According to the IDC report, Enterprise and service provider spending on hardware, software, and services for edge solutions is forecast to continue rapid growth through 2025 when spending will reach roughly $274 billion. What’s driving this significant growth? The often competing demands of low-latency network connections, high-power computing and large storage requirements are driving innovations in edge hardware.
With the proliferation of sensors and huge volume of data on edge devices, the promise of sending all of this data back to the cloud for AI/ML analytics has far exceeded the capacity of both the network bandwidth and compute resources. However, by moving the workload to edge devices that contain increasingly powerful processing capabilities, this data can be processed locally and efficiently aggregated in the cloud, solving a whole new set of analysis, monitoring, and optimization scenarios. This also necessitates a DevOps approach to distribution that can scale to millions of edge devices, provide continuous and reliable updates, and provide security for a highly distributed network. Learn how to take your DevOps skillset and apply it to a new and challenging domain that is in need of the same human and technology best practices that help global organizations distribute software securely and continuously to self-hosted and cloud environments.
Stephen Chin is Vice President of Developer Relations at JFrog, author of Raspberry Pi with Java, The Definitive Guide to Modern Client Development, and Pro JavaFX Platform. He has keynoted numerous Java conferences around the world including Oracle Code One (formerly JavaOne), where he is an 8-time Rock Star Award recipient. Stephen is an avid motorcyclist who has done evangelism tours in Europe, Japan, and Brazil, interviewing hackers in their natural habitat.
Do check out this video where he talks about scaling DevOps to the Edge.