A library to boost confidence when making code changes
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Updated
Sep 23, 2026 - C#
A library to boost confidence when making code changes
PowerShell script that proves a declared list of firewall paths is open: probes each source, target and port once, returns a pass/fail matrix and HTML, CSV and JSON reports, and exits non-zero when a required path fails.
A typed Python work-order service for short-TTL DNS cutover and rollback.
Application migration cutover runbook check: reads a JSON or CSV runbook and flags missing phases, change steps with no rollback, no backup before the data move, no go/no-go gate, unknown or cyclic dependencies, and a critical path longer than the downtime window, plus 7 Rs strategy mismatches and missing sign-off. No dependencies.
A reproducible CDC cutover and replay project for validating event ordering, recovery behavior, and consistent state transitions during database change-data-capture migrations.
Coordinate Vitess Online DDL across every shard of a keyspace. Submits with --postpone-completion, holds a global cutover barrier until all shards report ready and none is lagging, then completes them together — turning per-shard schema skew into zero. Live progress, throttle guard, revert, resumable journal, and a deterministic cluster simulator.
Live on-prem MySQL to Aurora migration with AWS DMS: full load + CDC while orders kept arriving, row-by-row validation, a gated cutover with automatic rollback (284.8 s measured downtime), two trap drills (binlog off, premature cutover), and a MySQL to PostgreSQL comparison of what DMS does not carry across.
Risk framework for large cloud migrations: threat model, rollback criteria, SEV model, go/no-go gates, communication plans.
Open-source playbook generator for ERP and infrastructure cutovers — go/no-go checkpoints, dependency mapping, rollback triggers
Check DNS propagation of a record across 18 public resolvers worldwide — parallel queries, consensus detection, watch mode, and CI-friendly exit codes. Python CLI, zero config.
Platform-neutral implementation-readiness foundation: requirements, eight synthetic validation cases, readiness, rollback, and support handoff. Related Atlassian work: IRW.
Large Scale Tech: How Fortune 100 Company Projects Really Work, September 17 2026. Talk by John Wesly Sajja of Deloitte on data migration, cutover, and hypercare.
Reconciles primary keys and compares column aggregates between the legacy table and the new warehouse, so a cutover that reports success while short 42 orders gets blocked instead of signed off.
A typed two-stage DNS cutover service for four storefront workflows with an explicit rollback snapshot.
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