Irrational Solution

1.41421356237309504880…

Sample report · Production Triage

Production Triage report

Covers one system: the GreenRoom V1 to V2 migration, reviewed before cutover.

System
GreenRoom V2, in private beta
Date
xxxxxxxxxx
Engagement
Three business days, one system
Decision owner
Founder or CTO
Prepared by
Eric Henschel
Question
Is the V1 to V2 migration safe to execute?

xxxxxxxxxVendor names, component names and some figures are blacked out, as they are in any report we share beyond the client who commissioned it.

SampleNot a client engagement. This report triages GreenRoom V2, a professional network for the music industry built by GreenRoom Technologies, Inc. Our founder is its founding engineer. V2 is in private beta, V1 is still live, and the production cutover is pending. The findings date from before the migration work. Client reports follow this structure, scoped to your system and your decision.

Irrational Solution Production Triage · Sample report

Summary

Do not cut over on the plan as it stood at review. The target design, a Postgres graph in four layers, is sound. Two critical risks made the execution path an unacceptable bet on data that cannot be re-created: an identity bridge that was assumed rather than checked, and an ETL that was not safe to re-run.

The fix plan has four items. F1 to F3 come before any cutover. F4 ships alongside, so the discovery feature V2 is built around is protected from the first day.

  • 2critical
  • 2high
  • 1medium

System snapshot

What exists, taken from code and infrastructure rather than from documents.

V1 to V2 system map V1 runs on serverless services with a document store, a hosted auth provider and a payment processor, all names redacted. V2 runs services over a Postgres graph. An ETL moves V1 data to Postgres, and an identity bridge from the V1 auth provider to V2 auth was assumed but not checked. V1 (live) V2 (private beta) redacted redacted identity, payments, bookings redacted redacted redacted Postgres graph four layers, entities to intent V2 auth LLM discovery over profile data ETL no deterministic keys identity bridge assumed, not checked

V1 stays available while V2 is built and tested. Account history and sign-in continuity both have to survive the cutover.

Findings, ranked by risk

Ranked by blast radius and likelihood. Each finding is tied to a named component. In a client report the evidence column cites file paths, queries and run output; here it is summarised.

R1

Sign-in continuity could break at cutover

CRITICAL
Where it lives
xxxxxxxx to Postgres identity bridge
Evidence
The plan assumed xxxxxxxx sessions and UIDs would carry over for legacy V1 accounts. Nothing checked that mapping, and xxxxxxxx sessions do not transfer to the V2 auth system.
Blast radius
Legacy users locked out of their paid history, a support backlog, and lost trust in the cohort V2 most needs to keep.
R2

The ETL was not safe to re-run

CRITICAL
Where it lives
xxxxxxxx to Postgres migration jobs
Evidence
Rows were inserted without deterministic keys, so a partial failure followed by a re-run could write a second copy of the same record.
Blast radius
Duplicate or conflicting records across every table the ETL writes, and manual clean-up of each one.
R3

No rollback once V2 accepts writes

HIGH
Where it lives
Cutover plan
Evidence
No reverse migration was designed, and nothing prevented V1 from changing underneath a load.
Blast radius
Any defect found after cutover becomes a forward-fix emergency instead of a controlled revert.
R4

Discovery has no evaluation harness

HIGH
Where it lives
Natural-language discovery layer over the graph
Evidence
No fixed set of queries with expected matches existed, so a change to a prompt or model could not be compared with a baseline.
Blast radius
The feature V2 is built around gets worse without anyone noticing until users stop trusting it.
R5

No per-stage visibility in the migration

MEDIUM
Where it lives
ETL pipeline
Evidence
Success was inferred from the absence of errors, not from checks showing that the loaded data matched the source.
Blast radius
Silent data loss found weeks later, when it is expensive to trace.

Fix plan

Each risk becomes a bounded work item with an acceptance check. Written so any senior engineer could carry it out, not only the one who wrote it.

F1

Read-only dry run of the identity bridge

addresses R1 · about 3 days

Run a read-only pass over every legacy V1 account against the V2 identity data, and produce an exceptions list before any cutover. Use a lazy credential bridge: a V1 user signs in with their existing password and the V2 account is created at first login. Accounts that fail mapping get a re-link flow designed now, not during an incident.

Acceptance checkEvery legacy account either maps cleanly or appears on the exceptions list with a re-link path. Conflicting rows are held back and reported, not loaded.
F2

Deterministic keys and a verify suite

addresses R2, R5 · about 4 days

Give every migrated record a deterministic uuid5 key derived from its source identity, and write with ON CONFLICT so a re-run changes nothing. Add a dry-run mode and a read-only verify suite that reports counts per stage, so each run can be audited and resumed.

Acceptance checkField-level parity: after running the full ETL twice, every field of every migrated row matches the source mapping, and the second run changes no rows. Row counts alone do not pass.
F3

Freeze V1 during loads, with manifest-based rollback

addresses R3 · about 5 days

Hold V1 read-only for the length of each load so the source cannot move underneath it. Record a manifest of every row a load writes, so a rollback removes exactly those rows and nothing else.

Acceptance checkA rollback rehearsed on a copy of the data returns it to its pre-load state, confirmed by a field-level comparison with no differences.
F4

A minimal evaluation tripwire for discovery

addresses R4 · about 3 days

Freeze xxx real goal-resolution queries, each with its expected profile matches, into a regression suite that runs on every merge. Pin the model version, set temperature to 0, and cache retrieval results, so a change in score means the system changed and not the noise around it. This is a tripwire, not a research project.

Acceptance checkThe suite fails the build only when the pass rate drops by more than 5 percentage points against the frozen baseline, averaged across 3 runs.

Where the system stands

This page does not claim the migration is done. V2 is in private beta, V1 is live, and the production cutover is pending. What has been built so far on the GreenRoom V2 migration path:

  • Deterministic uuid5 IDs, with ON CONFLICT writes so re-runs are no-ops.
  • A dry-run mode and a read-only verify suite.
  • A field-level parity audit.
  • Manifest-based rollback, and V1 frozen read-only during loads.
  • A lazy credential bridge, with a reconciliation gate that held back conflicting rows instead of loading them.

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