3.5 KiB
| project | type | status | tags | created | updated | path | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| pbs-memory-dashboard | tech-setup | active |
|
2026-04-05 | 2026-04-05 | PBS/Tech/Projects/ |
PBS Memory Dashboard - Streamlit Spec
Overview
Add a memory monitoring page to the existing PBS Streamlit dashboard (running inside pbs-api container). The page parses the host memory log file mounted into the container and renders interactive charts showing per-container memory usage over time.
Data Source
Log file path inside container: /var/log/pbs-monitoring/container-memory.log
Log format (one line per 5-minute interval): 2026-04-05 18:20:01 UTC | n8n:331.8MiB / 3.824GiB gitea:90.55MiB / 3.824GiB pbs-api:63.91MiB / 512MiB wordpress:501.6MiB / 1.953GiB traefik:43.43MiB / 3.824GiB portainer:14.03MiB / 2GiB redis:12.4MiB / 640MiB wordpress_phpmyadmin:61.03MiB / 3.824GiB wordpress_mysql:419.9MiB / 768MiB wpcron:8.371MiB / 3.824GiB uptime-kuma:100.7MiB / 3.824GiB
Parsing notes:
- Split on " | " to get timestamp and container data
- Timestamp format: "%Y-%m-%d %H:%M:%S UTC"
- Each container entry format: name:usedMiB / limitGiB (or MiB)
- Convert all memory values to MiB for consistency:
- If value ends in MiB: use as-is
- If value ends in GiB: multiply by 1024
- Calculate usage percentage: (used / limit) * 100
Known containers to parse: n8n, gitea, pbs-api, wordpress, traefik, portainer, redis, wordpress_phpmyadmin, wordpress_mysql, wpcron, uptime-kuma
Page Layout
Section 1: Summary Cards (top of page)
- One metric card per container showing:
- Current memory usage (MiB)
- Memory limit (MiB)
- Usage percentage
- Color code: green 80%
- Special attention containers (tighter limits):
- wordpress: limit 1.953GiB (2000MiB)
- wordpress_mysql: limit 768MiB
- redis: limit 640MiB
- pbs-api: limit 512MiB
Section 2: Time Series Chart
- Multi-line Plotly chart showing memory usage % over time
- X axis: timestamp
- Y axis: memory usage percentage (0-100%)
- One line per container, with legend
- Add horizontal reference lines at 50% (yellow) and 80% (red)
- Default time range: last 24 hours
- Add a time range selector: 6h, 24h, 7d, All
Section 3: Per-Container Drill Down
- Selectbox to choose a single container
- Show used MiB over time (not percentage) for that container
- Show a horizontal line at the memory limit for that container
Section 4: Raw Data Table
- Collapsible expander section
- Show the parsed DataFrame with columns: timestamp, container, used_mib, limit_mib, usage_pct
- Allow sorting by column
Sidebar Controls
- Time range selector (6h, 24h, 7d, All) — drives Sections 2 and 3
- Multi-select for containers to show/hide in the time series chart
- Auto-refresh toggle (refresh every 5 minutes using st.rerun)
Dependencies to Add (if not already present)
- plotly
- pandas
Both should be installed in the existing UV environment.
File Location
Add as a new page in the existing Streamlit multipage structure. Suggested filename: pages/memory_dashboard.py
Notes for Agent
- The log file is read-only mounted at the path above
- Parse the entire file fresh on each page load (file is not large)
- Use st.cache_data with a short TTL (300 seconds) to avoid re-parsing on every widget interaction
- Handle missing or malformed log lines gracefully with try/except
- The auto-refresh should only trigger if the toggle is enabled in the sidebar
...sent from Jenny & Travis