event publishedsocket connectedupdate never handled
silent gapVentStream began after the same problems surfaced across different teams: a socket could remain connected while updates stopped arriving, CDC could look easy until it had to survive production, and row-level changes could leave joined search views quietly stale.
The failures looked unrelated. The underlying problem was not. Critical guarantees lived between brokers, connectors, application code, sink APIs, and operational scripts, with no single place to explain what had happened.
Reliable socket programming becomes difficult when several application servers can publish and many clients expect live state. Between publish and the client handler sit a broker, consumer, operation matcher, send queue, and network connection. Any one of them can stop making progress while the socket still looks healthy.
Reconnects raise the next question: where should this client resume? Slow consumers need limits. Missed events need evidence. Logs must show whether an event was consumed, matched, queued, delivered, rejected, or dropped.
A server emits the domain event.
The broker hands it to the realtime runtime.
Subscriptions and tenant scope are resolved.
The client receives or resumes the event.
CONNECTEDtells you the transport is open. It does not tell you the application received, processed, or checkpointed the event.
Production CDC must establish a snapshot boundary, preserve source position, recover after restarts, absorb schema changes, retry downstream writes, maintain ordering, and remain inside a sustainable memory envelope.
Teams also pay for the surrounding system: connectors, brokers, state stores, monitoring, repair tooling, and operator time. The compromise is often stale data, manual recovery, or a pipeline that handles only the simplest tables.
The happy path fits on one line.
Correctness depends on everything around that line.
Operational search documents usually combine data from several tables, collections, or graph traversals. When a child changes, moving that row is not enough. The system must identify every affected parent, reread a consistent view, rebuild the projection, and protect the result from older in-flight work.
That is why join handling could not be treated as a mapping trick after capture. It had to be part of the CDC execution and recovery model.
VentStream puts CDC and realtime delivery in one engine because they share the same difficult operational concerns: recovery, ordering, backpressure, observability, configuration, and lifecycle.
Durable broker cursors and explicit resume behavior make reconnects a defined workflow instead of a hopeful retry.
A related-row change resolves affected parents and recomposes the read model that applications actually query.
External versioning prevents delayed work from overwriting or resurrecting a newer document.
Slow sinks and subscribers cannot be allowed to grow memory without limit or stall unrelated workloads.
Debug observability follows capture, composition, acknowledgement, matching, delivery, replay, and disconnect decisions.
Health, lifecycle commands, configuration revisions, and agent identity use the same operating model across environments.
VentStream does not make distributed systems simple by hiding them. It makes the important contracts explicit, keeps state bounded, and gives operators evidence when the system does not behave as expected.
Run the engine standalone beside your data, or use Fleet when you need one operating view across environments.