#deploy image in openshift

[hawkstack]

Migrating Virtual Machines to Red Hat OpenShift Virtualization with Ansible Automation Platform

As enterprises modernize their infrastructure, migrating traditional virtual machines (VMs) to container-native platforms is no longer just a trend — it’s a necessity. One of the most powerful solutions for this evolution is Red Hat OpenShift Virtualization, which allows organizations to run VMs side-by-side with containers on a unified Kubernetes platform. When combined with Red Hat Ansible Automation Platform, this migration can be automated, repeatable, and efficient.

In this blog, we’ll explore how enterprises can leverage Ansible to seamlessly migrate workloads from legacy virtualization platforms (like VMware or KVM) to OpenShift Virtualization.

🔍 Why OpenShift Virtualization?

OpenShift Virtualization extends OpenShift’s capabilities to include traditional VMs, enabling:

Unified management of containers and VMs

Native integration with Kubernetes networking and storage

Simplified CI/CD pipelines that include VM-based workloads

Reduction of operational overhead and licensing costs

🛠️ The Role of Ansible Automation Platform

Red Hat Ansible Automation Platform is the glue that binds infrastructure automation, offering:

Agentless automation using SSH or APIs

Pre-built collections for platforms like VMware, OpenShift, KubeVirt, and more

Scalable execution environments for large-scale VM migration

Role-based access and governance through automation controller (formerly Tower)

🧭 Migration Workflow Overview

A typical migration flow using Ansible and OpenShift Virtualization involves:

1. Discovery Phase

Inventory the source VMs using Ansible VMware/KVM modules.

Collect VM configuration, network settings, and storage details.

2. Template Creation

Convert the discovered VM configurations into KubeVirt/OVIRT VM manifests.

Define OpenShift-native templates to match the workload requirements.

3. Image Conversion and Upload

Use tools like virt-v2v or Ansible roles to export VM disk images (VMDK/QCOW2).

Upload to OpenShift using Containerized Data Importer (CDI) or PVCs.

4. VM Deployment

Deploy converted VMs as KubeVirt VirtualMachines via Ansible Playbooks.

Integrate with OpenShift Networking and Storage (Multus, OCS, etc.)

5. Validation & Post-Migration

Run automated smoke tests or app-specific validation.

Integrate monitoring and alerting via Prometheus/Grafana.

- name: Deploy VM on OpenShift Virtualization

  hosts: localhost

  tasks:

    - name: Create PVC for VM disk

      k8s:

        state: present

        definition: "{{ lookup('file', 'vm-pvc.yaml') }}"

    - name: Deploy VirtualMachine

      k8s:

        state: present

        definition: "{{ lookup('file', 'vm-definition.yaml') }}"

🔐 Benefits of This Approach

✅ Consistency – Every VM migration follows the same process.

✅ Auditability – Track every step of the migration with Ansible logs.

✅ Security – Ansible integrates with enterprise IAM and RBAC policies.

✅ Scalability – Migrate tens or hundreds of VMs using automation workflows.

🌐 Real-World Use Case

At HawkStack Technologies, we’ve successfully helped enterprises migrate large-scale critical workloads from VMware vSphere to OpenShift Virtualization using Ansible. Our structured playbooks, coupled with Red Hat-supported tools, ensured zero data loss and minimal downtime.

🔚 Conclusion

As cloud-native adoption grows, merging the worlds of VMs and containers is no longer optional. With Red Hat OpenShift Virtualization and Ansible Automation Platform, organizations get the best of both worlds — a powerful, policy-driven, scalable infrastructure that supports modern and legacy workloads alike.

If you're planning a VM migration journey or modernizing your data center, reach out to HawkStack Technologies — Red Hat Certified Partners — to accelerate your transformation. For more details www.hawkstack.com 

[govindhtech]

Red Hat Summit 2025: Microsoft Drives into Cloud Innovation

Microsoft at Red Hat Summit 2025

Microsoft is thrilled to announce that it will be a platinum sponsor of Red Hat Summit 2025, an IT community favourite. IT professionals can learn, collaborate, and build new technologies from the datacenter, public cloud, edge, and beyond at Red Hat Summit 2025, a major enterprise open source event. Microsoft's partnership with Red Hat is likely to be a highlight this year, displaying collaboration's power and inventive solutions.

This partnership has changed how organisations operate and serve customers throughout time. Red Hat's open-source leadership and Microsoft's cloud knowledge synergise to advance technology and help companies.

Red Hat's seamless integration with Microsoft Azure is a major benefit of the alliance. These connections let customers build, launch, and manage apps on a stable and flexible platform. Azure and Red Hat offer several tools for system modernisation and cloud-native app development. Red Hat OpenShift on Azure's scalability and security lets companies deploy containerised apps. Azure Red Hat Enterprise Linux is trustworthy for mission-critical apps.

Attend Red Hat Summit 2025 to learn about these technologies. Red Hat and Azure will benefit from Microsoft and Red Hat's new capabilities and integrations. These improvements in security and performance aim to meet organisations' digital needs.

WSL RHEL

This lets Red Hat Enterprise Linux use Microsoft Subsystem for Linux. WSL lets creators run Linux on Windows. RHEL for WSL lets developers run RHEL on Windows without a VM. With a free Red Hat Developer membership, developers may install the latest RHEL WSL image on their Windows PC and run Windows and RHEL concurrently.

Red Hat OpenShift Azure

Red Hat and Microsoft are enhancing security with Confidential Containers on Azure Red Hat OpenShift, available in public preview. Memory encryption and secure execution environments provide hardware-level workload security for healthcare and financial compliance. Enterprises may move from static service principals to dynamic, token-based credentials with Azure Red Hat OpenShift's managed identity in public preview.

Reduced operational complexity and security concerns enable container platform implementation in regulated environments. Azure Red Hat OpenShift has reached Spain's Central region and plans to expand to Microsoft Azure Government (MAG) and UAE Central by Q2 2025. Ddsv5 instance performance optimisation, enterprise-grade cluster-wide proxy, and OpenShift 4.16 compatibility are added. Red Hat OpenShift Virtualisation on Azure is also entering public preview, allowing customers to unify container and virtual machine administration on a single platform and speed up VM migration to Azure without restructuring.

RHEL landing area

Deploying, scaling, and administering RHEL instances on Azure uses Azure-specific system images. A landing zone lesson. Red Hat Satellite and Satellite Capsule automate software lifecycle and provide timely updates. Azure's on-demand capacity reservations ensure reliable availability in Azure regions, improving BCDR. Optimised identity management infrastructure deployments decrease replication failures and reduce latencies.

Azure Migrate application awareness and wave planning

By delivering technical and commercial insights for the whole application and categorising dependent resources into waves, the new application-aware methodology lets you pick Azure targets and tooling. A collection of dependent applications should be transferred to Azure for optimum cost and performance.

JBossEAP on AppService

Red Hat and Microsoft developed and maintain JBoss EAP on App Service, a managed tool for running business Java applications efficiently. Microsoft Azure recently made substantial changes to make JBoss EAP on App Service more inexpensive. JBoss EAP 8 offers a free tier, memory-optimized SKUs, and 60%+ license price reductions for Make monthly payments subscriptions and the soon-to-be-released Bring-Your-Own-Subscription to App Service.

JBoss EAP on Azure VMs

JBoss EAP on Azure Virtual Machines is currently GA with dependable solutions. Microsoft and Red Hat develop and maintain solutions. Automation templates for most basic resource provisioning tasks are available through the Azure Portal. The solutions include Azure Marketplace JBoss EAP VM images.

Red Hat Summit 2025 expectations

Red Hat Summit 2025 should be enjoyable with seminars, workshops, and presentations. Microsoft will offer professional opinions on many subjects. Unique announcements and product debuts may shape technology.

This is a rare chance to network with executives and discuss future projects. Mission: digital business success through innovation. Azure delivers the greatest technology and service to its customers.

Read about Red Hat on Azure

Explore Red Hat and Microsoft's cutting-edge solutions. Register today to attend the conference and chat to their specialists about how their cooperation may aid your organisation.

[qcsdslabs]

Migrating Virtual Machines to OpenShift: Tools and Techniques

In today’s rapidly evolving IT landscape, organizations are increasingly adopting container platforms like OpenShift to modernize their applications and improve operational efficiency. As a part of this transformation, migrating virtual machines (VMs) to OpenShift has become a critical task. This blog delves into the tools and techniques that can facilitate this migration, ensuring a smooth transition to a containerized environment.

Why Migrate to OpenShift?

OpenShift, a Kubernetes-based container orchestration platform, provides significant advantages, including:

Scalability: Seamless scaling of applications to meet demand.

Portability: Consistent deployment across hybrid and multi-cloud environments.

DevOps Enablement: Improved collaboration between development and operations teams.

Migrating VMs to OpenShift allows organizations to modernize legacy workloads, reduce infrastructure costs, and take full advantage of container-native features.

Key Challenges in Migration

Migrating VMs to OpenShift is not without challenges:

Application Compatibility: Ensuring applications in VMs can function effectively in containers.

Stateful Workloads: Handling persistent data and storage requirements.

Performance Optimization: Maintaining or improving performance post-migration.

Downtime: Minimizing service disruption during migration.

Addressing these challenges requires a well-defined strategy and the right set of tools.

Tools for VM Migration to OpenShift

KubeVirt

What It Does: KubeVirt enables the deployment of VMs on Kubernetes, allowing you to run VMs alongside containerized workloads on OpenShift.

Use Case: Ideal for scenarios where you need to retain VMs in their current state while leveraging OpenShift’s orchestration capabilities.

OpenShift Virtualization

What It Does: Built on KubeVirt, OpenShift Virtualization integrates VMs into the OpenShift ecosystem. It simplifies managing VMs and containers in a unified platform.

Use Case: Useful for hybrid environments transitioning to containers while managing existing VM workloads.

Migration Toolkit for Virtualization (MTV)

What It Does: MTV automates the migration of VMs to OpenShift Virtualization. It supports multiple source platforms, including VMware and Red Hat Virtualization.

Key Features: Bulk migrations, resource mapping, and pre-migration validation.

Containerization Tools

Example: Buildah or Podman for converting VM-based applications into container images.

Use Case: Suitable for applications that can be refactored into containers rather than running as VMs.

Techniques for a Successful Migration

Assessment and Planning

Conduct a thorough analysis of existing workloads, dependencies, and compatibility with OpenShift.

Categorize workloads into those that can be containerized, require refactoring, or need to remain as VMs.

Pilot Testing

Begin with a small set of non-critical workloads to validate migration tools and techniques.

Identify and resolve potential issues early.

Incremental Migration

Migrate workloads in phases, prioritizing applications with fewer dependencies.

Monitor performance and stability at each stage.

Leverage Persistent Storage

Use OpenShift’s persistent storage options like OpenShift Container Storage to address stateful application needs.

Automation and Monitoring

Utilize CI/CD pipelines for deploying containerized applications post-migration.

Monitor workloads closely using OpenShift’s built-in tools to ensure optimal performance.

Post-Migration Best Practices

Optimize Resources: Reallocate resources to take advantage of OpenShift’s dynamic scheduling and scaling features.

Train Teams: Equip your IT teams with the knowledge and skills to manage the new containerized environment.

Continuous Improvement: Regularly review and optimize workloads to ensure they align with organizational goals.

Conclusion

Migrating VMs to OpenShift is a transformative step toward modernizing your IT infrastructure. While the process requires careful planning and execution, leveraging tools like KubeVirt, OpenShift Virtualization, and MTV can significantly simplify the journey. By adopting a phased approach and following best practices, organizations can unlock the full potential of OpenShift, enabling agility, scalability, and innovation.

For more details visit: www.hawkstack.com

[qcs01]

Becoming a Red Hat Certified OpenShift Application Developer (DO288)

In today's dynamic IT landscape, containerization has become a crucial skill for developers and system administrators. Red Hat's OpenShift platform is at the forefront of this revolution, providing a robust environment for managing containerized applications. For professionals aiming to validate their skills and expertise in this area, the Red Hat Certified OpenShift Application Developer (DO288) certification is a prestigious and highly valued credential. This blog post will delve into what the DO288 certification entails, its benefits, and tips for success.

What is the Red Hat Certified OpenShift Application Developer (DO288) Certification?

The DO288 certification focuses on developing, deploying, and managing applications on Red Hat OpenShift Container Platform. OpenShift is a Kubernetes-based platform that automates the process of deploying and scaling applications. The DO288 exam tests your ability to design, build, and deploy cloud-native applications on OpenShift.

Why Pursue the DO288 Certification?

Industry Recognition: Red Hat certifications are globally recognized and respected in the IT industry. Obtaining the DO288 credential can significantly enhance your professional credibility and open up new career opportunities.

Skill Validation: The certification validates your expertise in OpenShift, ensuring you have the necessary skills to handle real-world challenges in managing containerized applications.

Career Advancement: With the increasing adoption of containerization and Kubernetes, professionals with OpenShift skills are in high demand. This certification can lead to roles such as OpenShift Developer, DevOps Engineer, and Cloud Architect.

Competitive Edge: In a competitive job market, having the DO288 certification on your resume sets you apart from other candidates, showcasing your commitment to staying current with the latest technologies.

Exam Details and Preparation

The DO288 exam is performance-based, meaning you will be required to perform tasks on a live system rather than answering multiple-choice questions. This format ensures that certified professionals possess practical, hands-on skills.

Key Exam Topics:

Managing application source code with Git.

Creating and deploying applications from source code.

Managing application builds and image streams.

Configuring application environments using environment variables, ConfigMaps, and Secrets.

Implementing health checks to ensure application reliability.

Scaling applications to meet demand.

Securing applications with OpenShift’s security features.

Preparation Tips:

Training Courses: Enroll in Red Hat's official DO288 training course. This course provides comprehensive coverage of the exam objectives and includes hands-on labs to practice your skills.

Hands-on Practice: Set up a lab environment to practice the tasks outlined in the exam objectives. Familiarize yourself with the OpenShift web console and command-line interface (CLI).

Study Guides and Resources: Utilize Red Hat’s official study guides and documentation. Online communities and forums can also be valuable resources for tips and troubleshooting advice.

Mock Exams: Take practice exams to assess your readiness and identify areas where you need further study.

Real-World Applications

Achieving the DO288 certification equips you with the skills to:

Develop and deploy microservices and containerized applications.

Automate the deployment and scaling of applications using OpenShift.

Enhance application security and reliability through best practices and OpenShift features.

These skills are crucial for organizations looking to modernize their IT infrastructure and embrace cloud-native development practices.

Conclusion

The Red Hat Certified OpenShift Application Developer (DO288) certification is an excellent investment for IT professionals aiming to advance their careers in the field of containerization and cloud-native application development. By validating your skills with this certification, you can demonstrate your expertise in one of the most sought-after technologies in the industry today. Prepare thoroughly, practice diligently, and take the leap to become a certified OpenShift Application Developer.

For more information about the DO288 certification and training courses

For more details www.hawkstack.com 

[akrnd085]

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.

[ellcrys]

ok I just want to take a moment to rant bc the bug fix I’d been chasing down since monday that I finally just resolved was resolved with. get this. A VERSION UPDATE. A LIBRARY VERSION UPDATE. *muffled screaming into the endless void*

so what was happening. was that the jblas library I was using for handling complex matrices in my java program was throwing a fucking hissy fit when I deployed it via openshift in a dockerized container. In some ways, I understand why it would throw a fit because docker containers only come with the barest minimum of software installed and you mostly have to do all the installing of what your program needs by yourself. so ok. no biggie. my program runs locally but doesn’t run in docker: this makes sense. the docker container is probably just missing the libgfortran3 library that was likely preinstalled on my local machine. which means I’ll just update the dockerfile (which tells docker how to build the docker image/container) with instructions on how to install libgfortran3. problem solved. right? WRONG.

lo and behold, the bane of my existence for the past 3 days. this was the error that made me realize I needed to manually install libgfortran3, so I was pretty confident installing the missing library would fix my issue. WELL. turns out. it in fact didn’t. so now I’m chasing down why.

some forums suggested specifying the tmp directory as a jvm option or making sure the libgfortran library is on the LD_LIBRARY_PATH but basically nothing I tried was working so now I’m sitting here thinking: it probably really is just the libgfortran version. I think I legitimately need version 3 and not versions 4 or 5. because that’s what 90% of the solutions I was seeing was suggesting.

BUT! fuck me I guess because the docker image OS is RHEL which means I have to use the yum repo to install software (I mean I guess I could have installed it with the legit no kidding .rpm package but that’s a whole nother saga I didn’t want to have to go down), and the yum repo had already expired libgfortran version 3. :/ It only had versions 4 and 5, and I was like, well that doesn’t help me!

anyways so now I’m talking with IT trying to get their help to find a version of libgfortran3 I can install when. I FIND THIS ELUSIVE LINK. and at the very very bottom is THIS LINK.

Turns out. 1.2.4 is in fact not the latest version of jblas according to the github project page (on the jblas website it claims that 1.2.4 is the current verison ugh). And according to the issue opened at the link above, version 1.2.5 should fix the libgfortran3 issue.

and I think it did?! because when I updated the library version in my project and redeployed it, the app was able to run without crashing on the libgfortran3 error.

sometimes the bug fix is as easy as updating a fucking version number. but it takes you 3 days to realize that’s the fix. or at least a fix. I was mentally preparing myself to go down the .rpm route but boy am I glad I don’t have to now.

anyways tl;dr: WEBSITES ARE STUPID AND LIKELY OUTDATED AND YOU SHOULD ALWAYS CHECK THE SOURCE CODE PAGE FOR THE LATEST MOST UP TO DATE INFORMATION.

[codecraftshop]

Deploy application in openshift using container images

Deploy application in openshift using container images

#openshift #containerimages #openshift # openshift4 #containerization

Deploy container app using OpenShift Container Platform running on-premises,openshift deploy docker image cli,openshift deploy docker image command line,how to deploy docker image in openshift,how to deploy image in openshift,deploy image in openshift,deploy…

[venatrix191-blog]

Use the power of kubernetes with Openshift Origin

Get the most modern and powerful Openshift OKD subscription with VENATRIX.

OpenShift Origin / OKD is an open source cloud development Platform as a Service (PaaS). This cloud-based platform allows developers to create, test and run their applications and deploy them to the cloud.

Automate the Build, Deployment and Management of your Applications with openshift Origin Platform.

OpenShift is suitable for any application, language, infrastructure, and industry. Using OpenShift helps developers to use their resources more efficiently and flexible, improve monitoring and maintenance, harden the applications security and overall make the developer experience a lot better. Venatrix’s OpenShift Services are infrastructure independent and therefore any industry can benefit from it.

What is openshift Origin?

Red Hat OpenShift Origin is a multifaceted, open source container application platform from Red Hat Inc. for the development, deployment and management of applications. OpenShift Origin Best vps hosting container Platform can deploy on a public, private or hybrid cloud that helps to deploy the applications with the use of Docker containers. It is built on top of Kubernetes and gives you tools like a web console and CLI to manage features like load balancing and horizontal scaling. It simplifies operations and development for cloud native applications.

Red Hat OpenShift Origin Container Platform helps the organization develop, deploy, and manage existing and container-based apps seamlessly across physical, virtual, and public cloud infrastructures. Its built on proven open source technologies and helps application development and IT operations teams modernize applications, deliver new services, and accelerate development processes.

Developers can quickly and easily create applications and deploy them. With S2I (Source-to-Image), a developer can even deploy his code without needing to create a container first. Operators can leverage placement and policy to orchestrate environments that meet their best practices. It makes the development and operations work fluently together when combining them in a single platform. It deploys Docker containers, it gives the ability to run multiple languages, frameworks and databases on the same platform. Easily deploy microservices written in Java, Python, PHP or other languages.

[computingpostcom]

After a successful installation and configuration of OpenShift Container Platform, the updates are providedover-the-air by OpenShift Update Service (OSUS). The operator responsible for checking valid updates available for your cluster with the OpenShift Update Service is called Cluster Version Operator (CVO). When you request an update, the CVO uses the release image for that update to upgrade your cluster. All the release artifacts are stored as container images in the Quay registry. It is important to note that the OpenShift Update Service displays all valid updates for your Cluster version. It is highly recommended that you do not force an update to a version that the OpenShift Update Service does not display. This is because a suitability check is performed to guarantee functional cluster after the upgrade. During the upgrade process, the Machine Config Operator (MCO) applies the new configuration to your cluster machines. Before you start a minot upgrade to your OpenShift Cluster, check the current cluster version using oc command line tool if configured or from a web console. You should have the cluster admin rolebinding to use these functions. We have the following OpenShift / OKD installation guides on our website: How To Deploy OpenShift Container Platform 4.x on KVM How To Install OKD OpenShift 4.x Cluster on OpenStack Setup Local OpenShift 4.x Cluster with CodeReady Containers 1) Confirm current OpenShift Cluster version Check the current version and ensure your cluster is available: $ oc get clusterversion NAME VERSION AVAILABLE PROGRESSING SINCE STATUS version 4.8.5 True False 24d Cluster version is 4.8.5 The current version of OpenShift Container Platform installed can also be checked from the web console – Administration → Cluster Settings > Details Also check available Cluster nodes and their current status. Ensure they are all in Ready State before you can initiate an upgrade. $ oc get nodes NAME STATUS ROLES AGE VERSION master01.ocp4.computingpost.com Ready master 24d v1.21.1+9807387 master02.ocp4.computingpost.com Ready master 24d v1.21.1+9807387 master03.ocp4.computingpost.com Ready master 24d v1.21.1+9807387 worker01.ocp4.computingpost.com Ready worker 24d v1.21.1+9807387 worker02.ocp4.computingpost.com Ready worker 24d v1.21.1+9807387 worker03.ocp4.computingpost.com Ready worker 24d v1.21.1+9807387 2) Backup Etcd database data Access one of the control plane nodes(master node) using oc debug command to start a debug session: $ oc debug node/ Here is an example with expected output: $ oc debug node/master01.ocp4.example.com Starting pod/master01ocp4examplecom-debug ... To use host binaries, run `chroot /host` Pod IP: 192.168.100.11 If you don't see a command prompt, try pressing enter. sh-4.4# Change your root directory to the host: sh-4.4# chroot /host Then initiate backup of etcd data using provided script namedcluster-backup.sh: sh-4.4# which cluster-backup.sh /usr/local/bin/cluster-backup.sh The cluster-backup.sh script is part of etcd Cluster Operator and it is just a wrapper around the etcdctl snapshot save command. Execute the script while passing the backups directory: sh-4.4# /usr/local/bin/cluster-backup.sh /home/core/assets/backup Here is the output as captured from my backup process found latest kube-apiserver: /etc/kubernetes/static-pod-resources/kube-apiserver-pod-19 found latest kube-controller-manager: /etc/kubernetes/static-pod-resources/kube-controller-manager-pod-8 found latest kube-scheduler: /etc/kubernetes/static-pod-resources/kube-scheduler-pod-9 found latest etcd: /etc/kubernetes/static-pod-resources/etcd-pod-3 3f8cc62fb9dd794113201bfabd8af4be0fdaa523987051cdb358438ad4e8aca6 etcdctl version: 3.4.14 API version: 3.4 "level":"info","ts":1631392412.4503953,"caller":"snapshot/v3_snapshot.go:119","msg":"created

temporary db file","path":"/home/core/assets/backup/snapshot_2021-09-11_203329.db.part" "level":"info","ts":"2021-09-11T20:33:32.461Z","caller":"clientv3/maintenance.go:200","msg":"opened snapshot stream; downloading" "level":"info","ts":1631392412.4615548,"caller":"snapshot/v3_snapshot.go:127","msg":"fetching snapshot","endpoint":"https://157.90.142.231:2379" "level":"info","ts":"2021-09-11T20:33:33.712Z","caller":"clientv3/maintenance.go:208","msg":"completed snapshot read; closing" "level":"info","ts":1631392413.9274824,"caller":"snapshot/v3_snapshot.go:142","msg":"fetched snapshot","endpoint":"https://157.90.142.231:2379","size":"102 MB","took":1.477013816 "level":"info","ts":1631392413.9344463,"caller":"snapshot/v3_snapshot.go:152","msg":"saved","path":"/home/core/assets/backup/snapshot_2021-09-11_203329.db" Snapshot saved at /home/core/assets/backup/snapshot_2021-09-11_203329.db "hash":3708394880,"revision":12317584,"totalKey":7946,"totalSize":102191104 snapshot db and kube resources are successfully saved to /home/core/assets/backup Check if the backup files are available in our backups directory: sh-4.4# ls -lh /home/core/assets/backup/ total 98M -rw-------. 1 root root 98M Sep 11 20:33 snapshot_2021-09-11_203329.db -rw-------. 1 root root 92K Sep 11 20:33 static_kuberesources_2021-09-11_203329.tar.gz The files as seen are: snapshot_.db: The etcd snapshot file. static_kuberesources_.tar.gz: File that contains the resources for the static pods. When etcd encryption is enabled, the encryption keys for the etcd snapshot will be contained in this file. You can copy the backup files to a separate system or location outside the server for better security if the node becomes unavailable during upgrade. 3) Changing Updates Channel (Optional) The OpenShift Container Platform offers the following upgrade channels: candidate fast stable Review the current update channel information and confirm that your channel is set to stable-4.8: $ oc get clusterversion -o json|jq ".items[0].spec" "channel": "fast-4.8", "clusterID": "f3dc42b3-aeec-4f4c-980f-8a04d6951585" You can decide to change an upgrade channel before the actual upgrade of the cluster. From Command Line Interface Switch Update channel from CLI using patch: oc patch clusterversion version --type json -p '["op": "add", "path": "/spec/channel", "value": "”]' # Example $ oc patch clusterversion version --type json -p '["op": "add", "path": "/spec/channel", "value": "stable-4.8"]' clusterversion.config.openshift.io/version patched $ oc get clusterversion -o json|jq ".items[0].spec" "channel": "stable-4.8", "clusterID": "f3dc42b3-aeec-4f4c-980f-8a04d6951585" From Web Console NOTE:For production clusters, you must subscribe to a stable-* or fast-* channel. Your cluster is fully supported by Red Hat subscription if you change from stable to fast channel. In my example below I’ve set the channel to fast-4.8. 4) Perform Minor Upgrade on OpenShift / OKD Cluster You can choose to perform a cluster upgrade from: Bastion Server / Workstation oc command line From OpenShift web console Upgrade your OpenShift Container Platform from CLI Check available upgrades $ oc adm upgrade Cluster version is 4.8.5 Updates: VERSION IMAGE 4.8.9 quay.io/openshift-release-dev/ocp-release@sha256:5fb4b4225498912357294785b96cde6b185eaed20bbf7a4d008c462134a4edfd 4.8.10 quay.io/openshift-release-dev/ocp-release@sha256:53576e4df71a5f00f77718f25aec6ac7946eaaab998d99d3e3f03fcb403364db As seen we have two minor upgrades that can be performed: To version 4.8.9 To version 4.8.10 The easiest way to upgrade is to the latest version: $ oc adm upgrade --to-latest=true Updating to latest version 4.8.10 To update to a specific version: $ oc adm upgrade --to= #e.g 4.8.9, I'll run: $ oc adm upgrade --to=4.8.9 You can easily review Cluster Version Operator status with the following command:

$ oc get clusterversion -o json|jq ".items[0].spec" "channel": "stable-4.8", "clusterID": "f3dc42b3-aeec-4f4c-980f-8a04d6951585", "desiredUpdate": "force": false, "image": "quay.io/openshift-release-dev/ocp-release@sha256:53576e4df71a5f00f77718f25aec6ac7946eaaab998d99d3e3f03fcb403364db", "version": "4.8.10" The oc adm upgrade command will give progress update with the steps: $ oc adm upgrade info: An upgrade is in progress. Working towards 4.8.10: 69 of 678 done (10% complete) Updates: VERSION IMAGE 4.8.9 quay.io/openshift-release-dev/ocp-release@sha256:5fb4b4225498912357294785b96cde6b185eaed20bbf7a4d008c462134a4edfd 4.8.10 quay.io/openshift-release-dev/ocp-release@sha256:53576e4df71a5f00f77718f25aec6ac7946eaaab998d99d3e3f03fcb403364db Upgrade OpenShift Container Platform from UI Administration → Cluster Settings→ Details→ Select channel→ Select a version to update to, and click Save. The Input channel Update status changes to Update to in progress. All cluster operators will be upgraded one after the other until all are in the minor version selected during upgrade: $ oc get co NAME VERSION AVAILABLE PROGRESSING DEGRADED SINCE authentication 4.8.5 True False False 119m baremetal 4.8.5 True False False 24d cloud-credential 4.8.5 True False False 24d cluster-autoscaler 4.8.5 True False False 24d config-operator 4.8.5 True False False 24d console 4.8.5 True False False 36h csi-snapshot-controller 4.8.5 True False False 24d dns 4.8.5 True False False 24d etcd 4.8.10 True False False 24d image-registry 4.8.5 True False False 24d ingress 4.8.5 True False False 24d insights 4.8.5 True False False 24d kube-apiserver 4.8.5 True False False 24d kube-controller-manager 4.8.5 True False False 24d kube-scheduler 4.8.5 True False False 24d kube-storage-version-migrator 4.8.5 True False False 4d16h machine-api 4.8.5 True False False 24d machine-approver 4.8.5 True False False 24d machine-config 4.8.5 True False False 24d marketplace 4.8.5 True False False 24d monitoring 4.8.5 True False False network 4.8.5 True False False 24d node-tuning 4.8.5 True False False 24d openshift-apiserver 4.8.5 True False False 32h openshift-controller-manager 4.8.5 True False False 23d openshift-samples 4.8.5 True False False 24d operator-lifecycle-manager 4.8.5 True False False 24d operator-lifecycle-manager-catalog 4.8.5 True False False 24d operator-lifecycle-manager-packageserver 4.8.5 True False False 7d11h

service-ca 4.8.5 True False False 24d storage 4.8.5 True False False 24d 5) Validate OpenShift CLuster Upgrade Wait for the upgrade process to complete then confirm that the cluster version has updated to the new version: $ oc get clusterversion NAME VERSION AVAILABLE PROGRESSING SINCE STATUS version 4.8.10 True False 37h Cluster version is 4.8.10 Checking cluster version from the web console To obtain more detailed information about the cluster status run the command: $ oc describe clusterversion If you try running the command oc adm upgrade immediately after upgrade to the latest release you should get a message similar to below: $ oc adm upgrade Cluster version is 4.8.10 No updates available. You may force an upgrade to a specific release image, but doing so may not be supported and result in downtime or data loss. Conclusion In this short guide we’ve shown how one can easily perform minor upgrade of OpenShift container cluster version. The process can be initiated from a web console or from the command line, it all depends on your preference. In our articles to follow we’ll cover steps required to perform Major versions upgrade in anOpenShift container cluster.

[karonbill]

IBM C1000-143 Practice Test Questions

Now you can pass C1000-143 IBM Cloud Pak for Watson AIOps v3.2 Administrator exam with ease. PassQuestion provides you a number of C1000-143 Practice Test Questions, exactly on the pattern of the actual exam. They are not only helpful for the exam candidates to evaluate their level of preparation but also provide them the opportunity to enhance their weaknesses well in time.  The C1000-143 Practice Test Questions include the latest questions and answers which help you in clearing all of your doubts of the IBM C1000-143 exam. With the help of the C1000-143 practice test questions, you will be able to feel the real exam scenario and pass your exam successfully on your first attempt.

IBM Cloud Pak for Watson AIOps v3.2 Administrator

An IBM Certified Administrator on IBM Cloud Pak for Watson AIOps v3.2 is a system administrator who has extensive knowledge and experience on IBM Cloud Pak for Watson AIOps v3.2 including AI Manager, Event Manager and Metric Manager. This administrator can perform the intermediate tasks related to planning, sizing, installation, daily management and operation, security, performance, configuration of enhancements (including fix packs and patches), customization and/or problem determination.

Exam Information

Exam Code: C1000-143 Exam Name: IBM Cloud Pak for Watson AIOps v3.2 Administrator Number of questions: 65 Number of questions to pass: 46 Time allowed: 90 minutes Languages: English Price: $200 USD Certification: IBM Certified Administrator - Cloud Pak for Watson AIOps v3.2

Exam Sections

Section 1: IBM Cloud Pak for Watson AIOps Overview   11% Section 2: Install the IBM Cloud Pak for Watson AIOps  17% Section 3: Configuration   30% Section 4: Operate the Platform   22% Section 5: Manage User Access Control    8% Section 6: Troubleshoot    12%

View Online IBM Cloud Pak for Watson AIOps v3.2 Administrator C1000-143 Free Questions

Which collection of key features describes Al Manager? A.Al data tools and connections and Metric Manager B.Al data tools and connections and infrastructure automation C.Al models and Chat Ops D.Network management and service and topology management Answer: C

In Event Manager, which event groupings usually occur within a short time of each other? A.Scope-based B.Seasonal C.Temporal D.Topology Answer: C

When a user logs on to any of the components on a Cloud Pak for Watson AlOps deployed cluster and it is too slow or times out, what can be done to resolve the issue? A.Update the Idap-proxy-config ConfigMap and set the LDAP_RECURSIVE_SEARCH to "false". B.Update the platform-auth-idp ConfigMap and set the LDAP_TIMEOUT to a higher value. C.Update the Idap-proxy-config ConfigMap and set the LDAP_TiMEOUT to a higher value. D.Update the platform-auth-idp ConfigMap and set the LDAP_RECURSIVE_SEARCH to "false" Answer: A

When installing Al manager or Event Manager in an air-gapped environment, which registry must the OpenShift cluster be connected to in order to pull images? A.Docker V2 compatible registry running behind B.quay.io C.Red Hat OpenShift internal registry D.docker.io Answer: C

For Al Manager, which type of ChatOps channel surfaces stories? A.Reactive B.Proactive C.Public D.Private Answer: A

What are two valid Runbook types in Event Manager? A.Partial B.Semi-automated C.Initial D.Fully-automated E.Locked-partial Answer: C, D

[swarnalata31techiio]

A brief overview of Jenkins X

What is Jenkins X?

Jenkins X is an open-source solution that provides automatic seamless integration and continuous distribution (CI / CD) and automated testing tools for cloud-native applications in Cubernet. It supports all major cloud platforms such as AWS, Google Cloud, IBM Cloud, Microsoft Azure, Red Hat OpenShift, and Pivotal. Jenkins X is a Jenkins sub-project (more on this later) and employs automation, DevOps best practices and tooling to accelerate development and improve overall CI / CD.  

Features of Jenkins X

Automated CI /CD:

Jenkins X offers a sleek jx command-line tool, which allows Jenkins X to be installed inside an existing or new Kubernetes cluster, import projects, and bootstrap new applications. Additionally, Jenkins X creates pipelines for the project automatically.

Environment Promotion via GitOps:

Jenkins X allows for the creation of different virtual environments for development, staging, and production, etc. using the Kubernetes Namespaces. Every environment gets its specific configuration, list of versioned applications and configurations stored in the Git repository. You can automatically promote new versions of applications between these environments if you follow GitOps practices. Moreover, you can also promote code from one environment to another manually and change or configure new environments as needed.

Extensions:

It is quite possible to create extensions to Jenkins X. An extension is nothing but a code that runs at specific times in the CI/CD process. You can also provide code through an extension that runs when the extension is installed, uninstalled, as well as before and after each pipeline.

Serverless Jenkins:

Instead of running the Jenkins web application, which continually consumes a lot of CPU and memory resources, you can run Jenkins only when you need it. During the past year, the Jenkins community has created a version of Jenkins that can run classic Jenkins pipelines via the command line with the configuration defined by code instead of the usual HTML forms.

Preview Environments:

Though the preview environment can be created manually, Jenkins X automatically creates Preview Environments for each pull request. This provides a chance to see the effect of changes before merging them. Also, Jenkins X adds a comment to the Pull Request with a link for the preview for team members.

How Jenkins X works?

The developer commits and pushes the change to the project’s Git repository.

JX is notified and runs the project’s pipeline in a Docker image. This includes the project’s language and supporting frameworks.

The project pipeline builds, tests, and pushes the project’s Helm chart to Chart Museum and its Docker image to the registry.

The project pipeline creates a PR with changes needed to add the project to the staging environment.

Jenkins X automatically merges the PR to Master.

Jenkins X is notified and runs the staging pipeline.

The staging pipeline runs Helm, which deploys the environment, pulling Helm charts from Chart Museum and Docker images from the Docker registry. Kubernetes creates the project’s resources, typically a pod, service, and ingress.

[hawkstack]

Multicluster Management with Red Hat OpenShift Platform Plus (DO480)

In today’s hybrid and multi-cloud environments, managing multiple Kubernetes clusters can quickly become complex and time-consuming. Enterprises need a robust solution that provides centralized visibility, policy enforcement, and automation across clusters—whether they are running on-premises, in public clouds, or at the edge. Red Hat OpenShift Platform Plus rises to this challenge, offering a comprehensive set of tools to simplify multicluster management. The DO480 training course equips IT professionals with the skills to harness these capabilities effectively.

What is Red Hat OpenShift Platform Plus?

OpenShift Platform Plus is the most advanced OpenShift offering from Red Hat. It includes everything in OpenShift Container Platform, along with key components like:

Red Hat Advanced Cluster Management (RHACM) for Kubernetes

Red Hat Advanced Cluster Security (RHACS) for hardened security posture

Red Hat Quay for trusted image storage and management

These integrated tools make OpenShift Platform Plus the go-to solution for enterprises managing workloads across multiple clusters and cloud environments.

Why Multicluster Management Matters

As organizations scale their cloud-native applications, they often deploy multiple OpenShift clusters to:

Improve availability and fault tolerance

Support global or regional application deployments

Comply with data residency and regulatory requirements

Isolate development, staging, and production environments

But managing these clusters in silos can lead to inefficiencies, inconsistencies, and security gaps. This is where Advanced Cluster Management (ACM) comes in, providing:

Centralized cluster lifecycle management (provisioning, scaling, updating)

Global policy enforcement and governance

Application lifecycle management across clusters

Central observability and health metrics

About the DO480 Course

The DO480 – Multicluster Management with Red Hat OpenShift Platform Plus course is designed for system administrators, DevOps engineers, and cloud architects who want to master multicluster management using OpenShift Platform Plus.

Key Learning Objectives:

Deploy and manage multiple OpenShift clusters with RHACM

Enforce security, configuration, and governance policies across clusters

Use RHACS to monitor and secure workloads

Manage application deployments across clusters

Integrate Red Hat Quay for image storage and content trust

Course Format:

Duration: 4 days

Delivery: Instructor-led (virtual or classroom) and self-paced (via RHLS)

Hands-On Labs: Practical, scenario-based labs with real-world simulations

Who Should Attend?

This course is ideal for:

Platform engineers who manage large OpenShift environments

DevOps teams looking to standardize operations across multiple clusters

Security and compliance professionals enforcing policies at scale

IT leaders adopting hybrid cloud and edge computing strategies

Benefits of Multicluster Management

By mastering DO480 and OpenShift Platform Plus, organizations gain:

✅ Operational consistency across clusters and environments ✅ Reduced administrative overhead through automation ✅ Enhanced security with centralized control and policy enforcement ✅ Faster time-to-market for applications through streamlined deployment ✅ Scalability and flexibility to support modern enterprise needs

Conclusion

Red Hat OpenShift Platform Plus, with its powerful multicluster management capabilities, is shaping the future of enterprise Kubernetes. The DO480 course provides the essential skills IT teams need to deploy, monitor, and govern OpenShift clusters across hybrid and multicloud environments.

At HawkStack Technologies, we offer Red Hat Authorized Training for DO480 and other OpenShift certifications, delivered by industry-certified experts. Whether you're scaling your infrastructure or future-proofing your DevOps strategy, we're here to support your journey.

For more details www.hawkstack.com

[govindhtech]

Red Hat Openshift Virtualization Unlocks APEX Cloud Platform

Dell APEX Cloud Platform

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

Openshift Virtualization

Utilize Integrated Virtualization to Simplify and Optimize

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

- Advertisement -Image Credit To Dell

APEX Cloud Platform

Adaptable Infrastructure for All Tasks

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

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

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

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

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Continuity Throughout Your Red Hat OpenShift Estate

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

Red Hat Virtualization

Overview

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

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

What advantages does Red Hat OpenShift virtualization offer?

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

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

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

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

How does Red Hat OpenShift virtualization operate?

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

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

Update your approach to virtualization

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

Read more on govindhtech.com

[qcsdslabs]

Securing Workloads in OpenShift Virtualization: Tips and Techniques

As organizations continue to embrace the benefits of cloud-native technologies and virtualization, OpenShift Virtualization stands out as an essential platform for deploying and managing containerized workloads. While it offers powerful capabilities for running virtual machines (VMs) alongside containers, ensuring the security of workloads is paramount to protect data integrity and maintain regulatory compliance. This article outlines practical tips and techniques to enhance the security of your workloads in OpenShift Virtualization.

1. Implement Role-Based Access Control (RBAC)

RBAC is one of the core security mechanisms in OpenShift that helps control who can access what resources within the cluster. Ensuring that your workload access is limited to authorized users and services only is critical. Follow these best practices:

Define Roles Carefully: Create roles with the minimum necessary permissions for users and applications.

Use Service Accounts: Assign service accounts to pods and workloads to control their privileges and avoid the risk of a compromised application gaining excessive access.

Review and Audit Permissions Regularly: Perform periodic audits to identify and remove unused or overly permissive roles.

2. Secure Network Communication

Communication between workloads should be secured to prevent unauthorized access and data interception. Implement these strategies:

Network Policies: Use OpenShift’s network policy objects to define rules that control the traffic flow between pods. Ensure that only authorized pods can communicate with each other.

Service Mesh: Deploy Istio or OpenShift Service Mesh to provide enhanced traffic management, encryption, and observability across services.

TLS Encryption: Ensure all data exchanged between services is encrypted using TLS. OpenShift has built-in support for TLS, but make sure that TLS certificates are properly managed and rotated.

3. Enable and Manage Pod Security Standards

Pod Security Standards (PSS) are an essential way to enforce security configurations at the pod level. OpenShift provides tools to help secure pods according to industry standards:

PodSecurityPolicies (PSPs): While PSPs are deprecated in favor of PodSecurityAdmission (PSA), configuring your cluster to use PSA can enforce security standards such as preventing privileged containers or requiring specific security context configurations.

Security Contexts: Set up security contexts at the container level to control privileges like running as a non-root user, disabling privilege escalation, and enabling read-only file systems.

4. Control Image Security

Images are a common attack vector, making it essential to ensure that only trusted images are used for deployments.

Image Scanning: Integrate image scanning tools such as OpenShift's built-in image vulnerability scanner or third-party tools like Trivy or Clair to scan images for known vulnerabilities before deployment.

Image Signing and Verification: Use tools like Notary to sign images and enforce policies that only signed images are pulled and deployed.

Private Image Registries: Store and manage your images in a private registry with access control, ensuring that only authorized users and services can push or pull images.

5. Manage Secrets Securely

Handling secrets properly is critical for the security of your applications and infrastructure. Follow these steps:

Use OpenShift Secrets: OpenShift has native support for Kubernetes Secrets. Ensure that secrets are stored securely and accessed only by the workloads that need them.

Vault Integration: For more advanced secret management, integrate HashiCorp Vault with OpenShift to handle sensitive data, providing more control over access policies and encryption.

Avoid Hardcoding Secrets: Never hardcode secrets in application code or scripts. Use environment variables or service accounts to inject them at runtime.

6. Apply Security Patches and Updates

Keeping your OpenShift cluster and underlying virtualization environment updated is essential for closing security vulnerabilities.

Automatic Updates: Configure automated updates and patching for OpenShift components and underlying VMs.

Monitor Security Advisories: Regularly review Red Hat's security advisories and promptly apply patches or updates that mitigate potential risks.

Testing in Staging: Before deploying patches in production, test them in a staging environment to ensure stability and compatibility.

7. Implement Logging and Monitoring

Effective logging and monitoring help you detect and respond to security incidents in real time.

Centralized Logging: Use OpenShift’s built-in logging stack or integrate with a tool like Elasticsearch, Fluentd, and Kibana (EFK) to aggregate logs across the cluster and VMs.

Monitoring with Prometheus and Grafana: Leverage Prometheus for metrics collection and Grafana for dashboards that visualize performance and security data.

Alerting Mechanisms: Set up alerts for suspicious activities such as unexpected network traffic, unauthorized access attempts, or failed authentication attempts.

8. Secure Virtual Machines

When running VMs in OpenShift Virtualization, their security should align with best practices for containerized workloads.

VM Hardening: Follow hardening guidelines for your VM images, such as disabling unnecessary services, securing SSH access, and minimizing the installed software.

Isolation and Segmentation: Place VMs in different namespaces or network segments based on their sensitivity and usage. This helps limit the attack surface and restrict lateral movement in the event of a breach.

Resource Limitations: Set CPU and memory limits to prevent DoS (Denial of Service) attacks within your VMs.

9. Implement Multi-Factor Authentication (MFA)

To bolster the authentication process, enabling MFA for accessing OpenShift and the management interface is crucial.

Configure MFA with OpenShift: Use identity providers that support MFA, such as LDAP or OAuth integrations, to strengthen user authentication.

Enforce MFA for Sensitive Operations: Apply MFA to critical administrative functions to ensure that only authorized personnel can perform potentially disruptive actions.

Conclusion

Securing workloads in OpenShift Virtualization requires a multi-layered approach that combines preventive, detective, and corrective measures. By implementing these tips and techniques—ranging from robust RBAC and secure network configurations to thorough monitoring and timely patching—you can create a secure environment for your containerized and virtualized workloads. OpenShift Virtualization offers the tools to build a resilient infrastructure, but security practices should evolve in tandem with emerging threats and industry trends to protect your applications and data effectively. For more details visit: https://www.hawkstack.com/

[qcs01]

Deploying Your First Application on OpenShift

Deploying an application on OpenShift can be straightforward with the right guidance. In this tutorial, we'll walk through deploying a simple "Hello World" application on OpenShift. We'll cover creating an OpenShift project, deploying the application, and exposing it to the internet.

Prerequisites

OpenShift CLI (oc): Ensure you have the OpenShift CLI installed. You can download it from the OpenShift CLI Download page.

OpenShift Cluster: You need access to an OpenShift cluster. You can set up a local cluster using Minishift or use an online service like OpenShift Online.

Step 1: Log In to Your OpenShift Cluster

First, log in to your OpenShift cluster using the oc command.

oc login https://<your-cluster-url> --token=<your-token>

Replace <your-cluster-url> with the URL of your OpenShift cluster and <your-token> with your OpenShift token.

Step 2: Create a New Project

Create a new project to deploy your application.

oc new-project hello-world-project

Step 3: Create a Simple Hello World Application

For this tutorial, we'll use a simple Node.js application. Create a new directory for your project and initialize a new Node.js application.

mkdir hello-world-app cd hello-world-app npm init -y

Create a file named server.js and add the following content:

const express = require('express'); const app = express(); const port = 8080; app.get('/', (req, res) => res.send('Hello World from OpenShift!')); app.listen(port, () => { console.log(`Server running at http://localhost:${port}/`); });

Install the necessary dependencies.

npm install express

Step 4: Create a Dockerfile

Create a Dockerfile in the same directory with the following content:

FROM node:14 WORKDIR /app COPY package*.json ./ RUN npm install COPY . . EXPOSE 8080 CMD ["node", "server.js"]

Step 5: Build and Push the Docker Image

Log in to your Docker registry (e.g., Docker Hub) and push the Docker image.

docker login docker build -t <your-dockerhub-username>/hello-world-app . docker push <your-dockerhub-username>/hello-world-app

Replace <your-dockerhub-username> with your Docker Hub username.

Step 6: Deploy the Application on OpenShift

Create a new application in your OpenShift project using the Docker image.

oc new-app <your-dockerhub-username>/hello-world-app

OpenShift will automatically create the necessary deployment configuration, service, and pod for your application.

Step 7: Expose the Application

Expose your application to create a route, making it accessible from the internet.

oc expose svc/hello-world-app

Step 8: Access the Application

Get the route URL for your application.

oc get routes

Open the URL in your web browser. You should see the message "Hello World from OpenShift!".

Conclusion

Congratulations! You've successfully deployed a simple "Hello World" application on OpenShift. This tutorial covered the basic steps, from setting up your project and application to exposing it on the internet. OpenShift offers many more features for managing applications, so feel free to explore its documentation for more advanced topic

For more details click www.qcsdclabs.com 

[bestwallartdesign]

What Are The Best Devops Tools That Should Be Used In 2022?

Actually, that's a marketing stunt let me rephrase that by saying what are the best tools for developers and operators and everything in between in 2022 and you can call it devops  I split them into different categories so let me read the list and that's ids terminals shell packaging Kubernetes distribution serverless Github progressive delivery infrastructures code programming language cloud logging monitoring deployment security dashboards pipelines and workflows service mesh and backups I will not go into much details about each of those tools that would take hours but I will provide the links to videos or descriptions or useful information about each of the tools in this blog. If you want to see a  link to the home page of the tool or some useful information let's get going.

Let's start with ids the tool you should be using the absolute winner in all aspects is visual studio code it is open source it is free it has a massive community massive amount of plugins there is nothing you cannot do with visual studio code so ids clear winner visual studio code that's what you should be using next are terminals, unlike many others that recommend an item or this or different terminals I recommend you use a terminal that is baked into visual studio code it's absolutely awesome you cannot go wrong and you have everything in one place you write your code you write your manifest you do whatever you're doing and you have a terminal baked in using the terminal in visual studio code there is no need to use an external terminal shell the best shell you can use you will feel at home and it features some really great things.

Experience if you're using windows then install wsl or windows subsystem for Linux and then install ssh and of my ssh next packaging how do we package applications today that's containers containers containers actually we do not packages containers we package container images that are a standard now it doesn't matter whether you're deploying to Kubernetes whether you're deploying directly to docker whether you're using serverless even most serverless today solutions allow you to run containers that means that you must and pay attention that didn't say should you must package your applications as container images with few exceptions if you're creating clips or desktop applications then package it whatever is the native for that operating system that's the only exception everything else container images doesn't matter where you're deploying it and how should you build those container images you should be building it with docker desktop docker.

if you're building locally and you shouldn't be building locally if you're building through some cicd pipelines so whichever other means that it's outside of your laptop use kubernetes is the best solution to build container images today next in line kubernetes distribution or service or platform which one should you use and that depends where you're running your stuff if it's in cloud use whatever your provider is offering you're most likely not going to change the provider because of kubernetes service but if you're indifferent and you can choose any provider to run your kubernetes clusters then gke google kubernetes engine is the best choice it is ahead of everybody else that difference is probably not sufficient for you to change your provider but if you're undecided where to run it then google cloud is the place but if you're using on-prem servers then probably the best solution is launcher unless you have very strict and complicated security requirements then you should go with upper shift if you want operational simplicity and simplicity in any form or way then go with launcher if you have tight security needs then openshift is the thing finally if you want to run kubernetes cluster locally then it's k3d k3d is the best way to run kubernetes cluster locally you can run a single cluster multi-cluster single node multi-node and it's lightning fast it takes couple of seconds to create a cluster and it uses minimal amount of resources it's awesome try it out serverless and that really depends what type of serverless you want if you want functions as a service aws lambda is the way to go they were probably the first ones to start at least among big providers and they are leading that area but only for functions as a service.

If you wanted containers as a service type of serverless and i think you should want containers as a service anyways if you want containers as a service flavor of serverless then google cloud run is the best option in the market today finally if you would like to run serverless on-prem then k native which is actually the engine behind the google cloud run anyways k native is the way to go if you want to run serverless workloads in your own clusters on-prem githubs and here i do not have a clear recommendation because both argo cd and flux are awesome they have some differences there are some weaknesses pros and cons for each and they cannot make up my mind both of them are awesome and it's like arms race you know cold war as soon as one gets a cool feature the other one gets it as well and then the circle continues both of them are more or less equally good you cannot go wrong with either progressive delivery is in a similar situation you can use algorithms or flagger you're probably going to choose one or the other depending on which github solution you chose because argo rollouts works very well with dargo cd flagger works exceptionally well with the flux and you cannot go wrong with either you're most likely going to choose the one that belongs to the same family as the github's tool that you choose previously infrastructure is code has two winners in this case one is terraform terraform is the leader of the market it has the biggest community it is stable it exists for a long time and everybody is using it you cannot go wrong with terraform but if you want to get a glimpse of the future of potential future we don't know the future but potential future with additional features especially if you want something that is closer to kubernetes that is closer to the ecosystem of kubernetes then you should go with crossplane.

In my case i'm combining both i'm still having most of my workloads in terraform and then transitioning slowly to cross plane when that makes sense for programming languages it depends really what you're doing if you're working on a front end and i it's javascript there is nothing else in the world everything is javascript don't even bother looking for something else for everything else go is the way to go that that rhymes right go is the way to go excellent go is the language that everybody is using today i mean not everybody minority of us are using go but it is increasing in polarity greatly especially if you're working on microservices or smaller applications footprint of go is very small it is lightning fast just try it out if you haven't already if for no other reason you should put go on your curriculum because it's all the hype and for a very good reason it has its problems every language has its problems but you should use it even if that's only for hobby projects next inline cloud which provider should be using i cannot answer the question aws is great azure is great google cloud is great if you want to save money at the expense of the catalog of the offers and the stability and whatsoever then go with linux or digitalocean personally when i can choose and i have to choose then i go with google cloud as for logging solutions if you're in cloud go with whatever your cloud provider is giving you as long as that is not too expensive for your budget.

If you have to choose something else something outside of the offering of your cloud use logs is awesome it's very similar to prometus it works well it has low memory and cpu footprint if you're choosing your own solution instead of going with whatever provider is giving you lockheed is the way to go for monitoring it's prometheus you have to have promote use even if you choose something else you will have to have prometheus on top of that something else for a simple reason that many of the tools frameworks applications what's or not are assuming that you're using promit use from it you see is the de facto standard and you will use it even if you already decided to use something else because it is unavoidable and it's awesome at the same time for deployment mechanisms packaging templating i have two i cannot make up my mind i use customize and i use helm and you should probably combine both because they have different strengths and weaknesses if you're an operator and you're not tasked to empower developers then customize is a better choice no doubt now if you want to simplify lives of developers who are not very proficient with kubernetes then helm is the easiest option for them it will not be easiest for you but for them yes next in line is security for scanning you sneak sneak is a clear winner at least today for governance legal requirements compliance and similar subjects i recommend opa gatekeeper it is the best choice we have today even though that market is bound to explode and we will see many new solutions coming very very soon next in line are dashboards and this was the easiest one for me to pick k9s use k9s especially if you like terminals it's absolutely awesome try it out k9s is the best dashboard at least when kubernetes is concerned for pipelines and workflows it really depends on how much work you want to invest in it yourself if you want to roll up your sleeves and set it up yourself it's either argo workflows combined with argo events or tecton combined with a few other things they are hand-in-hand there are pros and cons for each but right now there is no clear winner so it's either argo workflows combined with events or tactile with few other additional tools among the tools that require you to set them up properly there is no competition those are the two choices you have now.

If you want not to think much about pipelines but just go with the minimal effort everything integrated what's or not then i recommend code rush now i need to put a disclaimer here i worked in code fresh until a week ago and you might easily see that i'm too subjective and that might be true i try not to be but you never know serious mesh service mesh is in a similar situation like infrastructure is code most of the implementations are with these two today easter is the de facto standard but i believe that we are moving towards slinkerty being the dominant player for a couple of reasons the main one being that it is independently managed it is in the cncf foundation and nobody really owns it on top of that linker d is more lightweight it is easier to learn it doesn't have all the features of youtube but you likely do not need the features that are missing anyway finally linkedin is based on smi or service mesh interface and that means that you will be able to switch from linker d to something else if you choose to do so in the future easter has its own interface it is incompatible with anything else finally the last category i have is backups and if you're using kubernetes and everybody is using kubernetes today right use valero it is the best option we have today to create backups it works amazingly well as long as you're using kubernetes.

If you're not using Kubernetes then just zip it up and put it on a tape as we were doing a long long time ago that was the list of the recommendation of the tools platforms frameworks whatsoever that you should be using in 2022 i will make a similar blog in the future and i expect you to tell me a couple of things which categories did i miss what would you like me to include in the next blog of this kind what are the points you do not agree with me let's discuss it i might be wrong most of the time I'm wrong so please let me know if you disagree about any of the tools or categories that i mentioned we are done, Cloud now technologies ranked as top three devops services company in usa.Cloud now technologies devops service delivery at high velocity with cost savings through accelerated software deployment.