- IBM booth demos:
- Workload runtime security (OH + KubeArmor + ???)
- Application-centric connectivity (OH + Skupper + ???)
- ML deployment automation (OH + TinyLlama? or Yolo v8 or v9?)
- LF Edge booth demos:
- Handsfree device onboarding (OH + FDO + LF Edge Sandbox + Project EVE)
- Realtime workload metrics (OH + EdgeLake + Grafana + optionally KubeArmor)
- Dynamic runtime secrets binding (OpenBao with Open Horizon)
Workload runtime security
Demo landing page link: Reduce attack surfaces on your edge nodes and workloads
Value prop: Secure and harden your edge solutions using Security-by-default principles and active mitigation measures from Days 0 - N.
Owner: Prashant and Sanjeev Gupta
Todo: Review Prashant's demo and determine scenario alignment with ONE Summit objectives
Adopters: (feature sponsor: Mainsail - Falcon Tactical Edge)
Story:
- How do we stop, not just detect. Not post-detect strategies but active mitigation. Ex. application without hardening has these misconfigurations/access. KubeArmor will sandbox the application behavior to only allow the specified behavior and nothing else.
- Multiple applications on a device. If one is compromised, the blast radius could impact other running containers. How do you isolate the workloads to limit the blast radius.
- Specific use cases for Vault
- ORRA Kamakura demo showing addition of KubeArmor to the running application to enforce network micro-segmentation
Application-centric connectivity
Demo landing page link: Provide application-centric and -directed connectivity
Value-prop: Quickly connect deployed applications with remote resources in any location. Align distributed application connectivity with the applications themselves so both can be deployed and managed together by the same team.
Owner: Jeff Lu and Sanjeev Gupta?
Todo: Create Skupper service and show how to connect a distributed application to its remote services. Linux host to start, then Kubernetes example?
Adopters: IBM Hybrid Cloud Mesh with Red Hat Service Interconnect
ML deployment automation
Demo landing page link: Dynamic ML association/placement/delivery/bi-directional sync
Value prop: Associate ML models with the applications that use them while allowing independent delivery and lifecycle management of each. Separate teams typically develop and maintain ML assets and their consuming applications. Why force the assets and applications to be deployed together by the same pipelines?
Owner: Jeff Lu
Todo: Determine which models/framework to show, how to update?
Adopters:
Handsfree device onboarding
Demo landing page link: Zero-touch device onboarding with FDO is a reality
Value prop: Use Open Horizon to host your FDO vouchers and device profiles for a complete FDO onboarding hosting service
Owner: Randy and Maxey?
Todo: Find and purchase FDO-enabled hardware.
Update: Brad Pagen from Advantech has reached out and is interested in participating, thanks Randall F Templeton
Adopters: would Zededa be a potential adopter?
Proposed flow:
Realtime workload metrics
Demo landing page link: Use EdgeLake to access any edge data on-demand from anywhere
Pain points from transferring/streaming data to a central location for aggregation and insights generation:
- introduces latency before action can be taken in response
- may violate data privacy/sovereignty
- incurs overhead costs for managing, storing, maintaining
- assumes you know in advance what data is needed
- reduces flexibility and agility since change takes weeks or more to implement and may not include previous data
Value prop: Anylog can surface your edge data without the expense of moving it to a centralized location, thus reducing costs and providing insights more quickly. And Open Horizon can automate the deployment and management of EdgeLake on your edge nodes.
Owner: Ori Shadmon and Troy Fine
Todo: Create Grafana service and then incorporate as data dashboard.
Adopters: (feature sponsor: NS1)
Dynamic runtime secrets binding
Demo landing page link: OpenBao is approaching Alpha release and becoming an independent project
Value prop: Open Horizon uses OpenBao for dynamic runtime secrets binding with containerized workloads on both bare Linux hosts and in Kubernetes clusters.
Owner: Nathan Phelps and Troy Fine
Todo: Get AIO using OpenBao, then demonstrate Hello Secrets World
Adopters: IBM Edge Application Manager, IBM Hybrid Cloud Mesh
Demo details:
- Create a secret in the OpenBao secrets manager named hw-secret-name
- Register an edge node with the helloSecretWorld example service
- Show the "<your-node-id> says: Hello <secret-value>!" output of the service in a separate terminal updating every 5 seconds ("<secret-value>" here is the contents of the hw-secret-name secret)
- Update the hw-secret-name secret with a new value "<new-secret-value>"
- A few seconds later in the still open terminal window being updated live with the service output, observe the output change to "<your-node-id> says: Hello <new-secret-value>!"