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Series 04 · 8 Parts· 1h 6m

Modernization Risk: Big-Bang vs Incremental

Why big-bang rewrites fail, how incremental replacement controls the risk, and how leadership should choose — the decision and governance behind replacing a system slice by slice.

Start reading · Part 1
Contents
  1. 01 The Big-Bang Rewrite Trap 8 min read A big-bang rewrite rebuilds a legacy system in parallel and switches at one date. Here is why that shape traps so many programs — and the alternative that doesn't.
  2. 02 Why Software Rewrites Fail 9 min read Software rewrites fail for documented structural reasons — the second-system effect, discarded knowledge, a moving target, and the sunk-cost ratchet. Here is each one, and the fix.
  3. 03 Modernization Failure Rate Statistics 8 min read What is the real modernization failure rate? The sourced, dated figures — what each one proves, what it doesn't, and how to use them honestly in a business case.
  4. 04 Business Continuity During Modernization 8 min read How to modernize a legacy system without disrupting operations or freezing the roadmap — keeping the business running and shipping while the system is replaced slice by slice.
  5. 05 Cutover Strategies & Risk 8 min read The migration cutover strategies — big-bang flip, phased, and parallel/canary — and their very different risk profiles. How to choose the one that fits your tolerance for disruption.
  6. 06 Parallel Run Testing Explained 8 min read Parallel run testing runs the modernized system alongside the legacy one on the same inputs and compares the outputs — turning cutover from a leap of faith into a decision backed by evidence.
  7. 07 Rollback & Recovery Planning 8 min read A migration rollback plan is what turns a bad step into a non-event. How to plan recovery before you need it — and why per-slice rollback is the safety net a big-bang can't offer.
  8. 08 How to De-Risk a Modernization Program 9 min read A leadership framework for de-risking modernization — how to choose the shape, structure the engagement, and govern the risk so a large program survives contact with reality.