 True False False 3h51m etcd 4.10.0-0.okd-2022-03-07-131213 True False False 3h51m image-registry 4.10.0-0.okd-2022-03-07-131213 True False False 3h37m ingress 4.10.0-0.okd-2022-03-07-131213 True False False 3h38m insights 4.10.0-0.okd-2022-03-07-131213 True False False 3h45m kube-apiserver 4.10.0-0.okd-2022-03-07-131213 True False False 3h49m kube-controller-manager 4.10.0-0.okd-2022-03-07-131213 True False False 3h50m kube-scheduler 4.10.0-0.okd-2022-03-07-131213 True False False 3h49m kube-storage-version-migrator 4.10.0-0.okd-2022-03-07-131213 True False False 3h37m machine-api 4.10.0-0.okd-2022-03-07-131213 True False False 3h46m machine-approver 4.10.0-0.okd-2022-03-07-131213 True False False 3h51m machine-config 4.10.0-0.okd-2022-03-07-131213 True False False 3h50m marketplace 4.10.0-0.okd-2022-03-07-131213 True False False 3h50m monitoring 4.10.0-0.okd-2022-03-07-131213 True False False 3h37m network 4.10.0-0.okd-2022-03-07-131213 True False False 3h52m node-tuning 4.10.0-0.okd-2022-03-07-131213 True False False 3h50m openshift-apiserver 4.10.0-0.okd-2022-03-07-131213 True False False 3h45m openshift-controller-manager 4.10.0-0.okd-2022-03-07-131213 True False False 3h44m openshift-samples 4.10.0-0.okd-2022-03-07-131213 True False False 3h43m operator-lifecycle-manager 4.10.0-0.okd-2022-03-07-131213 True False False 3h52m operator-lifecycle-manager-catalog 4.10.0-0.okd-2022-03-07-131213 True False False 3h52m operator-lifecycle-manager-packageserver 4.10.0-0.okd-2022-03-07-131213 True False False 3h46m service-ca 4.10.0-0.okd-2022-03-07-131213 True False False 3h52m storage 4.10.0-0.okd-2022-03-07-131213 True False False 3h50m You can always print OpenShift Login Console using the command: $ oc whoami --show-console https://console-openshift-console.apps.ocp.mycluster.com You can then login using URL printed out: Step 8: Configure HTPasswd Identity Provider By default you’ll login in as a temporary administrative user and you need to update the cluster OAuth configuration to allow others to log in. Refer to guide in the link below: Manage OpenShift / OKD Users with HTPasswd Identity Provider Uninstalling OKD / OpenShift Cluster For you to destroy Cluster created on OpenStack you’ll need to have: A copy of the installation program that you used to deploy the cluster. Files that the installation program generated when you created your cluster.

A cluster can then be destroyed using the command below: $ openshift-install destroy cluster --dir= --log-level=info You can optionally delete the directory and the OpenShift Container Platform installation program.