Purpose: Show an exemplary horizontal solution blueprint for IoT Edge use cases applicable to different verticals.
This project is built and maintained by a group of solution architects at Red Hat. It originated from SAs responsible for diverse manufacturing customers in Germany and has grown to include other verticals as well.
Your feedback is welcome - enter your feedback, issues, and enhancement requests here.
Attention: This is the upstream community development project of the Red Hat Validated Pattern for Industrial Edge. If you are looking for the Validated Pattern, please switch over to docs and repo.
- You have little time to waste? Check out the QUICKSTART.
- You want to understand the concepts behind MANUela? Check out the Concepts.
- You want to set up a new demo environment from scratch? Check out the BOOTSTRAP.
You want to run the demo on an existing environment? Check out the individual horizontal modules below. Each module is independent of the others, i.e. only this module or any combination can be shown. Some modules also have different paths, e.g fast-path just briefly introducing the topic, or the deep-dive path really going to the bottom of things.
- GitOps app deployment preparation - demo execution
- GitOps configuration management preparation - demo execution
- Code change preparation - demo execution
- CI/CD pipeline & GitOps staging preparation - demo execution
- Event streaming from edge to core & filling the data lake preparation - demo execution
- Machine learning preparation - demo execution
- Infrastructure operator development preparation - demo execution
- Enterprise Container preparation - demo execution
- Multi Cluster Management preparation - demo execution
- Machine Learning in a Public Cloud on Red Hat OpenShift Data Science (RHODS)
- Mirror factory runtime data to the pubic cloud with Red Hat OpenShift Streams for Apache Kafka
- TODO: GitOps for large scale manufacturing
- TODO: Agile software development for industry production systems
Everyone who needs to showcase IoT Edge use cases for the various verticals. New modules or enhancements to existing ones are always welcome. The idea is to have a lot of modules / topics covered by an integrated, holistic story line. You could do a single demo with all topics, but that will probably last a day. You always can pick just the topics that are relevant to your current situation and perform only these parts of the demo. While you can setup your own demo environment, you can always ask the MANUela team if you could use their existing environment (aka stormshift).
- How to handle multiple clusters - from central datacenter via remote edge (e.g. factory sites) to far edge (single devices)
- GitOps - How to use this approach to keep in control of configuration and operations
- How to distribute workload across clusters?
- How to build and deploy workload across clusters using modern CI/CD
- How to move workload across clusters?
- IoT Edge
- See and experience Hybrid Cloud in action
- OpenShift Multi-Cluster Management
- IoT Data Ingest
- AI/ML- How to train models in the public cloud with data from the private cloud, and bring the executable model back to on prem.
- OpenShift V4
- OpenShift Container Storage V4
- AMQ (MQTT Message broker)
- AMQ Streams (Kafka Event Broker)
- Camel-K Integrations
- Tekton Pipelines
- ArgoCD for GitOps
- Code Ready Workspaces (Development Environment)
- Red Hat Virtualization (Optional, to provide multiple clusters)
- Open Data Hub for machine learning use cases
- cloud.redhat.com as preview to multi cluster management capabilities
- Runtimes, esp. Quarkus, NodeJS....
CAVEAT: Some of the technologies involved are bleeding edge, and so implementation details might change if a better tool is found for a particular purpose.
There is some strange German humor behind the scenes, which neither the author of this text nor other reviewers are able to explain.
There are also further MANUela-linked projects for GitOps, ArgoCD and some demo apps to be deployed within the demo. You can check them out in this Github directory https://github.com/sa-mw-dach .