Any App, Any Scale: The Plotly Publishing Playbook
October 22, 2025
Navigate the critical publishing decisions that make or break your data application strategy.
Every data team faces the same challenge: brilliant analyses and applications trapped by publishing complexity. Should you build for the cloud or keep everything behind the firewall? How do you balance rapid sharing with enterprise security? When does a quick prototype need production-grade infrastructure? How do you choose the right approach for internal teams versus external stakeholders?
This webinar reveals the strategic framework for making these decisions and executing them flawlessly. You'll discover how leading organizations solve publishing challenges across every scenario, from rapid external collaboration to mission-critical internal applications.
What You'll Learn:
Strategic Decision-Making: Understand when to choose SaaS publishing versus behind-the-firewall solutions based on data sensitivity, compliance requirements, organizational policies, and whether you're serving internal teams or external stakeholders.
Publishing Architecture: See how modern Kubernetes-based infrastructure delivers cloud-native scalability, automated scaling, and greater efficiency while maintaining enterprise governance.
Workflow Optimization: Master the techniques for moving from localhost to production across different publishing models; whether sharing externally or for secure internal enterprise applications.
Real-World Case Studies: Learn from Fortune 500 implementations that successfully balance rapid innovation with enterprise security and compliance requirements.
Live Demonstrations: Watch actual publishing workflows in action, from drag-and-drop simplicity to enterprise-scale configuration.
Practical Takeaways: Leave with a clear framework for evaluating publishing options, understanding trade-offs, and implementing solutions that scale with your organization's needs.
Every data app has potential, but only the right publishing strategy drives scale. Watch this on-demand webinar to learn how to get there.
Meet the Speakers
Nathan Drezner
Nathan Drezner is a Technical Product Manager at Plotly for Plotly Cloud and the Plotly open-source libraries, including Dash, Plotly.py, and Plotly.js. Nathan's work focuses on enabling our massive community to build, publish, and share projects built with our libraries, and includes overseeing modernization of our mapping technology in Plotly.js, dataframe agnosticity in Plotly.py, Hooks in Dash, and more, as well as enabling Dash and Studio app hosting with Plotly Cloud. Nathan previously managed Plotly’s Professional Services team, where he led the the team to create mission-critical data apps for global clients.
Erik Moore
As Senior Product Manager at Plotly, Erik Moore sets the strategic direction for Dash Enterprise, guiding the platform’s evolution to meet the needs of enterprise customers. He works at the intersection of product, engineering, and customer success to shape a roadmap that balances innovation with reliability. With a background as a software developer, Erik brings technical depth and hands-on experience in data visualization and enterprise-grade, customer-hosted solutions.
Mingo Sanchez
Mingo Sanchez is a Senior Sales Engineer at Plotly. After graduating from Bowdoin College with a degree in computer science, he started working with organizations in the master data management and data science spaces. Throughout his career, Mingo has partnered with large financial institutions, life sciences organizations, retail companies, and government agencies to help them better understand their data and more effectively serve their customers. Mingo enjoys building relationships with people to understand their pain points and help them solve their most challenging business and technical problems.
John Allwright
John Allwright is Director of Product Marketing at Plotly, where he leads go-to-market strategy for Plotly Studio and champions the emerging "Vibe Analytics" category, bringing AI code generation to data analytics. With over 12 years marketing developer platforms and AI-powered products at Microsoft, Pivotal, VMware, and data platform startups including Astronomer (Apache Airflow) and Decodable (Apache Flink), John helps technical teams adopt transformative technologies. As a former developer turned marketer, he understands the real-world challenges data practitioners face when building analytics solutions.