Submit a session

Share your ideas with thousands of open source enthusiasts at Red Hat Summit 2020.

Our call for proposals has now ended. Thanks to all who have submitted abstracts as part of helping us build another strong agenda for Red Hat Summit.

We are currently grading the submissions and will send notifications of accepted session proposals in January 2020.

This year's topics

Help us talk about the topics that are important to Red Hat, our partners, and our customers. Please base your abstract on one of this year’s tracks. Expand the track name to see its topics.

  • Red Hat Ansible Automation for networking
    • Creating backups of network equipment within a multivendor environment (Cisco, Juniper, Arista)
    • Creating changes on multiple switching and routing platforms (Cisco, Juniper, Arista)
    • Making changes to multivendor load-balancing environments (F5,AVI, Netscaler)
    • Maintaining and deploying SDN environments (Cisco ACI, Bigswitch, NSX)
    • Validating and auditing for compliance on multivendor equipment (Cisco, Juniper, Arista)
    • Maintaining and deploying firewalls within multivendor environment (F5, Juniper, Palo Alto)
  • Red Hat Ansible Automation: Getting started 
  • Red Hat Ansible Automation: Making the case
  • How to operationalize your DevOps infrastructure
  • Insights and data concerns
  • Red Hat Management at mega scale
  • Customer/partner feature: Automation solutions
  • Extensibility of Red Hat management solutions
  • Managing and automating your Red Hat hybrid/multicloud environments
  • Red Hat Ansible Automation Platform
  • Ansible best practices (playbooks, roles, modules, galaxy)
  • Hybrid cloud manager
  • Ansible + Red Hat Insights
  • Automating security and compliance
  • Automating public cloud
  • Automating CI/CD
  • Developing an automation strategy (CoP, automation first, shared success, etc.)
  • Automating application deployment
    • Integrating directly with Jenkins, Team City, Bamboo, Travis CI for automated continuous deployment
    • Rolling back and forward application versions on demand with an automated deployment process
    • Controlling application deployment in containers
    • Deploying to multiple environments (dev, stage, prod) with same code base
    • ontrolling application repositories (BitBucket, Gitlab, GitHub), deployment strategy automation: canary, blue-green, rolling, etc.)
  • Automating configuration management
    • Fully manage configuration and life cycle of on- and off-premise resources via SSH, WinRM, or APIs
    • Updating system passwords across hybrid environments
    • Configuring your instance to your company's standards and practices
    • System configuration validation and drift management
    • Certificate, package, and entitlement management
    • Virtualization layer and hypervisor management
  • Automating cloud integration
    • Provisioning and management of public cloud resources
    • Creating/deleting and obtain facts for cloud resources
    • Deploying and managing OpenStack® infrastructure
    • Creating/deleting autoscale groups
    • Managing virtual networks, subnets and network interfaces
    • Dynamic inventories for cloud resources
  • Automation in FSI (customer success)
  • Automation in public sector (customer success)
  • Automation in healthcare (customer success)
  • Automation in entertainment/media (customer success)
  • Ansible + OCP
  • Kubernetes- and container-native development (best practices, patterns, and how-to gui dance)
  • Kubernetes-native continuous delivery, CI/CD (how-to guidance, best practices, and tools)
  • Microservices (development, deployment, testing, security and management, best practices, patterns, and how-to guidance)
  • Microservices (data management, data streaming and caching patterns, best practices, and how-to guidance)
  • Microservices integration (best practices, patterns, and how-to guidance)
  • Serverless and functions (development, deployment, management best practices, patterns, and how-to guidance)
  • Application migration and modernization (best practices, patterns, and how-to guidance)
  • Service mesh and Istio (development, deployment, management best practices, patterns, and how-to guidance)
  • Knative and serverless (Quarkus, CamelK, roadmap, development, deployment, management best practices, patterns, and how-to guidance)
  • Operator and operator framework (best practices, patterns, and how-to guidance)
  • Language runtimes and application frameworks (roadmap, best practices, patterns, and how-to guidance (Java, JavaScript, MicroProfile, Quarkus, Reactive, Functions, etc.))
  • Mobile application development and integration
  • Customer implementation, reference architecture, and case studies related to any topics above
  • Stories of setting up a continuous delivery pipeline on OpenShift
  • How to use Tekton/OpenShift pipelines for continuous delivery
  • Why use GitOps with continuous delivery
  • Deployment strategies: Blue-green deployments, A/B testing, and canary releases
  • Configure a CI/CD pipeline for serverless applications
  • Security in the continuous delivery pipeline
  • Success in application architecture with serverless architecture
  • Implementing serverless using Knative and Quarkus
  • Using Quarkus to implement Java in microservices or serverless architectures
  • Quarkus for better microservices architecture for Java devs, necessitating Istio
  • Developer toolchain on OpenShift for cloud development
  • Success stories using Java in the cloud
  • Using Ceph/OpenShift container storage in cloud application design
  • Getting started with service mesh/Istio routing
  • Serverless or microservices security topics
  • Monitoring applications using Prometheus and Grafana
  • Debugging microservices applications
  • Debugging serverless applications
  • Security and stability of microservices applications
  • Security and stability of serverless applications
  • Developing operators for Kubernetes/OpenShift
  • Convert existing application into a Kubernetes/OpenShift operator
  • Using Linux in containers (UBI, Red Hat Enterprise Linux, podman, buildah, skopeo)
  • Managing developer environments for cloud development with Eclipse Che/Red Hat CodeReady Workspaces
  • Improving your OpenShift workflow with odo
  • Integration best practices and architectures
  • Business automation best practices and architectures
  • Data pipelines
  • Event-driven architecture
  • Apache Kafka/data streams
  • Apache Camel/enterprise integration patterns
  • Messaging (synchronous, asynchronous, patterns)
  • Business rules/Drools and decision logic
  • Process modeling
  • Security for integration (in the cloud, APIs, messaging, traffic management)
  • API design, development, and life cycles
  • Data-driven integration (how integration is a part of AI/ML, RPA, IoT)
  • Integration for public or hybrid cloud
  • Integration best practices and architectures
  • Business automation best practices and architectures
  • Data pipelines
  • Event-driven architecture
  • Apache Kafka/data streams
  • Apache Camel/enterprise integration patterns
  • Messaging (synchronous, asynchronous, patterns)
  • Business rules/Drools and decision logic
  • Process modeling
  • Security for integration (in the cloud, APIs, messaging, traffic management)
  • API design, development, and life cycles
  • Data-driven integration (how integration is a part of AI/ML, RPA, IoT)
  • Integration for public or hybrid cloud
  • Red Hat Enterprise Linux on public cloud
  • Value of the subscription (extend to public cloud with Red Hat Cloud Access)
  • Operating systems in the hybrid cloud
  • OpenShift on public cloud
  • Hybrid cloud with OpenShift
  • Multicloud infrastructure
  • OpenShift in a multidatacenter environment
  • OpenStack for private cloud
  • OpenShift on OpenStack
  • OpenShift on Azure
  • OpenShift Dedicated on AWS
  • How Red Hat cloud portfolio fits together to drive customer value
  • Is a multicloud strategy right for you?
  • Cloud trade-offs: public, private, and/or hybrid/multicloud
  • Costs and the hybrid cloud
  • Hybrid cloud workloads
  • Write once, run anywhere—taming the hybrid cloud (OCP vs. cloud-native)
  • Architectural pattern evolution with cloud + federation + data + microservices + containers
  • Kubernetes-native infrastructure
  • Edge computing
  • AI/ML on OpenShift
  • IoT and cloud
  • Networking integration with OpenShift and OpenStack
  • OpenShift operators
  • Self-service provisioning
  • Scalable application platforms
  • DevOps with Red Hat OpenShift
  • Cloud and DevOps (starting with automation (Red Hat Ansible Automation and Red Hat Insights))
  • Automation & management in the cloud
  • Security and compliance in the hybrid cloud
  • A cloud-native approach to secure your cloud
  • How the operating system secures the cloud
  • Storage for containers
  • Data and storage in the cloud
  • Hyperconverged storage
  • Federation (storage and network patterns for hybrid cloud (noobaa and Ceph)
  • How the cloud drives emerging technologies
  • The future of the cloud
  • High-performance computing in the cloud
  • Telco and NFV
  • Public sector/education: IT automation, DevOps, new products being introduced
  • Red Hat Infrastructure Migration Solution or Red Hat Modernization and Migration Solution (MMS/IMS): Migration to Red Hat infrastructure, application modernization, container adoption with Red Hat consulting
  • Telco: OSS/BSS (and network automation), vRAN, containerized network functions (CNFs), AI/ML
  • Oil & gas/utilities: Retail distribution, upstream data science, SCADA and IoT, secure edge data, open source in oil & gas, DataScience ops, digital transformation, HPC, DevOps
  • Connected manufacturing: Autonomous vehicles, connected car, factory edge-edge computing, IoT, digital transformation, automation—IT and business process, application modernization, DevOps
  • FSI: Open banking/APIs in banking/API economy/monetizing APIs, connected claims, business process automation, faster payments/real-time payments/payments modernization, blockchain/hyperledger in production, AI/ML in production, fraud mitigation, pricing and risk analytics, hybrid/multicloud security & compliance, Quarkas application, cloud-native development, IoT in financial services, cultural change in long-standing firms
  • Healthcare: Clinical decision support, compliance automation, connected care, intelligent Data-as-a-Service, IT modernization
  • Hyperconverged infrastructure
  • Tuning Red Hat Gluster Storage
  • Modernizing infrastructure
  • Tuning Red Hat Ceph Storage
  • Migrating infrastructure from VMware
  • Customer/partner feature: A modernization journey
  • Software-defined storage customer use cases
  • How to get started managing Red Hat Enterprise Linux (Red Hat Satellite, Red Hat Insights, Red Hat CloudForms, Red Hat Ansible Automation)
  • Security responses, CVEs
  • Overview of identity management
  • Red Hat OpenShift on Red Hat Virtualization
  • SELinux overview
  • Red Hat Virtualization solutions overview
  • Value of a Red Hat subscription
  • Simplifying storage deployments
  • Healthcare (ERP, EMR) or web server workloads on Red Hat Enterprise Linux
  • Migrating from VMware virtualization to Red Hat Virtualization
  • Red Hat Enterprise Linux's ease of use
  • Managing Red Hat Enterprise Linux at scale
  • Moving from virtualization to a container world
  • Red Hat Enterprise Linux: Performance tuning
  • Infrastructure as code
  • SQL Server on Red Hat Enterprise Linux
  • SAP HANA on Red Hat Enterprise Linux
  • Red Hat Virtualization: Customer case study
  • Using Red Hat Insights with Red Hat Enterprise Linux
  • Portfolio built on Linux
  • Red Hat Ansible Automation for IT infrastructure (config and provision private cloud)
  • Automating private cloud with Red Hat Ansible Automation
  • Smart management (implementation, practices)
  • Ansible + Satellite provisioning (smart management) (Bare metal provisioning of servers using Satellite, or any other datacenter management tool, provisioning instances in multivendor environments, entitlement and package management, HPC clusters, Docker container provisioning, OS bootstrapping)
  • You got your agile in my waterfall (methods, tips, tricks to successfully manage agile software projects within larger waterfall organizations, how to bring agile processes to areas outside of IT)
  • Cultural or organizational practices that impede digital transformation & leadership
  • The continuous-learning mindset (how to cultivate it in your organization, your teams, or yourself)
  • 20-minute experience reports (these sessions will highlight customers, partners, and internal Red Hat products & teams talking about their successes and learnings in digital transformation & leadership)
  • 20-minute experience reports (these sessions will highlight customers, partners, and internal Red Hat products that are being used to solve the worlds most challenging problems)
  • How to encourage the culture and desire to build security practices into every IT process
  • How you cultivated culture in your IT organization and your broader business.
  • Real metrics for digital transformation (how to measure your organization to know you are making progress)
  • How open architecture, open processes, and an open culture can help you transform your organization
  • Open culture can be a competitive advantage (learn how it works in practice)
  • Creating and leading in an open culture
  • The benefits and challenges of managing in an open source environment
  • How shared understanding of a strategic vision across your organization’s business, IT, operations, etc. helps progress your digital transformation
  • How did using certain technical products and practices help your organization transform and become more efficient (focusing on the outcomes and benefits it provided)? E.g. CI/CD pipelines, test-driven development, containers, OpenShift, Ansible Automation

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