Fleet-Wide Remediation: Resolving Issues Across Thousands of Devices at Once
When the same issue affects multiple devices simultaneously – a common scenario in industrial IoT where devices share firmware, configurations, or network conditions – Daployi’s batch execution capability means you can select all affected devices, run a remediation script or deploy a corrected template, and resolve the issue across all of them in a single action. What would otherwise require logging into each device individually becomes a task that takes seconds, regardless of fleet size.
Real-Time Monitoring and Proactive Alerting
Daployi provides live CPU, memory, disk, and network telemetry for every registered device, along with uptime monitoring and a process viewer.
Customisable alerts for device state changes, container failures, and resource threshold breaches are delivered directly to Slack, Discord, Google Chat, or any webhook endpoint – so engineering teams are notified the moment something goes wrong, before it escalates.
Secure Credential Handling for Edge Hardware
In industrial environments, edge devices can be physically accessible to third parties or even stolen. Daployi’s memory-based credential system ensures that container registry credentials are never written to device storage. Credentials are encrypted on the Daployi server, passed to the device strictly in-memory during deployment, and flushed immediately after the image pull completes. Even if a device is physically compromised, your code repositories remain secure.
Connectivity: Designed for Unstable and Cellular Networks
The Daployi agent initiates outbound connections to the server – devices do not require inbound ports to be open and work through standard network connections including cellular SIM cards. Deployments and script executions can be queued and applied when connectivity is restored, making Daployi well suited to remote environments where network reliability cannot be guaranteed.
Supported Hardware
Daployi works with any Linux-based host running Docker or Podman, covering a wide range of industrial hardware – from standard industrial gateways and IIoT controllers to Raspberry Pi-based edge nodes and remote monitoring hardware. If the device runs Linux and a supported container runtime, it can be managed through Daployi.