Red Hat Summit 2025 Day 2 (Part 2) - Evolving hybrid cloud for enterprise innovation

Summary notes created by Deciphr AI

https://www.youtube.com/watch?v=reYmC1nLx34
Abstract

Abstract

At the Red Hat Summit, the focus was on showcasing innovative uses of technology, particularly in AI and cloud computing, to solve industry challenges. The event celebrated the 2025 Red Hat Innovation Award winners, highlighting advancements such as generative AI for developers, virtualized healthcare systems, and AI-driven government services. Key discussions included Red Hat's Real 10, emphasizing scalability and security, and Ansible Automation Platform's role in enhancing automation. The summit also introduced new partnerships and tools, like the Red Hat Advanced Developer Suite and Open Shift AI, aimed at integrating AI into existing systems to boost productivity and security.

Summary Notes

Innovation in Technology and Red Hat's Role

  • Red Hat highlights the use of hybrid cloud platforms, virtualization, and AI in solving industry challenges.
  • Red Hat customers are recognized for innovations such as using generative AI to improve developer delivery times and modernizing cloud-native systems.
  • The 2025 Red Hat Innovation Award winners showcase advancements in healthcare, government services, and energy sectors.

"Hybrid cloud platforms, virtualization, and AI are helping to solve some of the biggest challenges across industries."

  • Red Hat emphasizes the transformative impact of these technologies in various sectors.

"Congratulations to the 2025 Red Hat Innovation Award winners."

  • Recognition of outstanding contributions by Red Hat customers to technological innovation.

Real 10 and its Advancements

  • Real 10 represents a significant advancement in Linux technology, focusing on scalability, stability, and performance.
  • The platform simplifies infrastructure management with features like image mode forel and provides seamless upgrades and rollbacks.
  • Real Light Speeded integrates AI into Real 10, offering tools like command line assistant for troubleshooting.

"Real 10 is the biggest leap forward in Linux in over a decade."

  • Acknowledges the substantial progress Real 10 brings to Linux technology.

"With image mode forel, we're fundamentally simplifying the infrastructure for running workloads at scale."

  • Highlights the ease of managing workloads with Real 10's new capabilities.

AI Integration and Insights

  • Real Light Speeded offers AI-driven tools and insights to enhance user productivity and decision-making.
  • The platform includes tools like Insight image builder and insights planning tool to provide tailored recommendations and proactive insights.
  • Red Hat's AI offerings, such as Open Shift AI and AI inference server, form a trusted foundation for AI innovations.

"Real Light Speeded brings AI and decades of expertise from inside Red Hat directly to real users."

  • Emphasizes the integration of AI expertise into Real 10 for user benefit.

"Imagine getting the advice you need right at your fingertips to help make you faster, more productive, and reduce risk."

  • Illustrates the practical benefits of AI-driven insights for users.

Security Enhancements in Real 10

  • Real 10 addresses increasing security threats with comprehensive solutions like postquantum cryptography.
  • Red Hat is proactive in developing postquantum security measures to protect sensitive data against future threats.
  • The platform is designed to enhance security and compliance through integrated AI capabilities and investments in postquantum features.

"Real 10 provides a comprehensive solution that helps enhance an organization's security posture."

  • Highlights Real 10's role in strengthening organizational security.

"Red Hat is ahead of the game here. We are leaders in postquantum security."

  • Asserts Red Hat's leadership in developing future-ready security solutions.

Automation with Ansible

  • Ansible Automation Platform 2.5 enhances automation capabilities, integrating AI to assist users.
  • The platform supports virtualization automation and event-driven automation for real-time, scalable operations.
  • Ansible's automated policy enforcement ensures AI-driven actions adhere to human-set policies.

"Successful organizations are adopting more top-down automation strategies and those organizations are trusting Red Hat Ansible Automation Platform."

  • Describes the strategic adoption of Ansible for enterprise automation.

"We took big steps forward with the release of Ansible Automation Platform 2.5."

  • Marks the significant advancements in Ansible's automation capabilities.

Integration of Ansible and Terraform

  • Ansible and Terraform integration enables holistic end-to-end automation across the entire infrastructure lifecycle.
  • The integration offers a streamlined experience for development and operations teams, reducing costs and complexity.
  • Focus on developing jointly supported collections and providers to accelerate adoption with a larger library of curated content.

"Arman shared how these two tools will enable customers to embrace holistic end-to-end automation across the entire infrastructure life cycle."

  • Highlights the strategic collaboration between Ansible and Terraform to enhance automation capabilities.

"This workflow now can trigger many steps from both Ansible and Terraform."

  • Describes the integration workflow allowing multiple automated steps using both tools, enhancing efficiency.

Wells Fargo's Automation Journey with Red Hat

  • Wells Fargo leverages Red Hat for a secure and scalable open-source technology path.
  • Automation is crucial for consistent results and growth in global operations.
  • Ansible Automation Platform (AAP) empowers engineers to be creative while adhering to regulatory controls and best practices.

"At Wells Fargo, we're interested in a partner that creates a safe and secure path towards consuming open-source technology at scale."

  • Emphasizes the importance of security and scalability in Wells Fargo's partnership with Red Hat.

"AAP gave us that vehicle that allows us engineers to be creative while meeting regulatory controls, best practices and standards at the bank."

  • AAP provides the flexibility needed for engineers to innovate within regulatory frameworks.

Complementary Use of Ansible and Terraform at Wells Fargo

  • Terraform Enterprise and AAP empower engineers to be creative at scale.
  • The integration of infrastructure as code and configuration as code is a future vision.
  • Collaboration with Red Hat and HashiCorp has been fruitful in maturing products for customers.

"We operate Terraform enterprise and we operate it similarly to how we operate AAP empowering engineers to across the bank to be creative at scale."

  • Describes the empowerment of engineers through the use of Terraform and AAP.

"Our experience working closely with Red Hat and HashiCorp product teams has been nothing but fruitful."

  • Positive collaboration experiences with product teams to enhance offerings.

OpenShift and HashiCorp Vault Integration

  • Vault runs inside OpenShift to securely manage secrets.
  • The integration allows smooth access to secrets management functionality within OpenShift.
  • Managed directly in OpenShift, it offers familiarity for both OpenShift and HashiCorp admins.

"Vault runs inside OpenShift to help us more securely manage secrets."

  • Highlights the security enhancements provided by integrating Vault with OpenShift.

"This integration is configured and managed directly in OpenShift."

  • Emphasizes ease of management and familiarity for administrators.

Digital Effects Group (DEG) and Red Hat Partnership

  • DEG uses Red Hat OpenShift for scalable backend applications supporting creative processes.
  • OpenShift enables improvement and iteration on pipelines for larger jobs and processes.
  • Red Hat training and consultancy were crucial for DEG's quick adaptation and problem-solving.

"Moving the backbone of our digital asset management system into Red Hat OpenShift has enabled us to base the pipeline on a new industry standard USD technology."

  • Describes the technological advancement and standardization achieved through OpenShift.

"The thing which really struck me was how engaged and embedded the consultants were in our teams."

  • Highlights the effective integration and collaboration of Red Hat consultants with DEG teams.

Developer Productivity and Security with Red Hat

  • Focus on integrating AI and increasing developer productivity while maintaining security.
  • Platform engineering and Internal Development Portals (IDPs) are key trends to boost productivity.
  • Red Hat Advanced Developer Suite empowers platform engineers and developers with tools for speed and safety.

"The goal of these IDPs is to boost developer productivity by reducing their cognitive load and creating a clear paved path to production."

  • IDPs are designed to simplify the development process and enhance productivity.

"Red Hat advanced developer suite is designed precisely for this. It empowers platform engineers to give developers the tools to move fast and yet stay safe."

  • Describes the purpose and benefits of the Red Hat Advanced Developer Suite in balancing speed and security.

Red Hat DeveloperHub and AI-Focused Software Templates

  • Red Hat DeveloperHub introduces AI-focused software templates to streamline the deployment of common operational patterns such as chatbots, code generation, and object detection.
  • These templates aim to reduce development toil and ensure a seamless path to production while integrating with Red Hat's security portfolio.
  • Security features include artifact signing and verification, which are integrated into the development workflow, ensuring security is not an afterthought.

"These templates they simplify deploying common operational patterns for chat bots, code generation, audio to text, object, object detection, rag and model server deployment right on Red Hat Open Shift AI."

  • The introduction of these templates aims to simplify and streamline the deployment of AI models on Red Hat Open Shift AI.

"These templates, they integrate seamlessly with Red Hat security portfolio. So, tools like Red Hat trusted artifact signer, trusted profile analyzer, and even advanced cluster security."

  • Integration with Red Hat's security tools ensures that security measures are embedded in the development process from the start.

Red Hat Advanced Developer Suite

  • The suite represents Red Hat's commitment to enhancing the developer experience with integrated security.
  • It supports platform engineering teams by providing a secure and productive environment for rapid innovation, particularly with AI.

"We are thrilled to introduce Red Hat advanced developer suite this week. It represents our continued commitment to helping platform engineering teams deliver a great developer experience with security that's built in right from the start."

  • The suite is designed to support developers in achieving a secure and efficient development process.

IT Skills Crisis and Red Hat Open Shift Lightseed

  • By 2026, more than 90% of organizations will face an IT skills crisis, leading to significant financial losses.
  • Red Hat Open Shift Lightseed, a GenAI-based virtual assistant, is introduced to help bridge the skills gap by providing instant answers and troubleshooting for Open Shift environments.

"In fact, by 2026, IDC predicts more than 90% of organizations worldwide will feel the pain of the IT skills crisis. That's 90%."

  • The IT skills crisis is a significant challenge that organizations will face, impacting their financial performance.

"This week we announced the general availability of Red Hat Open Shift Lightseed to help address this gap for our customers."

  • Open Shift Lightseed is introduced as a solution to empower admins and mitigate the skills gap.

PNC Bank's Data Center Evolution with Red Hat

  • PNC Bank has been evolving its data centers with a focus on resilience and world-class service delivery.
  • The goal was to modernize capabilities without creating friction in adoption, leading to the creation of the Orange Rocket program.
  • The program includes a "path to production" use case to streamline the transition from ideation to operationalization.

"We wanted to really be able to deliver world-class product and services to our customers. So, we needed to kind of beef up our capabilities in that space."

  • PNC aimed to enhance its capabilities to provide top-tier services to customers.

"We created a program and the program is uh named Orange Rocket. It basically houses all of these the work sets that we're that we're doing to build these capabilities."

  • The Orange Rocket program was established to develop and implement new capabilities without causing adoption friction.

Red Hat's Role in PNC's Strategy

  • Red Hat provided essential tools and frameworks that aligned with PNC's path to production strategy, reducing the time and effort required for implementation.
  • The partnership with Red Hat enabled PNC to leverage existing tools and expertise, facilitating faster delivery and knowledge transfer.

"And Red Hat made a lot of sense with the automation framework, you know, the containerization uh so that we can have more uh modern development platforms."

  • Red Hat's tools were crucial in supporting PNC's modernization efforts and path to production.

"So that partnership really helped me tremendously."

  • The collaboration with Red Hat was instrumental in PNC's successful implementation of new strategies.

Future of PNC's Data Center and AI Integration

  • PNC plans to productize the path to production and integrate authentic AI into the development process to keep up with evolving demands.
  • AI is seen as a critical component in supporting development and operationalizing new methodologies.

"Aentic AI in the development space and supporting this path to production is is is a very good use case for us and that's where we're probably going to push and lean in."

  • PNC sees AI as a vital tool for enhancing development processes and plans to integrate it further.

Red Hat and Oracle Collaboration

  • Red Hat expands its collaboration with Oracle to offer Open Shift deployment options on Oracle cloud infrastructure.
  • The collaboration aims to provide a consistent, cloud-native foundation for next-generation workloads, including AI.

"We're expanding now to include Oracle validation of its key applications and software on Red Hat Open Shift."

  • The partnership with Oracle is intended to enhance support for Oracle database customers and provide more deployment options.

AI and Red Hat's Vision

  • Red Hat aims to integrate AI into existing environments and applications, making them AI-capable.
  • The Model Context Protocol (MCP) is highlighted as a core standard for enabling innovation and flexibility in AI development.

"We truly want to make your existing world AI capable."

  • Red Hat's vision is to seamlessly integrate AI capabilities into existing systems, enhancing their functionality.

"Now the letter P protocol is really important in this case. Vince Surf the godfather of the internet describes protocol as a clearly delineated line that allows for independent innovation on either side of that line."

  • The importance of protocols like MCP is emphasized for fostering innovation without restrictions.

Introduction to MCP and Agentic AI

  • MCP (Model Connection Protocol) and Agentic AI are technologies designed to integrate AI with enterprise data without requiring massive rewrites of existing applications.
  • MCP enables existing applications to become AI-capable, facilitating a transition to an AI-driven future without derailing business operations.
  • Red Hat collaborates with partners like Anthropic and Unstructured to standardize the delivery of data to AI models.

"Forget massive rewrites of everything. MCP empowers you to make your existing applications AI capable."

  • This quote highlights the core advantage of MCP in transforming existing applications into AI-ready systems without the need for extensive modifications.

Unstructured Data and MCP Integration

  • Unstructured data refers to complex documents like PDFs, HTML, PowerPoint, and Word documents that need to be cleaned and structured for AI use.
  • Unstructured automatically processes these documents, making them ready for AI models by formatting outputs according to the MCP specification.
  • The integration of MCP with Unstructured enhances AI performance by providing a clearer context for data, leading to more accurate results.

"Unstructured prepares the content. MCP standardizes its delivery to the model."

  • This quote emphasizes the complementary roles of Unstructured and MCP in preparing and delivering data to AI systems efficiently.

Benefits of MCP for Customers

  • MCP offers streamlined integration and improved AI performance by ensuring faster data flow from documents to AI.
  • It maps document elements like titles and sections to the MCP structure, enhancing the AI's understanding and resulting in more reliable outputs.
  • The system simplifies the process for developers by providing a unified environment for application development and AI integration.

"The main benefits are streamlined integration and better AI performance."

  • This quote outlines the key advantages of MCP in enhancing the efficiency and effectiveness of AI systems for customers.

Red Hat's Vision and Demonstration

  • Red Hat aims to integrate MCP into various environments, using a fictional insurance company, Parasol, to demonstrate the application.
  • The demonstration includes using Open Shift AI to bring together models and MCP servers, showcasing the ease of integrating AI into existing systems.
  • The demo illustrates the practical use of MCP in a real-world scenario, enhancing the efficiency of insurance agents through a simplified workflow.

"We wanted to show you how we expect you to be able to use this."

  • This quote highlights Red Hat's intention to demonstrate the practical application and benefits of MCP in real-world situations.

Practical Application of MCP and AI

  • The demonstration involves using a chat interface to manage quotes and CRM data, illustrating the seamless integration of MCP with existing systems.
  • MCP enables insurance agents to handle tasks like updating quotes and opening service tickets without leaving the chat interface, improving workflow efficiency.
  • The integration of AI and automation allows for event-driven solutions to system issues, maintaining human oversight while leveraging AI capabilities.

"We have this powerful flexibility to mix and match MCP servers with models."

  • This quote underscores the flexibility and adaptability of MCP in integrating different servers and models to enhance user experience.

Conclusion and Future Prospects

  • Red Hat encourages the exploration of MCP and AI technologies to innovate and improve existing systems.
  • The vision is to enable AI capabilities without the need for extensive system overhauls, allowing users to build on their current infrastructure.
  • Red Hat invites users to engage with the MCP community and contribute to the development of AI-driven solutions.

"Imagine a world where I don't have to do finetuning for everything. I don't have to use rag for everything."

  • This quote reflects the potential of MCP to simplify AI integration, offering flexibility and reducing the need for complex adjustments.

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