#Deploy application in openshift using container images

[hawskstack]

Application Security in Kubernetes

Running Privileged Applications Safely and Effectively

In modern cloud-native environments, application security is more important than ever. While most applications run securely in isolated containers, there are cases where certain workloads need elevated access—either to the host operating system or the Kubernetes platform itself.

This blog covers what privileged applications are, why they’re sometimes needed, and how to run them securely without compromising your environment.

⚙️ Why Do Some Applications Need Elevated Privileges?

Some containerized applications must interact closely with the underlying system or Kubernetes components. Common examples include:

Monitoring tools that collect system-level metrics

Network management tools like firewalls or VPNs

Storage drivers that require access to the host disk

Legacy applications that require root or admin access

Troubleshooting and debugging tools

These applications break the isolation model that containers are known for, and therefore require stronger security controls.

🛡️ Key Security Considerations

Before granting elevated access, ask these questions:

Is elevated access essential? If not, explore alternatives like APIs or sidecar containers.

What level of access is really required? Avoid giving full system privileges when only partial access is needed.

Is the container image secure? Use lightweight, verified images from trusted sources and remove unnecessary components.

🧰 How to Secure Privileged Applications (Without Code)

There are several built-in features and policies in Kubernetes and OpenShift that help manage privileged workloads safely:

Security policies can enforce which types of applications are allowed to run with elevated access, and where.

User roles and permissions can be configured to control who is allowed to deploy or modify these applications.

Security profiles like SELinux or AppArmor offer additional protection by restricting what privileged applications can do at the operating system level.

Dedicated namespaces can isolate sensitive workloads from the rest of the cluster.

Audit logs and monitoring tools can track privileged actions and alert teams of unusual behavior.

These tools ensure privileged workloads are properly isolated, monitored, and controlled.

✅ Best Practices

Only run privileged applications if there is no safer alternative

Keep them isolated from other workloads

Regularly review and audit your permissions and access controls

Use runtime security tools to detect unusual activity

Keep your container images and host OS patched and up to date

�� Risks to Avoid

Allowing unrestricted access can expose your system to:

Accidental or malicious changes to the host OS

Unauthorized access to sensitive data

Security breaches due to vulnerable components

Service disruptions or data loss

By managing privileged workloads carefully, you can avoid these risks and maintain a strong security posture.

🔚 Conclusion

Running applications with elevated privileges is sometimes necessary—but it must be done with strict controls and clear policies. By understanding the risks and using the right security features, you can protect your Kubernetes or OpenShift environment while still meeting application requirements.

Remember: Security should never be an afterthought—especially when elevated access is involved.

For more info, Kindly follow: Hawkstack Technologies

[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 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.

[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]

Logging is a useful mechanism for both application developers and cluster administrators. It helps with monitoring and troubleshooting of application issues. Containerized applications by default write to standard output. These logs are stored in the local ephemeral storage. They are lost as soon as the container. To solve this problem, logging to persistent storage is often used. Routing to a central logging system such as Splunk and Elasticsearch can then be done. In this blog, we will look into using a splunk universal forwarder to send data to splunk. It contains only the essential tools needed to forward data. It is designed to run with minimal CPU and memory. Therefore, it can easily be deployed as a side car container in a kubernetes cluster. The universal forwarder has configurations that determine which and where data is sent. Once data has been forwarded to splunk indexers, it is available for searching. The figure below shows a high level architecture of how splunk works: Benefits of using splunk universal forwarder It can aggregate data from different input types It supports autoload balancing. This improves resiliency by buffering data when necessary and sending to available indexers. The deployment server can be managed remotely. All the administrative activities can be done remotely. Splunk Universal Forwarders provide a reliable and secure data collection process. Scalability of Splunk Universal Forwarders is very flexible. Setup Pre-requisites: The following are required before we proceed: A working Kubernetes or Openshift container platform cluster Kubectl or oc command line tool installed on your workstation. You should have administrative rights A working splunk cluster with two or more indexers STEP 1: Create a persistent volume We will first deploy the persistent volume if it does not already exist. The configuration file below uses a storage class cephfs. You will need to change your configuration accordingly. The following guides can be used to set up a ceph cluster and deploy a storage class: Install Ceph 15 (Octopus) Storage Cluster on Ubuntu Ceph Persistent Storage for Kubernetes with Cephfs Create the persistent volume claim: $ vim pvc_claim.yaml kind: PersistentVolumeClaim apiVersion: v1 metadata: name: cephfs-claim spec: accessModes: - ReadWriteMany storageClassName: cephfs resources: requests: storage: 1Gi Create the persistent volume claim: kubectl apply -f pvc_claim.yaml Look at the PersistentVolumeClaim: $ kubectl get pvc cephfs-claim NAME STATUS VOLUME CAPACITY ACCESS MODES STORAGECLASS AGE cephfs-claim Bound pvc-19c8b186-699b-456e-afdc-bcbaba633c98 1Gi RWX cephfs 3s STEP 2: Deploy an app and mount the persistent volume Next, We will deploy our application. Notice that we mount the path “/var/log” to the persistent volume. This is the data we need to persist. $ vim test-pod.yaml apiVersion: v1 kind: Pod metadata: name: test-app spec: containers: - name: app image: centos command: ["/bin/sh"] args: ["-c", "while true; do echo $(date -u) >> /var/log/test.log; sleep 5; done"] volumeMounts: - name: persistent-storage mountPath: /var/log volumes: - name: persistent-storage persistentVolumeClaim: claimName: cephfs-claim Deploy the application: kubectl apply -f test-pod.yaml STEP 3: Create a configmap We will then deploy a configmap that will be used by our container. The configmap has two crucial configurations: Inputs.conf: This contains configurations on which data is forwarded. Outputs.conf : This contains configurations on where the data is forwarded to. You will need to change the configmap configurations to suit your needs. $ vim configmap.yaml kind: ConfigMap apiVersion: v1 metadata: name: configs data: outputs.conf: |-

[indexAndForward] index = false [tcpout] defaultGroup = splunk-uat forwardedindex.filter.disable = true indexAndForward = false [tcpout:splunk-uat] server = 172.29.127.2:9997 # Splunk indexer IP and Port useACK = true autoLB = true inputs.conf: |- [monitor:///var/log/*.log] # Where data is read from disabled = false sourcetype = log index = microservices_uat # This index should already be created on the splunk environment Deploy the configmap: kubectl apply -f configmap.yaml STEP 4: Deploy the Splunk universal forwarder Finally, We will deploy an init container alongside the splunk universal forwarder container. This will help with copying the configmap configuration contents into the splunk universal forwarder container. $ vim splunk_forwarder.yaml apiVersion: apps/v1 kind: Deployment metadata: name: splunkforwarder labels: app: splunkforwarder spec: replicas: 1 selector: matchLabels: app: splunkforwarder template: metadata: labels: app: splunkforwarder spec: initContainers: - name: volume-permissions image: busybox imagePullPolicy: IfNotPresent command: ['sh', '-c', 'cp /configs/* /opt/splunkforwarder/etc/system/local/'] volumeMounts: - mountPath: /configs name: configs - name: confs mountPath: /opt/splunkforwarder/etc/system/local containers: - name: splunk-uf image: splunk/universalforwarder:latest imagePullPolicy: IfNotPresent env: - name: SPLUNK_START_ARGS value: --accept-license - name: SPLUNK_PASSWORD value: ***** - name: SPLUNK_USER value: splunk - name: SPLUNK_CMD value: add monitor /var/log/ volumeMounts: - name: container-logs mountPath: /var/log - name: confs mountPath: /opt/splunkforwarder/etc/system/local volumes: - name: container-logs persistentVolumeClaim: claimName: cephfs-claim - name: confs emptyDir: - name: configs configMap: name: configs defaultMode: 0777 Deploy the container: kubectl apply -f splunk_forwarder.yaml Verify that the splunk universal forwarder pods are running: $ kubectl get pods | grep splunkforwarder splunkforwarder-7ff865fc8-4ktpr 1/1 Running 0 76s STEP 5: Check if logs are written to splunk Login to splunk and do a search to verify that logs are streaming in. Splunk_Logs You should be able to see your logs.

[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.

[globalknowledgetechnologies]

OpenShift Container | OpenShift Kubernetes | DO180 | GKT

Course Description

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

Introduction to Containers, Kubernetes, and Red Hat OpenShift (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 OpenShift Container, OpenShift Kubernetes course is based on Red Hat OpenShift Container Platform 4.2.

Objectives

Understand container and OpenShift architecture.

Create containerized services.

Manage containers and container images.

Create custom container images.

Deploy containerized applications on Red Hat OpenShift.

Deploy multi-container applications.

 Audience

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

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

 Content

Introduce container technology 

Create containerized services 

Manage containers 

Manage container images 

Create custom container images 

Deploy containerized applications on Red Hat OpenShift 

Deploy multi-container applications 

Troubleshoot containerized applications 

Comprehensive review of curriculum

 To know more visit, top IT Training provider Global Knowledge Technologies.

[hawskstack]

Getting Started with Red Hat OpenShift Container Platform for Developers

Introduction

As organizations move toward cloud-native development, developers are expected to build applications that are scalable, reliable, and fast to deploy. Red Hat OpenShift Container Platform is designed to simplify this process. Built on Kubernetes, OpenShift provides developers with a robust platform to deploy and manage containerized applications — without getting bogged down in infrastructure details.

In this blog, we’ll explore the architecture, key terms, and how you, as a developer, can get started on OpenShift — all without writing a single line of code.

What is Red Hat OpenShift?

OpenShift is an enterprise-grade container application platform powered by Kubernetes. It offers a developer-friendly experience by integrating tools for building, deploying, and managing applications seamlessly. With built-in automation, a powerful web console, and enterprise security, developers can focus on building features rather than infrastructure.

Core Concepts and Terminology

Here are some foundational terms that every OpenShift developer should know:

Project: A workspace where all your application components live. It's similar to a folder for organizing your deployments, services, and routes.

Pod: The smallest unit in OpenShift, representing one or more containers that run together.

Service: A stable access point to reach your application, even when pods change.

Route: A way to expose your application to users outside the cluster (like publishing your app on the web).

Image: A template used to create a running container. OpenShift supports automated image builds.

BuildConfig and DeploymentConfig: These help define how your application is built and deployed using your code or existing images.

Source-to-Image (S2I): A unique feature that turns your source code into a containerized application, skipping the need to manually build Docker images.

Understanding the Architecture

OpenShift is built on several layers that work together:

Infrastructure Layer

Runs on cloud, virtual, or physical servers.

Hosts all the components and applications.

Container Orchestration Layer

Based on Kubernetes.

Manages containers, networking, scaling, and failover.

Developer Experience Layer

Includes web and command-line tools.

Offers templates, Git integration, CI/CD pipelines, and automated builds.

Security & Management Layer

Provides role-based access control.

Manages authentication, user permissions, and application security.

Setting Up the Developer Environment (No Coding Needed)

OpenShift provides several tools and interfaces designed for developers who want to deploy or test applications without writing code:

✅ Web Console Access

You can log in to the OpenShift web console through a browser. It gives you a graphical interface to create projects, deploy applications, and manage services without needing terminal commands.

✅ Developer Perspective

The OpenShift web console includes a “Developer” view, which provides:

Drag-and-drop application deployment

Built-in dashboards for health and metrics

Git repository integration to deploy applications automatically

Access to quick-start templates for common tech stacks (Java, Node.js, Python, etc.)

✅ CodeReady Containers (Local OpenShift)

For personal testing or local development, OpenShift offers a tool called CodeReady Containers, which allows you to run a minimal OpenShift cluster on your laptop — all through a simple installer and user-friendly interface.

✅ Preconfigured Templates

You can select application templates (like a basic web server, database, or app framework), fill in some settings, and OpenShift will take care of deployment.

Benefits for Developers

Here’s why OpenShift is a great fit for developers—even those with minimal infrastructure experience:

🔄 Automated Build & Deploy: Simply point to your Git repository or select a language — OpenShift will take care of the rest.

🖥 Intuitive Web Console: Visual tools replace complex command-line tasks.

🔒 Built-In Security: OpenShift follows strict security standards out of the box.

🔄 Scalability Made Simple: Applications can be scaled up or down with a few clicks.

🌐 Easy Integration with Dev Tools: Works well with CI/CD systems and IDEs like Visual Studio Code.

Conclusion

OpenShift empowers developers to build and run applications without needing to master Kubernetes internals or container scripting. With its visual tools, preconfigured templates, and secure automation, it transforms the way developers approach app delivery. Whether you’re new to containers or experienced in DevOps, OpenShift simplifies your workflow — no code required.

For more info, Kindly follow: Hawkstack Technologies

[hawkstack]

Integrating ROSA Applications with AWS Services (CS221)

In today's rapidly evolving cloud-native landscape, enterprises are looking for scalable, secure, and fully managed Kubernetes solutions that work seamlessly with existing cloud infrastructure. Red Hat OpenShift Service on AWS (ROSA) meets that demand by combining the power of Red Hat OpenShift with the scalability and flexibility of Amazon Web Services (AWS).

In this blog post, we’ll explore how you can integrate ROSA-based applications with key AWS services, unlocking a powerful hybrid architecture that enhances your applications' capabilities.

📌 What is ROSA?

ROSA (Red Hat OpenShift Service on AWS) is a managed OpenShift offering jointly developed and supported by Red Hat and AWS. It allows you to run containerized applications using OpenShift while taking full advantage of AWS services such as storage, databases, analytics, and identity management.

🔗 Why Integrate ROSA with AWS Services?

Integrating ROSA with native AWS services enables:

Seamless access to AWS resources (like RDS, S3, DynamoDB)

Improved scalability and availability

Cost-effective hybrid application architecture

Enhanced observability and monitoring

Secure IAM-based access control using AWS IAM Roles for Service Accounts (IRSA)

🛠️ Key Integration Scenarios

1. Storage Integration with Amazon S3 and EFS

Applications deployed on ROSA can use AWS storage services for persistent and object storage needs.

Use Case: A web app storing images to S3.

How: Use OpenShift’s CSI drivers to mount EFS or access S3 through SDKs or CLI.

yaml

Copy

Edit

apiVersion: v1

kind: PersistentVolumeClaim

metadata:

  name: efs-pvc

spec:

  accessModes:

    - ReadWriteMany

  storageClassName: efs-sc

  resources:

    requests:

      storage: 5Gi

2. Database Integration with Amazon RDS

You can offload your relational database requirements to managed RDS instances.

Use Case: Deploying a Spring Boot app with PostgreSQL on RDS.

How: Store DB credentials in Kubernetes secrets and use RDS endpoint in your app’s config.

env

Copy

Edit

SPRING_DATASOURCE_URL=jdbc:postgresql://<rds-endpoint>:5432/mydb

3. Authentication with AWS IAM + OIDC

ROSA supports IAM Roles for Service Accounts (IRSA), enabling fine-grained permissions for workloads.

Use Case: Granting a pod access to a specific S3 bucket.

How:

Create an IAM role with S3 access

Associate it with a Kubernetes service account

Use OIDC to federate access

4. Observability with Amazon CloudWatch and Prometheus

Monitor your workloads using Amazon CloudWatch Container Insights or integrate Prometheus and Grafana on ROSA for deeper insights.

Use Case: Track application metrics and logs in a single AWS dashboard.

How: Forward logs from OpenShift to CloudWatch using Fluent Bit.

5. Serverless Integration with AWS Lambda

Bridge your ROSA applications with AWS Lambda for event-driven workloads.

Use Case: Triggering a Lambda function on file upload to S3.

How: Use EventBridge or S3 event notifications with your ROSA app triggering the workflow.

🔒 Security Best Practices

Use IAM Roles for Service Accounts (IRSA) to avoid hardcoding credentials.

Use AWS Secrets Manager or OpenShift Vault integration for managing secrets securely.

Enable VPC PrivateLink to keep traffic within AWS private network boundaries.

🚀 Getting Started

To start integrating your ROSA applications with AWS:

 Deploy your ROSA cluster using the AWS Management Console or CLI

 Set up AWS CLI & IAM permissions

 Enable the AWS services needed (e.g., RDS, S3, Lambda)

 Create Kubernetes Secrets and ConfigMaps for service integration

 Use ServiceAccounts, RBAC, and IRSA for secure access

🎯 Final Thoughts

ROSA is not just about running Kubernetes on AWS—it's about unlocking the true hybrid cloud potential by integrating with a rich ecosystem of AWS services. Whether you're building microservices, data pipelines, or enterprise-grade applications, ROSA + AWS gives you the tools to scale confidently, operate securely, and innovate rapidly.

If you're interested in hands-on workshops, consulting, or ROSA enablement for your team, feel free to reach out to HawkStack Technologies – your trusted Red Hat and AWS integration partner.

💬 Let's Talk!

Have you tried ROSA yet? What AWS services are you integrating with your OpenShift workloads? Share your experience or questions in the comments!

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.

- Advertisement -

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]

Diving Deep into OpenShift Architecture

OpenShift is a powerful, enterprise-ready Kubernetes container orchestration platform developed by Red Hat. It extends Kubernetes with additional features, tools, and services to simplify and streamline the deployment, management, and scaling of containerized applications. Understanding OpenShift architecture is crucial for leveraging its full potential. This guide explores the core components of OpenShift, including the Master Node, Worker Nodes, and other essential elements.

Core Components of OpenShift Architecture

1. Master Node

The Master Node is the brain of an OpenShift cluster, responsible for managing the overall state of the cluster. It includes several key components:

API Server: The entry point for all REST commands used to control the cluster. It handles all the REST requests and processes them by interacting with other components.

Controller Manager: Manages various controllers that regulate the state of the cluster, such as replication controllers, node controllers, and more.

Scheduler: Assigns newly created pods to nodes based on resource availability and constraints.

etcd: A distributed key-value store used to persist the cluster state and configuration. It is crucial for maintaining the consistency and reliability of the cluster.

2. Worker Nodes

Worker Nodes run the containerized applications and workloads. Each Worker Node has the following components:

Kubelet: An agent that ensures the containers are running in a pod. It interacts with the Master Node to get the necessary information and updates.

Kube-Proxy: Maintains network rules on the nodes, allowing network communication to your pods from network sessions inside or outside of the cluster.

Container Runtime: The software responsible for running containers. OpenShift supports different container runtimes, including Docker and CRI-O.

3. Additional OpenShift Components

OpenShift Router: Manages external access to services by providing HTTP and HTTPS routes to the services. It ensures that incoming traffic reaches the appropriate pods.

Registry: An integrated container image registry that stores and manages Docker-formatted container images.

Authentication and Authorization: OpenShift integrates with various identity providers for user authentication and enforces role-based access control (RBAC) for authorization.

Web Console: A user-friendly interface for managing and monitoring the OpenShift cluster and applications.

OpenShift Architecture Diagram

Here's a simplified diagram to visualize the OpenShift architecture:

In this diagram:

The Master Node components (API Server, Controller Manager, Scheduler, etcd) are shown at the top.

The Worker Nodes, each containing Kubelet, Kube-Proxy, and Container Runtime, are depicted below the Master Node.

Additional components like the OpenShift Router, Registry, and Web Console are also illustrated to show their integration with the cluster.

Conclusion

OpenShift's architecture is designed to provide a robust, scalable, and flexible platform for deploying containerized applications. By understanding the roles and interactions of the Master Node, Worker Nodes, and additional components, you can effectively manage and optimize your OpenShift environment.

Feel free to ask any questions or seek further clarification on specific components or functionalities within the OpenShift architecture!

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