Same data.
More possibilities.
Logs are one example, not the product. Use zerocopy wherever several threads need local reads of large, versioned collections.
Investigate without stopping.
Search, chart, and inspect a shared event stream. Keep a stable investigation while new events arrive.
Read the pattern →Keep editing. Keep context.
Run validation, layout, or export against an earlier document snapshot while the UI accepts new edits.
Read the pattern →One table. Several views.
Filter, group, and chart the same rows in independent workers. Keep the UI focused on visible results.
Read the pattern →Keep a large catalog shared.
Build facets, filters, and availability views over a large changing catalog—not a shared cart counter.
Read the pattern →Traverse a stable graph.
Share nodes and edges with dependency analysis, layout, and diagnostics workers while the graph changes.
Read the pattern →Inspect a world in motion.
Let analysis and visualization read published world snapshots. Keep one writer per arena.
Read the pattern →Compare the use cases and alternatives →
These are implementation patterns, not customer testimonials or measured production case studies.