by Grant Udstrand | at Minnebar 19
Cloud computing has dominated the conversation for years, but latency, bandwidth constraints, and data privacy concerns are driving industries toward a new frontier: Edge Computing.
This session will explore: • What is Edge Computing? (And why it’s not just “mini cloud”) • Real-world use cases across manufacturing, IoT, and AI/ML at the edge • Challenges & trade-offs of computing outside the data center • How to design an effective Edge architecture
We’ll dive into the practical aspects of developing, deploying, and securing applications at the edge, touching on IoT, real-time data processing, containerization, and security best practices.
Expect a highly interactive discussion, real-world examples, and insights from hands-on experience in deploying Edge solutions. Whether you’re an engineer, architect, or just edge-curious—this session will leave you with a strong foundation in Edge Computing and where it’s headed next.
Who Should Attend? • Software engineers, architects, and IoT enthusiasts • Anyone working with real-time systems, low-latency applications, or industrial IoT • Those considering when (or if) Edge Computing makes sense for their projects
Takeaways:
✅ Understand why and when Edge makes sense over Cloud ✅ Learn best practices for building and securing Edge applications ✅ Get hands-on insights into deploying Edge solutions in real-world environments
Let’s push compute closer to the action and discuss the future of intelligent, decentralized systems! 🚀
Grant Udstrand is a Software Architect and Edge Computing Specialist with a passion for designing low-latency, high-performance systems that bridge the gap between the cloud and the physical world. With deep expertise in IoT, real-time data processing, and distributed systems, Grant has spent his career building and optimizing edge-first architectures that power industrial automation, smart devices, and mission-critical applications.
Currently working in embedded and edge computing, Grant helps organizations deploy scalable, secure, and intelligent solutions that process data where it matters most—at the edge. He is an advocate for containerized deployments, real-time telemetry, and AI-driven insights in Edge ecosystems.
Beyond his technical expertise, Grant is passionate about mentoring engineers, fostering innovation, and demystifying Edge Computing for developers, architects, and decision-makers. When he’s not architecting next-gen computing systems, you’ll find him exploring emerging technologies or engaging in hands-on projects with hardware and IoT devices.
💡 Talk to me about: Edge Computing, IoT, Go, AI at the Edge, and real-time systems.
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