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Article0 replies2,466 followingPosted 27 Jul 2025, 09:17 UTC31K views3,522 votes

Ensuring Message Survival: Using NATS JetStream for Durable Event Logs

Standard NATS drops messages during restarts. Learn how to use JetStream to create durable logs and consumers that guarantee at-least-once delivery for critical events.

Community & Careers · Blog

Tasadduq Burneyowner

Started27 Jul 2025, 09:17 UTC

Level 38Owner34,775 rep points

Community & Careers

Article0 replies2,829 followingPosted 07 Apr 2026, 18:40 UTC52.1K views1,588 votes

Pulsar Key_Shared Subscriptions: Ordered Per-Key Processing Without Giving Up Parallelism

Pulsar's Key_Shared subscription preserves per-key ordering while scaling consumers horizontally. Here's how it routes messages, a working example, and the hot-key and rebalancing trade-offs to design around.

Community & Careers · Blog

messaging event-streaming apache-pulsar

Community & Careers

Article0 replies1,076 followingPosted 18 Apr 2026, 02:36 UTC14.4K views1,200 votes

Key_Shared in Apache Pulsar: per-key ordering without partition math

Pulsar's Key_Shared subscription keeps every message key in order while the consumer group scales. How the hash routing works, what hot keys and rebalances cost, and how to verify it on your cluster.

Community & Careers · Blog

event-streaming apache-pulsar

pulsar

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Article0 replies1,731 followingPosted 19 Feb 2026, 18:44 UTC48.2K views4,548 votes

Redis Streams: Designing Reliable Event Processing with Consumer Groups

Redis Streams provide durable, ordered messaging with consumer‑group semantics. Learn the minimal design, trust boundaries, ops checks, and when to reconsider.

Community & Careers · Guide

redis event-streaming streams

Community & Careers

Article0 replies2,303 followingPosted 18 Aug 2025, 13:25 UTC118.1K views2,827 votes

Cosmos DB Change Feed for Microservice Event Streaming

Azure Cosmos DB Change Feed provides a persistent, ordered log of inserts and updates that microservices can consume directly. This post shows how to set it up, run a sample processor, and consider its limits.

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azure-functions event-streaming change-feed

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Article1 reply1 comment3,797 followingPosted 05 Sept 2025, 22:19 UTC22.7K views2,837 votes

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Kafka Log Compaction: Keep Only the Latest State Per Key and When to Use It

When you need to replay only the most recent value for each key in a Kafka topic, log compaction is the right tool. This guide explains how compaction works, shows a practical example, and discusses trade‑offs and limits so you can decide if it fits your use case.

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data-storage

apachekafka apache-kafka

Community & Careers

Article1 reply1 comment2,664 followingPosted 10 Aug 2026, 19:28 UTC51.2K views1,859 votes

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LinkedIn's Kafka Event Backbone and Why Partitioning Matters for Real-Time Feeds

LinkedIn moved from batch ETL to a Kafka event backbone to keep feeds fresh. Partitioned topics enable independent consumers and incremental updates, with trade-offs in key design and consumer lag.

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linkedin-kafka

linkedin event-streaming