All solutions
Solution

Replatform from a monolith without freezing your roadmap

A staged, low-risk path out of a monolith that does not require pausing feature delivery.

6 to 9 months for a single critical service; 18 to 24 months for a complete replatform.

You probably need this if

  • Single deployable that takes more than 10 minutes to ship
  • Database touched by every team, schema changes scare everyone
  • Roll-outs blocked because "anything could break"
  • New engineers take three months to make a safe change

How we approach it

Replatforming a monolith almost never works as a six-month freeze. Kiebot ships replatforms incrementally: identify the seams, extract the right service first, build the test harness around the boundary, then peel the next layer. Feature delivery continues on the monolith until the last service is extracted.

  1. 1

    Seam audit

    A two-week paid audit identifies the real boundaries: which modules talk to which database tables, which workflows actually need to scale, and which areas are quiet enough to leave alone.

  2. 2

    Strangler pattern

    New work lands in a service behind a feature flag, with a router that gradually steers traffic from the monolith to the new service. Roll back any time by flipping the flag.

  3. 3

    Data ownership

    Each new service owns its data. Schema changes happen behind a clean API instead of in the shared monolith database. This is the slowest, most important step.

  4. 4

    Observability first

    OpenTelemetry traces span the monolith and the new services from day one, so on-call sees the whole picture even mid-migration.

  5. 5

    Decommission

    When traffic on the monolith path drops below 5%, we delete the code. This is the most satisfying part of the project.

What you should expect

  • Mean deploy time drops from hours to minutes
  • On-call paging volume drops by 30 to 60% within a quarter
  • New engineers ship their first PR in week two, not month three

Related

Stacks to hire

Common industries

Frequently asked questions

Can you replatform without slowing feature delivery?+

Yes. We default to the strangler pattern where 70% of the team continues on the monolith roadmap while a dedicated extraction pod migrates one service at a time.

What if the database is the real bottleneck?+

Then the migration starts with data. We separate read paths first (read replicas owned by new services), then write paths, then the schema. Slow but irreversible.

Should we use microservices?+

Only if the team size and product surface justify it. We have replatformed monoliths into modular monoliths just as often as into microservices. The right answer depends on your team, not the trend.

Want to talk this through?

Twenty minutes on a call, no slide deck. We will tell you straight whether this engagement fits or what would.

Talk to Kiebot