‘Edge’ (as in Edge Computing) is being used to describe lots of different architectures, sizes, and use cases, from a Raspberry Pi gathering IoT devices’ data to a private data center localised near the end-users. How to define a strong edge strategy?
This whitepaper does not target any specific industry; instead, it sets a modular framework to explore critical aspects of a winning edge strategy. While it covers some innovative examples by sectors – from telco to manufacturing and retail – the starting point is a generic analysis of edge computing constraints and advantages. The whitepaper defines MicroClouds, a new class of infrastructure, as a composable and flexible solution to future-proof any edge computing deployment.
Edge computing isn’t a solution; it’s a topology describing geographically distributed compute. MicroClouds are an edge computing solution. They trade the exponential scalability of public and private clouds for the security, privacy, governance, and low latency of decentralised environments. They reproduce the APIs and primitives of the big clouds at the scale of the edge: tiny clusters replicated over thousands of sites.
This paper explains how MicroClouds can meet your initial use-case requirements and easily cope with future use-cases without having to retool or redeploy.
In this whitepaper, we:
- Discuss the challenges associated with edge computing
- Analyse the constraints, challenges, and benefits of edge computing and how MicroClouds can address these
- Propose the MicroCloud architecture as a modular edge computing infrastructure composed of recognised technologies
- Assist with defining a successful and future-proof edge strategy with open-source MicroClouds
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