# The city of systems: Temporal, Kafka, and Nexus

DevFeed: [The city of systems: Temporal, Kafka, and Nexus](<https://devfeed.tech/articles/the-city-of-systems-temporal-kafka-and-nexus-35758.md>)

Original publisher: [Read original article](<https://temporal.io/blog/city-of-systems-temporal-kafka-nexus>)

Author: Tao Guo

Published: 2025-12-10T00:00:00Z

Content type: article

Language: en

Sources: [Temporal Blog](<https://devfeed.tech/sources/temporal-blog.md>)

Topics: [Kafka](<https://devfeed.tech/topics/kafka.md>), [Event-Streaming](<https://devfeed.tech/topics/event-streaming.md>), [distributed-systems](<https://devfeed.tech/topics/distributed-systems.md>)

Tags: [distributed-systems](<https://devfeed.tech/tags/distributed-systems.md>), [event-streaming](<https://devfeed.tech/tags/event-streaming.md>), [kafka](<https://devfeed.tech/tags/kafka.md>), [partitions](<https://devfeed.tech/tags/partitions.md>), [publisher](<https://devfeed.tech/tags/publisher.md>), [queues](<https://devfeed.tech/tags/queues.md>), [streaming](<https://devfeed.tech/tags/streaming.md>), [subscriber](<https://devfeed.tech/tags/subscriber.md>), [temporal-voices](<https://devfeed.tech/tags/temporal-voices.md>)

## AI overview

The article presents Temporal, Kafka, and Nexus as complementary building blocks for distributed systems. It explains Kafka's publisher-subscriber model, consumer groups, and partitions, while noting that its high-volume event broadcasting can be vulnerable to lost signals and stalled processing.

## Source excerpt

Temporal, Kafka, and Nexus create the blueprint for great distributed systems, balancing high-speed event streaming with guaranteed certainty.