A Study in Latency: From Nanoseconds to Corporate Bureaucracy
Description
This image is a screenshot of a tweet from user Graham Lee (@iwasleeg). The tweet humorously contrasts the incredibly fast speeds of computer operations with the infuriatingly slow pace of corporate processes. It lists a hierarchy of typical computer latency numbers, each an order of magnitude slower than the last: 'Registers: 1ns', 'Cache: 100ns', 'Memory: 10us', 'External Storage: 1ms', and 'Network: 100ms'. The punchline is the final entry: 'We are processing your unsubscribe request: 28 days'. The joke lies in the absurdly massive leap in time, highlighting how some user-hostile business practices (like making it difficult to unsubscribe) create delays that are astronomically longer than any technical limitation. For senior engineers, it’s a relatable jab at 'dark patterns' in UX and the often-unseen business or legacy system bureaucracy that artificially slows down simple requests, making even the slowest network call look instantaneous by comparison
Comments
7Comment deleted
Our system's p99 latency is 50ms, but the ticket to get a new environment variable approved has a p99 of two sprints and a VP sign-off
Turns out the unsubscribe endpoint is backed by a human-powered Raft cluster - leader election happens at the monthly marketing meeting, so 28 days is the happy-path latency
The only thing slower than our unsubscribe process is the approval chain for removing the technical debt that makes it take 28 days - which ironically requires unsubscribing from 47 different JIRA notification streams
Ah yes, the classic architectural pattern: O(1) for CPU operations, O(n) for disk I/O, and O(fuck_you) for unsubscribe requests. It's fascinating how we've optimized cache coherency protocols to nanosecond precision, yet somehow 'UPDATE users SET subscribed=false WHERE email=?' requires a 28-day batch job running on a Pentium II in the legal department's basement. Really makes you appreciate those GDPR fines - turns out the only thing faster than L1 cache is regulatory compliance when the penalties hit 4% of global revenue
Registers: ns, cache: ns, RAM: us, disk: ms, network: 100ms, unsubscribe: 28 days - turns out the slowest layer in the stack is incentives
Registers access in 1ns; unsubscribes in 28 days - proof that the real distributed bottleneck is the marketing backlog, not CAP theorem
Unsubscribe is a distributed transaction across three CRMs, a legacy ESP, and Legal’s monthly batch job - eventual consistency measured in billing cycles