#pipelines on red hat openshift

[rokeshrokesh]

Cloud-Native Development in the USA: A Comprehensive Guide

Introduction 

Cloud-native development is transforming how businesses in the USA build, deploy, and scale applications. By leveraging cloud infrastructure, microservices, containers, and DevOps, organizations can enhance agility, improve scalability, and drive innovation. 

As cloud computing adoption grows, cloud-native development has become a crucial strategy for enterprises looking to optimize performance and reduce infrastructure costs. In this guide, we’ll explore the fundamentals, benefits, key technologies, best practices, top service providers, industry impact, and future trends of cloud-native development in the USA. 

What is Cloud-Native Development? 

Cloud-native development refers to designing, building, and deploying applications optimized for cloud environments. Unlike traditional monolithic applications, cloud-native solutions utilize a microservices architecture, containerization, and continuous integration/continuous deployment (CI/CD) pipelines for faster and more efficient software delivery. 

Key Benefits of Cloud-Native Development 

1. Scalability 

Cloud-native applications can dynamically scale based on demand, ensuring optimal performance without unnecessary resource consumption. 

2. Agility & Faster Deployment 

By leveraging DevOps and CI/CD pipelines, cloud-native development accelerates application releases, reducing time-to-market. 

3. Cost Efficiency 

Organizations only pay for the cloud resources they use, eliminating the need for expensive on-premise infrastructure. 

4. Resilience & High Availability 

Cloud-native applications are designed for fault tolerance, ensuring minimal downtime and automatic recovery. 

5. Improved Security 

Built-in cloud security features, automated compliance checks, and container isolation enhance application security. 

Key Technologies in Cloud-Native Development 

1. Microservices Architecture 

Microservices break applications into smaller, independent services that communicate via APIs, improving maintainability and scalability. 

2. Containers & Kubernetes 

Technologies like Docker and Kubernetes allow for efficient container orchestration, making application deployment seamless across cloud environments. 

3. Serverless Computing 

Platforms like AWS Lambda, Azure Functions, and Google Cloud Functions eliminate the need for managing infrastructure by running code in response to events. 

4. DevOps & CI/CD 

Automated build, test, and deployment processes streamline software development, ensuring rapid and reliable releases. 

5. API-First Development 

APIs enable seamless integration between services, facilitating interoperability across cloud environments. 

Best Practices for Cloud-Native Development 

1. Adopt a DevOps Culture 

Encourage collaboration between development and operations teams to ensure efficient workflows. 

2. Implement Infrastructure as Code (IaC) 

Tools like Terraform and AWS CloudFormation help automate infrastructure provisioning and management. 

3. Use Observability & Monitoring 

Employ logging, monitoring, and tracing solutions like Prometheus, Grafana, and ELK Stack to gain insights into application performance. 

4. Optimize for Security 

Embed security best practices in the development lifecycle, using tools like Snyk, Aqua Security, and Prisma Cloud. 

5. Focus on Automation 

Automate testing, deployments, and scaling to improve efficiency and reduce human error. 

Top Cloud-Native Development Service Providers in the USA 

1. AWS Cloud-Native Services 

Amazon Web Services offers a comprehensive suite of cloud-native tools, including AWS Lambda, ECS, EKS, and API Gateway. 

2. Microsoft Azure 

Azure’s cloud-native services include Azure Kubernetes Service (AKS), Azure Functions, and DevOps tools. 

3. Google Cloud Platform (GCP) 

GCP provides Kubernetes Engine (GKE), Cloud Run, and Anthos for cloud-native development. 

4. IBM Cloud & Red Hat OpenShift 

IBM Cloud and OpenShift focus on hybrid cloud-native solutions for enterprises. 

5. Accenture Cloud-First 

Accenture helps businesses adopt cloud-native strategies with AI-driven automation. 

6. ThoughtWorks 

ThoughtWorks specializes in agile cloud-native transformation and DevOps consulting. 

Industry Impact of Cloud-Native Development in the USA 

1. Financial Services 

Banks and fintech companies use cloud-native applications to enhance security, compliance, and real-time data processing. 

2. Healthcare 

Cloud-native solutions improve patient data accessibility, enable telemedicine, and support AI-driven diagnostics. 

3. E-commerce & Retail 

Retailers leverage cloud-native technologies to optimize supply chain management and enhance customer experiences. 

4. Media & Entertainment 

Streaming services utilize cloud-native development for scalable content delivery and personalization. 

Future Trends in Cloud-Native Development 

1. Multi-Cloud & Hybrid Cloud Adoption 

Businesses will increasingly adopt multi-cloud and hybrid cloud strategies for flexibility and risk mitigation. 

2. AI & Machine Learning Integration 

AI-driven automation will enhance DevOps workflows and predictive analytics in cloud-native applications. 

3. Edge Computing 

Processing data closer to the source will improve performance and reduce latency for cloud-native applications. 

4. Enhanced Security Measures 

Zero-trust security models and AI-driven threat detection will become integral to cloud-native architectures. 

Conclusion 

Cloud-native development is reshaping how businesses in the USA innovate, scale, and optimize operations. By leveraging microservices, containers, DevOps, and automation, organizations can achieve agility, cost-efficiency, and resilience. As the cloud-native ecosystem continues to evolve, staying ahead of trends and adopting best practices will be essential for businesses aiming to thrive in the digital era. 

[hawskstack]

Integrating Red Hat Quay with Red Hat OpenShift and RHACM

Secure, Manage, and Scale Container Image Delivery Across Clusters

Container images are the foundation of modern application delivery. Whether you’re deploying on a single OpenShift cluster or managing a fleet with RHACM, using a trusted container registry is essential. That’s where Red Hat Quay comes in.

By integrating Red Hat Quay with OpenShift and RHACM, you can:

Securely store and distribute container images

Maintain consistent image policies across clusters

Enable centralized image governance at scale

Let’s break down what this integration looks like and why it matters.

🔧 What is Red Hat Quay?

Red Hat Quay is an enterprise-grade container image registry that supports:

Image scanning for vulnerabilities

Image mirroring and geo-replication

Fine-grained access controls

Integration with CI/CD pipelines

Think of it as your secure image warehouse — built for production environments.

🚀 Why Integrate Quay with OpenShift?

By default, OpenShift comes with an internal image registry, but integrating Quay brings:

Externalized, scalable image storage

Global image distribution across OpenShift clusters

Enhanced security and compliance with image scanning

CI/CD pipeline integration for automated builds and deployments

You can point your OpenShift deployments, builds, and Kubernetes YAMLs to pull images directly from your Quay registry.

🌐 Why Integrate Quay with RHACM?

RHACM (Red Hat Advanced Cluster Management) lets you manage policies and applications across multiple OpenShift clusters. Integrating Quay with RHACM allows you to:

Use Quay as a centralized registry for all clusters

Mirror and distribute images to edge clusters

Apply image pull policies and enforce trust through RHACM governance

Maintain consistent deployment pipelines across hybrid environments

This ensures reliability and trust in image delivery — no matter how many clusters you manage.

🛠️ Integration Workflow Overview

Set up Red Hat Quay – Deploy Quay in a secure, scalable setup

Configure OpenShift to use Quay as an external registry

Set up RHACM image policies – Create governance rules to control image sources, pull secrets, and trusted registries

Automate deployments using RHACM ApplicationSets or GitOps, with Quay as the trusted source

🔐 Security & Governance Benefits

Quay supports image vulnerability scanning, helping you block risky images

RHACM lets you enforce policy-based governance: only approved images from Quay can be used in your clusters

Audit trails and RBAC help you track who’s pushing or pulling what, and from where

💡 Final Thoughts

Integrating Red Hat Quay with OpenShift and RHACM creates a secure, scalable, and centralized image pipeline — ideal for enterprise teams managing modern apps across hybrid cloud environments.

With this setup, you’re not just pushing containers — you’re pushing trust, consistency, and control.

For more info, Kindly visit: Hawkstack Technologies

[pythonjobsupport]

Automate & Scale Data Pipelines the Cloud Native Way | Guillaume Moutier OpenShift Commons Briefing

Automate & Scale Data Pipelines the Cloud Native Way Guillaume Moutier (Red Hat) OpenShift Commons Briefing March 12, … source

[hawkstack]

Mastering Enterprise Kubernetes: Why DO380 is a Game-Changer for OpenShift Admins

As Kubernetes becomes the enterprise standard for container orchestration, administrators are facing new challenges in scaling, managing, and automating OpenShift clusters. If you've already completed DO180 and DO280, the next step in your Red Hat OpenShift journey is DO380 — the course that equips you with advanced administration, GitOps practices, and cluster automation skills.

🔍 What is DO380?

DO380 - Red Hat OpenShift Administration III is an advanced course designed to teach you how to operate and automate large-scale OpenShift container platforms in production environments. This course builds on the skills you acquired in DO180 (Foundations of OpenShift) and DO280 (OpenShift Administration II).

💡 What You'll Learn:

✅ Cluster scaling & resilience: Manage large OpenShift clusters with High Availability and node tuning.

✅ Advanced GitOps with ArgoCD: Deploy and manage workloads using Git-based pipelines.

✅ Custom Metrics & Auto-scaling: Enable horizontal pod autoscaling based on custom metrics.

✅ Infrastructure as Code: Use Ansible Automation with Red Hat Enterprise Linux and OpenShift.

✅ Security & compliance: Apply security policies at scale using OpenShift compliance operators.

✅ Monitoring & Observability: Implement cluster monitoring with Prometheus, Grafana, and Alertmanager.

🎯 Who Should Take DO380?

🔧 DevOps Engineers & Site Reliability Engineers (SREs) looking to automate OpenShift at scale.

☁️ Cloud Platform Administrators managing hybrid or multi-cloud container platforms.

🎓 Red Hat Certified System Administrators (RHCSA) preparing for RHCA path.

📈 Career Impact:

With DO380 certification, you're not just another Kubernetes admin — you're an enterprise-grade OpenShift expert, capable of designing resilient, secure, and automated container platforms. This positions you for roles like:

🔹 OpenShift Platform Engineer

🔹 SRE (Site Reliability Engineer)

🔹 DevOps Architect

🔹 Hybrid Cloud Administrator

🎓 Certification Path:

📚 DO180 + DO280 + DO380 = OpenShift Admin Level

Once you complete DO380, you're one step away from achieving Red Hat Certified Architect (RHCA).

🔥 Final Thoughts:

In 2025 and beyond, enterprises will demand automation-first, GitOps-enabled, and security-aware administrators. DO380 prepares you to lead that transformation. Ready to level up?

🧠 Want to Learn DO380 with Hands-On Labs?

Join our expert-led batch at Hawkstack — Get instructor-led training, lab access, real-world projects, and certification guidance.

📅 New batch starts 19th July 📍 100% Practical | Live Sessions | RHCA Roadmap For more details www.hawkstack.com 

[timothyvalihora]

Governance Without Boundaries - CP4D and Red Hat Integration

The rising complexity of hybrid and multi-cloud environments calls for stronger and more unified data governance. When systems operate in isolation, they introduce risks, make compliance harder, and slow down decision-making. As digital ecosystems expand, consistent governance across infrastructure becomes more than a goal, it becomes a necessity. A cohesive strategy helps maintain control as platforms and regions scale together.

IBM Cloud Pak for Data (CP4D), working alongside Red Hat OpenShift, offers a container-based platform that addresses these challenges head-on. That setup makes it easier to scale governance consistently, no matter the environment. With container orchestration in place, governance rules stay enforced regardless of where the data lives. This alignment helps prevent policy drift and supports data integrity in high-compliance sectors.

Watson Knowledge Catalog (WKC) sits at the heart of CP4D’s governance tools, offering features for data discovery, classification, and controlled access. WKC lets teams organize assets, apply consistent metadata, and manage permissions across hybrid or multi-cloud systems. Centralized oversight reduces complexity and brings transparency to how data is used. It also facilitates collaboration by giving teams a shared framework for managing data responsibilities.

Red Hat OpenShift brings added flexibility by letting services like data lineage, cataloging, and enforcement run in modular, scalable containers. These components adjust to different workloads and grow as demand increases. That level of adaptability is key for teams managing dynamic operations across multiple functions. This flexibility ensures governance processes can evolve alongside changing application architectures.

Kubernetes, which powers OpenShift’s orchestration, takes on governance operations through automated workload scheduling and smart resource use. Its automation ensures steady performance while still meeting privacy and audit standards. By handling deployment and scaling behind the scenes, it reduces the burden on IT teams. With fewer manual tasks, organizations can focus more on long-term strategy.

A global business responding to data subject access requests (DSARs) across different jurisdictions can use CP4D to streamline the entire process. These built-in tools support compliant responses under GDPR, CCPA, and other regulatory frameworks. Faster identification and retrieval of relevant data helps reduce penalties while improving public trust.

CP4D’s tools for discovering and classifying data work across formats, from real-time streams to long-term storage. They help organizations identify sensitive content, apply safeguards, and stay aligned with privacy rules. Automation cuts down on human error and reinforces sound data handling practices. As data volumes grow, these automated capabilities help maintain performance and consistency.

Lineage tracking offers a clear view of how data moves through DevOps workflows and analytics pipelines. By following its origin, transformation, and application, teams can trace issues, confirm quality, and document compliance. CP4D’s built-in tools make it easier to maintain trust in how data is handled across environments.

Tight integration with enterprise identity and access management (IAM) systems strengthens governance through precise controls. It ensures only the right people have access to sensitive data, aligning with internal security frameworks. Centralized identity systems also simplify onboarding, access changes, and audit trails.

When governance tools are built into the data lifecycle from the beginning, compliance becomes part of the system. It is not something added later. This helps avoid retroactive fixes and supports responsible practices from day one. Governance shifts from a task to a foundation of how data is managed.

As regulations multiply and workloads shift, scalable governance is no longer a luxury. It is a requirement. Open, container-driven architectures give organizations the flexibility to meet evolving standards, secure their data, and adapt quickly.

[cybersecurityict]

Cloud Native Applications Market Set for Massive Expansion Through 2032

Cloud Native Applications Market was valued at USD 6.49 billion in 2023 and is expected to reach USD 45.71 billion by 2032, growing at a CAGR of 24.29% from 2024-2032. 

Cloud Native Applications Market is witnessing rapid growth as enterprises accelerate digital transformation through agile, scalable, and containerized solutions. From startups to global corporations, organizations are shifting to cloud-native architectures to drive innovation, optimize performance, and reduce operational complexity. This shift is powered by the adoption of Kubernetes, microservices, DevOps, and continuous delivery frameworks.

U.S. Demand Soars Amid Widespread Digital Modernization Across Sectors

Cloud Native Applications Market is becoming a strategic focus for companies aiming to modernize legacy infrastructure and future-proof their technology stacks. The growing demand for flexibility, faster release cycles, and cost efficiency is pushing developers and IT leaders toward cloud-native ecosystems across various industries.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/6545 

Market Keyplayers:

Google LLC (Google Kubernetes Engine, Firebase)

International Business Machines Corporation (IBM Cloud, IBM Cloud Pak)

Infosys Technologies Private Limited (Infosys Cobalt, Cloud Ecosystem)

Larsen & Toubro Infotech (LTI Cloud, LTI Digital Transformation)

Microsoft Corporation (Azure Kubernetes Service, Azure Functions)

Oracle Corporation (Oracle Cloud Infrastructure, Oracle Autonomous Database)

Red Hat (OpenShift, Ansible Automation Platform)

SAP SE (SAP Business Technology Platform, SAP S/4HANA Cloud)

VMware, Inc. (VMware Tanzu, VMware Cloud on AWS)

Alibaba Cloud (Alibaba Cloud Container Service, Alibaba Cloud Elastic Compute Service)

Apexon (Cloud-Native Solutions, Cloud Application Modernization)

Bacancy Technology (Cloud Development, Cloud-Native Microservices)

Citrix Systems, Inc. (Citrix Workspace, Citrix Cloud)

Harness (Harness Continuous Delivery, Harness Feature Flags)

Cognizant Technology Solutions Corp (Cognizant Cloud, Cognizant Cloud-Native Solutions)

Ekco (Cloud Infrastructure Services, Cloud Application Development)

Huawei Technologies Co. Ltd. (Huawei Cloud, Huawei Cloud Container Engine)

R Systems (R Systems Cloud Platform, R Systems DevOps Solutions)

Scality (Scality RING, Scality Cloud Storage)

Sciencesoft (Cloud-Native Development, Cloud Integration Solutions)

Market Analysis

The Cloud Native Applications Market is being fueled by increasing enterprise need for agility, resilience, and faster deployment cycles. Organizations are adopting cloud-native strategies not just for scalability, but to gain a competitive edge in rapidly evolving digital environments. Cloud-native technologies also help reduce downtime, improve user experiences, and enable continuous innovation.

In the U.S., early cloud adoption and strong developer ecosystems have made it a leading market. Europe follows with strong enterprise demand and compliance-driven cloud modernization initiatives, creating a favorable environment for hybrid and multi-cloud solutions.

Market Trends

Widespread adoption of Kubernetes and serverless architectures

Rise of microservices and containerization for modular development

DevSecOps integration to enhance cloud-native security posture

Increased reliance on CI/CD pipelines to support faster releases

Growth in open-source tools supporting cloud-native ecosystems

Surge in platform engineering and internal developer platforms

Expansion of multi-cloud and hybrid deployment strategies

Market Scope

As organizations demand more resilient, agile, and responsive software environments, the scope of the Cloud Native Applications Market is expanding across industries.

Rapid development and deployment of business-critical applications

Cloud-native adoption across BFSI, healthcare, e-commerce, and manufacturing

Enhanced developer productivity through platform-as-a-service (PaaS) models

Shift toward edge-native and event-driven architectures

Demand for scalable solutions to support AI/ML and big data workloads

Increased use of APIs for service integration and flexibility

These applications are reshaping enterprise IT strategies, driving alignment between development, operations, and business outcomes.

Forecast Outlook

The future of the Cloud Native Applications Market is marked by continuous innovation, fueled by automation, observability, and AI integration. As businesses shift toward platform-centric models and global cloud infrastructure matures, cloud-native frameworks will be at the core of software delivery. The market’s trajectory is strengthened by growing investments in cloud-native platforms by hyperscalers and startups alike, ensuring long-term scalability and business agility.

Access Complete Report: https://www.snsinsider.com/reports/cloud-native-applications-market-6545 

Conclusion

Cloud-native isn’t just a technology trend—it’s the foundation of the next-generation enterprise. As companies across the U.S. and Europe seek agility, resilience, and innovation, cloud-native applications offer the strategic advantage needed to outpace disruption. The businesses that embrace this transformation today are setting the standard for tomorrow’s digital success.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Related Reports:

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[krnetwork]

EX280: Red Hat OpenShift Administration

Red Hat OpenShift Administration is a vital skill for IT professionals interested in managing containerized applications, simplifying Kubernetes, and leveraging enterprise cloud solutions. If you’re looking to excel in OpenShift technology, this guide covers everything from its core concepts and prerequisites to advanced certification and career benefits.

1. What is Red Hat OpenShift?

Red Hat OpenShift is a robust, enterprise-grade Kubernetes platform designed to help developers build, deploy, and scale applications across hybrid and multi-cloud environments. It offers a simplified, consistent approach to managing Kubernetes, with added security, automation, and developer tools, making it ideal for enterprise use.

Key Components of OpenShift:

OpenShift Platform: The foundation for scalable applications with simplified Kubernetes integration.

OpenShift Containers: Allows seamless container orchestration for optimized application deployment.

OpenShift Cluster: Manages workload distribution, ensuring application availability across multiple nodes.

OpenShift Networking: Provides efficient network configuration, allowing applications to communicate securely.

OpenShift Security: Integrates built-in security features to manage access, policies, and compliance seamlessly.

2. Why Choose Red Hat OpenShift?

OpenShift provides unparalleled advantages for organizations seeking a Kubernetes-based platform tailored to complex, cloud-native environments. Here’s why OpenShift stands out among container orchestration solutions:

Enterprise-Grade Security: OpenShift Security layers, such as role-based access control (RBAC) and automated security policies, secure every component of the OpenShift environment.

Enhanced Automation: OpenShift Automation enables efficient deployment, management, and scaling, allowing businesses to speed up their continuous integration and continuous delivery (CI/CD) pipelines.

Streamlined Deployment: OpenShift Deployment features enable quick, efficient, and predictable deployments that are ideal for enterprise environments.

Scalability & Flexibility: With OpenShift Scaling, administrators can adjust resources dynamically based on application requirements, maintaining optimal performance even under fluctuating loads.

Simplified Kubernetes with OpenShift: OpenShift builds upon Kubernetes, simplifying its management while adding comprehensive enterprise features for operational efficiency.

3. Who Should Pursue Red Hat OpenShift Administration?

A career in Red Hat OpenShift Administration is suitable for professionals in several IT roles. Here’s who can benefit:

System Administrators: Those managing infrastructure and seeking to expand their expertise in container orchestration and multi-cloud deployments.

DevOps Engineers: OpenShift’s integrated tools support automated workflows, CI/CD pipelines, and application scaling for DevOps operations.

Cloud Architects: OpenShift’s robust capabilities make it ideal for architects designing scalable, secure, and portable applications across cloud environments.

Software Engineers: Developers who want to build and manage containerized applications using tools optimized for development workflows.

4. Who May Not Benefit from OpenShift?

While OpenShift provides valuable enterprise features, it may not be necessary for everyone:

Small Businesses or Startups: OpenShift may be more advanced than required for smaller, less complex projects or organizations with a limited budget.

Beginner IT Professionals: For those new to IT or with minimal cloud experience, starting with foundational cloud or Linux skills may be a better path before moving to OpenShift.

5. Prerequisites for Success in OpenShift Administration

Before diving into Red Hat OpenShift Administration, ensure you have the following foundational knowledge:

Linux Proficiency: Linux forms the backbone of OpenShift, so understanding Linux commands and administration is essential.

Basic Kubernetes Knowledge: Familiarity with Kubernetes concepts helps as OpenShift is built on Kubernetes.

Networking Fundamentals: OpenShift Networking leverages container networks, so knowledge of basic networking is important.

Hands-On OpenShift Training: Comprehensive OpenShift training, such as the OpenShift Administration Training and Red Hat OpenShift Training, is crucial for hands-on learning.

Read About Ethical Hacking

6. Key Benefits of OpenShift Certification

The Red Hat OpenShift Certification validates skills in container and application management using OpenShift, enhancing career growth prospects significantly. Here are some advantages:

EX280 Certification: This prestigious certification verifies your expertise in OpenShift cluster management, automation, and security.

Job-Ready Skills: You’ll develop advanced skills in OpenShift deployment, storage, scaling, and troubleshooting, making you an asset to any IT team.

Career Mobility: Certified professionals are sought after for roles in OpenShift Administration, cloud architecture, DevOps, and systems engineering.

7. Important Features of OpenShift for Administrators

As an OpenShift administrator, mastering certain key features will enhance your ability to manage applications effectively and securely:

OpenShift Operator Framework: This framework simplifies application lifecycle management by allowing users to automate deployment and scaling.

OpenShift Storage: Offers reliable, persistent storage solutions critical for stateful applications and complex deployments.

OpenShift Automation: Automates manual tasks, making CI/CD pipelines and application scaling efficiently.

OpenShift Scaling: Allows administrators to manage resources dynamically, ensuring applications perform optimally under various load conditions.

Monitoring & Logging: Comprehensive tools that allow administrators to keep an eye on applications and container environments, ensuring system health and reliability.

8. Steps to Begin Your OpenShift Training and Certification

For those seeking to gain Red Hat OpenShift Certification and advance their expertise in OpenShift administration, here’s how to get started:

Enroll in OpenShift Administration Training: Structured OpenShift training programs provide foundational and advanced knowledge, essential for handling OpenShift environments.

Practice in Realistic Environments: Hands-on practice through lab simulators or practice clusters ensures real-world application of skills.

Prepare for the EX280 Exam: Comprehensive EX280 Exam Preparation through guided practice will help you acquire the knowledge and confidence to succeed.

9. What to Do After OpenShift DO280?

After completing the DO280 (Red Hat OpenShift Administration) certification, you can further enhance your expertise with advanced Red Hat training programs:

a) Red Hat OpenShift Virtualization Training (DO316)

Learn how to integrate and manage virtual machines (VMs) alongside containers in OpenShift.

Gain expertise in deploying, managing, and troubleshooting virtualized workloads in a Kubernetes-native environment.

b) Red Hat OpenShift AI Training (AI267)

Master the deployment and management of AI/ML workloads on OpenShift.

Learn how to use OpenShift Data Science and MLOps tools for scalable machine learning pipelines.

c) Red Hat Satellite Training (RH403)

Expand your skills in managing OpenShift and other Red Hat infrastructure on a scale.

Learn how to automate patch management, provisioning, and configuration using Red Hat Satellite.

These advanced courses will make you a well-rounded OpenShift expert, capable of handling complex enterprise deployments in virtualization, AI/ML, and infrastructure automation.

Conclusion: Is Red Hat OpenShift the Right Path for You?

Red Hat OpenShift Administration is a valuable career path for IT professionals dedicated to mastering enterprise Kubernetes and containerized application management. With skills in OpenShift Cluster management, OpenShift Automation, and secure OpenShift Networking, you will become an indispensable asset in modern, cloud-centric organizations.

KR Network Cloud is a trusted provider of comprehensive OpenShift training, preparing you with the skills required to achieve success in EX280 Certification and beyond.

Why Join KR Network Cloud?

 With expert-led training, practical labs, and career-focused guidance, KR Network Cloud empowers you to excel in Red Hat OpenShift Administration and achieve your professional goals.

https://creativeceo.mn.co/posts/the-ultimate-guide-to-red-hat-openshift-administration

https://bogonetwork.mn.co/posts/the-ultimate-guide-to-red-hat-openshift-administration

[ecommerceupdate]

A Red Hat acaba de lançar novas atualizações no Red Hat AI, seu portfólio de produtos e serviços projetados para acelerar o desenvolvimento e a implantação de soluções de IA na nuvem híbrida. O Red Hat AI oferece uma plataforma de IA empresarial para treinamento de modelos e inferência, proporcionando mais experiência, flexibilidade e uma experiência simplificada para implantar sistemas em qualquer lugar na nuvem híbrida. Na busca por reduzir os custos de implementação de grandes modelos de linguagem (LLMS) para atender a um número crescente de casos de uso, empresas ainda enfrentam o desafio de integrar esses sistemas com seus dados proprietários e acessá-los de qualquer lugar: seja em um datacenter, na nuvem pública ou até mesmo na edge. Integrando tanto o Red Hat OpenShift AI como o Red Hat Enterprise Linux AI (RHEL AI), o Red Hat AI responde a essas preocupações ao fornecer uma plataforma de IA empresarial que permite adotar modelos mais eficientes e otimizados, ajustados com os dados específicos do negócio, com possibilidade de serem implantados na nuvem híbrida para treinar modelos em uma ampla gama de arquiteturas de computação. Para Joe Fernandes, vice-presidente e gerente geral de Unidade de Negócios de IA de Red Hat, a atualização possibilita que organizações serem precisas e econômicas em suas jornadas de IA. "A Red Hat sabe que as empresas vão precisar de maneiras para gerenciar o custo crescente de suas implantações de IA generativa, à medida que trazem mais casos de uso para produção e operam em escala.. O Red Hat AI auxilia as organizações a endereçarem esses desafios, permitindo que elas disponham de modelos mais eficientes, desenvolvidos para um propósito, treinados com seus dados e que possibilitam inferência flexível em ambientes on-premises, de nuvem e na edge." Red Hat OpenShift AI O Red Hat OpenShift AI oferece uma plataforma completa de IA para gerenciar os ciclos de vida de IA preditiva e generativa (gen AI) na nuvem híbrida, incluindo operações de aprendizado de máquina (MLOps) e capacidades de Large Language Model Operations (LLMOps). A plataforma fornece funcionalidades para construir modelos preditivos e ajustar modelos gen AI, juntamente com ferramentas para simplificar o gerenciamento de modelos de IA, desde pipelines de ciência de dados e modelos até o monitoramento de modelos, governança e muito mais.   Versão mais recente da plataforma, o Red Hat OpenShift AI 2.18, adiciona novas atualizações e capacidades para apoiar o objetivo do Red Hat AI de trazer modelos de IA mais otimizados e eficientes para a nuvem híbrida. Os principais recursos incluem: ●      Serviço distribuído: disponível por meio do servidor de inferência vLLM, o serviço distribuído permite que as equipes de TI dividam o serviço de modelos entre várias unidades de processamento gráfico (GPUs). Isso ajuda a aliviar a carga em um único servidor, acelera o treinamento e o ajuste-fino e promove o uso mais eficiente dos recursos de computação, ao mesmo tempo em que ajuda a distribuir os serviços entre os nós para os modelos de IA. ●      Experiência de ajuste de modelo de ponta a ponta: usando o InstructLab e os pipelines de ciência de dados do Red Hat OpenShift AI, esse novo recurso ajuda a simplificar o ajuste fino dos LLMs, tornando-os mais escaláveis, eficientes e auditáveis em grandes ambientes de produção, ao mesmo tempo em que entrega gerenciamento por meio do painel de controle do Red Hat OpenShift AI. ●      AI Guardrails: o Red Hat OpenShift AI 2.18 ajuda a melhorar a precisão, o desempenho, a latência e a transparência dos LLMs por meio de uma pré-visualização da tecnologia AI Guardrails, que monitora e protege as interações de entrada do usuário e as saídas do modelo. O AI Guardrails oferece recursos adicionais de detecção para auxiliar as equipes de TI a identificar e mitigar discursos potencialmente odiosos, abusivos ou profanos, informações pessoais identificáveis, dados de competidores ou outros restritos por políticas corporativas. ●      Avaliação de modelo: usando o componente de avaliação de modelo de linguagem (lm-eval) para fornecer informações importantes sobre a qualidade geral do modelo, a avaliação de modelo permite que os cientistas de dados comparem o desempenho dos seus LLMs em várias tarefas, desde raciocínio lógico e matemático até a linguagem natural adversarial, ajudando a criar modelos de IA mais eficazes, responsivos e adaptados. RHEL AI Parte do portfólio Red Hat AI, o RHEL AI é uma plataforma de modelos fundamentais para desenvolver, testar e executar LLMs de forma mais consistente, com o objetivo de impulsionar aplicativos empresariais. O RHEL AI oferece modelos Granite LLMs e ferramentas de alinhamento de modelos InstructLab, que são pacotes em uma imagem inicializável do Red Hat Enterprise Linux e podem ser implantados na nuvem híbrida. Lançado em fevereiro de 2025, o RHEL 1.4 trouxe diversas melhorias, incluindo: ●      Suporte ao modelo Granite 3.1 8B como a mais recente adição à família de modelos Granite com licença open source. O modelo adiciona suporte multilíngue para inferência e personalização de taxonomia/conhecimento (pré-visualização para desenvolvedores), além de uma janela de contexto de 128k para melhorar a adoção de resultados de sumarização e tarefas de Retrieval-Augmented Generation (RAG) ●      Nova interface gráfica do usuário para contribuir com habilidades e conhecimentos prévios, disponível no formato de pré-visualização para desenvolvedores, com o objetivo de simplificar o consumo e a fragmentação de dados, bem como permitir que usuários adicionem suas próprias habilidades e contribuições a modelos de IA. ●      Document Knowledge-bench (DK-bench) para facilitar comparações entre modelos de IA ajustados com dados privados relevantes com o desempenho dos mesmos modelos base não ajustados. Red Hat AI InstructLab no IBM Cloud Cada vez mais, as empresas estão em busca de soluções de IA que priorizem a precisão e a segurança de seus dados, ao mesmo tempo em que mantêm os custos e a complexidade os mais baixos possíveis. O Red Hat AI InstructLab, disponível como um serviço no IBM Cloud, foi projetado para simplificar, escalar e ajudar a melhorar a segurança no treinamento e na implantação de sistemas de IA. Ao simplificar o ajuste de modelos do InstructLab, organizações podem construir plataformas mais eficientes, adaptadas às suas necessidades únicas, mantendo o controle de suas informações sigilosas.  Treinamento gratuito sobre os Fundamentos da IA A IA é uma oportunidade transformadora que está redefinindo como as empresas operam e competem. Para apoiar organizações nesse cenário dinâmico, a Red Hat oferece treinamentos online gratuitos sobre Fundamentos de IA. A empresa está oferecendo dois certificados de aprendizado em IA, voltados tanto para líderes seniores experientes quanto para iniciantes, ajudando a educar usuários de todos os níveis sobre como a IA pode ajudar a transformar operações comerciais, agilizar a tomada de decisões e impulsionar a inovação. Disponibilidade O Red Hat OpenShift AI 2.18 e o Red Hat Enterprise Linux AI 1.4 já estão disponíveis. Mais informações sobre recursos adicionais, melhorias, correções de bugs e de como atualizar a sua versão do Red Hat OpenShift AI para a mais recente podem ser encontradas aqui, e a versão mais recente do RHEL AI pode ser encontrada aqui. O Red Hat AI InstructLab no IBM Cloud estará disponível em breve. O treinamento sobre os Fundamentos de IA da Red Hat já está disponível para clientes. Read the full article

[infernovm]

Red Hat’s AI portfolio evolves to address enterprise deployment challenges

Red Hat announced updates to Red Hat OpenShift AI and Red Hat Enterprise Linux AI (RHEL AI), with a goal of addressing the high costs and technical complexity of scaling AI beyond pilot projects into full deployment. New capabilities include the ability to split AI inference across multiple GPUs and nodes, integration of InstructLab into OpenShift AI pipelines, and a new AI guardrails…

[hawskstack]

🚀 Deploy Applications from External Registries on ROSA (Without Coding)

If you’re using Red Hat OpenShift Service on AWS (ROSA) and your application images are stored in a private container registry like Docker Hub, Quay.io, or your own internal registry, you can still easily deploy them — no coding required.

Let’s walk through how to get that done using just the OpenShift Web Console.

🧠 What’s the Use Case?

Sometimes, your container images aren’t stored in Red Hat’s default registry. Instead, they might be:

On Docker Hub (private repo)

In Quay.io

On JFrog Artifactory or GitHub Container Registry

You still want to use them in your ROSA cluster — and OpenShift makes that possible with just a few clicks.

✅ Step-by-Step: No Code Needed

1. Login to OpenShift Console

Open the OpenShift Web Console for your ROSA cluster.

Make sure you have access to the correct project (namespace) where you want to deploy your app.

2. Add Your Private Registry Credentials

Go to Workloads > Secrets

Click Create > Image Pull Secret

Choose Docker Registry as the secret type

Fill in:

Your private registry’s URL

Your username

Your password or token

Email (optional)

This secret tells OpenShift how to access your private image.

3. Link the Secret to Your Project

Go to Workloads > Secrets

Find your newly created secret

Click on the three dots (⋮) → Link secret to a service account

Choose the default service account

Select “for image pulls”

This step ensures OpenShift uses your secret automatically when pulling your app image.

4. Deploy the Application

Go to +Add in the left-hand menu

Select “Container Image”

Enter the full image path (e.g., registry.example.com/myorg/myapp:latest)

OpenShift will now use your image pull secret to fetch it

Set application name, resource type (like Deployment), and target port

Click Create

5. Expose the App

Once deployed, go to Networking > Routes

Click Create Route

Select the service you just deployed

This gives you a public URL to access the app

👩‍💻 Pro Tips

If your image fails to pull, double-check the image URL and secret details

Make sure the registry is reachable from your ROSA cluster

Rotate credentials securely when needed

🌐 Final Thoughts

Using external private registries with ROSA isn’t just possible — it’s seamless. With a few simple steps in the console, you can:

Securely connect to your private image source

Deploy apps without writing a line of code

Keep full control of your image pipeline

Perfect for teams managing applications across hybrid or multi-cloud environments.

For more info, Kindly follow: Hawkstack Technologies

[vijay132]

How Technology is Transforming the Global DevOps Market in 2028

Technology has been the driving force behind the transformation of the global DevOps market, which reached a valuation of $10 billion in 2023. The integration of cloud computing, artificial intelligence (AI), and automation tools is revolutionizing software development and IT operations, enabling organizations to enhance efficiency, reduce time-to-market, and improve scalability. This blog explores the technological advancements reshaping the DevOps industry, case studies of successful implementations, challenges in technology adoption, and the future outlook for the market.

Download the Sample Report@ Global DevOps Market

Technological Advancements

1. Cloud Computing in DevOps

Application and Benefits: Cloud computing has become the backbone of modern DevOps practices, offering scalability, flexibility, and cost-efficiency. Cloud-based DevOps tools simplify collaboration among distributed teams and streamline deployment processes.

Impact: In 2023, the cloud segment dominated the DevOps market due to its ability to support hybrid IT environments, enabling seamless integration across on-premise and cloud infrastructures.

Example: Microsoft Azure DevOps provides cloud-based solutions that integrate CI/CD pipelines, enabling faster development cycles for businesses of all sizes.

2. Artificial Intelligence (AI) and Machine Learning in DevOps

Application and Benefits: AI and machine learning are enhancing automation within DevOps pipelines by enabling predictive analytics, anomaly detection, and intelligent decision-making.

Impact: AI integration allows teams to optimize resource allocation, detect potential failures, and resolve issues proactively, reducing downtime and improving reliability.

Example: IBM Corporation expanded its AI-driven automation capabilities in 2023, offering solutions that deliver real-time insights into DevOps workflows.

3. DevSecOps for Enhanced Security

Application and Benefits: DevSecOps integrates security practices into every stage of the software development lifecycle, ensuring compliance and reducing vulnerabilities.

Impact: In 2024, organizations increasingly adopted DevSecOps to address rising cyber threats, particularly in regulated industries like finance and healthcare.

Example: Google Cloud’s Assured Workloads for DevOps ensures adherence to compliance standards, offering secure DevOps pipelines for regulated sectors.

4. Microservices Architecture and Containerization

Application and Benefits: Microservices architecture, combined with containerization tools like Docker and Kubernetes, allows developers to create modular, scalable applications.

Impact: These technologies simplify the deployment and management of complex applications, enabling faster updates and enhanced scalability.

Example: Red Hat OpenShift’s enhanced support for containerized microservices in 2024 has streamlined operations for businesses adopting this architecture.

Case Studies

1. IBM Corporation: AI-Driven Automation

In 2023, IBM expanded its DevOps portfolio with AI-driven automation tools designed for hybrid cloud environments. These tools enabled enterprises to automate repetitive tasks, reduce operational bottlenecks, and enhance the efficiency of software deployment processes.

Results:

Reduced application downtime by 30%.

Improved time-to-market for new applications by 40%.

2. Google Cloud: Assured Workloads for DevOps

Google launched Assured Workloads for DevOps in 2024, targeting regulated industries like healthcare and finance. This solution allowed organizations to implement DevOps pipelines that adhered to strict compliance standards, ensuring data security and regulatory compliance.

Results:

Enhanced adoption of DevOps practices in compliance-heavy sectors.

Reduced security vulnerabilities in application deployment pipelines.

Challenges of Tech Integration

1. Security and Compliance Concerns

Challenge: The rise in cyberattacks has amplified concerns over the security of DevOps processes, especially in cloud environments. Ensuring compliance with regulatory standards is another significant challenge.

Recommendation: Adopt DevSecOps practices, implement robust encryption protocols, and provide training to DevOps teams on security best practices.

2. Skill Shortages

Challenge: The global shortage of skilled DevOps professionals, particularly in emerging markets, is slowing the adoption of advanced technologies.

Recommendation: Invest in upskilling programs, partner with educational institutions, and leverage automation to reduce dependency on human expertise.

3. High Costs of Technology Implementation

Challenge: Implementing cutting-edge DevOps technologies like AI and containerization requires significant upfront investment, which may deter small and medium enterprises (SMEs).

Recommendation: Opt for scalable, cloud-based DevOps solutions that align with budget constraints and provide long-term ROI.

Future Outlook

Integration with Edge Computing: By 2028, the integration of DevOps with edge computing environments will redefine how decentralized and distributed computing resources are managed. This trend, fueled by the deployment of 5G networks, will accelerate real-time application development in sectors like autonomous vehicles and smart cities.

Widespread Adoption of DevSecOps: The global emphasis on cybersecurity will drive the widespread adoption of DevSecOps as a standard practice. By 2028, the market for DevSecOps tools is expected to reach $20 billion, with significant adoption in finance, healthcare, and government sectors.

AI-Powered DevOps: AI and machine learning will continue to transform DevOps processes, enabling organizations to predict system failures, optimize workflows, and improve decision-making. This will further reduce operational costs and enhance application reliability.

Conclusion Technology is at the heart of the transformation in the global DevOps market. From cloud computing and AI integration to the adoption of DevSecOps and containerization, these advancements are reshaping software development and IT operations. While challenges like skill shortages and security concerns persist, organizations that embrace innovation and invest in scalable, secure solutions will be well-positioned to thrive in this dynamic market.

[hawkstack]

🚀 DO288 – Master OpenShift Application Development

If you're aiming to become a Red Hat Certified Specialist in OpenShift Application Development, DO288 is the course that gets you there. It's not just about learning OpenShift — it's about learning how to build, deploy, and manage containerized applications the Red Hat way.

🧠 What is DO288?

DO288: Red Hat OpenShift Development II: Containerizing Applications is designed for developers who want to:

Move from traditional application deployment to Kubernetes-native development.

Learn how to use OpenShift for CI/CD, scaling, and secure application rollout.

Build container images, define app builds using S2I (Source-to-Image), and use OpenShift Templates and Helm Charts.

🔧 What You’ll Learn

Here’s a quick snapshot of what DO288 teaches:

🔹 Creating containerized services using Podman and Buildah

🔹 Configuring OpenShift builds using Source-to-Image (S2I)

🔹 Deploying apps using Templates and Helm Charts

🔹 Managing app environments, secrets, and configuration maps

🔹 CI/CD integration using OpenShift Pipelines (Tekton)

🔹 Securing applications using Service Accounts and Role-Based Access Control (RBAC)

🧰 Prerequisites

To make the most out of DO288, you should already know the basics of containers and OpenShift. Ideally, you’ve completed DO180 (Red Hat OpenShift I: Containers & Kubernetes).

If you're not there yet — start with DO180 and then move on to DO288. That combo gives you the foundation to become a Red Hat Certified Developer: OpenShift Application Development.

🎯 Who Should Take This?

Developers transitioning to container-native workflows

DevOps engineers working in OpenShift/Kubernetes environments

Application teams using CI/CD for microservices

Anyone preparing for the Red Hat certification exam EX288

🏆 Certification Outcome

Once you finish DO288, you’ll be ready to attempt the EX288 certification exam. Passing this exam makes you a Red Hat Certified Specialist in OpenShift Application Development.

That’s a powerful credential for anyone working in enterprise DevOps, cloud-native development, or platform engineering roles.

✍️ Final Thoughts

OpenShift isn’t just another Kubernetes platform — it’s the enterprise-ready standard trusted by governments, banks, telcos, and global enterprises. Learning to build on OpenShift sets you apart.

So if you’re serious about containerized app development, DO288 is the course to take. refer www.hawkstack.com 

[qcsdclabs]

Red Hat OpenShift vs. Red Hat Ansible: Which Course Is Best for You?

In the world of enterprise IT solutions, two of Red Hat’s most popular offerings are OpenShift and Ansible. Both tools serve unique purposes in the automation and orchestration space, with Red Hat OpenShift focusing on container orchestration and application management, and Red Hat Ansible automating IT tasks such as configuration management and software deployment.

When deciding between a Red Hat OpenShift or Red Hat Ansible course, it's essential to understand the differences in their functionalities, use cases, and the skills they offer. This blog will guide you through the key features of both tools and help you choose the best course based on your career goals and organizational needs.

What is Red Hat OpenShift?

Red Hat OpenShift is a Kubernetes-based platform designed to manage and deploy containerized applications in a cloud-native environment. It provides an integrated environment for developers and operators to build, deploy, and scale applications efficiently. OpenShift offers powerful features like automated installation, scaling, monitoring, and troubleshooting, which make it a preferred choice for enterprises looking to modernize their IT infrastructure.

Key Benefits of Red Hat OpenShift:

Container Orchestration: OpenShift builds on Kubernetes to manage containerized applications, ensuring automatic deployment, scaling, and operations.

DevOps Integration: OpenShift supports DevOps pipelines, making it easier to manage the entire application lifecycle from development to production.

Hybrid and Multi-Cloud Support: OpenShift allows businesses to run applications seamlessly across hybrid and multi-cloud environments.

Developer-Focused: With built-in CI/CD pipelines and automated workflows, OpenShift is well-suited for developers focusing on cloud-native app development.

What is Red Hat Ansible?

Red Hat Ansible is an open-source automation platform designed to automate IT processes, including configuration management, application deployment, and orchestration. It simplifies the management of complex IT environments, allowing systems administrators to focus on high-level tasks while automating repetitive processes.

Key Benefits of Red Hat Ansible:

Simple Automation: Ansible uses simple, human-readable YAML files (called playbooks) to define automation tasks, making it accessible for both developers and system administrators.

Configuration Management: With Ansible, you can ensure that your infrastructure is configured correctly and consistently across all systems.

Scalability: Ansible can automate processes on a large scale, enabling you to manage thousands of systems with minimal effort.

Agentless Architecture: Ansible operates over SSH and does not require an agent to be installed on the managed systems, reducing overhead.

Comparing Red Hat OpenShift and Red Hat Ansible

While both tools are designed to improve efficiency and reduce manual work, they are used for different purposes. Here’s a breakdown of their core differences:

1. Purpose and Use Cases

OpenShift is primarily for developers and DevOps teams focusing on the management and deployment of containerized applications. If you’re working on a cloud-native application, OpenShift is an ideal tool to help manage Kubernetes clusters and orchestrate containers.

Ansible is more focused on automation tasks. It’s used by IT administrators and DevOps engineers to automate processes across infrastructure. It can handle a wide range of tasks, from configuring servers and deploying applications to managing networks and security.

2. Learning Curve

OpenShift involves understanding Kubernetes and containerization concepts, which may require a deeper technical understanding of cloud-native applications and orchestration.

Ansible, on the other hand, is simpler to learn, especially for those already familiar with scripting and system administration tasks. It uses YAML, which is straightforward and easy to read.

3. Integration

OpenShift integrates well with cloud-native applications, CI/CD pipelines, and container technologies like Docker and Kubernetes. It helps developers and operations teams collaborate to deploy and scale applications efficiently.

Ansible integrates seamlessly with a wide variety of IT infrastructure, including servers, network devices, and cloud environments, and can be used with other tools to automate configurations, deployments, and updates.

4. Skillset Focus

OpenShift requires a solid understanding of containerization, microservices, and cloud architectures. If you’re pursuing a career as a Kubernetes administrator, cloud architect, or DevOps engineer, learning OpenShift will be beneficial.

Ansible is a great tool for automation, configuration management, and orchestration. If you are aiming for roles like systems administrator, network engineer, or automation engineer, Ansible will help you optimize and automate your infrastructure.

Which Course Should You Take?

Choosing the right course depends on your career path and goals. Let’s break it down:

1. Take a Red Hat OpenShift Course If:

You want to specialize in container orchestration and management.

Your goal is to work with Kubernetes and cloud-native technologies.

You’re aiming for roles such as Cloud Architect, Kubernetes Administrator, or DevOps Engineer.

You’re working with teams that focus on the development and deployment of microservices-based applications.

2. Take a Red Hat Ansible Course If:

You’re focused on automation, configuration management, and infrastructure optimization.

You want to automate the provisioning and deployment of applications across multiple environments.

You aim for roles such as Systems Administrator, Automation Engineer, or Infrastructure Engineer.

You want a tool that can automate not only applications but also network configurations, cloud provisioning, and security tasks.

Conclusion

Both Red Hat OpenShift and Red Hat Ansible are valuable tools that address different aspects of modern IT infrastructure. OpenShift excels in managing and orchestrating containerized applications in a cloud-native environment, while Ansible simplifies the automation of system configurations and application deployments across various infrastructures.

Ultimately, the best course for you depends on whether you want to focus on cloud-native application management (OpenShift) or IT process automation (Ansible). Many organizations use both tools together, so learning both can give you a well-rounded skill set. However, if you have to choose one, select the course that aligns most closely with your current or future job role and the type of work you’ll be doing.

for more details 

hawkstack.com

qcsdclabs.com

[cybersecurityict]

How much can energy harvesting cut maintenance costs for remote IoT sensors

Cloud Native Applications Market was valued at USD 6.49 billion in 2023 and is expected to reach USD 45.71 billion by 2032, growing at a CAGR of 24.29% from 2024-2032. 

The Cloud Native Applications Market: Pioneering the Future of Digital Transformation is experiencing an unprecedented surge, driven by the imperative for businesses to achieve unparalleled agility, scalability, and resilience in a rapidly evolving digital economy. This architectural shift, emphasizing microservices, containers, and automated orchestration, is not merely a technological upgrade but a fundamental re-imagining of how software is conceived, developed, and deployed.

U.S. Businesses Lead Global Charge in Cloud-Native Adoption

The global Cloud Native Applications Market is a dynamic and rapidly expanding sector, foundational to modern enterprise IT strategies. It empowers organizations to build, deploy, and manage applications that fully leverage the inherent advantages of cloud computing. This approach is characterized by modularity, automation, and elasticity, enabling businesses to accelerate innovation, enhance operational efficiency, and significantly reduce time-to-market for new services. The market's robust growth is underpinned by the increasing adoption of cloud platforms across various industries, necessitating agile and scalable software solutions.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/6545 

Market Keyplayers:

Google LLC (Google Kubernetes Engine, Firebase)

International Business Machines Corporation (IBM Cloud, IBM Cloud Pak)

Infosys Technologies Private Limited (Infosys Cobalt, Cloud Ecosystem)

Larsen & Toubro Infotech (LTI Cloud, LTI Digital Transformation)

Microsoft Corporation (Azure Kubernetes Service, Azure Functions)

Oracle Corporation (Oracle Cloud Infrastructure, Oracle Autonomous Database)

Red Hat (OpenShift, Ansible Automation Platform)

SAP SE (SAP Business Technology Platform, SAP S/4HANA Cloud)

VMware, Inc. (VMware Tanzu, VMware Cloud on AWS)

Alibaba Cloud (Alibaba Cloud Container Service, Alibaba Cloud Elastic Compute Service)

Apexon (Cloud-Native Solutions, Cloud Application Modernization)

Bacancy Technology (Cloud Development, Cloud-Native Microservices)

Citrix Systems, Inc. (Citrix Workspace, Citrix Cloud)

Harness (Harness Continuous Delivery, Harness Feature Flags)

Cognizant Technology Solutions Corp (Cognizant Cloud, Cognizant Cloud-Native Solutions)

Ekco (Cloud Infrastructure Services, Cloud Application Development)

Huawei Technologies Co. Ltd. (Huawei Cloud, Huawei Cloud Container Engine)

R Systems (R Systems Cloud Platform, R Systems DevOps Solutions)

Scality (Scality RING, Scality Cloud Storage)

Sciencesoft (Cloud-Native Development, Cloud Integration Solutions)

Market Trends

Microservices Architecture Dominance: A widespread shift from monolithic applications to independent, smaller services, enhancing flexibility, fault tolerance, and rapid deployment cycles.

Containerization and Orchestration: Continued and expanding reliance on container technologies like Docker and orchestration platforms such as Kubernetes for efficient packaging, deployment, and management of applications across diverse cloud environments.

DevOps and CI/CD Integration: Deep integration of DevOps practices and Continuous Integration/Continuous Delivery (CI/CD) pipelines, automating software delivery, improving collaboration, and ensuring frequent, reliable updates.

Hybrid and Multi-Cloud Strategies: Increasing demand for cloud-native solutions that can seamlessly operate across multiple public cloud providers and on-premises hybrid environments, promoting vendor agnosticism and enhanced resilience.

Rise of Serverless Computing: Growing interest and adoption of serverless functions, allowing developers to focus solely on code without managing underlying infrastructure, further reducing operational overhead.

AI and Machine Learning Integration: Leveraging cloud-native principles to build and deploy AI/ML-driven applications, enabling real-time data processing, advanced analytics, and intelligent automation across business functions.

Enhanced Security Focus: Development of security-first approaches within cloud-native environments, including zero-trust models, automated compliance checks, and robust data protection mechanisms.

Market Scope: Unlocking Limitless Potential

Beyond Infrastructure: Encompasses not just the underlying cloud infrastructure but the entire lifecycle of application development, from conceptualization and coding to deployment, scaling, and ongoing management.

Cross-Industry Revolution: Transforming operations across a vast spectrum of industries, including BFSI (Banking, Financial Services, and Insurance), Healthcare, IT & Telecom, Retail & E-commerce, Manufacturing, and Government.

Scalability for All: Provides unprecedented scalability and cost-efficiency benefits to organizations of all sizes, from agile startups to sprawling large enterprises.

Platform to Service: Includes robust cloud-native platforms that provide the foundational tools and environments, alongside specialized services that support every stage of the cloud-native journey.

The Cloud Native Applications Market fundamentally reshapes how enterprises harness technology to meet dynamic market demands. It represents a paradigm shift towards highly adaptable, resilient, and performant digital solutions designed to thrive in the cloud.

Forecast Outlook

The trajectory of the Cloud Native Applications Market points towards sustained and exponential expansion. We anticipate a future where cloud-native principles become the de facto standard for new application development, driving widespread modernization initiatives across industries. This growth will be fueled by continuous innovation in container orchestration, the pervasive influence of artificial intelligence, and the increasing strategic importance of agile software delivery. Expect to see further refinement in tools that simplify cloud-native adoption, foster open-source collaboration, and enhance the developer experience, ultimately empowering businesses to accelerate their digital transformation journeys with unprecedented speed and impact. The market will continue to evolve, offering richer functionalities and more sophisticated solutions that redefine business agility and operational excellence.

Access Complete Report: https://www.snsinsider.com/reports/cloud-native-applications-market-6545 

Conclusion:

The Unstoppable Ascent of Cloud-Native The Cloud Native Applications Market is at the vanguard of digital innovation, no longer a niche technology but an indispensable pillar for any organization striving for competitive advantage. Its emphasis on agility, scalability, and resilience empowers businesses to not only respond to change but to actively drive it. For enterprises seeking to unlock new levels of performance, accelerate time-to-market, and cultivate a culture of continuous innovation, embracing cloud-native strategies is paramount. This market is not just growing; it is fundamentally reshaping the future of enterprise software, promising a landscape where adaptability and rapid evolution are the keys to sustained success.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

Mail us: info@snsinsider.com

[qcs01]

Top Features of Red Hat for Application Development

In today’s fast-paced digital landscape, application development demands robust, scalable, and reliable platforms to deliver seamless user experiences. Red Hat, a leader in open-source solutions, offers an array of tools and services tailored for application development. Whether you're a developer, architect, or IT leader, Red Hat's ecosystem equips you with the resources needed to accelerate innovation. Let’s explore the top features of Red Hat that make it a preferred choice for application development.

1. OpenShift Container Platform

Red Hat OpenShift is a Kubernetes-powered platform designed for containerized application development. It provides:

Streamlined Deployment: Automate the build, deployment, and scaling of applications.

Hybrid Cloud Flexibility: Develop and deploy applications across public, private, or hybrid clouds.

DevOps Integration: Integrated CI/CD pipelines to support agile development methodologies.

2. Enterprise-Grade Middleware

Red Hat offers JBoss Middleware, which provides a suite of solutions for building modern applications, including:

Business Rules Automation: With Red Hat Decision Manager for smarter decision-making.

API Management: Seamless integration of APIs for microservices architecture.

Data Virtualization: Real-time access to data across multiple sources.

3. Developer-Friendly Tools

Red Hat fosters productivity with a range of developer tools and services:

CodeReady Workspaces: A developer workspace in the cloud to write, test, and debug code.

Application Runtimes: Support for Java, Node.js, and other popular runtimes for modern development.

Red Hat Developer Program: Access to free developer subscriptions, tools, and learning resources.

4. Security and Compliance

Red Hat ensures that your applications are secure from development to deployment:

SELinux Policies: Secure your applications at the OS level.

Container Security: Integrated vulnerability scanning and policy enforcement for containerized applications.

Enterprise Support: Regular updates and patches to meet compliance requirements.

5. Accelerated Innovation with Automation

Automation is critical for efficiency and scalability, and Red Hat excels with:

Ansible Automation Platform: Automate repetitive tasks to reduce errors and save time.

GitOps Practices: Integration with OpenShift to enable declarative infrastructure management.

Cloud-Native DevOps: Tools for automating application delivery pipelines.

6. Scalability and High Availability

Red Hat’s architecture ensures your applications are always up and running, no matter the demand.

Horizontal and Vertical Scaling: Meet dynamic workloads efficiently.

Failover and Load Balancing: Maintain uptime and distribute traffic seamlessly.

Cloud-Native Infrastructure: Support for large-scale, distributed systems.

7. Comprehensive Ecosystem Support

Red Hat’s ecosystem includes partnerships and integrations to support developers at every step:

Partner Ecosystem: Collaboration with cloud providers like AWS, Azure, and Google Cloud.

Marketplace Solutions: Pre-integrated tools and services for faster deployments.

Community-Driven Innovation: Contributions from the open-source community for continual improvements.

8. Insights and Analytics

Red Hat Insights delivers predictive analytics and actionable intelligence to optimize performance and minimize risks:

Proactive Monitoring: Identify potential issues before they occur.

Performance Optimization: Recommendations for resource management.

Compliance Reporting: Stay audit-ready with detailed reports.

Conclusion

Red Hat is more than a platform; it’s an ecosystem that empowers application developers with cutting-edge tools and frameworks. Its commitment to open source, security, and innovation makes it an indispensable partner for organizations aiming to build scalable, modern applications.

Embrace the power of Red Hat for your application development needs and lead your business into the future.

#RedHat #ApplicationDevelopment #OpenSource #DevOps #CloudNative

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