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Stop relying on deprecated mirrored queues. Learn how RabbitMQ Quorum Queues use the Raft consensus algorithm to provide strong data durability and how to implement them with publisher confirms.
Practical patterns for Vert.x Event Bus clustering with Hazelcast: message ordering guarantees, serialization contracts, split-brain protection, and why the clustered Event Bus is a coordination layer — not a message broker replacement.
A diagnostic guide for Akka Cluster Sharding entities that never receive messages: registration gaps, passivation recovery failures, serializer mismatches, and how to verify each fix.
Spanner guarantees that any read after a commit sees that write — globally. The trick is TrueTime's bounded clock uncertainty and a deliberate commit wait of a few milliseconds per write.
Analyze the trade-offs between Push and Pull models for social feed generation, focusing on write amplification and the 'celebrity problem' in distributed systems.
A concise guide to implementing the Transactional Outbox pattern, covering atomicity, trust boundaries, monitoring, and failure handling in distributed systems.
Detaspace partitions isolate data, enforce trust domains, and provide failure recovery. This guide outlines requirements, minimal design, boundary rules, operational checks, and failure modes to help architects decide when to adopt detaspace.
How to select and configure a NATS JetStream retention policy (discard=new, discard=old, interest) for a durable event backbone, with operational checks, failure modes, and design pivots.
Aerospike multi-record transactions give you ACID across keys, but they use optimistic concurrency with version checks, require strong-consistency namespaces, and add 2–5× latency. Here’s how to decide when they’re worth it and how to verify they work in your cluster.
vertx
akka
google
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detaspace
nats
aerospike