Real-World Edge Computing
Scale, secure, and succeed in the realm of edge computing with Open Horizon
SGCreated by Robert High, Sanjeev Gupta
Discover how to manage and scale AI and machine learning workloads at the edge using Open Horizon. Learn to address the unique challenges of edge computing and gain practical skills for deploying robust solutions in real-world environments. Develop the confidence to navigate and optimize edge projects from planning to production.
Packt | Jun 2024 | 296 min
What You Will Learn
You will start by exploring the core principles behind edge computing and its key differences from traditional cloud approaches. Through practical, step-by-step examples, you will use Open Horizon to build, deploy, and troubleshoot edge solutions. Real-world scenarios and code samples will help you apply these skills to your own projects.
Key Features
- Deploy and manage AI and ML workloads on edge devices using Open Horizon
- Identify and resolve common challenges that can impact edge computing projects
- Apply best practices for scaling, securing, and maintaining edge solutions
Target Audience
Ideal for software engineers and DevOps professionals who are working with or planning to implement edge computing solutions. If you want to deepen your understanding of edge deployments, overcome common pitfalls, and ensure your projects are scalable and secure, you will find actionable guidance and strategies here.
