Making Mission-Critical Systems move: platform migrations done right

Why migrations fail

Let’s start with learning from failure. The technology sector is famous for its extremes: at one end there is true and proven transformation, innovation and reinvention of entire industries. At the other end, drastic overruns, diabolical lack of progress against investment, and failed technology migrations.

It’s a pattern familiar to anyone who’s sat through a digital transformation team meeting: a platform migration is scoped, a budget is approved, a consultancy is engaged, and then… nothing ships. Months pass. The discovery phase expands. The architecture documents multiply. Another working group is formed. Meanwhile, the legacy system keeps running, the risk keeps compounding, and the invoices keep coming.

Platform migrations fail for reasons that are remarkably consistent across public sector and regulated industries. In our experience - where we’ve picked up some failed “big consultancy” migrations and set them right - we’ve seen the following evidence:

• Scope creep driven by analysis paralysis. The temptation to map every edge case before writing a single line of code is overwhelming, especially when the billing model rewards hours spent, not outcomes delivered.
• Big-bang thinking. The assumption that everything must switch over on the same day. So this means nothing goes live until everything is ready. Which means nothing is ever ready.
• Loss of institutional knowledge. The people who understand the legacy system are rarely the people building the replacement. The gap between what the system does and what the documentation says it does, grows wider every month.
• Vendor lock-in, presented as partnership. Proprietary platforms that make extraction expensive and interoperability an afterthought.
• Risk aversion that creates more risk. The fear of migration failure leads to extended timelines, which extend the period during which the legacy system is the only option, which increases the very risk the delay was meant to mitigate.

Most migration failures aren’t technical. They’re commercial and organisational. They’re about people. When your incentive structure rewards presence over progress, you get plenty of the former and none of the latter.

The cost of standing still

Before we talk about how to migrate well, let’s acknowledge that staying put is not the safe option it appears to be, particularly not for critical citizen infrastructure given the very real threats out there.

Legacy systems don’t stand still. They decay. Every month that passes without modernisation, the risk profile shifts. IT Leaders in the public sector understand this acutely:

Stat	Detail
67%	Of public sector IT leaders cite legacy systems as their top security risk
3.5×	Higher cost to maintain legacy platforms vs. modern equivalents
18 months	Average time to recruit for legacy skillsets that are disappearing

An outdated codebase is a security liability, a compliance exposure, and a talent drain. The developers who know the language, or even the particular flavour of framework your system was built on fifteen years ago, are not getting easier to find.

And there’s the opportunity cost. While your team is patching workarounds on a system that was architecturally suited to a different era, peer organisations are building on platforms that support real-time data, modern integrations, and the kind of user experience that citizens now expect as standard.

That means that every month of delay isn’t a month of stability, it’s the opposite. It’s a month of compounded technical debt, heightened risk exposure, and widening capability gaps. The “safe” option is the riskiest one on the table.

A practical approach that doesn’t take years

Again we’re seeing headlines about bigger consultancies taking years to deliver working migrations in the public sector. But the alternative to the three-year death march is about discipline.

• Start with the risk, not the wish list: Identify the specific components where the risk of staying is highest. Unsupported dependencies, data that’s increasingly exposed, integrations that fail silently. Prioritise those. Everything else can wait.
• Migrate incrementally, not all at once: The “strangler fig” pattern isn’t new, but it’s still the most effective approach for mission-critical systems. Replace components one at a time. Route traffic progressively. Validate in production, not in a staging environment that approximates nothing.
• Ship working software every sprint: If your migration plan doesn’t have something in production within the first month, it’s not a migration plan. It’s a consulting engagement. Every iteration should produce something real that stakeholders can see, use, and validate.
• Automate the verification: Don’t rely on manual regression testing cycles that take weeks. Build parity checks into the migration from day one. Automated comparison of outputs between old and new systems removes the debate about whether something works.
• Own the data layer: Migrations that treat the data model as an afterthought always come unstuck. Get the data layer right (the schemas, the migrations, the validation) first.

Traditional Approach	Iterative Approach
6-12 month discovery phase	2-4 week focused discovery
Big-bang cutover weekend	Progressive, component-by-component rollout
Manual regression testing	Automated parity verification
Go-live followed by stabilisation period	Continuous delivery from sprint one
Scope locked before development starts	Scope informed by production learning
Value realised at the end	Value realised from week four

Marino Migrate, Modernise & Public 2030

This is precisely why we built Marino Migrate: a structured migration framework designed to get mission-critical systems onto modern platforms without the three-year timeline. It’s complemented by Marino Modernise, which addresses the broader technical debt landscape, and Marino Public 2030, which aligns platform strategy with the digital transformation targets that public sector bodies are working towards.

These aren’t abstract methodologies. They’re the same approaches that delivered for our clients: Met Éireann, Irish Rail, NTMA and others. The patterns are proven. The risk is understood. The path exists.

Platform migration doesn’t have to be a multi-year ordeal that consumes budgets and careers. It can be focused, incremental, and measured by what’s in production, not what’s in the backlog. At Marino Software, we know how to do it and to get it done.