Messaging terms

4 terms of 1444 total

📨 Decoupling systems through reliable, async communication

Asynchronous messaging decouples producers from consumers and makes distributed systems more resilient. This category covers message queues, pub/sub patterns, event streaming with Kafka, delivery guarantees, dead letter queues, and the architecture patterns that make event-driven systems robust at scale. When you need services to communicate without depending on each other's availability, messaging is the answer.

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Apache Kafka Concepts

Kafka is a distributed log — producers append to immutable, ordered topics partitioned for parallelism, consumers read at their own pace and replay from any offset.

2mo ago messaging intermediate

Apache Kafka Fundamentals PHP 7.0+

A distributed event streaming platform that stores messages as an immutable ordered log partitioned across a cluster — optimised for high-throughput, durable, replayable event streams rather than traditional task queues.

2mo ago messaging advanced

At-Least-Once Delivery

At-least-once delivery guarantees a message is delivered to at least one consumer, possibly multiple times — consumers must be idempotent to handle duplicates safely.

2mo ago messaging intermediate

Apache Kafka

A distributed event streaming platform — topics, partitions, and consumer groups enable high-throughput, fault-tolerant, replayable message streams at massive scale.

2mo ago messaging advanced