# How Fixed Intervals Synchronize Distributed Clients and How Jitter Helps

DevFeed: [How Fixed Intervals Synchronize Distributed Clients and How Jitter Helps](<https://devfeed.tech/articles/jitter-is-the-cheapest-reliability-fix-you-are-not-using-39601.md>)

Original publisher: [Read original article](<https://ankit-rana.com/logs/49-jitter-synchronised-clients/>)

Author: hello@ankit-rana.com

Published: 2026-09-07T00:00:00Z

Content type: opinion

Language: en

Sources: [Ankit Rana | Mechanical Sympathy](<https://devfeed.tech/sources/ankit-rana-mechanical-sympathy.md>)

Topics: [reliability](<https://devfeed.tech/topics/reliability.md>), [distributed-systems](<https://devfeed.tech/topics/distributed-systems.md>), [systems](<https://devfeed.tech/topics/systems.md>), [Network](<https://devfeed.tech/topics/network.md>), [Cache](<https://devfeed.tech/topics/cache.md>), [Redis](<https://devfeed.tech/topics/redis.md>)

Tags: [aws](<https://devfeed.tech/tags/aws.md>), [cache](<https://devfeed.tech/tags/cache.md>), [code](<https://devfeed.tech/tags/code.md>), [distributed-systems](<https://devfeed.tech/tags/distributed-systems.md>), [jitter](<https://devfeed.tech/tags/jitter.md>), [network](<https://devfeed.tech/tags/network.md>), [reliability](<https://devfeed.tech/tags/reliability.md>), [resilience](<https://devfeed.tech/tags/resilience.md>), [retries](<https://devfeed.tech/tags/retries.md>), [thundering-herd](<https://devfeed.tech/tags/thundering-herd.md>)

## AI overview

Fixed retry intervals, TTLs, restarts, reconnects, and other recurring events can cause independent clients in distributed systems to synchronize, producing repeated load spikes. Adding randomness, or jitter, helps break that alignment; the article cites AWS measurements indicating that full jitter improves total work and completion time under contention.

## Source excerpt

Distributed systems synchronise themselves without being told to: every client that retries on a fixed interval, restarts after a deploy, or reconnects after a network blip ends up firing at the same moment as every other client. The resulting spike is a self-inflicted denial of service that no single component is responsible for. Adding randomness to any repeating interval breaks the alignment, and it is usually one line of code against a failure mode that otherwise requires capacity you never needed.