Maximize your ROI on cloud spend with Red Hat
Omdia predicts that sales of third-party products through AWS Marketplace, Microsoft Marketplace and Google Cloud Marketplace will reach $163 billion by 2030, up from $45 billion in 2025, growing at 29.1% CAGR.
Learn how to maximize your ROI on cloud spend with Red Hat below.
Featured Content
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Demystifying Cloud Marketplaces
Cloud marketplaces are strategic, but enterprises use outdated assumptions. This report debunks 4 myths for smarter software procurement with FinOps.
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Hyperscaler marketplaces: a fastgrowing model for software procurement
Hyperscaler marketplace spending will grow from $45.5B in 2025 to $163.1B by 2030. Channel partners expected to drive 59% of purchases. Read more.
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Hyperscaler marketplaces are exploding as a procurement platform for enterprise customers
Enterprise procurement shifts to hyperscaler marketplaces, with third-party sales reaching $163B by 2030. Channel partners expected for 59% of spend.
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Featured Content
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Maximize your cloud spend with Red Hat
Organizations can streamline cloud procurement and optimize costs via committed spend agreements. Multiple models offer flexibility to reduce expenses.
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Optimize financial operations with Red Hat solutions in the cloud
As cloud adoption grows, FinOps teams face cost pressure. Red Hat provides hybrid/multicloud platforms to streamline operations via marketplaces.
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Browse Our Library
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3 tips to optimize Azure cloud spend on Red Hat solutions
Organizations optimizing Azure spend can explore consumption models, committed programs, and solutions. Microsoft Azure Consumption Commitment may streamline procurement and unlock savings on eligible products. Read this white paper for strategies to maximize committed cloud spend.
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3 tips for using Google Cloud spend on Red Hat solutions
Organizations can maximize cloud budgets by strategically leveraging Google Cloud Commit for Red Hat solutions. Models include pay-as-you-go, committed discounts, and private offers to optimize procurement and reduce costs.
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4 benefits of using Red Hat solutions on Microsoft Azure
Organizations seeking flexible hybrid cloud solutions can use Red Hat on Microsoft Azure to build adaptable infrastructure, optimize spend, streamline management, and access integrated support. Read this overview to explore how these solutions support digital transformation.
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5 ways Red Hat and AWS build AI value
Red Hat OpenShift AI on AWS simplifies AI adoption with a managed platform, enabling efficient model building, training, and deployment. It bridges DevOps and MLOps, ensures scalability, and supports hybrid environments, empowering organizations to accelerate their AI strategies.
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Automate Google Cloud with Red Hat Ansible Automation Platform
Managing hybrid cloud complexity strains resources and inflates costs. Red Hat Ansible Automation Platform automates Google Cloud operations, enhancing efficiency, governance, and security. Learn how automating infrastructure, storage, AI workloads, and security benefits your organization.
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The Business Value of RHEL for Google Cloud
An IDC report examines business value from seven global enterprises running Red Hat Enterprise Linux on Google Cloud, covering security, infrastructure, and developer productivity in hybrid environments. Read the full report for methodology and findings.
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Cloud performance, optimized - Discover Red Hat Enterprise Linux for AWS
Red Hat Enterprise Linux for AWS is a cloud-optimized OS designed to streamline operations, enhance security, and accelerate innovation. With preconfigured images, integrated tools, and hybrid cloud support, it simplifies management, boosts efficiency, and ensures consistency across environments.
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Effectively manage deployments in Google Cloud with Red Hat Lightspeed
Managing hybrid and multicloud workloads creates inefficiencies and risks. Red Hat Lightspeed offers AI-powered management, proactive security, and resource optimization across on-site and Google Cloud via a unified interface. See how it streamlines operations.
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Focus on cloud initiatives with Red Hat and Microsoft
Standardizing on one OS across hybrid cloud simplifies operations, enhances security, and cuts costs. Red Hat Enterprise Linux for Microsoft Azure offers a cloud-optimized, secure foundation with integrated management and enterprise support. Read this overview to learn more.
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Focus on Google Cloud: Hyperscaler marketplaces: a fast-growing model for software procurement
Hyperscaler marketplace spending projected to grow from $45.5B in 2025 to $163.1B by 2030, driven by cloud commit burndown and simplified procurement. Channel partners expected to fulfill 60% of purchases by 2030.
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From AI prototype to production
Moving AI from prototype to production presents challenges like cost, complexity, and operationalization. This e-book explores how integrated MLOps/DevOps, hybrid cloud flexibility, and built-in security help enterprises scale generative AI confidently. Read to learn more.
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Get more out of your Microsoft Azure Consumption Commitment
Organizations using Microsoft Azure Consumption Commitment (MACC) can apply funds to Red Hat solutions like OpenShift, Enterprise Linux, Ansible, and JBoss, simplifying hybrid cloud deployments without extra approvals. Read this overview to explore partnership benefits.
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Migrate VMs to AWS cloud
Migrate VMs to AWS with Red Hat OpenShift Virtualization on OpenShift Service on AWS. Benefit from a consistent hybrid cloud platform, unified tools, and cloud-native technologies to modernize applications, refactor VMs, and accelerate your digital transformation journey.
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Modernize your IT with cloud services
Managed cloud services reduce IT complexity, control costs, and accelerate modernization in hybrid/multicloud environments. As AI and containerization demands grow, expert platforms offer efficiency and innovation paths.
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Optimize cloud efficiency with Red Hat Enterprise Linux for AWS
Organizations balancing hybrid/multicloud strategies need platforms that reduce complexity and strengthen security. Red Hat Enterprise Linux for AWS offers preconfigured images, unified management, and AI analytics.
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