Manage, deploy, observe edge workloads from a single k8s instance.
Project Flotta is designed to manage containerized workload on small-footprint devices found on the edges of networks by managing the lifecycle of edge-focused operating systems and securing connectivity between K8s/OCP and the edge.
Flotta provides a pipeline for operating system images across ARM and x86 architectures and enables atomic upgrades and rollbacks of an edge-focused operating system, while maintaining a minimal footprint. Because edge computing networks have the potential for instability, Flotta can provide continuity when connectivity is sporadic or down for long periods of time.
Enhanced edge observability is also provided through improved metrics and log collection capabilities.
Manage Operating system lifecycle using RPM ostree technology and manage the current state of the device.
Get any information on the workloads running in the Edgedevice and export it to a central Prometheus instance with limited bandwidth, at the same time export all logs to a central device in case it’s needed.
All devices have their own identity managed by X509 certificates and all communication with the Flotta Edge API is secured by MTLS connection, which also managed the device approval to enrol into the fleet.
Flotta device is a lightweight daemon that is able to run on disconnected environments or not reliable networks, also managed to limit the control-plane bandwidth.
Upload any data produced by your workload to a centralized location from all of your devices
Execute Ansible playbooks on specific subset of Flotta devices and check their execution status
There may be cases in which you would like to be able to execute a scripts or commands in a device or on a group of devices. For example, in...
Read MoreEdge Example App is an app for Flotta Edge devices, with a workload that will be deployed on the device that has two main features: Sensing the Internet (which helps...
Read MoreEdge Example App is an app for Flotta Edge devices, with a workload that will be deployed on the device that has two main features:
Read More