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Article0 replies1,959 followingPosted 18 Jan 2026, 03:09 UTC114.7K views1,121 votes

Using UML Sequence Diagrams to Tame Asynchronous Chaos

UML Sequence Diagrams help map asynchronous API calls and identify edge cases before code is written, preventing integration errors in distributed systems.

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Tasadduq Burneyowner

Started18 Jan 2026, 03:09 UTC

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Community & Careers

Article0 replies3,702 followingPosted 14 Dec 2025, 23:30 UTC107.4K views4,186 votes

Designing a Fault‑Tolerant, Scalable Domain with Akka Cluster Sharding

Cluster Sharding scales stateful domain entities across a cluster with minimal plumbing. This guide covers requirements, minimal design, trust boundaries, operational checks, failure modes, and when to adjust the design, with a Cassandra‑backed example.

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distributed-systems cluster-sharding

akka

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Article0 replies2,896 followingPosted 21 Nov 2025, 06:32 UTC144.8K views4,505 votes

Snowflake-Style Distributed IDs: An Architecture Note

Snowflake IDs trade central coordination for bit-packed uniqueness. This architecture note covers the 64-bit layout, worker ID trust boundaries, clock failure modes, and practical checks before production.

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distributed-systems

twitter system-design

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Article0 replies4,981 followingPosted 20 Oct 2025, 18:54 UTC36.1K views2,717 votes

Managing Real-Time State with Phoenix Channels and Presence

Learn how to use Phoenix Channels and the Presence module to manage real‑time user state across distributed clusters without relying on a central database.

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distributed-systems phoenix-framework websockets

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Article0 replies3,949 followingPosted 24 Aug 2025, 03:35 UTC66.9K views3,530 votes

Managing Shared Application State with Detaspace

Stop writing boilerplate for WebSockets and API polling. Learn how Detaspace uses distributed state mapping to synchronize data across clients automatically.

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distributed-systems real-time-data

detaspace

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Article0 replies3,175 followingPosted 20 Jun 2026, 06:11 UTC33.1K views3,559 votes

Choosing the Right Apache Pulsar Subscription Mode for Consumer Scaling

A technical guide on choosing between Exclusive, Failover, Shared, and Key_Shared subscription modes in Apache Pulsar to balance message ordering and throughput.

Community & Careers · Guide

distributed-systems consumer-scaling message-queue

Community & Careers

Article0 replies1,429 followingPosted 09 Oct 2026, 21:07 UTC62.3K views4,134 votes

Why LinkedIn Built Kafka as a Commit Log Instead of a Message Queue

LinkedIn built Kafka as a distributed commit log rather than a message queue. Here's why that one decision enables replay, independent consumers, and massive throughput — and what it costs.

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event-driven-architecture distributed-systems apache-kafka

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Article0 replies4,729 followingPosted 06 Oct 2025, 05:34 UTC105.8K views4,973 votes

How Facebook's TAO Solves Social Graph Scale: Denormalized Associations Over SQL Joins

Facebook's TAO replaces SQL joins with a denormalized association model—accepting write amplification to make social graph reads single-shard and cache-friendly. Here's how the trade-off works, where it breaks, and how to evaluate it for your own workload.

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cache-invalidation distributed-systems graph-database

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Article0 replies4,545 followingPosted 27 Mar 2026, 08:20 UTC104.7K views4,323 votes

Stopping Duplicate Messages with Kafka Idempotent Producers

Learn how to eliminate duplicate messages in Apache Kafka using the Idempotent Producer. Explore the PID/Sequence mechanism, required configurations, and how to verify success using JMX metrics.

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kafka-producer

apachekafka distributed-systems