The Lander Lens: Fast, Secure & Scalable Internal Apps (Part 2)

In this Lander Lens webinar, we continue our conversation on how organizations can build fast, secure and scalable internal applications without turning every useful tool into a major engineering project. In Part 2, we focus on practical deployment patterns for Python-based internal apps using ShinyProxy. The goal is simple: help teams move from a working prototype to an application that can be shared, secured, maintained and scaled inside the organization. We cover the pieces that matter once an internal app starts being used by real people: deployment, containers, authentication, permissions, infrastructure, repeatability and long-term ownership. The demo is only part of the work. The larger question is how to make these tools reliable enough for teams to depend on. This session is useful for data scientists, analysts, engineering leaders and business teams who are building internal tools with Python and want a cleaner path from prototype to production. Learn more about Lander Analytics: landeranalytics.com Subscribe for more conversations on data science, AI, analytics engineering and production-ready internal tools