Maps and Globe

Four geographic views, all driven by the same aggregation engine as the Sankey and Time-Series:

• Country map — countries connected by edges weighted by traffic
• State map — same, at state/province granularity
• City map — same, at city level (down to street-level granularity, depending on your GeoIP database)
• Globe — a 3D view of city-level connections rendered as arcs over the globe

Use these to spot geographic patterns at a glance — unexpected destinations, asymmetric traffic, CDN routing.

Country map with top-N pushed to 500, so practically every country with traffic shows up. Edge thickness is bandwidth aggregated per country pair.

How they work

For each map view, the dashboard:

1. Forces a specific aggregation. You don't pick group_by for these views — the view picks for you.
2. Runs the aggregation across your time range and filters.
3. Renders the top-N (25/50/100/200/500) results as edges on the map.
4. Same aggregation drives the side-panel list of countries / cities. The list and the map are two views of the same data.

The forced aggregations are:

View	Forced group-by
Country map	SRC_COUNTRY, DST_COUNTRY
State map	SRC_COUNTRY, SRC_GEO_STATE, DST_COUNTRY, DST_GEO_STATE
City map	SRC_COUNTRY, SRC_GEO_STATE, SRC_GEO_CITY, latitude, longitude (source + destination)
Globe	Same as city map

Edge width is proportional to your sort metric (bytes or packets). The geographic coordinates needed to draw cities and arcs come from the response itself — they're already enriched into each flow record by the time the dashboard renders. You don't need a separate city-coordinates database in the dashboard.

Country and state vs city / globe

The country map and state map can use the rollup tiers. They're cheap over long time windows.

The city map and the globe need raw-tier data. City, latitude, and longitude are dropped from the rollup tiers (1m / 5m / 1h) to keep cardinality manageable. So:

• Country / state map over the last 30 days — fine, uses the 1-hour tier.
• City map over the last 30 days — likely empty. Raw-tier retention defaults to its own 10GB / 7d limits; busy collectors often hit the raw-tier size cap before 7 days.

If your city map looks empty over a long window, try the country map first to confirm data is arriving, then narrow the time range until the city map fills in.

Tooltips

Hover over a country, state, city, or arc to see a tooltip. The tooltip shows the same fields as the underlying row — endpoints, byte and packet counts. Click does not drill down to a different view; the maps are read-only with respect to navigation. To change perspective (e.g., "show me traffic for this country only"), use the filter ribbon to add a SRC_COUNTRY or DST_COUNTRY selection.

State map with top-N at 500, zoomed over the US. The tooltip on the link between Attica (Greece) and California shows bidirectional traffic — bytes and packets in each direction.

City map with top-N at 500, zoomed over Europe. Dozens of European cities appear connected by edges weighted by bandwidth.

Globe view, top-N at 500, rotated over the Atlantic. The 3D projection shows US cities and EU cities at the curvy edges, with arcs (bandwidth-thickness) bridging them.

Things to know

GeoIP is required

Without a GeoIP database, country / state / city / coordinate fields are empty and the maps are blank. Native packages include a stock DB-IP database — see the DB-IP integration card and the Enrichment Intel Downloader. Source builds need the operator to run the downloader once.

CDN traffic shifts

Your traffic to a SaaS provider may resolve to one country today and another tomorrow because the CDN's routing changed. This is normal CDN behaviour, not a security incident. ASN-based aggregation is more stable for cloud / CDN traffic than country-based — see the Anti-patterns page "Geographic firewall of shame".

Bidirectional traffic on the map

Bidirectional traffic between two endpoints produces two separate flow records (one per direction) and renders as two distinct edges (A→B and B→A). The two directions are usually asymmetric in volume — for example, a download is large in one direction and small in the other. To see only one direction, filter on a specific source or destination.

Globe vs City Map

The globe and city map render the same data with the same table beneath. The 2D city map is best for precise comparisons within a continent. The 3D globe is best when distance and great-circle paths matter — transcontinental traffic, undersea cable corridors, intercontinental CDN routing. Pick the one that fits the question.

What controls are available

• Time range — Netdata's global time picker
• Filters — facet selections + autocomplete + full-text search
• Top-N — 25 / 50 / 100 / 200 / 500
• Sort by — bytes or packets (determines edge weight and the side-list ranking)
• Group-by — locked to the view-specific aggregation; not user-configurable for maps

Things that go wrong

• City map empty. Time range exceeds raw-tier retention. Narrow the range, or use country/state map for a wider view.
• Ireland or Singapore showing up unexpectedly. Probably AWS/GCP/Azure shifting CDN routing. ASN-based aggregation is more stable.
• A whole country disappears. Your filter excluded it. Check the filter ribbon.
• No data on globe but city map works. Both should fail or succeed identically — they consume the same response. If they diverge, that's a dashboard bug worth reporting.

What's next

• Enrichment — Order of evaluation and the MMDB shared mechanism that drives geographic visualisation.
• DB-IP integration card — The default GeoIP source that ships with Netdata.
• Static Metadata integration card — Declare your internal networks to override GeoIP for RFC 1918.
• Filters and Facets — Narrowing geographic views.
• Anti-patterns — Why "alert on traffic to country X" is fragile.