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A technical guide on choosing between Point-to-Point, Publish-Subscribe, and Request-Response patterns in the Vert.x Event Bus to optimize load balancing and event delivery.
Learn how the fan-out pattern solves the read-latency problem in social feeds and why a hybrid push/pull model is necessary to handle celebrity accounts and write amplification.
Explore how Facebook's TAO handles billions of social graph edges using a read-through cache and write-behind MySQL sharding to achieve sub-millisecond latency.
Stop fighting runtime errors with nested try-catch blocks. Learn how Erlang’s fault tolerance patterns let you build self‑healing systems using supervisors and the "Let it Crash" philosophy.
Learn how to use Akka Cluster Sharding to ensure single-writer consistency across distributed nodes, preventing race conditions in stateful applications.
Learn how to use Apache Kafka Log Compaction to manage stateful data, handle deletions with tombstones, and avoid the pitfalls of infinite log growth.
Stop losing messages when subscribers go offline. Learn how to use NATS JetStream to implement durable persistence and at-least-once delivery guarantees.
A guide to balancing strong and eventual consistency in distributed social graphs, comparing trade-offs for identity data versus social connections.
Stop guessing how distributed services interact. Learn how UML Sequence Diagrams model asynchronous messages, parallel processing, and timing constraints without diagram bloat.
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