Area | Description | Example (Wind Farm) |
---|---|---|
Configure | Set up core features using out-of-the-box capabilities configured to your use-case. | Define turbine hierarchies, connect sensor telemetry, select standard risk models for failure mechanisms. |
Extend | Customize or expand Reliability to fit specialized operational needs beyond the defaults. | Build a custom “blade icing” risk model, or create a new health indicator based on vibration harmonics. |
Maintain | Keep your Reliability instance aligned with changes in the real world over time. | Retrain models after seasonal shifts, update turbine metadata after maintenance retrofits, adjust alert thresholds as operating conditions evolve. |
Tool | When to Use | Why to Use |
---|---|---|
VSCode Extension | When building application code that needs to be versioned, deployed, and maintained. | Use VSCode for any change that should persist over time, be tracked through source control, and follow a formal build and deployment cycle. For users coding in this environment, it helps to have preliminary knowledge in C3 package structure, which automates aspects of application development |
JupyterLab | When experimenting with data, models, or logic before formalizing changes. | Use JupyterLab for rapid prototyping and testing. It’s ideal for exploring ideas that may later be promoted into artifact code. We also have Jupyter Notebook tutorials that guide you through Reliability usage and data analysis. |
C3 Console | When executing single methods, inspecting data, or manipulating objects live. | Use Console for quick operational tasks and small adjustments that don’t yet need full application packaging or deployment. |
Reliability Application UI | When managing assets, models, telemetry, and alerts using guided workflows. | Use the application UI for structured operational updates that are supported out of the box — no coding or backend object manipulation required. |