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Messaging

Everything on CoreConcept tagged with Messaging. Explore related tags below.

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Intermediate~4.5 hours

Master how microservices talk to each other — synchronous REST and gRPC, async messaging, event-driven patterns, resilience, and distributed consistency.

Articles

A checkout API can wait until every step finishes, or accept an order and complete work later. The first path gives the caller an immediate final answer but cou

Jul 17, 20269 min read
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RabbitMQ is a broker: producers publish messages; exchanges route them; queues buffer work; consumers process and acknowledge. The same building blocks combine

Jul 16, 20265 min read
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Asynchronous messaging decouples services in time — producers send without waiting for consumers. Kafka is a distributed event log for high-throughput streams a

Jul 4, 20264 min read
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A signup service inserts a new User row, then calls the broker to publish UserRegistered so the welcome-email and loyalty services can react. The database commi

Jul 21, 20266 min read
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An invoicing consumer reads InvoiceApproved from a queue, calls the payment processor to charge the card, and commits its offset. The broker redelivers the mess

Jul 21, 20266 min read
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A consumer service scales from two instances to eight expecting throughput to climb accordingly — instead, six of the eight sit idle while the same two partitio

Jul 21, 20267 min read
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Selecting a messaging system for microservice communication involves balancing throughput, footprint complexity, and persistence guarantees. Heavy enterprise me

Aug 3, 20269 min read
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While traditional event streaming platforms like Apache Kafka store message logs directly on local broker disks, coupling message routing compute with physical

Aug 3, 20269 min read
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Apache Kafka revolutionized event streaming by implementing a append-only distributed log model where message ordering is guaranteed within partition topic logs

Aug 4, 20269 min read
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