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👀 Problem
Trying to make checkout feel fast this sprint. Target: under 1s on normal connections. Notes from Slack/Doc/SRE pulled here—needs alignment.
•
Retry spike Fri 9:42–10:07; see logs → SRE link
•
Fallback for EU if edge storage is blocked
•
Decision in Slack said: “cache token + have a switch to turn it off” → need owner + task
•
Baseline (US web): P50 620ms, P95 1.8s, P99 2.6s → Grafana dashboard
•
Doc says “add rollback plan” but it’s still unresolved → Spec link
💭 To Do
☐
Define success metrics (owner: ?)
☐
Add rollback flag to config
☐
Notify Support about latency windows
☐
Link related tasks in Jira/Linear (missing)
☐
Assign owner for alerts (P95 > 1.2s for 10m)

🛫 Open Questions
•
If token expires mid-checkout, what does the user see?
•
Any privacy concerns with edge storage?
Rollout order: 10% → 50% → 100% or slower?
•
Rollout order: 10% → 50% → 100% or slower?
Checkout Perf Notes
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Checkout Latency Plan (Draft)
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Goals
Speed: Bring P95 < 1.0s and P99 < 1.4s for US web checkout by Aug 30.
Stability: Error rate ≤ 0.5% during rollout.
Ops: Rollback < 10 min via config flag.Baseline (Aug 5): P50 620ms · P95 1.8s · P99 2.6s (US web)Measure: Grafana dashboard → “Checkout Latency (US)” · Alerts at P95 ≥ 1.2s for 10 min.
Scope: Web (US). Mobile + EU in a follow-up.Non-goals: Rewriting payment provider or cart service.
Options
1) Edge cache payment token (risk: stale)
2) Warm pool for payment service (infra cost)
3) Precompute cart totals (consistency?)
Proposed Decision
Go with 1) Edge cache (TTL 15 min) + 3) Precompute, ship behind a rollback flag, monitor with new alerts.Keep 2) Warm pool as a fallback if edge storage is blocked by privacy review.






Brian Madden
8:43 AM
2 days ago
Resolve
Can you be more specific?

Brian Madden
8:43 AM
2 days ago
Resolve
Can we add rollback procedure?

Brian Madden
8:43 AM
1 week ago
Resolve
Owner for Grafana dashboard?

Brian Madden
8:43 AM
1 week ago
Resolve
Is timeline accounting for Black Friday freeze?


Reply...
Thread
#checkout-perf

PM
10:42 AM
Goal this week: Make checkout feel fast. Target: under 1s on a normal connection.

Engineer
10:43 AM
Main slowdown: the payment service takes a while to wake up.
Two options: A) keep a small part always on, or B) save the payment token so we don’t ask for it every time. (Options)

Tech Lead
10:50 AM
We’ll save the payment token for 15 minutes and add a switch to turn it off quickly if anything breaks.Owners: Alex (code), Priya (alerts) · Due: Thu EOD(Links: Spec · Tasks)

Designer
11:46 AM
If the token expires mid-checkout, what does the user see?

PM
10:42 AM
Simple message + auto-retry once. Copy added in the doc --> Spec
-------------------Next Day------------------

Engineer
9:43 AM
Did we add the switch yet?
-------------------Next Day------------------

Engineer
12:43 PM
Who’s owning alerts?
-------------------Next Day------------------

Engineer
12:43 PM
Link to the tasks? Can’t find them in Jira.
Unresolved comments
Specs drift from implementation

Brian Madden
8:43 AM
2 days ago
Resolve
Can you be more specific?

Brian Madden
8:43 AM
2 days ago
Resolve
Can we add rollback procedure?

Brian Madden
8:43 AM
1 week ago
Resolve
Owner for Grafana dashboard?

Brian Madden
8:43 AM
1 week ago
Resolve
Is timeline accounting for Black Friday freeze?
Shadow plans within AI chats
Ownerless agent changes

Brian Madden
8:43 AM
2 days ago
Resolve
Can you be more specific?

Brian Madden
8:43 AM
2 days ago
Resolve
Can we add rollback procedure?

Brian Madden
8:43 AM
1 week ago
Resolve
Owner for Grafana dashboard?

Brian Madden
8:43 AM
1 week ago
Resolve
Is timeline accounting for Black Friday freeze?
Decision buried in threads
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var gutters = cm.display.gutters,
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gElt.style.width = (cm.display.lineNumWidth || 1) + "px";
}
}
gutters.style.display = i ? "" : "none";
updateGutterSpace(cm);
return false;
}
Reply...
Thread
#checkout-perf

PM
10:42 AM
Goal this week: Make checkout feel fast. Target: under 1s on a normal connection.

Engineer
10:43 AM
Main slowdown: the payment service takes a while to wake up.
Two options: A) keep a small part always on, or B) save the payment token so we don’t ask for it every time. (Options)

Tech Lead
10:50 AM
We’ll save the payment token for 15 minutes and add a switch to turn it off quickly if anything breaks.Owners: Alex (code), Priya (alerts) · Due: Thu EOD(Links: Spec · Tasks)

Designer
11:46 AM
If the token expires mid-checkout, what does the user see?

PM
10:42 AM
Simple message + auto-retry once. Copy added in the doc --> Spec
-------------------Next Day------------------

Engineer
9:43 AM
Did we add the switch yet?
-------------------Next Day------------------

Engineer
12:43 PM
Who’s owning alerts?
-------------------Next Day------------------

Engineer
12:43 PM
Link to the tasks? Can’t find them in Jira.
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Pulling from these two sources, there are a few security concerns with the current strategy. Consider these three options to mitigate them without slowing checkout.
Option 1
Option 2
Option 3
We use JWTs, and yes we want returning customers to have saved payment info. That's actually the main reason we force account creation. Maybe we could do guest checkout but somehow save their card for next time?
Dryft pulled 2 relevant sources from your workspace
Why this is relevant: They discuss the same checkout work, including the token-cache choice and unresolved alerts/rollback.
Slack
|
#checkout-speed
4 participants
Yesterday 2:14PM
PM
•
10:12
For this sprint, let’s get checkout to P95 under 1s.
SRE
•
11:31
FYI — we hit a retry storm on Friday from 9:42–10:07; logs and traces are in Grafana if you want to dig in.
Eng
•
12:05
Two viable paths: keep a small warm pool to avoid cold starts, or add an edge token cache.
Go to Thread
Doc
|
Checkout Latency Plan - Draft (v0.3)
3 min read
Last opened 9 days ago
Current baseline is P95 1.8s / P99 2.6s. We’ll reduce latency by caching the payment token at the edge (TTL 15m) behind a kill switch controlled by checkout.token_cache. Roll back by purging the cache, disabling the flag, and...
Go to Doc
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FEAT-218
Improve checkout speed
Blocked: missing decision link “cache token?” unresolved
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See design doc.
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Customer Analytics Dashboard Redesign
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IMPL-001
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Implement job queue and message broker system
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Blocks 2 tasks
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Build database schema data access layer
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A few clarifying questions to help design the best approach:
What's your current checkout flow? Are users required to create an account before purchasing?
We use JWTs, and yes we want returning customers to have saved payment info. That's actually the main reason we force account creation. Maybe we could do guest checkout but somehow save their card for next time?
I'm thinking about how to handle our checkout flow. We're losing too many users at the account creation step.
Yeah, they have to sign up first. We want their info for marketing and order history, but the drop-off rate is like 35% at that step.
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Service Boundaries
Authentication logic scattered across 3 services. Should be centralized in auth service to maintain single source of truth.
Concurrent Updates
What happens when two users edit the same dashboard simultaneously? No conflict resolution strategy defined.
Rate Limiting
No rate limiting on customer analytics endpoint. A single client could overwhelm the service with requests.
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Build database schema data access layer
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Blocks 3 tasks
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