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In today’s fast-evolving hybrid cloud landscape, organizations often face a crucial challenge — how to manage both virtual machines (VMs) and containers efficiently without maintaining separate infrastructures. Red Hat’s DO316 – Managing Virtual Machines with Red Hat OpenShift Virtualization course offers the perfect solution by teaching professionals how to unify these environments within Red Hat OpenShift, the industry’s leading Kubernetes platform.

🚀 What is DO316?

DO316 is an advanced Red Hat OpenShift Virtualization course designed to help system administrators, DevOps engineers, and cloud professionals run, manage, and scale virtual machines alongside containers in a single OpenShift environment. Through hands-on labs and real-world simulations, learners gain practical expertise in deploying, networking, and securing VM workloads using OpenShift’s native tools and interfaces.

🧩 Why It Matters

Many enterprises continue to rely on legacy applications that run on virtual machines. Migrating these applications to containers isn’t always feasible immediately — that’s where OpenShift Virtualization bridges the gap. With DO316, professionals learn how to manage both VMs and containers on one unified platform, reducing complexity, improving efficiency, and paving the way for modern, hybrid cloud operations.

🧠 Key Learning Outcomes

By completing DO316, participants will learn how to:

Deploy and manage virtual machines on OpenShift using templates, images, and operators.

Integrate storage and networking for VM workloads leveraging Kubernetes-native resources.

Perform live migrations, snapshots, and scaling operations for VMs.

Implement access controls, resource quotas, and troubleshooting within OpenShift Virtualization.

Unify VM and container management for better operational visibility and reduced overhead.

👨‍💻 Who Should Enroll

This course is ideal for:

System Administrators managing both VM-based and containerized environments.

Cloud or Platform Engineers transitioning legacy workloads to OpenShift.

DevOps and SRE professionals seeking to streamline hybrid infrastructure management.

Prerequisite: It is recommended that learners have completed DO280 (Red Hat OpenShift Administration II) or possess equivalent OpenShift experience before taking DO316.

🎯 Benefits of DO316

Unified Infrastructure Management – Manage VMs and containers within a single OpenShift environment.

Enterprise-Grade Security – Learn to apply OpenShift’s built-in policies, RBAC, and isolation for VM workloads.

Operational Efficiency – Simplify management with automation, templates, and self-service provisioning.

Future-Ready Skills – Stay ahead in the hybrid cloud era with cross-domain virtualization knowledge.

Pathway to Advanced Certifications – Strengthen your journey toward Red Hat Certified Architect (RHCA).

🌐 Real-World Impact

Enterprises using Red Hat OpenShift Virtualization experience improved agility, reduced infrastructure costs, and seamless workload management across hybrid environments. DO316 equips professionals to deliver these benefits, making them invaluable in modern IT teams focusing on cloud-native transformation.

🏁 Conclusion

The DO316 course is more than just another certification — it’s your gateway to mastering hybrid infrastructure management. By learning to handle VMs and containers together, you unlock flexibility, scalability, and future-ready skills that align with today’s cloud-native trends.

📅 Get Started with HawkStack

HawkStack, a Red Hat Authorized Training Partner, offers DO316 with expert-led sessions, hands-on labs, and real-world case studies. Join our next batch and take your OpenShift skills to the next level!

Introduction

Red Hat Enterprise Linux 10 (RHEL 10) marks a major leap in enterprise operating systems, designed to power the next generation of cloud, AI, and hybrid workloads. This release redefines Linux not just as an operating system but as a complete platform for modern infrastructure — blending innovation, security, and scalability for enterprise, DevOps, and cloud professionals alike.

1. AI-Ready and Developer-Friendly

RHEL 10 introduces Lightspeed, an AI-powered assistant built directly into the OS. It offers intelligent insights, real-time troubleshooting, and contextual recommendations for administrators and developers. The system also ships with updated developer tools — newer versions of Python, Node.js, and GCC — ensuring developers can build modern, efficient applications right out of the box.

Why it matters: This makes RHEL 10 not just a deployment platform, but a productivity environment that accelerates development and operations.

2. Image Mode and Cloud-Native Management

RHEL 10 brings Image Mode, enabling container-style OS management. Administrators can now deploy and manage RHEL using image-based workflows, similar to how containers are built and versioned. It also provides stronger, native integration with major public clouds like AWS, Azure, and GCP, offering optimized and consistent performance across hybrid environments.

Why it matters: Simplified lifecycle management and seamless hybrid operations make RHEL 10 ideal for organizations running workloads across multiple environments.

3. Security and Post-Quantum Readiness

Security remains a top priority in RHEL 10. It is the first enterprise Linux platform to include post-quantum cryptography support, preparing organizations for future-proof data protection. Additional features include improved Hardware Security Module (HSM) support, enhanced compliance tooling, and stricter CVE and FIPS enforcement.

Why it matters: RHEL 10 ensures your systems are protected not only against current threats but also against emerging, next-generation risks.

4. Broad Hardware and Architecture Support

RHEL 10 extends support across a wide range of hardware architectures — x86_64, ARM, IBM Power, IBM Z, and developer previews for RISC-V. The updated Linux kernel (6.12 base) introduces improved performance, energy efficiency, and extended hardware compatibility.

Why it matters: From edge computing to mainframe environments, RHEL 10 is designed for flexibility, scalability, and performance across every deployment scenario.

5. Simplified Upgrades and Long-Term Stability

Upgrading from RHEL 9 to RHEL 10 has been made easier with refined migration tools and automated checks. Red Hat emphasizes long-term stability, offering extended support lifecycles and guaranteed compatibility for enterprise applications.

Why it matters: Organizations gain peace of mind knowing their infrastructure remains stable, predictable, and aligned with long-term digital strategies.

Why You Should Learn RHEL 10

Stay Current: RHEL 10 represents the latest evolution of enterprise Linux — learning it ensures your skills stay future-ready.

Career Growth: With enterprises adopting hybrid and cloud strategies, RHEL 10 expertise makes you stand out as a modern IT professional.

Foundation for OpenShift and DevOps: RHEL 10 is the backbone for Red Hat OpenShift, Ansible Automation Platform, and containerized workloads.

Future-Ready Security: Gain firsthand experience with cutting-edge security and compliance features that shape tomorrow’s IT environments.

Getting Started

Explore RHEL 10’s features through hands-on labs or a trial version.

Enroll in Red Hat training courses like RHCSA, RHCE, or advanced OpenShift tracks built on RHEL 10.

Practice automation and hybrid deployment workflows using Ansible and container image mode.

Join learning communities and certification programs to enhance your expertise.

Conclusion

RHEL 10 is more than just another version it’s a bold step toward intelligent, cloud-native, and AI-driven infrastructure. Whether you’re a system administrator, DevOps engineer, or cloud architect, mastering RHEL 10 will position you at the forefront of enterprise technology transformation.

Stay ahead. Learn RHEL 10. Lead the modernization wave.

The hybrid-cloud landscape is shifting fast. Organizations are no longer just looking for container orchestration—they want a platform that seamlessly bridges on-premises, public cloud and edge, while supporting modern workloads like AI/ML, VMs and serverless. With OpenShift 4.20, Red Hat is delivering precisely that.

What’s driving the change

Enterprises today face a mix of legacy systems (virtual machines, older apps), containerised microservices, and high-velocity AI/ML pipelines. Without a unified platform, complexity creeps in: silos form, operations get fragmented, governance becomes inconsistent. Feedback from cloud architects and DevOps teams is loud: one platform to rule them all is no longer optional—it’s a necessity. In fact, a Reddit user put it well:

“OpenShift is a standardized way of doing enterprise-scale microservices. It can get companies there to deliver business value faster.”

OpenShift 4.20 is the answer. It brings advanced capabilities tuned for hybrid cloud + AI + scale, while preserving enterprise-grade reliability and security.

Key Features (what you get)

Here are the standout features you should know about:

Unified hybrid-cloud management: A consistent operational fabric across on-premises, public cloud and edge. Deploy once, manage everywhere.

AI/ML-ready infrastructure: Built-in support for GPU scheduling, model-training and deployment at scale — getting the ML lifecycle onto the same platform as apps.

Virtualisation + containers: Legacy VMs and modern containers can live side-by-side. With the included Red Hat OpenShift Virtualization, organisations can migrate VMs at scale and manage both workload types from one console.

Enhanced developer experience: Developers benefit from streamlined tooling, unified developer portals and simplified pipelines, making time-to-market shorter.

Stronger security & compliance: Across the hybrid estate, policy controls, hardened baselines and governance are baked in—no patchwork toolchains required.

Business Benefits (why it matters)

These features translate into tangible business gains:

Accelerated innovation: With a unified platform, teams experiment and release faster. The friction between infrastructure and application teams comes down.

Reduced operational complexity & cost: Fewer platforms to manage means less overhead. Managing VMs + containers + AI on one system lowers tooling and training burden.

Future-proof architecture: Whether you’re moving to multi-cloud, edge computing or deploying AI/ML, OpenShift 4.20 positions you for the next wave of demand.

Consistent developer & ops experience: A standard platform means fewer surprises, better collaboration between dev and ops, and smoother workflows.

Enterprise-grade scalability & security: As workloads grow in size, complexity and criticality, you have a foundation that supports them safely and reliably.

Look ahead

While version 4.20 pushes the envelope, it also marks a strategic shift: OpenShift isn’t just about containers anymore. It’s about being the platform for modern enterprise infrastructure—hybrid cloud, AI, containers, VMs—all under one roof. For organisations wanting to break down silos and operational boundaries, this release is the catalyst.

🌐 Introduction

The year 2025 marks a pivotal moment for cloud and automation professionals. As enterprises accelerate digital transformation, hybrid cloud, automation, and containerization are no longer buzzwords they’re business imperatives. Amid this evolution, Red Hat Certified Architects (RHCA) stand out as the most sought-after experts, bridging the gap between traditional infrastructure and next-generation platforms like OpenShift, Ansible Automation Platform, and RHEL 10.

🎯 What Is RHCA and Why It Matters

The Red Hat Certified Architect (RHCA) is the highest level of Red Hat certification, symbolizing mastery across multiple domains system administration, automation, container orchestration, cloud management, and security. It’s not just a technical badge it’s a leadership credential that validates the ability to design, implement, and manage enterprise-grade hybrid environments with Red Hat technologies.

RHCA offers two major paths:

🧠 RHCA in Infrastructure – Focused on RHEL, Ansible, Satellite, Identity Management, and security.

☁️ RHCA in OpenShift – Focused on Kubernetes, containers, CI/CD, and hybrid cloud platforms.

💡 Scope and Demand for RHCA in 2025

1. Hybrid Cloud Leadership

With OpenShift leading Gartner’s Magic Quadrant and enterprises adopting hybrid models across AWS, Azure, and on-prem, RHCAs are driving hybrid strategy and governance. Companies need professionals who can orchestrate workloads across diverse infrastructures, ensure security compliance, and manage multi-cloud clusters seamlessly.

2. Automation Expertise

As organizations chase efficiency, Ansible Automation Platform (AAP) has become the backbone of enterprise IT. RHCA holders are automation architects, designing scalable workflows that replace thousands of manual tasks with reusable playbooks fueling DevOps, SecOps, and NetOps teams.

3. Container & Cloud-Native Mastery

RHCA professionals trained in OpenShift (DO280, DO380, DO316) lead containerization and microservice modernization initiatives. By 2025, every DevOps or SRE role expects Kubernetes proficiency, but RHCA adds the enterprise-grade security and scalability lens that sets you apart.

4. Security & Compliance

With security frameworks evolving under DevSecOps, RHCAs with DO374, DO425, and DO316 are shaping secure pipelines and identity governance in enterprise clusters critical in regulated sectors like BFSI, healthcare, and telecom.

5. Career Growth & Respect

RHCA-certified professionals are not just administrators they are solution architects, consultants, and technical leaders. Average salary growth exceeds 30–50% post-certification, with roles like:

Principal Consultant / Architect

Hybrid Cloud Engineer

DevOps Lead / Platform Engineer

OpenShift Practice Head

🔮 The Future Outlook

By 2025 and beyond, Red Hat technologies remain central to the open-source enterprise ecosystem, powering hybrid clouds, automation pipelines, AI/ML workloads, and edge computing. With RHEL 10, OpenShift AI (AI267), and Ansible Lightspeed expanding possibilities, RHCAs will be the architects of AI-driven automation.

In short — if you aim to lead cloud-native transformation, RHCA is your passport.

🏁 Conclusion

The Scope of RHCA in 2025 is vast and future-proof. It’s not just about certifications—it’s about architecting the next era of enterprise IT. Whether you’re a Linux Admin, DevOps Engineer, or Cloud Consultant, pursuing RHCA positions you as an elite professional ready to design, secure, and automate the hybrid world.

📢 Call to Action

At HawkStack Technologies, we help professionals achieve RHCA mastery through expert-led OpenShift, Ansible, and Linux trainings, real-world labs, and Red Hat exam kiosks for hands-on certification experience.

👉 Start your RHCA journey today. 📩 Connect with us to build your Hybrid Cloud & Automation roadmap for 2025.

In today’s IT world, System Administrators are the backbone of every organization. But as automation, DevOps, and cloud-native technologies reshape the industry, many admins find themselves asking: “What’s next for my career?”

The answer for many lies in evolving into a Linux Engineer — and the key step in that journey is earning the Red Hat Certified Engineer (RHCE) certification.

🧭 Why Move from Admin to Engineer?

A System Administrator typically focuses on maintaining systems — installations, configurations, user management, and routine maintenance.

A Linux Engineer, on the other hand, designs, automates, and optimizes infrastructure — applying advanced skills in scripting, containerization, and automation platforms like Ansible and OpenShift.

This evolution transforms your role from maintenance to innovation — making you a critical player in modern IT transformation projects.

🎯 What RHCE Adds to Your Skillset

The Red Hat Certified Engineer (RHCE) is more than just another certification — it’s proof that you can automate enterprise-grade infrastructure at scale.

After earning RHCSA (EX200), RHCE (EX294) helps you:

Master Ansible Automation for configuration management and orchestration

Manage hundreds of systems simultaneously using playbooks and inventories

Design repeatable, error-free deployment pipelines

Strengthen your DevOps and Cloud foundation (key for OpenShift, AWS, or Kubernetes roles)

Increase your salary potential by up to 40–60%, depending on industry and region

🧩 The Transition Path: Step-by-Step

1️⃣ Build Your Foundation (RHCSA) Understand Linux fundamentals — users, permissions, file systems, networking, and basic automation.

2️⃣ Level Up with Automation (RHCE) Automate everything with Ansible — from provisioning to patching to multi-node deployments.

3️⃣ Apply Engineering Principles Start designing infrastructure-as-code, integrate CI/CD, and adopt DevOps workflows.

4️⃣ Explore Cloud & Containerization After RHCE, move toward OpenShift (DO280) or Ansible Advanced (DO374) — building end-to-end automation and cloud-native pipelines.

💼 Real-World Career Benefits

✅ Move from routine maintenance tasks to strategic automation projects ✅ Gain eligibility for roles like DevOps Engineer, Cloud Engineer, or OpenShift Specialist ✅ Improve efficiency, reduce manual workloads, and boost infrastructure reliability ✅ Increase your visibility in enterprise and consulting projects

🌟 Success Story Snapshot

Many professionals who started as Linux System Administrators have advanced to roles like:

Automation Engineer (RHCE + Ansible)

DevOps Engineer (RHCE + DO280)

OpenShift Administrator / Architect (RHCE + RHCA)

At HawkStack Technologies, we’ve helped hundreds of learners achieve this transition through hands-on labs, guided mentorship, and Red Hat exam-ready preparation.

🔗 Your Next Step

If you’re an admin ready to engineer the future — start your RHCE journey today. 👉 Learn. Automate. Lead.

Enroll in RHCE Training with HawkStack Technologies 📍 Instructor-led | 24×7 Lab Access | Official Red Hat Curriculum

For more info. Hawkstack

As organizations continue to expand their cloud-native operations, the need for scalable, secure, and automated container platforms has never been greater. Red Hat’s DO380 – OpenShift Administration III course empowers IT professionals to manage OpenShift at enterprise scale building resilient, high-performing Kubernetes environments that meet real-world production demands.

🌐 1. Enterprise-Scale Cluster Management

DO380 dives deep into multi-cluster management and advanced scaling strategies using Red Hat Advanced Cluster Management (RHACM) and GitOps workflows. Learners gain the ability to manage multiple OpenShift environments across hybrid or multi-cloud setups ensuring consistent configurations, policies, and security across all clusters.

Key skills include:

Managing clusters at scale with RHACM

Implementing GitOps workflows for automated governance

Applying policies and compliance controls across environments

⚙️ 2. Advanced Networking and Performance Optimization

At enterprise scale, network performance directly impacts reliability. DO380 equips administrators with tools to configure and optimize OpenShift SDN, Ingress, and Load Balancers to enhance communication between pods, nodes, and services.

Key learning areas:

Network tuning and troubleshooting

Load balancing for high availability

Optimizing cluster communication for large-scale workloads

🧩 3. Application Scalability and Lifecycle Automation

Scaling is not just about adding nodes it’s about automating deployments and ensuring apps can scale dynamically under load. DO380 teaches administrators how to leverage Horizontal Pod Autoscalers (HPA), Cluster Autoscalers, and Operator-based deployments to maintain optimal performance in enterprise workloads.

Key outcomes:

Automate application scaling

Streamline rolling updates and zero-downtime deployments

Integrate GitOps for continuous delivery at scale

🔐 4. Enterprise Security and Governance

With growth comes complexity — and security must scale with it. The DO380 course covers enterprise-level role-based access control (RBAC), namespace governance, and multi-tenancy management to ensure data integrity, compliance, and workload isolation.

Core focus areas:

Centralized access and identity management

Security and compliance policies across clusters

Best practices for workload isolation and governance

🧠 5. Real-World Use Cases and Hands-On Experience

What sets DO380 apart is its practical, scenario-driven approach. Participants work through real-world enterprise challenges — managing hybrid workloads, optimizing performance, and securing multi-cluster architectures using the latest Red Hat OpenShift capabilities.

Hands-on labs include:

Scaling clusters dynamically

Implementing GitOps and automation

Configuring monitoring and observability tools

🎯 Who Should Take DO380?

This course is designed for:

OpenShift Administrators managing large-scale clusters

DevOps Engineers implementing CI/CD pipelines at enterprise scale

Platform Engineers responsible for OpenShift governance and automation

Pre-requisite: Learners should have completed DO280 – Red Hat OpenShift Administration II or have equivalent experience in OpenShift cluster management.

💼 The Bigger Picture: Why DO380 Matters

As enterprises move toward hybrid and multi-cloud ecosystems, scalability, automation, and resilience become the backbone of successful digital transformation. DO380 bridges this gap helping professionals transform their OpenShift environments into scalable, self-healing, enterprise-grade platforms.

With Red Hat’s proven methodology and HawkStack’s expert-led guidance, learners gain the skills to build and manage next-generation OpenShift infrastructure ready for the demands of modern enterprises.

✅ Conclusion

The DO380 course is more than just an advanced OpenShift class it’s a strategic step toward mastering enterprise Kubernetes operations. Whether you’re a system administrator, DevOps engineer, or cloud architect, DO380 equips you with the knowledge to scale deployments, enforce governance, and optimize performance driving true enterprise-grade efficiency.

🧩 Course Overview

DO316 – Managing Virtual Machines with Red Hat OpenShift Virtualization teaches how to run and manage virtual machines (VMs) alongside containers within a single OpenShift platform. It’s a game-changing course for hybrid cloud and datacenter modernization.

💡 1. Unifies Containers and Virtual Machines

Most enterprises still rely on VM-based workloads (like VMware or KVM). DO316 helps you run VMs directly inside OpenShift, eliminating the need for separate virtualization infrastructure.

🧠 One platform → One management layer → One operations model.

⚙️ 2. Reduces Dependency on VMware

With OpenShift Virtualization, organizations can migrate workloads from VMware or other hypervisors to OpenShift — achieving cost savings, flexibility, and open-source freedom. It’s crucial now as many enterprises plan their VMware-to-OpenShift migration strategy.

💬 “From virtual machines to containers — without disruption.”

☁️ 3. Builds Skills for the Future of Hybrid Cloud

This course prepares administrators and architects to:

Deploy and manage VMs in OpenShift

Integrate VMs with Kubernetes-based workloads

Manage networking, storage, and high availability for VMs

Automate VM operations using Ansible and GitOps

🌐 Perfect for teams running hybrid workloads across datacenter and cloud.

🔒 4. Enterprise-Ready Security & Lifecycle Management

OpenShift Virtualization integrates native security, RBAC, and lifecycle automation — ensuring consistency across all workloads (VMs + containers). DO316 teaches you to manage both through a single interface and API.

🚀 5. Essential for RHCA & Cloud Architects

DO316 is part of the Red Hat Certified Architect (RHCA) path, making it an important step toward advanced OpenShift specialization. Completing it strengthens your profile for:

Cloud Architect

OpenShift Administrator

Infrastructure Engineer

Virtualization Specialist

🧠 In Short

🔧 Skill🎯 BenefitVM + Container ManagementUnified Platform OperationsMigration from VMwareCost & License OptimizationHybrid Cloud IntegrationScalability & FlexibilityRHCA Path AlignmentCareer Growth & Recognition

🎓 Why Choose HawkStack for DO316

✅ Red Hat Certified Instructors (RHCA) ✅ 100% Lab-Based Training ✅ Real-Time OpenShift Virtualization Projects ✅ Exam Preparation for EX316

Artificial Intelligence (AI) is transforming how organizations operate from predictive analytics to intelligent automation. But the real challenge isn’t building AI models; it’s deploying and scaling them efficiently. That’s exactly where Red Hat OpenShift steps in.

🔹 The Power of OpenShift in AI Workloads

Red Hat OpenShift isn’t just another container platform. It’s a Kubernetes-based enterprise-grade solution designed to help teams build, train, and deploy AI/ML models faster and more reliably.

Here’s why it matters for AI practitioners:

Scalability on demand: OpenShift helps run machine learning workloads seamlessly across hybrid or multi-cloud environments.

Integrated MLOps: With Red Hat OpenShift AI (formerly Open Data Science Platform), data scientists and developers can collaborate, automate pipelines, and reduce time-to-insight.

Security & compliance: Enterprises trust OpenShift for its hardened container images, role-based access control, and built-in CI/CD security layers.

In short, OpenShift turns AI from a lab experiment into a production-ready capability.

🔹 Red Hat Certification: Your Gateway to the AI-Cloud Era

With the rise of AI-driven development, Red Hat certifications like:

DO280: Red Hat OpenShift Administration II

DO370: Enterprise Kubernetes Storage

DO400: Red Hat DevOps Pipelines and Processes

AI267: Red Hat OpenShift AI are now becoming career essentials.

These programs don’t just teach tools they validate your ability to design, deploy, and manage intelligent workloads using real-world enterprise environments.

🔹 Why It Matters for Professionals

If you’re aiming to work in DevOps, cloud architecture, or AI infrastructure, mastering OpenShift with Red Hat certifications gives you:

Hands-on expertise with production-grade AI deployment.

A recognized credential trusted by top employers.

A bridge between data science and operations the foundation of MLOps.

🔹 Future-Proof Your Career

As AI models become part of everyday business operations, the need for professionals who can operationalize AI on scalable platforms is skyrocketing. By combining AI and OpenShift skills, you position yourself at the intersection of innovation and infrastructure the most valuable place to be in today’s tech landscape.

In short: 👉 Learn AI. 👉 Master OpenShift. 👉 Get Red Hat Certified and lead the AI revolution from the front.

🔖 Suggested Hashtags

#RedHat #OpenShift #ArtificialIntelligence #MachineLearning #MLOps #Kubernetes #CloudComputing #DevOps #RedHatCertification #CareerGrowth

In today’s cloud-native world, managing data at scale is just as critical as deploying applications. Red Hat OpenShift Data Foundation (ODF) takes Kubernetes storage to the next level and the DO370 course helps you master it.

What is DO370?

DO370: Enterprise Kubernetes Storage with Red Hat OpenShift Data Foundation is a hands-on training course designed to teach you how to deploy, configure, and manage highly available and scalable storage for containerized applications running on Red Hat OpenShift.

This course bridges the gap between traditional storage management and the dynamic, software-defined storage needs of Kubernetes environments.

Why Learn Enterprise Kubernetes Storage?

As organizations move workloads to containers, persistent storage becomes a major challenge. Kubernetes alone doesn’t handle data persistence and that’s where Red Hat OpenShift Data Foundation (ODF) comes in.

ODF simplifies how storage is provisioned, managed, and scaled for containerized apps, giving you a single, integrated solution for all data services block, file, and object.

With DO370, you’ll learn to:

Deploy and manage Red Hat OpenShift Data Foundation on OpenShift clusters.

Configure persistent storage for containerized workloads.

Ensure data availability, replication, and performance across environments.

Monitor and troubleshoot storage issues using built-in tools.

Understand storage integration with OpenShift operators and automation workflows.

Who Should Take This Course?

This course is perfect for:

OpenShift Administrators who manage enterprise clusters.

Storage Engineers moving toward container-based architectures.

DevOps Professionals who need end-to-end understanding of persistent storage in Kubernetes.

Cloud Architects designing scalable storage for hybrid and multi-cloud setups.

If you’ve already worked with OpenShift (for example, taken DO280 – OpenShift Administration II) DO370 is a natural next step.

Key Skills You’ll Gain

Hands-on experience with Ceph-based storage and ODF architecture.

The ability to deploy and manage stateful applications.

Knowledge of data resilience, performance tuning, and scaling strategies.

Understanding of storage classes, dynamic provisioning, and PVCs in real-world use cases.

Why It Matters

Data is the backbone of every modern application. As containers and microservices evolve, enterprises need storage that’s as flexible and automated as their workloads. Mastering OpenShift Data Foundation gives you the power to deliver consistent, reliable, and scalable storage across hybrid and cloud-native environments.

Final Thought

DO370 – Enterprise Kubernetes Storage with Red Hat OpenShift Data Foundation isn’t just another course it’s your path to mastering data management in Kubernetes. Whether you’re scaling enterprise workloads or ensuring business continuity, this skill set is becoming a must-have in the DevOps world.

#RedHatTraining #OpenShift #KubernetesStorage #RedHatODF #DO370 #CloudNative #DevOps #Containers #EnterpriseStorage

In today’s cloud-native world, Kubernetes has become the standard for deploying, scaling, and managing containerized applications. While understanding Kubernetes at an operational level is important, developers face unique challenges in building and deploying applications efficiently on this platform. That’s where the Certified Kubernetes Application Developer (CKAD) course comes in.

1. Bridge the Gap Between Development and Kubernetes

Many developers are skilled at writing applications but struggle when it comes to deploying them in Kubernetes environments. The CKAD course focuses on the developer’s perspective, teaching you how to design, build, and deploy applications in Kubernetes without getting bogged down by cluster management complexities.

2. Hands-On Skills for Real-World Applications

CKAD is not just theoretical. The course emphasizes practical skills through exercises that mimic real-world scenarios. You’ll learn how to:

Design multi-container applications

Manage configuration and secrets

Troubleshoot and debug applications in Kubernetes

Optimize application performance and scalability

This hands-on approach ensures you can apply your knowledge immediately in production environments.

3. Stay Relevant in the DevOps Era

Organizations are increasingly seeking developers who can work seamlessly with DevOps teams and understand cloud-native workflows. CKAD certification demonstrates that you can build applications optimized for Kubernetes, making you a valuable asset in modern software teams.

4. Boost Your Career Prospects

As more companies adopt Kubernetes, demand for certified developers is soaring. CKAD certification is a proof point of your expertise, helping you stand out in competitive job markets, qualify for higher roles, and command better compensation.

5. Future-Proof Your Skills

The tech landscape is evolving rapidly. Kubernetes isn’t going away anytime soon, and applications are increasingly containerized. CKAD ensures that your skill set remains current and aligned with industry trends.

Conclusion:

The CKAD course is more than a certification it’s a pathway to becoming a confident, cloud-native application developer. Whether you are a software engineer, DevOps professional, or aspiring Kubernetes developer, mastering CKAD equips you with the knowledge and practical skills to thrive in modern application development.

The world of AI isn’t just about building smarter models anymore it’s about deploying, scaling, and managing them in production. That’s exactly where Red Hat’s AI267: Developing and Deploying AI/ML Applications on Red Hat OpenShift AI steps in.

And in 2025, this course has become one of the most in-demand certifications for professionals aiming to merge AI and DevOps skills.

🚀 What AI267 Is All About

AI267 is Red Hat’s hands-on training that teaches you how to:

Build and deploy AI/ML models using Red Hat OpenShift AI

Manage pipelines, training environments, and experiments

Handle hybrid and multi-cloud infrastructure for AI workloads

Operate models at scale with reliability and security

It also aligns with the EX267 Certification (Red Hat Certified Specialist in OpenShift AI), validating your ability to work on real-world MLOps and deployment projects.

💡 Why AI267 Is So Popular in 2025

1. The Shift from AI Research to AI Operations

AI used to be all about model accuracy. Now, enterprises want production-ready AI systems models that can scale, update, and run efficiently. AI267 fills this gap by teaching how to integrate machine learning with Kubernetes and OpenShift for real business applications.

2. Hybrid Cloud and OpenShift Boom

Organizations worldwide are embracing hybrid and multi-cloud setups, and Red Hat OpenShift has become a preferred platform. Knowing how to deploy AI models in this environment is now a critical skill not a nice-to-have.

3. Trusted Red Hat Certification

Red Hat certifications have a solid reputation for proving practical skills. The EX267 exam is hands-on, not multiple choice, which means certified professionals can actually deliver not just memorize.

4. Updated for 2025 Trends

The latest version (OpenShift AI 2.13) includes new modules around Large Language Models (LLMs), transfer learning, and AI pipelines keeping it perfectly aligned with the direction AI is moving in.

5. Global Skill Gap in MLOps

While there are plenty of data scientists, there’s a shortage of professionals who can deploy, monitor, and maintain AI systems. That’s why companies are willing to pay more for people who understand both AI and infrastructure the exact blend AI267 teaches.

🌍 India’s AI Education Boom

In India, AI and Data Science courses are among the most sought-after programs in 2025. Thousands of new AI-focused seats in engineering and upskilling institutes are filling up fast. This growing interest translates directly into higher demand for certified AI/ML deployment specialists, especially those skilled in enterprise platforms like Red Hat OpenShift.

⚙️ The Takeaway

If your goal is to: ✅ Work in AI Infrastructure, MLOps, or Cloud Engineering ✅ Learn to deploy and scale ML models in production ✅ Gain a recognized Red Hat credential that opens enterprise doors

Then the AI267 course is absolutely worth your time.

It’s the bridge between AI innovation and reliable deployment and in 2025, that’s exactly where the tech world’s attention (and investment) is focused.

🚀 Introduction

In the evolving world of cloud-native development, automation is no longer a luxury it’s the backbone of scalability and resilience. Kubernetes introduced the concept of Operators to simplify application lifecycle management, and Red Hat OpenShift has taken it to the next level by providing a mature Operator Framework.

If you’re building or managing applications on OpenShift, understanding Operators is no longer optional it’s essential.

🧠 What Are Operators in OpenShift?

An Operator is a method of packaging, deploying, and managing Kubernetes-native applications. It acts as an automated administrator, using the Kubernetes API to observe the state of your application and perform human-like actions to keep it healthy and up to date.

At its core, an Operator consists of:

Custom Resource Definitions (CRDs): Extends the Kubernetes API to define new types (e.g., a “Database” or “Cache”).

Controller Logic: The brain that watches resources and executes automated tasks — like upgrades, scaling, and recovery.

In simple terms, Operators bring DevOps intelligence into your clusters.

⚙️ Why Operators Matter for Scaling Applications

As organizations adopt microservices and containerized architectures, managing complex deployments manually becomes a bottleneck. Operators solve this challenge by automating routine operations such as:

Self-healing: Automatically restarting or reconfiguring apps when failures occur.

Scaling: Monitoring resource utilization and dynamically adjusting replicas.

Upgrades: Performing rolling updates or version migrations safely.

Day-2 Operations: Handling backup, restore, and security patching automatically.

With Operators, you’re not just deploying applications — you’re deploying application intelligence.

🔁 The Operator Pattern: A Deeper Look

The Operator pattern encapsulates the idea of extending Kubernetes’ declarative model to manage complex systems.

Here’s how the pattern evolves:

Basic Install Operator: Handles app deployment.

Lifecycle Operator: Manages upgrades and version control.

Full Stack Operator: Incorporates scaling, failover, monitoring, and policy enforcement.

Composite Operator: Manages multiple interdependent apps as one logical unit.

Each pattern represents a step toward autonomous infrastructure where systems manage themselves with minimal human oversight.

💡 How OpenShift Makes It Seamless

Red Hat OpenShift simplifies Operator adoption through the Operator Lifecycle Manager (OLM) and OperatorHub.io, where users can easily find and install certified Operators for databases, monitoring tools, and CI/CD platforms.

Key OpenShift features include:

Integrated OLM: Handles installation, updates, and dependency management.

Red Hat Certified Operators: Pre-tested for compatibility and security.

Cluster-Wide Governance: Apply RBAC, namespaces, and policy controls seamlessly.

This means you can deploy production-ready Operators such as those for Kafka, PostgreSQL, or OpenShift GitOps in minutes.

🔮 The Future of Automation with Operators

The future of enterprise automation lies in autonomous operations where infrastructure and applications dynamically respond to changing demands without manual intervention.

Operators are the foundation of this shift. They bridge the gap between declarative infrastructure and intelligent automation, creating systems that continuously optimize themselves.

From AI-powered scaling decisions to policy-driven remediation, Operators are paving the way for self-managing cloud platforms.

🧭 Conclusion

Mastering OpenShift Operators is not just about learning a new tool it’s about adopting a new mindset. Operators empower your DevOps teams to focus on innovation rather than maintenance, turning infrastructure into a living, learning system.

In the age of cloud-native automation, Operators are not the future — they are the present.

🔗 Ready to Learn More?

HawkStack offers expert-led training on OpenShift Administration (DO280) and Advanced Cluster Management (DO380), including practical labs on Operator patterns, lifecycle management, and automation workflows.

📩 Join our next batch and start your journey toward mastering the future of automation!

AI268 is a hands-on Red Hat course designed to help professionals build, deploy, and manage AI/ML applications using Red Hat OpenShift AI combining data science workflows with enterprise-grade infrastructure.

🧠 What You’ll Learn

This course dives deep into practical AI/ML development within OpenShift AI. You’ll learn how to:

Install and manage OpenShift AI environments

Use Jupyter notebooks for experimentation and data exploration

Train, fine-tune, and deploy both default and custom machine learning models

Serve models securely and efficiently in production

Build, track, and optimize full AI/ML pipelines using experiments and metrics

👩‍💻 Who It’s For

Perfect for:

Data Scientists and Machine Learning Engineers

Developers integrating AI/ML into modern applications

MLOps and DevOps professionals managing end-to-end model lifecycles

🧩 Prerequisites

Before taking AI268, learners should be comfortable with:

Python programming (or have completed the AD141 course)

Basic OpenShift and container concepts (or have completed DO288)

General AI/ML principles and workflows

💡 Why It Matters

AI268 bridges the gap between data science innovation and production-ready deployment. It helps teams build scalable, secure AI/ML solutions within OpenShift with full control over infrastructure, resources, and collaboration.

Completing this course and exam demonstrates your ability to deliver enterprise-grade AI/ML applications that are reliable, observable, and ready for real-world use.

The RH199 course is an accelerated training program that combines the content of Red Hat System Administration I (RH124) and II (RH134) into a 5-day intensive. It’s designed for experienced Linux administrators aiming to fast-track their RHCSA certification on Red Hat Enterprise Linux 9.

📚 What You’ll Learn

Managing users, groups, and authentication

Package management with DNF and AppStream modules

Storage management using LVM and Stratis

Networking and firewall configuration

System performance tuning and process management

SELinux security policies

Container management with Podman

Using Cockpit for system administration

The course is hands-on, with labs performed in Red Hat’s Online Learning Environment.

💡 Tips for Success

Know the Basics: Ensure you're comfortable with Linux fundamentals before enrolling.

Practice: Hands-on experience is crucial. Utilize the provided labs and practice environments.

Utilize Resources: Familiarize yourself with man pages and Red Hat documentation.

Stay Updated: The course content is regularly updated to align with the latest Red Hat Enterprise Linux versions.

📍 Availability

The RH199 course is offered globally, including in Bengaluru, Karnataka. You can check Red Hat’s official training portal or local authorized training partners for schedules and enrollment details.

In the era of AI-driven transformation, Red Hat OpenShift 4.19 arrives with one goal — to make enterprise Kubernetes smarter, faster, and more scalable.

From AI-powered assistance to enhanced GitOps and virtualization, this release strengthens OpenShift’s position as the go-to hybrid cloud platform for modern enterprises.

Let’s dive deep into what’s new, why it matters, and how it’s shaping the future of DevOps and MLOps.

🚀 Key Highlights in OpenShift 4.19

🔹 1. OpenShift Lightspeed AI Assistant for DevOps

The biggest highlight of OpenShift 4.19 is OpenShift Lightspeed, a built-in AI assistant that helps developers and administrators inside the console. It provides:

Contextual guidance for troubleshooting

YAML generation and automation help

AI-based suggestions for configuration and deployments

With Lightspeed, Red Hat introduces AI-assisted operations, enabling teams to move faster and resolve issues intelligently.

🔹 2. Unified Console Experience

No more switching between “Developer” and “Administrator” views. The new Unified Console offers a streamlined interface that simplifies workflows for hybrid teams. It’s intuitive, cohesive, and designed for collaboration — saving time for both developers and cluster admins.

🔹 3. Enhanced GitOps & CI/CD Capabilities

Red Hat has upgraded its automation and deployment ecosystem:

Pipelines 1.18 (Tekton 0.68) introduces smarter triggers and reusable pipelines.

GitOps 1.17 (Argo CD v3.0) adds advanced rollout visuals and a multi-cluster Agent architecture for large-scale environments.

These updates make continuous delivery and multi-cluster management more reliable and scalable.

🔹 4. Smarter Virtualization & Migration

OpenShift 4.19 brings multi-VM migration allowing teams to migrate several virtual machines simultaneously across different storage classes. It also expands virtualization support to Azure Red Hat OpenShift (ARO) and OpenShift Dedicated (Tech Preview).

This is a big step forward for enterprises modernizing legacy workloads.

🔹 5. Observability & Insights

OpenShift 4.19 delivers enhanced observability, especially when paired with Advanced Cluster Management (ACM). Key improvements include:

Deep network-level monitoring

Proactive issue detection via Red Hat Insights

AI-driven performance recommendations

Now, operations teams can visualize and optimize workloads more effectively than ever.

🔹 6. Foundation for Enterprise AI

OpenShift 4.19 works seamlessly with OpenShift AI 2.13, providing a full-stack MLOps platform for:

Training and serving machine learning models

Building reproducible AI pipelines

Managing end-to-end model lifecycles

Whether you’re deploying generative AI or predictive analytics, OpenShift 4.19 ensures scalability and enterprise-grade security.

⚙️ Technical Core

Kubernetes: v1.32

CRI Runtime: CRI-O 1.32

Base OS: RHCOS (aligned with RHEL 9.2)

Add-ons: OpenShift AI 2.13, GitOps 1.17, Pipelines 1.18, Serverless 1.36

Support Model: Extended Update Support (EUS) — up to 36 months

This ensures long-term stability for enterprise deployments while staying at the cutting edge of container technology.

🌎 The Bigger Picture

With 4.19, Red Hat continues its mission to unify AI, hybrid cloud, and DevOps under one platform.By combining automation, intelligence, and scalability, OpenShift empowers organizations to build, deploy, and manage intelligent applications anywhere from data centers to the edge.

🧩 Final Thoughts

Red Hat OpenShift 4.19 isn’t just another version it’s a step toward AI-native Kubernetes.It’s built for teams that want to scale faster, innovate smarter, and lead the next wave of digital transformation.

If you’re exploring enterprise-grade AI and hybrid cloud platforms, OpenShift 4.19 is worth your attention.

In today’s fast-paced tech world, staying ahead means mastering cloud computing and AI and AI268 training is designed for exactly that. This certification equips IT professionals with the knowledge and skills to design, deploy, and manage AI-enabled applications on cloud platforms.

What is AI268?

AI268 is an advanced Red Hat course designed to bridge the gap between artificial intelligence concepts and real-world cloud deployment. It focuses on AI model deployment, automation, scalability, and security in enterprise environments.

The training covers:

AI Deployment Strategies: Learn how to deploy AI workloads efficiently in production environments.

Integration with Cloud Platforms: Understand AI integration with Kubernetes, OpenShift, and hybrid cloud environments.

Automation & Scaling: Master automation techniques for AI workflows and scaling models to meet demand.

Security in AI Deployments: Gain insights into securing AI applications and data in cloud systems.

Why AI268 Training Matters

AI and cloud technologies are revolutionizing industries from healthcare to finance, manufacturing to retail. Organizations need professionals who understand both the cloud infrastructure and AI workflows. AI268 certification proves you have the expertise to:

Build and manage AI workloads on enterprise cloud environments.

Optimize AI deployment for performance, cost, and scalability.

Ensure AI models run securely and compliantly.

Who Should Take AI268?

AI268 training is ideal for:

Cloud Architects looking to integrate AI workloads.

AI Engineers who want to scale AI in production.

DevOps Professionals seeking automation skills for AI systems.

IT Professionals aiming to expand their cloud and AI expertise.

Benefits of AI268 Certification

Career Growth: Certified professionals are in high demand in cloud and AI fields.

Hands-On Skills: Training is practical, using real-world projects.

Industry Recognition: Red Hat certification is respected worldwide.

Higher Earning Potential: Certified professionals often earn significantly more than peers without certification.

How to Prepare for AI268 Certification

Enroll in AI268 Training: Choose instructor-led or self-paced formats.

Hands-On Labs: Practice deployment scenarios and real AI workloads.

Use Official Resources: Leverage Red Hat’s study guides and resources.

Join Study Groups: Collaborate with peers for deeper learning.

Final Thoughts

AI268 training and certification isn’t just about learning AI it’s about future-proofing your career. Whether you’re an engineer, architect, or DevOps specialist, AI268 equips you with the expertise to design, deploy, and scale AI systems in modern cloud environments.

Start your AI268 journey today and position yourself at the forefront of cloud and AI innovation.

When working with Red Hat Enterprise Linux 9 (RHEL 9), mastering the man command is one of the most important skills for any Linux professional. Whether you’re preparing for the RHCSA exam or managing a production environment, knowing how to read man pages will save you time and make troubleshooting much easier.

This guide walks you through everything you need to know from opening man pages to navigating them efficiently and understanding their sections.

What Are Man Pages?

Man pages short for manual pages are the built‑in documentation files for Linux commands. They explain what a command does, how to use it, what options are available, and sometimes include examples of usage.

Think of man pages as your Linux reference library, available anytime without an internet connection.

How to Open Man Pages

To view a man page, you simply run the man command followed by the name of the command you want to explore. For example, if you want to read about the ls command, you would use the man command followed by “ls.”

If you’re unsure about the exact command name, there’s a way to search the descriptions of man pages so you can find related commands quickly.

Navigating Man Pages

Once you open a man page, it opens in a viewer that allows scrolling and searching. The navigation includes moving page by page, searching for keywords, and exiting when you’re done.

Here are some navigation tips:

Use space to scroll down one page

Use the “b” key to scroll back

Press enter to move one line down

Search for specific keywords to quickly find relevant sections

Use the quit command to exit the viewer

Understanding Man Page Sections

Man pages are organized into numbered sections. Knowing these sections will help you find what you need faster.

Typical sections include:

Name – Brief description of the command

Synopsis – Command syntax

Description – Detailed explanation

Options – List of available flags or parameters

Examples – Sample usages

See Also – Related commands or documentation

By knowing what each section contains, you’ll spend less time hunting for information.

Searching Within Man Pages

Searching within man pages is essential when you don’t want to scroll endlessly. You can search for specific terms, options, or keywords directly within the man page. This makes navigation faster and more efficient, especially for complex commands.

Practical Shortcuts for Efficiency

Here are some tips to make your man page usage more productive:

View only specific sections of a man page to focus on what’s relevant.

Search all available man pages for a keyword to discover related commands.

Use shortcuts to jump to different sections quickly.

Mastering these tricks will make you more self-sufficient and confident while working in RHEL.

Why It’s Important

If you’re preparing for the RHCSA exam or working in real-world environments, the ability to read man pages effectively is essential. You don’t need to memorize every command; you just need to know how to find and interpret the information.

This skill saves time, improves efficiency, and builds your Linux expertise.

Watch the Full Video

Our detailed video tutorial goes step-by-step through using the man command in RHEL 9, showing practical examples and shortcuts you can start using immediately.

Watch the full tutorial here: https://youtu.be/-B0oDeTczTw