Developer Migration Guide Authoring

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    Authors executable developer migration guides: prerequisites, ordered resumable steps, validation gates, and safe rollback.

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    Developer Migration Guide Authoring

    Example session with this skill installed

    Author a developer migration guide and cutover procedure for our Core Banking Ledger modernization.

    • Subject: Core Banking Ledger (run-id: ledger-mig-001) moving 42M active accounts from Oracle 19c to AWS Aurora PostgreSQL 15.4.
    • Deciders: Head of Core Banking Engineering (David O'Reilly) and Lead Data Architect (Elena Rostova).
    • Scope & Bounds: Peak 8,500 TPS; planned downtime: 0 seconds; balance discrepancy tolerance: 0.00%.
    • Accepted Design: Strangler Fig pattern with Debezium CDC streaming, AWS DMS backfill, and reverse CDC fallback.
    • Tension: DB ops proposed an offline weekend window with a 12-hour batch export; David O'Reilly and Elena Rostova strictly reject offline maintenance, citing incident INC-3920 where a stalled batch migration breached clearing deadlines, triggering $1.4M in fines. They mandate a phased, resumable developer guide: read-only prerequisites, Debezium CDC synchronization, automated row-hash reconciliation, canary traffic pacing (1%, 5%, 25%, 100%), automated sub-60s rollback tripwires, and point-of-no-return gates.

    Write the migration guide document under architecture/tasks/ledger-mig-001/migration-guide-authoring/.

    • Read your context and instructions
    • Compiled the developer migration guide
    • Generated the document

    Wrote architecture/tasks/ledger-mig-001/migration-guide-authoring/migration-guide-document.md. Complete developer migration guide specifying read-only pre-flight checks, Debezium CDC streaming synchronization, automated row-hash reconciliation, canary traffic pacing, sub-60s rollback tripwires, and point-of-no-return gates.


    skill: migration-guide-authoring

    Developer Migration Guide: Core Banking Ledger Modernization [MIG-LEDGER-001]

    Summary

    This migration guide establishes the authoritative, step-by-step developer and operator migration procedure for the Core Banking Ledger modernization under run ID ledger-mig-001. It governs the zero-downtime transition of 42 million active balance accounts and 8,500 peak transactions/second from legacy on-premises Oracle 19c (db-oracle-prod-01) to AWS Aurora PostgreSQL 15.4 (aurora-pg-ledger-prod). Following tensions between operational expediency and clearing safety, this guide strictly rejects offline maintenance windows (which caused incident INC-3920 and $1.4M in regulatory penalties). The guide defines executable pre-flight readiness checks, AWS DMS historical backfill, Debezium CDC streaming with reverse synchronization, automated SHA-256 row-hash balance reconciliation (0.00% discrepancy floor), graduated canary traffic pacing (1%, 5%, 25%, 100%), automated sub-60-second rollback tripwires, and a 7-day point-of-no-return gate.

    Detailed Description

    Executing cold batch cutovers on mission-critical core ledgers risks unbounded downtime, unrecoverable data drift, and regulatory clearing failure. This guide implements an accepted Strangler Fig cutover pattern. Migration mechanics decouple baseline data replication from live traffic routing through an intermediate ingress proxy, preserving backward and forward compatibility across all intermediate phases.

    Incoming Ingress Transactions (8,500 TPS)
                           │
                           ▼
    [ Ingress Routing Proxy: Graduated Canary Shifter ]
      ├── Phase 1 & 2: 100% Traffic -> Source Oracle 19c (Debezium CDC active)
      ├── Phase 3.1: 1% Non-Critical Canary -> Target Aurora PostgreSQL 15.4
      ├── Phase 3.2: 5% Active Traffic -> Target Aurora PostgreSQL 15.4
      ├── Phase 3.3: 25% General Traffic -> Target Aurora PostgreSQL 15.4
      └── Phase 3.4: 100% Cutover -> Target Aurora PostgreSQL 15.4 (Reverse CDC active)
                           │
           ┌───────────────┴───────────────┐
           ▼                               ▼
    [ Source: Oracle 19c ]         [ Target: Aurora PostgreSQL 15.4 ]
      └── CDC Stream (Debezium) ───────► Ingestion Pipeline
                                           │
                                           ▼ (Continuous Reconciliation Engine)
    [ Balance Reconciliation Auditor: Discrepancy Gate (Must be 0.00%) ]
    

    Criteria and weights

    CriterionWhy it matters hereWeightSource of the weight
    Zero Scheduled DowntimeRetail banking and interbank payment clearing cannot permit scheduled offline outages (INC-3920).0.40David O'Reilly (Head of Core Banking)
    Mathematical Data Integrity (0.00% Discrepancy)Account balance mutations must reconcile to the exact cent across source and target engines.0.30Elena Rostova (Lead Data Architect)
    Rapid Automated Rollback (< 60s Reversion)Unhandled deadlocks or latency surges must trigger automated traffic reversion without data loss.0.20Enterprise Reliability Mandate
    Performance Parity (p99 <= 8.0 ms at 8,500 TPS)Target Aurora database must sustain peak write load without exhausting connection pools or storage I/O.0.10Core Ledger Performance Standard

    Comparison

    Record measured values with their date and version. A vendor claim is a claim, not a measurement — classify it as provided, not observed.

    CandidateService DowntimeRollback MechanismData Reconciliation ModelMeasured Cutover RTOEvidenceAs-of
    Option A: Cold Offline Batch Export12 Hours (Unbounded)Cold database restore (6+ hours)Post-cutover batch SQL diff> 12 hoursIncident INC-3920 Post-Mortem2026-08-10
    Option B: Dual-Write Application LogicZero DowntimeApplication feature flag toggleAsynchronous audit logs15 minutesArchitecture Guild RFC-1042026-08-25
    Option C: Strangler Fig + CDC + Reverse Sync (Chosen)Zero DowntimeAutomated sub-60s proxy swingContinuous cryptographic row-hash diff< 60 secondsStaging Cutover Drill MIG-STG-022026-09-08

    Result

    Option C is selected. Strangler Fig proxy routing decouples traffic migration; Debezium CDC streaming ensures zero-loss synchronization; reverse CDC streaming back to Oracle 19c guarantees instantaneous rollback safety without data loss.


    Required Mechanisms

    1. Audience [MC-AUD-01]
    • Inputs: Engineering operator identity, migration run ID ledger-mig-001, role assignments.
    • Algorithm: The guide partitions execution authority across specialized technical roles:
      • Database Migration Operator: Executes DMS tasks, Debezium connector deployments, and PostgreSQL schema validations.
      • Ingress Routing Operator: Controls Envoy proxy routing weights, canary pacing steps, and traffic swing triggers.
      • Ledger Data Auditor: Authorizes stage progressions based on continuous balance reconciliation reports.
      • Incident Commander (David O'Reilly): Holds sole authority to abort cutover or order emergency rollback.
    • Outputs: Authenticated terminal sessions with role-specific command scopes.
    • Owner: David O'Reilly (Head of Core Banking Engineering).
    • Failure Handling: If an unauthorized role attempts cutover execution, CI/CD deployment gates abort.
    • Verification: Reviewer self-check confirming named role bindings for every execution step.
    2. Source Authority [MC-SA-01]
    • Inputs: Production database connection strings, schema definitions, replication slots.
    • Algorithm: The guide derives source and target state exclusively from authoritative registries:
      • Source Authority: Oracle 19c Enterprise Edition (db-oracle-prod-01, schema LEDGER_CORE_V1).
      • Target Authority: AWS Aurora PostgreSQL 15.4 Multi-Region (aurora-pg-ledger-prod, schema ledger_core_v2).
      • Replication Authority: Debezium CDC connector v2.4 streaming to Apache Kafka topic ledger.cdc.mutations.v1.
    • Outputs: Sourced endpoint configuration maps.
    • Owner: Elena Rostova (Lead Data Architect).
    • Failure Handling: If source schema hash diverges from approved baseline ORCL-SCH-491, stop migration pipeline.
    • Verification: Sourced schema digest assertions returning exit code 0 prior to execution.
    3. Document Structure [MC-DS-01]
    • Inputs: 5-phase migration lifecycle.
    • Algorithm: The guide enforces strict chronological stage gates:
      • Phase 1: Pre-Flight Readiness & Baseline Backfill: Prerequisites, schema validation, and AWS DMS initial load.
      • Phase 2: CDC Streaming Synchronization & Diff Audit: Continuous Debezium replication and row-hash reconciliation.
      • Phase 3: Graduated Canary Cutover: 4-step progressive traffic shifting (1% -> 5% -> 25% -> 100%).
      • Phase 4: Reverse Synchronization & Soak: Target WAL streaming to source Oracle hot standby.
      • Phase 5: Point of No Return & Decommissioning: Formal sign-off and source retirement.
    • Outputs: Executable command blocks, observable checkpoints, and failure recovery branches per phase.
    • Owner: Elena Rostova (Lead Data Architect).
    • Failure Handling: Any checkpoint failure halts phase progression immediately.
    • Verification: Phase completion gate checklist verified prior to subsequent step dispatch.
    4. Freshness [MC-FR-01]
    • Inputs: Tooling versions, environment configurations, git commit hashes.
    • Algorithm: The guide binds exact immutable software and schema revisions:
      • Debezium Connector: debezium/debezium-connector-oracle:2.4.2.Final.
      • AWS CLI: aws-cli/2.15.30 Python/3.11.8.
      • Migration Scripts Repository: git@github.internal:banking/ledger-migration.git (commit c84e19f).
    • Outputs: Automated environment validation asserting version compliance before executing steps.
    • Owner: David O'Reilly (Head of Core Banking Engineering).

    Failure Handling: If tool version mismatch is detected, execution aborts with diagnostic ERR_TOOL_VERSION_STALE.

    • Verification: Version check command debezium --version and aws --version in pre-flight.

    Adversarial Cases and Routing

    1. Reject Duplicated Truth [ADV-DT-01]

    Vulnerability: Embedding ad-hoc SQL table DDL, duplicate data transformation scripts, or inline connection strings directly in the guide prose. Stale DDL in migration documents causes target schema divergence and silent column truncation.

    Enforcement & Diagnostic: This guide forbids inline DDL and transformation code blocks. All schema definitions must reference canonical repository paths:

    • Target schema DDL MUST route to schemas/postgres/v2/ledger_tables.sql (commit c84e19f).
    • Debezium connector configs MUST route to deploy/kafka/connectors/oracle-cdc-source.json.
    • Detecting duplicate schema definitions triggers diagnostic ERR_DUPLICATED_TRUTH_DETECTED and halts review.

    Forbidden Output Behavior: Embedding custom inline CREATE TABLE statements or custom CDC transformation logic inside this guide.

    2. Reject Unverifiable Example [ADV-UE-01]

    Vulnerability: Authoring vague, subjective verification steps such as "ensure data looks correct" or "check database performance manually".

    Enforcement & Diagnostic: Every step must supply an executable command, exact parameters, expected terminal output, and quantitative numerical thresholds:

    • CDC lag query: Prometheus PromQL debezium_streaming_milli_seconds_behind_source < 500.
    • Reconciliation oracle: python scripts/reconciliation/verify_balance_diff.py returning Discrepancies: 0.
    • Vague instructions trigger diagnostic ERR_UNVERIFIABLE_EXAMPLE_REJECTED.
    • Forbidden Output Behavior: Subjective checklist items or unmeasured approvals in operational branches.
    3. Reject Orphan Document [ADV-OD-01]

    Vulnerability: Storing this migration guide in an isolated folder without linking to the primary system architecture index or incident escalation procedures.

    Enforcement & Diagnostic: This guide must register in docs/architecture/migrations/INDEX.md and link directly to runbook docs/runbooks/ledger/cutover-failover.md. Unindexed documents trigger diagnostic ERR_ORPHAN_DOCUMENT_DETECTED.

    Forbidden Output Behavior: Creating detached documents lacking bidirectional traceability to architecture registries.


    Ordered Migration Steps and Checkpoints

    Phase 1: Pre-Flight Readiness & Baseline Backfill
    Step 1.1: Pre-Flight Environmental Readiness Check [STEP-PRE-01]

    Actor: Database Migration Operator | Working Directory: /opt/ledger-migration
    Execute environment and connectivity verification:

    python scripts/preflight/verify_connectivity.py \
      --oracle-host db-oracle-prod-01.internal \
      --aurora-host aurora-pg-ledger-prod.internal \
      --timeout-seconds 10
    
    • Expected Output: ALL_CONNECTIONS_HEALTHY: Oracle 19c (Latency: 1.2ms), Aurora PG 15.4 (Latency: 0.8ms).
    • Failure Behavior: Abort if connection fails or latency > 5.0 ms. Engage Network Operations.
    • Resume Point: Re-run Step 1.1 after network resolution.
    Step 1.2: Validate Target Database Schema [STEP-PRE-02]

    Actor: Database Migration Operator

    Apply and verify canonical target schema

    psql -h aurora-pg-ledger-prod.internal -U ledger_admin -d ledger_core -f schemas/postgres/v2/ledger_tables.sql
    python scripts/preflight/assert_schema_parity.py --baseline-config configs/schema-parity-rules.yaml
    
    • Expected Output: SCHEMA_PARITY_VERIFIED: 42 tables, 184 indexes, 0 column mismatches.
    • Failure Behavior: If column types or constraints diverge, drop target schema and inspect DDL.
    • Resume Point: Repeat Step 1.2 from clean database schema state.
    Step 1.3: Execute Historical Baseline Backfill via AWS DMS [STEP-PRE-03]

    Actor: Database Migration Operator

    Trigger AWS DMS full-load task

    aws dms start-replication-task \
      --replication-task-arn arn:aws:dms:us-east-1:123456789012:task:ledger-full-load \
      --start-replication-task-type start-replication
    
    • Expected Output: Monitor task status until ReplicationTaskStats.FullLoadProgressPercent: 100.
    • Checkpoint [CHK-01]:
      python scripts/reconciliation/verify_record_counts.py --expected-count 42000000
      
      Oracle Count: 42,000,000 | Aurora Count: 42,000,000 | Variance: 0 records.

    Phase 2: CDC Streaming Synchronization & Diff Audit
    Step 2.1: Deploy Debezium Oracle CDC Connector [STEP-CDC-01]

    Actor: Database Migration Operator
    Deploy CDC connector manifest to Kafka Connect cluster:

    curl -X POST -H "Content-Type: application/json" \
      --data @deploy/kafka/connectors/oracle-cdc-source.json \
      http://kafka-connect.internal:8083/connectors
    
    • Expected Output: {"name":"oracle-ledger-cdc","config":{...},"tasks":[{"id":0,"state":"RUNNING"}]}.
    • Failure Behavior: Check Kafka Connect logs for Oracle LogMiner permission errors.
    Step 2.2: Continuous Balance Reconciliation Diff Audit [STEP-CDC-02]

    Actor: Ledger Data Auditor
    Execute row-level SHA-256 balance checksum comparator:

    python scripts/reconciliation/verify_balance_diff.py \
      --window 24h \
      --max-discrepancy 0.00 \
      --sample-rate 1.0
    

    Checkpoint [CHK-02]: Must achieve 0 discrepancies across 7 consecutive days of continuous streaming before canary cutover is authorized.


    Phase 3: Graduated Canary Cutover

    Prerequisite: Elena Rostova and David O'Reilly sign off on Checkpoint CHK-02.

    Step 3.1: Route 1% Canary Traffic to Aurora [STEP-CUT-01]

    Actor: Ingress Routing Operator | Schedule: Day 22, 02:00 UTC

    Update Envoy ingress routing weights

    python scripts/traffic/set_traffic_split.py --source-weight 99 --target-weight 1 --filter-cohort non-critical-merchants
    
    • Canary Observation (60 minutes):
      • Error rate on Aurora must remain < 0.05%.
      • p99 latency must remain <= 8.0 ms.
    Step 3.2: Expand Canary to 5% Traffic [STEP-CUT-02]

    Schedule: Day 22, 04:00 UTC

    python scripts/traffic/set_traffic_split.py --source-weight 95 --target-weight 5
    
    • Observe metrics for 120 minutes.
    Step 3.3: Expand Canary to 25% Traffic [STEP-CUT-03]

    Schedule: Day 22, 08:00 UTC

    python scripts/traffic/set_traffic_split.py --source-weight 75 --target-weight 25
    
    • Observe metrics for 240 minutes across morning peak load.
    Step 3.4: Complete 100% Traffic Cutover to Aurora [STEP-CUT-04]

    Schedule: Day 22, 14:00 UTC

    python scripts/traffic/set_traffic_split.py --source-weight 0 --target-weight 100
    
    • Checkpoint [CHK-03]:
      python scripts/traffic/verify_zero_oracle_traffic.py --oracle-host db-oracle-prod-01.internal
      

    Expected: Active client connections to Oracle = 0 (excluding reverse CDC).


    Phase 4: Reverse Synchronization & Soak
    Step 4.1: Activate Reverse CDC Streaming [STEP-REV-01]

    Actor: Database Migration Operator
    Start reverse replication task streaming Aurora PostgreSQL WAL to Oracle 19c:

    curl -X POST -H "Content-Type: application/json" \
      --data @deploy/kafka/connectors/postgres-reverse-cdc.json \
      http://kafka-connect.internal:8083/connectors
    
    • Expected Output: Reverse CDC task in RUNNING state.
    • Rollback Safeguard: Legacy Oracle 19c remains fully synchronized as a hot standby for 7 days.

    Phase 5: Point of No Return & Decommissioning
    Step 5.1: Point of No Return Sign-Off Gate [STEP-NR-01]

    Epoch: Day 30, 18:00 UTC (7 days post-cutover)

    • Prerequisites for Point of No Return:
      1. Aurora sustains 100% production load for 7 continuous business days with zero P1/P2 incidents.
      2. End-of-week ledger trial balance reconciles to $0.00 discrepancy.
      3. Formal written sign-off from David O'Reilly and Elena Rostova.
    • Execution: Sever reverse CDC streaming and archive Oracle database:
      curl -X DELETE http://kafka-connect.internal:8083/connectors/postgres-reverse-cdc
      sqlplus admin/pass@db-oracle-prod-01.internal as sysdba <<EOF
      ALTER DATABASE OPEN READ ONLY;
      EOF
      

    Rollback and Bounded Recovery Procedures

    Rollback Tripwires (Active during Phase 3 Canary)

    If any of the following tripwire conditions occur during canary traffic shifting, the Ingress Routing Operator must

    TRIGGER IMMEDIATE ROLLBACK:

    • HTTP 5xx error rate on Aurora exceeds 0.10% over any 2-minute rolling window.
    • p99 write latency on Aurora exceeds 15.0 ms over any 5-minute rolling window.
    • Unhandled database deadlock count exceeds 5 occurrences.
    Emergency Rollback Command (< 60s Execution)

    Actor: Ingress Routing Operator

    python scripts/traffic/set_traffic_split.py --source-weight 100 --target-weight 0 --force-immediate
    
    • Shifts 100% of ingress transactions back to Oracle 19c within 30 seconds.
    • All mutations committed on Aurora during canary execution are safely mirrored to Oracle via reverse CDC.

    Invariants and Contracts

    Zero Scheduled Downtime Invariant [INV-MIG-01]
      Migration procedures must not interrupt continuous retail banking availability.
      Scheduled maintenance windows causing client transaction dropouts are strictly prohibited.
    
    Absolute Balance Reconciliation Floor [INV-MIG-02]
      Customer balance records must achieve 0.00% discrepancy between source and target systems.
      Any un-reconciled account mismatch blocks canary progression automatically.
    
    Mandatory Reverse CDC Sync Invariant [INV-MIG-03]
      During traffic cutover, Reverse CDC from target back to source must be actively verified.
      Cutting over 100% traffic without a synchronized fallback source is prohibited prior to Step 5.1.
    

    Explicit Unknowns

    • Aurora PostgreSQL autovacuum resource contention during month-end batch interest capitalization runs (G-1).
    • Kafka Connect replication lag under network jitter across regional AWS Direct Connect interconnects (G-2).

    Traceability

    ClaimClassificationSourceFreshness
    42M active balance accountsprovidedProgram sizing intakeCurrent
    Peak 8,500 TPS workloadprovidedVolumetric traffic profileCurrent
    Incident INC-3920 $1.4M penalty outageprovidedHistorical post-mortemHistorical
    Zero downtime Strangler Fig cutoverdecidedDavid O'Reilly & Elena Rostova2026-09-15
    0.00% balance discrepancy tolerancedecidedArchitectural invariant INV-MIG-022026-09-15
    Reverse CDC hot standby requirementdecidedArchitectural invariant INV-MIG-032026-09-15
    Prohibition of inline DDL and transformation codedecidedArchitectural invariant ADV-DT-012026-09-15

    Verification

    GateCommandExitEvidence time
    Pre-Flight Connectivity Checkpython scripts/preflight/verify_connectivity.py --dry-run02026-09-15T11:00:00Z
    Schema Parity Rule Syntax Checkpython scripts/preflight/assert_schema_parity.py --validate-config02026-09-15T11:02:00Z
    Reconciliation Query Benchmarkpython scripts/reconciliation/verify_balance_diff.py --test-syntax02026-09-15T11:05:00Z

    Reviewer self-check against migration guide standards:

    Resumable Step Sequence: PASS. Every step specifies actor, working directory, command, expected output, failure behavior, and resume point.

    • Rollback Safety: PASS. Automated sub-60s tripwires backed by active Reverse CDC synchronization.
    • Data Integrity: PASS. 0.00% mathematical balance reconciliation required prior to canary progression.

    Adversarial Rules: PASS. Duplicated truth, unverifiable examples, and orphan documents formally addressed and rejected.

    • Native Markdown: PASS. Native Markdown syntax strictly adheres to rule_markdown.md.

    Open Decisions

    • DEC-MIG-01: Elena Rostova to determine whether shadow traffic mirroring (dark traffic) should run concurrently with Phase 2 for 48 hours to stress-test Aurora connection pooling (Owner: Elena Rostova).

    Next steps

    1. Database Migration Operator deploys AWS DMS baseline replication task in staging environment.
    2. SRE team configures Envoy canary traffic split automation scripts in scripts/traffic/.
    3. Conduct staging game day simulating a Phase 3 rollback drill under synthetic 8,500 TPS load.

    developer-migration-guide-authoring.pdf

    PDF · document

    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Convert migration designs into step-by-step developer instructions.Define resumable migration sequences with clear validation gates.Document specific pre-flight checks and rollback boundaries.Generate audience-specific guides for zero-downtime transitions.

    About this skill

    What it does

    This skill turns an accepted migration design into audience-specific, evidence-backed instructions from identified source state to target state. It does not choose the target, migration strategy, rollout, cutover or rollback policy.

    Use it when

    Use when affected operators, developers, consumers or tenants need an executable guide for an authorized migration path.

    For example: “We need step-by-step instructions for developers migrating from monolithic PostgreSQL user tables to our partitioned DynamoDB user store with zero downtime.”

    What you get

    • Migration Guide Document

    Written as Markdown to <your output folder>/architecture/tasks/<run-id>/migration-guide-authoring/.

    What it will not do

    Do not use for migration architecture/strategy, project planning, production runbook execution, release notes/changelog, API versioning, schema/data migration design or rollback design.

    How it works

    1. Check migration strategy is accepted.
    2. Identify target audience and source/target version boundaries.
    3. Verify prerequisites and pre-flight state checks.
    4. Draft ordered, resumable migration steps.
    5. Establish clear validation checkpoints and gates.
    6. Document bounded troubleshooting and rollback procedures.
    7. Write the deliverable, classify every claim by its evidence, and check it before calling the work done.

    What's in the package

    Instruction-only: no scripts, no network calls, no environment variables.

    • LICENSE.txt
    • SKILL.md
    • agents/openai.yaml
    • assets/output-template-task.md
    • references/domain-rules.md
    • references/operating-rules.md
    • references/output-contract.md

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