# Edge Computing for Enterprise: Processing Data Where It Matters
The factory floor generates gigabytes of sensor data every minute. Sending all of it to the cloud for processing takes time and bandwidth. Decisions that need to happen in milliseconds cannot wait for round trips to distant data centres.
Edge computing moves processing closer to data sources. Compute resources at or near the point of data generation handle time-sensitive operations locally.
## Understanding Edge Computing
Edge computing is an architecture pattern, not a specific technology. Processing happens somewhere between data sources and centralised clouds.
**Device edge** runs on or adjacent to sensors and endpoints. Gateways and industrial controllers provide local compute.
**Near edge** places compute in local facilities. Data centres and regional deployments provide more capacity.
**Far edge** uses cloud provider edge locations. AWS Outposts, Azure Stack extend cloud capabilities.
## Why Edge Computing Matters
**Latency** drives many edge deployments. Some applications cannot tolerate cloud round-trip delays.
**Bandwidth costs** favour local processing. Processing locally and sending only results reduces transmission costs.
**Reliability** improves with local processing. Internet connectivity interruptions do not stop edge operations.
## Enterprise Use Cases
**Manufacturing** deploys edge computing extensively. Quality inspection, predictive maintenance, and process optimisation all benefit.
**Retail** uses edge for in-store experiences. Computer vision for inventory tracking and loss prevention.
**Healthcare** benefits from edge in various settings. Medical imaging analysis and patient monitoring require reliable, fast processing.
## Architecture Patterns
**Hierarchical processing** distributes work appropriately. Device edge handles immediate responses. Near edge provides more sophisticated processing. Cloud performs analytics.
**Machine learning inference at the edge** uses models trained centrally. Cloud resources train models. Edge locations run inference locally.
If your organisation is exploring edge computing, contact us through our contact page.
## Edge Use Cases That Actually Deliver ROI
Edge is valuable when latency, bandwidth, or resilience make cloud-only impractical:
- industrial control and OT environments,
- retail sites with unreliable WAN links,
- video analytics and computer vision,
- and local data sovereignty constraints.
## Operating the Edge Fleet
The hard part is lifecycle management at scale:
- standardised images,
- remote patching,
- secure device identity,
- and central observability.
If you cannot patch it, do not deploy it. Treat edge nodes like cattle, not pets.
## Edge Use Cases That Actually Deliver ROI
Edge is valuable when latency, bandwidth, or resilience make cloud-only impractical:
- industrial control and OT environments,
- retail sites with unreliable WAN links,
- video analytics and computer vision,
- and local data sovereignty constraints.
## Operating the Edge Fleet
The hard part is lifecycle management at scale:
- standardised images,
- remote patching,
- secure device identity,
- and central observability.
If you cannot patch it, do not deploy it. Treat edge nodes like cattle, not pets.