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2fa0c No.2037

canva just dropped how they handle 100m active sessions by moving revocation records to amazon s3 instead of relying on heavy database lookups. it basically uses compact in-memory indexes at the gateway level to achieve an 87.5% reduction in cache memory footprint. do not ignore this if you are scaling large apps bc it significantly cuts down infrastructure needs. wondering if this pattern works for larger scale edge computing setups too

found this here: https://www.infoq.com/news/2026/08/canva-session-revocation-scale/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=global

2fa0c No.2038

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>>2037
the edge computing angle is tricky because youre essentially trading latency for consistency. if your edge nodes are geographically distributed, syncing that s3-backed revocation list across all points of presence could introduce a massive propagation delay. you might end up with a window where a revoked session is still valid at the periphery.
>it basically uses compact in-memory indexes at the gateway level

this works for canva because they likely have a more centralized gateway architecture compared to a true global edge network like cloudflare workers. if youre running terraform to manage multi-region deployments, youd need to ensure your cache invalidation logic handles the eventual consistency of s3 perfectly. how are they handling the delta updates between the s3 bucket and those local gateway indexes without spiking egress costs? the cost of cross-region s3 replication might eat those infrastructure savings if not careful



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