Scale write throughput across data-shard groups while keeping a single unified
read surface:
- scatter_gather.rs: pooled fan-out across shard groups (replaces per-request
client construction); cross-shard query results merged on one node
- cluster/node.rs: cross-shard read routing — a read on any node gathers from
every shard group's leader and unions results
- cluster/forward.rs: fix h2 204 forward-relay bug (relay_forwarded skips body
for 1xx/204/304 — synthesized JSON body on a 204 triggered HTTP/2 RST_STREAM
on the real mTLS plane)
- dto.rs: cross-shard query/result DTOs
- k8s/cluster/: enable 3-group `shards:` topology (statefulset, service-peers,
topology-configmap)
- k8s/cluster-local-kind/: local-kind overlay to run the T5 gate without Ref-A
- tidal-stress/k8s/stress-job-t5.yaml: 2-generator sharded throughput job
- tests: cluster_cross_shard_reads.rs + multiproc support; ran real on kind
- docs/profiling/m12p4-t5-sharded-throughput.md: T5 throughput findings
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