- create MonitoringCheck schema for the monitoring_checks table, fixing
silent data loss where ping results were dropped by the wrong schema
- update agent channel and device monitor worker to use new schema
- fix Stats queries to use MonitoringCheck instead of Check schema
- add list_online_cloud_pollers and list_cloud_polled_devices queries
- add CloudLatencyProbeWorker to dispatch cross-agent latency probes
every 8 hours via PubSub to all online cloud pollers
- scope AgentLatencyEvaluator to cloud pollers only with cloud_only
filter, lower min_checks (5), wider time window (48h), and
device-level assignments to avoid changing site/org defaults
- update cron schedule: probes at 0/8/16h, evaluation at 0:30/8:30/16:30
- refactor monitoring.ex and http_executor.ex to fix credo complexity
- Add 'Checks' tab link to device navigation
- Display empty state when no checks configured
- Add tests for tab visibility and empty state
- Fix unused variable warnings in monitoring context
- Remove unused CheckResult alias and module attributes
- Add stub for legacy get_latency_data for backward compatibility
Tests: 2 new tests added, all passing
Following TDD: RED-GREEN cycle verified for each feature
Enhanced AgentChannel logging to track device IDs across job list updates.
Added tests verifying server correctly excludes deleted devices from job lists.
Root cause: Bug is in Go agent (appends jobs without clearing), not Phoenix server.
Implements Icinga2-style generic check system for comprehensive monitoring.
Phoenix Backend:
- Generic checks table with JSONB config for all check types
- TimescaleDB check_results hypertable for time-series data
- Check executors (HTTP, TCP, DNS)
- CheckWorker with self-scheduling and state transitions
- Extended alerts system for check-based alerting
Check Types: HTTP/HTTPS, TCP, DNS
Architecture: Icinga2 Checkable pattern, soft/hard states, flapping detection
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Build a rich network topology from SNMP polling data using evidence-based
confidence scoring. LLDP/CDP neighbors, MAC address tables, and ARP data
are combined to infer device links with weighted confidence merging.
- Add DeviceLink and DeviceLinkEvidence schemas for persistent topology
- Implement evidence collectors: LLDP (0.95), CDP (0.95), MAC (0.7), ARP (0.6)
- Add device role inference from sysObjectID/sysDescr patterns
- Hook topology inference into DevicePollerWorker pipeline
- Add stale link cleanup (24h mark stale, 72h delete) via NeighborCleanupWorker
- Update NetworkMapLive with "Added" vs "All Devices" tabs
- Add connected devices section to device detail page
- Add device role selector to device edit form
- Update Cytoscape.js with role-based node shapes/colors and confidence edges
push_patch without replace: true created a history entry loop:
/devices/:id → /devices/:id?tab=overview, so hitting back would
immediately redirect forward again, trapping the user.
Infers device roles from LLDP/CDP capabilities, interface count,
vendor/manufacturer, and system description. Only overwrites
inferred roles, never manual overrides. Wired into process_device
pipeline.
Orchestrates evidence collection from LLDP, CDP, MAC, and ARP
data. Groups evidence by remote device, resolves to managed
devices, upserts links with merged confidence. Broadcasts
topology changes via PubSub. Skips self-links.
LLDP/CDP evidence (0.95 confidence) from snmp_neighbors.
MAC evidence (0.7) cross-references MAC tables with device
interface MACs. ARP evidence (0.6) matches by IP and MAC.
Self-links excluded. Unmatched entries tracked as discovered.
The plug was attempting to register a before_send callback after
blocking a banned IP and sending a 403 response. This caused
Plug.Conn.AlreadySentError in production.
Fixed by checking conn.halted before attempting to register the
404 tracking callback. If the request was already blocked and sent,
we skip the callback registration.
Also updated the test to verify proper behavior without the
workaround for AlreadySentError.
Ecto schemas for persistent topology model. DeviceLink tracks
connections between devices with confidence scores. DeviceLinkEvidence
records why each link is believed to exist. Device schema gets
device_role and device_role_source fields.
Filter port_died and write_failed/epipe errors from Honeybadger reports,
email notifications, and logs. Reorder supervision tree so Oban drains
before its dependencies shut down, and add 40s shutdown grace period.
Phase 3 audit found screenos.yaml detection profile was not registered
in the Juniper vendor module. Added to profile_names list.
ScreenOS is Juniper's legacy firewall operating system (pre-Junos).
Coverage: 5 Juniper profiles now registered
- juniper-mss
- juniperex2500os
- junos
- junose
- screenos (newly added)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Always broadcast from update_device_status/2 so the device index
LiveView refreshes even when status hasn't changed. Add a 15-second
tick timer to keep "Last Checked" timestamps fresh between polls.
Scope alert PubSub topics to organization for defense-in-depth.
Updated priv/static/changelog.txt with all recent changes from CHANGELOG.txt
in concise, user-facing format. Enhanced CLAUDE.md to document the dual
changelog system (technical CHANGELOG.txt vs user-facing priv/static/changelog.txt)
with clear guidelines on what to include in each and when to update them.
Add a Honeybadger NoticeFilter that sends an email with the full
error class, message, stacktrace, and server info to graham@mcintire.me
whenever an exception is reported. The notice passes through unchanged
so Honeybadger still receives it normally.
Replace individual Repo.insert() with Repo.insert_all() for sensor readings,
interface stats, processor readings, and storage readings in agent channel and
device poller worker. Add partial/composite database indexes for common query
patterns. Dashboard now uses GROUP BY aggregation instead of loading all devices.
DeviceLive.Show only reloads data for the active tab on PubSub events.
DeviceLive.Index debounces status changes and skips quota queries on updates.
Agent polling preloads filtered to monitored sensors/interfaces only.
Reduced file size by 62% while preserving all critical information:
- Simplified data model diagram to hierarchical text format
- Removed verbose code examples, keeping essential patterns
- Condensed sections while retaining actionable information
- Streamlined Custom Ecto Types, Browser Navigation, and Memory Leak sections
The condensed version maintains all necessary guidance for AI assistants
working on the project without overwhelming the context window.
