From Events to Insights in Real Time
Message queues are about reliable delivery. Streams are about deriving meaning from continuous flows of events as they happen. MsgLoop's stream processing layer sits on top of its durable messaging infrastructure, giving you the tools to filter, aggregate, join, and transform event streams without building and operating a separate stream processing cluster.
Pub/Sub Topics and Content-Based Routing
MsgLoop topics implement the publish-subscribe pattern: producers publish events to a topic, and multiple subscriber groups independently receive every event. Each subscriber group maintains its own offset, so a slow subscriber does not block a fast one, and a subscriber can replay historical events without affecting others.
Content-based routing lets subscribers declare filter expressions that select only the events relevant to them. A payment processor subscribes only to events where the event type is payment.completed and the amount exceeds a threshold. A fraud detection system subscribes to all payment events regardless of amount. Routing happens in the broker, so subscribers only receive and process events they care about, reducing compute cost and simplifying consumer logic.
Windowed Aggregations
Many stream processing use cases involve computing statistics over sliding or tumbling time windows: the count of login attempts per user in the last five minutes, the sum of order values per region in the last hour, the rate of error events per service in the last thirty seconds. MsgLoop's windowing engine handles the bookkeeping of window state, late-arriving events, and window eviction, exposing the results as a derived stream that downstream consumers can subscribe to.
Stream Joins
Enriching an event stream with reference data is a common requirement: join a stream of page view events with a user profile stream to add demographic context, or join an order stream with a product catalog stream to add pricing information. MsgLoop supports temporal joins that match events from two streams within a configurable time window, producing enriched events that carry fields from both sources.
Multi-Region Replication
MsgLoop replicates topic data across regions asynchronously, with configurable lag targets. Subscribers in a remote region read from the local replica, achieving low read latency without routing all traffic through the origin region. The replication topology is defined per-topic, allowing you to replicate only the topics that remote consumers need and saving replication bandwidth for topics with purely local consumers.
Analytics and Monitoring Pipelines
MsgLoop's connectors export stream data to data warehouses, object storage, and time-series databases for offline analysis and long-term retention. Connectors handle batching, compression, schema evolution, and exactly-once delivery to the target system. Combined with the windowed aggregation engine for real-time dashboards and the connector framework for historical analysis, MsgLoop covers the full analytics pipeline from event collection through insight delivery.