This path is for operations managers, plant supervisors, and anyone who needs to monitor equipment and respond to issues without configuring the underlying infrastructure. By the end, you will be able to read the Operations Center, create dashboards, manage alerts, and diagnose common issues.
What You Will Be Able To Do
- Use the Operations Center to assess platform health at a glance
- Create dashboards with gauges, charts, and data tables
- Respond to alerts and understand what triggered them
- Read data quality scores to detect failing sensors
- Use basic troubleshooting steps to report issues accurately
Estimated time: 1.5–2 hours
Prerequisites
- Proxus is running with at least one device sending data
- You have a user account with dashboard and monitoring access
- Your admin has configured at least one notification channel (email, webhook)
Step-by-Step Path
See the big picture (10 min)
- Introduction to Proxus — What the platform does and the key capabilities.
Focus on the Platform Capabilities section. You do not need to understand the technical architecture in detail, but it helps to know that data flows from machines through Gateways to the Central Server.
Learn the Operations Center (20 min)
This is your primary tool. It shows everything in one place.
- Operations Center — Signal Insights, KPIs, Recommended Actions, and Data Flow Topology.
Focus on these Signal Insights and what they mean for your daily work:
| Insight | What It Tells You | When To Act |
|---|---|---|
| System Risk | Overall platform stability | Score drops below 70% |
| Data Freshness | How current the data is | Any device above 2 min staleness |
| Connectivity | Gateway and device online/offline | Any gateway disconnected |
| Action Queue | Prioritized list of things to fix | Always review this first |
| Event Lag | Network and pipeline delays | Sustained lag above 5 seconds |
| Log Pulse | Recent error volume | Error spike in the last 60 seconds |
Create your first dashboard (25 min)
- Creating Dashboards — Dashboard designer, widget types, and data binding.
Hands-on exercise: Create a dashboard with:
- A Gauge showing current Temperature
- A Chart showing Temperature trend over the last hour
- A State Indicator showing device Online/Offline status
You will need to write a simple ClickHouse SQL query. Example:
SELECT avg(Value) as Temperature
FROM DeviceRawData
WHERE TagName = 'Temperature'
AND Time > now() - INTERVAL 1 HOURQuery historical data (15 min)
- Data Query Studio — Write and test ClickHouse SQL queries in the browser.
Useful queries to try:
- Average values per hour
- Maximum and minimum values over a period
- Count of readings per device per day
Understand alerts and actions (15 min)
- Alerts — How alerts are triggered and where they appear.
- Notifications — Email, webhook, and messaging channel setup.
After reading: You should know where to find active alerts in the UI and how to acknowledge or dismiss them.
Read data quality scores (10 min)
- Data Quality & Metrics — The 5 dimensions and what each score means.
- Device Details — Where to find per-device diagnostics.
Key question: If a device shows 100% Accuracy but 40% Freshness, what does that likely mean?
Answer: The device was reading correctly when it was connected, but it has not sent new data in over an hour. Check gateway connectivity first.
Basic troubleshooting (15 min)
When something is wrong, follow this sequence:
- Troubleshooting Overview — Quick links and general diagnostics.
- Dashboard Issues — Widgets showing "No Data" or slow refresh.
- Data Flow Problems — Data missing, delayed, or not reaching dashboards.
Bookmark these pages. They are your first stop when creating a support ticket.