#red hat openshift clusters

[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…

[mitchipedia]

The Flaming Fedora fellowship at Red Hat debuts OpenShift Service on AWS (ROSA) with hosted control plane, which it claims can cut costs of running Kubernetes clusters by 20%. I wrote this.

[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 

[govindhtech]

IBM & Pasqal: Quantum Centric Supercomputing Breakthrough

Quantum centric supercomputing

Leading innovators in neutral atom-based quantum computing and superconducting circuit technology, IBM and Pasqal, respectively, today announced their intention to collaborate in order to create a shared strategy for quantum-centric supercomputing and advance application research in materials science and chemistry. To provide the groundwork for quantum-centric supercomputing the fusion of quantum and sophisticated classical computing to build the next generation of supercomputers IBM and Pasqal will collaborate with top high-performance computing institutes.

Together, They hope to establish the software integration architecture for a supercomputer focused on quantum computing that coordinates computational processes between several quantum computing modalities and sophisticated classical compute clusters. The two businesses have the same goal of using open-source software and community interaction to drive their integration strategy. A regional HPC technical forum in Germany is set to be co-sponsored by them, with intentions to expand this initiative into other regions.

The joint goal of IBM and Pasqal to promote utility-scale industry adoption in materials research and chemistry a field where quantum-centric supercomputing exhibits immediate promise is a crucial component of this partnership effort. Through the utilisation of their respective full-stack quantum computing leadership roles and collaboration with IBM’s Materials working group, which was founded last year, Jointly they want to significantly improve the usage of quantum computing for applications in chemistry and material sciences. The team will keep investigating the most effective ways to develop workflows that combine quantum and classical computing to enable utility-scale chemistry computation.

High-performance computing is heading towards quantum-centric supercomputing, which can be used to achieve near-term quantum advantage in chemistry, materials science, and other scientific applications. IBM can ensure an open, hardware-agnostic future that benefits IBM’s clients and consumers more thanks to IBM’s relationship with Pasqal.”I am excited that will be working with us to introduce quantum-centric supercomputing to the global community,” stated Jay Gambetta, Vice President of IBM Quantum and IBM Fellow.

As Pasqal start collaboration with IBM, this marks a significant turning point for the quantum computing industry. Pasqal is excited to pool IBM’s resources in order to pursue a very ambitious objective: the establishment of commercial best practices for quantum-centric supercomputing. By utilising the advantages of both technologies, Pasqal is prepared to match the accelerating pace of Pasqal’s customers needs and meet their growing demands.

Concerning IBM

Globally, IBM is a leading provider of hybrid cloud technologies, AI, and consulting services. Pasqal support customers in over 175 countries to take advantage of data insights, optimise business operations, cut expenses, and obtain a competitive advantage in their sectors. Red Hat OpenShift and IBM’s hybrid cloud platform are used by over 4,000 government and corporate entities in key infrastructure domains including financial services, telecommunications, and healthcare to facilitate digital transformations that are swift, secure, and efficient. Open and flexible alternatives are provided to IBM’s clients via IBM’s ground-breaking advances in AI, quantum computing, industry-specific cloud solutions, and consultancy. IBM’s longstanding dedication to transparency, accountability, inclusion, trust, and service supports all of this.

Pasqal

Leading provider of quantum computing, Pasqal constructs quantum processors from ordered neutral atoms in 2D and 3D arrays to give its clients a useful quantum edge and solve issues in the real world. In 2019, It was established by Georges-Olivier Reymond, Christophe Jurczak, Professor Dr. Alain Aspect, who was awarded the Nobel Prize in Physics in 2022, Dr. Antoine Browaeys, and Dr. Thierry Lahaye, from the Institut d’Optique. To date, It has raised more than €140 million in funding.

Overview of IBM and Pasqal’s Collaboration:

Goal

The goal of IBM and Pasqal’s partnership is to investigate and specify the integration of classical and quantum computing in quantum-centric supercomputers. The advancement of quantum computing technologies and their increased applicability for a wide range of uses depend on this integration.

Classical-Quantum Integration

While quantum computing is more effective at solving some complicated issues, classical computing is still used for handling traditional data processing tasks. Creating hybrid systems that take advantage of the advantages of both classical and quantum computing is part of the integration process.

Quantum-Centric Supercomputers:

Supercomputers with a focus on quantum computing that also use classical processing to optimise and manage quantum operations are known as quantum-centric supercomputers. The objective is to apply the concepts of quantum mechanics to supercomputers in order to increase their performance and capacities.

Possible Advantages

Innovations in fields like materials science, complex system simulations, cryptography, and medicine may result from this integration. These supercomputers can solve problems that are now unsolvable for classical systems alone by merging classical and quantum resources.

Research & Development

IBM and Pasqal will work together to develop technologies, exchange knowledge, and undertake research initiatives that will enable the smooth integration of classical and quantum computing. To support hybrid computing models, hardware, software, and algorithms must be developed.

Long-Term Vision

This collaboration’s long-term goal is to open the door for a new generation of supercomputers that can meet the ever-increasing computational demands of diverse industrial and research domains.

Read more on Govindhtech.com

[amritatechh]

"Pioneer the Future: Red Hat OpenShift Administration II - Operating a Production Kubernetes Cluster"-DO280 Visit: https://amritahyd.org/ Enroll Now- 90005 80570

#AmritaTechnologies #amrita #DO280#rh280 #RHCSA #LinuxCertification #TechEnthusiasts #LinuxMastery #RH294#do374course #OpenSourceJourney #DO374Empower

[yanashin-blog]

Amazon Elastic Kubernetes Service (EKS): EKS offers a highly scalable and reliable managed Kubernetes service that integrates well with other AWS services.

Azure Kubernetes Service (AKS): AKS is Microsoft’s managed Kubernetes service that offers integration with Azure Active Directory and support for Windows containers.

Google Kubernetes Engine (GKE): GKE is Google’s managed Kubernetes service that offers fast, reliable, and scalable deployment of containerized applications on Google Cloud.

Rackspace Kubernetes-as-a-Service (KaaS): KaaS offers a fully managed Kubernetes service that provides automated cluster scaling and a wide range of support options.

Red Hat OpenShift Kubernetes Engine: OpenShift is a fully integrated container platform supporting enterprise-level applications, security, and governance.

VMware Tanzu Kubernetes Grid (TKG): TKG provides a Kubernetes runtime environment for running applications across multiple clouds and data centers.

IBM Cloud Kubernetes Service (IKS): IKS is IBM’s managed Kubernetes service that offers integration with Watson AI services and support for deploying GPU workloads.

Vultr Kubernetes Engine: Vultr provides a low-cost, scalable, managed Kubernetes service that is easy to deploy and manage.

Platform9: Platform9 offers a fully managed Kubernetes service that supports hybrid and multi-cloud environments, monitoring, and alerts.

DigitalOcean Kubernetes: DigitalOcean offers an easy-to-use managed Kubernetes service that provides fast deployment and integration with other DigitalOcean services.

[webashatech]

Red Hat OpenShift Administration is a course focused on teaching administrators how to manage and operate a Red Hat OpenShift cluster. OpenShift is a container application platform that provides a secure and scalable platform for deploying, managing, and running applications in containers. The course covers topics such as installation and configuration of OpenShift, setting up user authentication and authorization, managing application deployment, scaling applications, and monitoring the health and performance of the OpenShift cluster. Upon completion of the Red Hat OpenShift Administration course, participants will have the skills and knowledge to effectively manage and operate an OpenShift cluster in a production environment.

[johnthetechenthusiast]

Register here:https://lnkd.in/dNtCpmXB

Join the masterclasses with Vatsal Thakor about OpenShift on 5th November at 11 AM and get a 100% placement guarantee!!🤩

Red Hat OpenShift Administration Scaling Kubernetes Deployments in the Enterprise expands upon the skills required to plan, implement, and manage OpenShift® clusters in the enterprise. You will learn how to support a growing number of stakeholders, applications, and users to achieve large-scale deployments.✅

Let's understand the OpenShift Learning path with our expert!! Don't lose this opportunity click the above link to join us!✨

[amritatechnologies]

Red Hat OpenShift

Learn to build and manage containers for deployment on a Kubernetes and Red Hat OpenShift cluster.

Course Overview:

Red Hat OpenShift I: Containers & Kubernetes (DO180) helps you build core knowledge in managing containers through hands-on experience with containers, Kubernetes, and the Red Hat® OpenShift® Container Platform. These skills are needed for multiple roles, including developers, administrators, and site reliability engineers. This course is based on Red Hat OpenShift Container Platform 4.5.

Audience for this course:

Developers who wish to containerize software applications

Administrators who are new to container technology and container orchestration

Architects who are considering using container technologies in software architectures

Site reliability engineers who are considering using Kubernetes and Red Hat OpenShift

Prerequisites for this course:

Be able to use a Linux terminal session, issue operating system commands, and be familiar with shell scripting

Have experience with web application architectures and their corresponding technologies

Being a Red Hat Certified System Administrator (RHCSA®) is recommended, but not required

https://primetime.bluejeans.com/a2m/register/tvfkdeex

[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

[codecraftshop]

Login to openshift cluster in different ways | openshift 4

There are several ways to log in to an OpenShift cluster, depending on your needs and preferences. Here are some of the most common ways to log in to an OpenShift 4 cluster: Using the Web Console: OpenShift provides a web-based console that you can use to manage your cluster and applications. To log in to the console, open your web browser and navigate to the URL for the console. You will be…

[pinerstamp]

Luxcorerender reality 4.3

#LUXCORERENDER REALITY 4.3 FULL#

The reality is more nuanced, and the community had to work to get proper docker-compose support in Microcks for Podman. Advocates gave the impression that you could issue alias docker=podman and you would be good to go. Podman was advertised as a drop-in replacement for Docker. Although Docker is still the most popular container option for software packaging and installation, Podman is gaining traction. Developers who do not have corporate access to a cloud-native platform have used Docker Compose. You can deploy Microcks in a wide variety of cloud-native platforms, such as Kubernetes and Red Hat OpenShift. It can also assert that your API implementation conforms to your OpenAPI specifications.

#LUXCORERENDER REALITY 4.3 FULL#

It helps you cover your API’s full lifecycle by taking your OpenAPI specifications and generating live mocks from them. Microcks is a cloud-native API mocking and testing tool. Using Podman Compose with Microcks: A cloud-native API mocking and testing tool.Equinix open sourced the platform last May, and it was accepted as a CNCF sandbox project in November 2020. The platform's cloud-native and workflow-driven approach has been tested in production with the Equinix Metal automated bare metal service. Originally developed by Equinix, the Tinkerbell platform is a collection of microservices designed to help organizations transform static physical hardware into programmable digital infrastructure, regardless of manufacturer, processor architecture, internal components, or networking environment. The latest release comes with a new, next-gen, in-memory operating system installation environment the ability to share common workflow actions using the CNCF Artifact Hub support for Cluster API and out-of-the-box support from a long list of operating systems. The open-source bare metal provisioning platform known as Tinkerbell has been growing its feature set since it joined the Cloud Native Computing Foundation (CNCF) sandbox program a year ago, belying its diminutive name with sizeable new capabilities. Open-Source Bare Metal Provisioning Platform, Tinkerbell, Spreads Its Wings in the CNCF Sandbox.

[qcs01]

Deploying a Containerized Application with Red Hat OpenShift

Introduction

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

What is Red Hat OpenShift?

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

Prerequisites

Before we begin, ensure you have the following:

A Red Hat OpenShift cluster

Access to the OpenShift command-line interface (CLI)

A containerized application (Docker image)

Step 1: Setting Up Your OpenShift Environment

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

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

Step 2: Creating a New Project

Create a new project for your application:

oc new-project my-app

Step 3: Deploying Your Application

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

oc new-app my-docker-image

Step 4: Exposing Your Application

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

oc expose svc/my-app

Use Cases

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

Best Practices

Use health checks to ensure your applications are running smoothly.

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

Performance and Scalability

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

Security Considerations

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

Troubleshooting

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

oc logs pod-name

Conclusion

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

[govindhtech]

IaC Sights into IBM Cloud Edge VPC Deployable Architecture

VPC Management

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

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

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

Edge VPC setup

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

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

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

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

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

VPC Patterns that adhere to recommended standards

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

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

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

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

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

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

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

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

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

Configure each VPC’s VPEs for Cloud Object Storage.

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

Activate the management VPC VPN gateway.

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

Patterns of landing zones

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

First, the VPC Pattern

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

The VSI pattern QuickStart with edge VPC

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

ROKS pattern QuickStart

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

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

Pattern of virtual servers

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

Pattern of Red Hat OpenShift

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

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

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

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

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

Read more on govindhtech.com

[amritatechh]

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