Edge
Compute and content delivery placed where your users and devices actually are — stores, factories, remote sites — for latency under 10ms. Runs local processing during a link outage and syncs back when the core connects. One policy for hundreds of locations.
Overview
Cloud services work well when the user is close to the region, but a manufacturing plant, retail store, or remote branch can be hundreds of milliseconds away — too far for real-time decisions. Edge computing places compute, storage, and processing capability close to users and devices, reducing latency from hundreds of milliseconds to single digits. Workloads are processed locally, with only the results or summaries sent to the central cloud. This saves bandwidth, improves response times, and keeps operations running when the wide-area link is degraded or unavailable.
Clevertek scopes every engagement to your environment — capacity, sites, compliance and support model — so you get a tailored plan rather than a fixed SKU. Pricing is quote-only, and our solutions architects will work through your requirements before any proposal.
Our approach
We design and deploy edge computing architectures that extend your cloud environment to the locations where data is generated and consumed. Edge nodes — from small single-board computers to full micro-data-centres — are deployed at retail sites, factory floors, branch offices, and remote facilities with local compute, storage, and application hosting. Workloads run locally with synchronisation to the central cloud when connectivity is available. We manage the full edge lifecycle: hardware selection, OS and runtime configuration, application deployment through centralised orchestration, monitoring and alerting, and remote management of the distributed fleet. Applications are deployed through the same CI/CD pipelines used for cloud workloads, with the orchestration layer handling distribution to hundreds or thousands of edge locations from a single control point.
Why work with us
Single-digit millisecond latency at the edge
Processing happens on-site, not in a remote region. Local compute delivers response times of 1-5 milliseconds for applications that would otherwise wait 50-300 ms for a cloud round trip.
Operates independently of WAN connectivity
Edge nodes run the application locally when the WAN link is degraded or unavailable. Store-and-forward synchronisation catches up when connectivity returns — no downtime from WAN outages.
Centralised fleet management
Hundreds or thousands of edge nodes are managed from a single orchestration console. Applications, configurations, and security updates are deployed to the entire fleet with one operation.
Bandwidth reduction through local processing
Raw data — video feeds, sensor streams, log files — is processed at the edge. Only the relevant results, alerts, or aggregates are sent to the cloud, reducing bandwidth consumption by 80-95%.
Consistent application deployment model
Edge applications are deployed through the same CI/CD pipelines and container orchestration used for cloud workloads. The same testing, security scanning, and deployment processes apply across all locations.
Hardware and form-factor flexibility
Edge nodes range from industrial-grade small-form-factor devices to full micro-data-centres with local storage and GPU acceleration. Hardware is selected to match the workload and environment — no single approach fits every edge use case.
Key benefits
What this solution delivers for your business.
Real-time application performance
Applications that require sub-10ms response times — industrial control, retail POS, video analytics — run locally instead of waiting for a cloud round trip. Performance is consistent regardless of WAN quality.
Reduced WAN bandwidth costs
Local processing reduces the volume of data sent to the cloud. Video feeds, sensor data, and log files are processed at the edge; only the resulting insights or alerts consume WAN bandwidth.
Business continuity during WAN outages
Edge nodes continue processing without WAN connectivity. Local operations — store checkout, factory production, branch banking — continue uninterrupted even when the central cloud is unreachable.
Simplified distributed operations
Centralised fleet management eliminates the operational overhead of managing hundreds of remote locations individually. Patching, configuration changes, and application updates are pushed to the entire fleet from one console.
Scalable deployment to hundreds of sites
The orchestration and deployment model scales from a single pilot site to hundreds or thousands of locations without proportional increase in operational effort. Each new site connects and receives its configuration automatically.
Data privacy and sovereignty support
Sensitive data — customer transactions, production data, personal information — stays on-site and is processed locally. Only anonymised or aggregated data leaves the edge location, supporting data residency requirements.
What's included
Part of this managed service.
Edge node deployment and configuration
Selection, provisioning, and configuration of edge hardware — from industrial gateways to micro-data-centres — with OS, runtime, and application stack pre-configured.
- Hardware selection matched to workload
- OS and runtime provisioning
- Container runtime configuration
- Network and connectivity setup
Centralised fleet orchestration
Single-pane-of-glass management for application deployment, configuration updates, security patching, and monitoring across all edge locations.
- Fleet-wide application deployment
- Configuration management and versioning
- Security patch rollout to all nodes
- Health monitoring and alerting
Local processing and store-and-forward
Workloads run locally with local storage and processing. Results are synchronised to the cloud when WAN connectivity is available.
- Local application execution
- Local data storage and processing
- Store-and-forward synchronisation
- Conflict resolution on reconnection
Edge-optimised application runtime
Lightweight, containerised runtime optimised for edge hardware constraints — limited CPU, memory, and storage — with the same API and deployment model as cloud workloads.
- Lightweight container runtime
- Resource-constrained optimisation
- Cloud-compatible API surface
- Offline-capable application design
Monitoring and observability for distributed fleet
Centralised monitoring of every edge node with metrics collection, log aggregation, and alerting — visibility into the entire distributed fleet from a single console.
- Per-node health metrics
- Centralised log aggregation
- Performance and utilisation dashboards
- Anomaly detection and alerting
Secure edge-to-cloud communication
Encrypted, authenticated communication between edge nodes and cloud with mutual TLS, certificate-based device identity, and network segmentation.
- mTLS encrypted communication
- Certificate-based device authentication
- Network segmentation per node
- Secure boot and firmware verification
Where it helps
Real-world scenarios where this solution delivers measurable outcomes.
Retail store operations with intermittent connectivity
Deploy edge nodes at retail stores to run POS, inventory management, and CCTV analytics locally. Transactions and inventory updates synchronise to the central cloud when the WAN link is available — store operations continue during WAN outages.
Factory-floor real-time quality inspection
Process camera feeds from production line inspection stations at the edge using GPU-accelerated vision models. Defects are detected in milliseconds on-site; only defect images and aggregate statistics are sent to the cloud.
Branch office application performance
Deploy edge nodes at remote branch offices to host latency-sensitive applications — thin client sessions, file caching, and local authentication. Users experience local performance while policy and data synchronise with the central cloud.
IoT sensor data processing at scale
Process streaming data from hundreds of IoT sensors at the edge — filtering, aggregating, and analysing before sending only meaningful alerts and summary data to the cloud. Raw data volume is reduced by 90% or more.
Content distribution to remote locations
Cache and serve content — training videos, digital signage, application updates — from edge nodes at remote sites. Users get local-speed access, and WAN bandwidth usage for content delivery is eliminated.
Questions buyers actually ask
Is edge computing the same as a CDN?
A CDN caches static content at edge locations for faster content delivery. Edge computing runs application code, processes data, and makes decisions at the edge location. Many deployments combine both — a CDN for content delivery and edge compute for application logic.
Do we manage each edge node individually?
No. Edge nodes are managed as a fleet from a centralised orchestration console. Applications, configurations, and updates are deployed to the entire fleet or to groups of nodes with a single operation.
What happens when the WAN link to an edge node goes down?
Edge nodes are designed to operate independently during WAN outages. Local processing continues, data is stored locally, and synchronisation resumes automatically when connectivity is restored with conflict resolution for any concurrent changes.
What hardware is used for edge nodes?
Hardware ranges from industrial-grade single-board computers for lightweight workloads to full server-class systems with GPU acceleration for compute-intensive applications. We select hardware based on workload requirements, environment conditions, and cost constraints.
How many edge locations can be managed from a single console?
The fleet management platform scales to thousands of edge nodes from a single console. There is no practical limit on location count. Additional nodes are added through the same provisioning and deployment pipeline.
Ready to scope a solution?
Talk to a Clevertek solutions architect about your requirements — no obligation.