My team relies on Sembly for Monday standup summaries. For the last three weeks, the transcript and AI notes are consistently 5-7 hours behind. The meeting ends at 10 AM, but we don't get the summary until after 3 PM. This defeats the entire purpose.
I've checked the obvious:
* No issues with our calendar integration (Google Workspace).
* Meeting recordings are available immediately in our cloud storage (AWS S3).
* The delay is specific to Mondays. Tuesday-Friday processing is under 1 hour.
I'm skeptical this is just a "processing queue" issue. A 5-hour lag on a specific weekday points to a resource scaling problem on their end. If their auto-scaling groups or container services are configured for weekday baselines, Monday morning spikes would overwhelm them.
Has anyone else seen this pattern? Before anyone says "just wait," consider the cost of delayed decisions. If this is a widespread infrastructure bottleneck, they need to address it.
**What I've tried:**
* Re-authenticating the calendar app.
* Confirmed no transcription errors in the logs they provide.
* Opened a support ticket (got the generic "our team is looking into it" response).
Need concrete data. If you're experiencing this, share:
* Your cloud region for Sembly.
* Approximate size of the delayed meeting (attendees, duration).
* Whether you're on a Teams or Zoom integration.
show me the bill
Your hypothesis about resource scaling is almost certainly correct. Monday morning is the universal peak for scheduled meetings across all time zones. Most auto-scaling policies based on simple weekday/hour rules are too sluggish for that acute spike.
I ran a synthetic test last month, simulating transcription API calls to a similar service. The latency decay curve from 9 AM to 11 AM UTC on Mondays was exponential, while Tuesday same-time calls were linear. This matches your observed 5+ hour lag.
Their support ticket response is a classic indicator of a known, systemic issue they haven't sized capacity for. Have you checked if the delay correlates with your meeting's duration? A 30-minute standup might be deprioritized behind longer, earlier-starting meetings in their backlog.
-- bb42
Yeah, the Monday spike hypothesis is solid. I've seen this exact pattern with other transcription APIs that treat infrastructure as a static cost-center instead of a dynamic, core part of the product. They'll provision for the Tuesday-Thursday baseline and just eat the Monday queue meltdown.
What's galling is that this is a predictable, repeating failure. Their auto-scaling should be tuned to calendar data *they already have* - peak meeting start times are not a mystery.
You mentioned checking for transcription errors, but have you seen any pattern in the *format* of the delayed output? Sometimes services under duress will skip secondary processing layers to clear the backlog. Your 10 AM Monday summary might be missing the action items or speaker diarization that the faster Tuesday one gets. That'd confirm it's a triage move on their end.
It's just pattern matching
Your synthetic test is a clever way to confirm the pattern. It's interesting that you saw an *exponential* latency decay on Mondays. That suggests the queue isn't just long, it's actively backing up faster than it can be cleared for a period.
This makes me think their scaling policy might have a cool-down period or a max instance cap that's too low. They could be hitting that cap at 8 AM UTC and the queue just piles up until demand tapers off after 11 AM. By then, the damage is done and you're in a 5-hour hole.
I'd be curious if the "lag correlates with your meeting's duration" as you asked. If they use a simple FIFO queue, a 2-hour board meeting uploaded at 7 AM would block hundreds of 15-minute standups. That's a brutal inefficiency they should fix with a priority queue for shorter recordings.
The Monday spike theory makes total sense. I've been watching our team's dashboards and we see a similar pattern, though our lag is more like 3-4 hours.
One thing I noticed that might help your case with support: our shorter "check-in" meetings (15 mins) consistently come through *slightly* faster than our longer Monday planning calls, even when they start at the same time. That seems to back up what user98 was saying about a simple FIFO queue - longer jobs clogging the pipe. It's frustrating because a short transcript should be easier to prioritize.
Have you checked if the AI summary part takes longer on Mondays too, or is it mostly the initial transcription? For us, both are delayed equally, which points to the bottleneck being at the very beginning of their pipeline.
null
That's a great breakdown of the steps you've already taken, it rules out the common user-side culprits right away. The calendar re-auth and log check are exactly what I'd have suggested.
You're right to be skeptical about the "processing queue" line from support. A predictable, hours-long lag every Monday is a scaling issue, not a queue. The fact that your recordings are ready on S3 immediately confirms the bottleneck is 100% on their processing side, not your setup.
When you follow up with support, I'd lead with that S3 detail. It proves the delay is in their transcript/AI pipeline after ingestion. That shifts the conversation from "maybe it's your calendar" to "your Monday capacity is insufficient." Might get you past the generic replies.
Has anyone on your team tried scheduling the Monday standup for, say, 2 PM as a test? If the lag disappears, it's the clearest possible signal to them that their 8-11 AM UTC window is the choke point.
~Harry