You will get a phased, verifiable plan to migrate your monolith to microservices
Project details
Most monolith migrations fail the same way: a rewrite starts in parallel, drifts for a year, and never ships. This is the plan that avoids that — incremental, verifiable, and reversible at every step.
You get your system split into bounded contexts with the data ownership boundaries that actually matter; a strangler-fig sequence saying which slice moves first and why that one; the parity strategy — how you prove the new path produces the same results as the old one BEFORE you switch, which is the part most plans skip and most migrations die on; the data migration approach (dual writes, backfill, consistency windows, rollback); an effort estimate per phase with the risk that could derail it; and an explicit list of what NOT to migrate, because a migration should shrink the system, not port it.
I'm doing exactly this right now as the sole engineer owning the architecture on a platform used by millions — including the shadow-run validation that proves parity before cutover.
Sample roadmap attached. If the honest answer is that your monolith doesn't need splitting yet, I'll tell you that instead.
You get your system split into bounded contexts with the data ownership boundaries that actually matter; a strangler-fig sequence saying which slice moves first and why that one; the parity strategy — how you prove the new path produces the same results as the old one BEFORE you switch, which is the part most plans skip and most migrations die on; the data migration approach (dual writes, backfill, consistency windows, rollback); an effort estimate per phase with the risk that could derail it; and an explicit list of what NOT to migrate, because a migration should shrink the system, not port it.
I'm doing exactly this right now as the sole engineer owning the architecture on a platform used by millions — including the shadow-run validation that proves parity before cutover.
Sample roadmap attached. If the honest answer is that your monolith doesn't need splitting yet, I'll tell you that instead.
Programming Languages
JavaWhat's included
| Service Tiers |
Starter
$600
|
Standard
$1,200
|
Advanced
$2,200
|
|---|---|---|---|
| Delivery Time | 7 days | 12 days | 18 days |
Number of Revisions | 1 | 1 | 2 |
Number of Pages | 12 | 25 | 35 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Implementation support — 1 week
(+ 7 Days)
+$1,800
Live walkthrough with your team — 2h
(+ 2 Days)
+$250
Follow-up review after 30 days
(+ 3 Days)
+$400Frequently asked questions
About Ilias
Senior Java Developer | Spring Boot, Kafka | Legacy Migration
Lille, France - 11:25 am local time
microservices — no big-bang rewrite, no downtime, and proof the new
system matches the old one before you switch.
Your monolith still works. Until traffic spikes, a batch job fails
silently, or a release takes three weeks. Rewriting it from scratch is
how most teams turn an 18-month problem into a 3-year one.
I do the other thing: I carve the monolith into services one bounded
context at a time, and I prove equivalence before each switchover.
WHAT I DO
- Legacy modernization: PHP/Symfony, Java 8/11/17/21/25, Spring Boot,
hexagonal architecture, strangler-fig migrations
- Event-driven systems: Apache Kafka, Kafka Streams, Avro, schema
registry, exactly-once semantics, consumer lag and autoscaling
- Migration safety: parity harnesses that replay production data through
both systems and diff the output, so the cutover decision is evidence,
not hope
- Backend: PostgreSQL, S3, REST APIs, Docker, Kubernetes, CI/CD,
observability
RECENT WORK
- Sole engineer and technical owner of a legacy PHP/Symfony to Java 25 /
Spring Boot migration on a platform processing millions of sport
activities. I own the architecture, the cutover plan, and the parity
proof.
- Technical lead on high-traffic public-sector platforms used by millions
for revenue declaration and payment (Java/Angular).
- Built a real-time Kafka Streams pipeline for a public institution:
a month of backfills in a single afternoon.
- Fixed a consumer-lag problem autoscaling couldn't solve, with Java 21
virtual threads.
HOW WE START
Most clients start with a fixed-price audit (5 days) or a phased
migration plan (7 days) — see my project catalog below. You get a
written deliverable you own, whether or not we work together after.
Master's degree, University of Lille. English fluent, French and Arabic
native. Based in France, comfortable across US and EU hours.
Steps for completing your project
After purchasing the project, send requirements so Ilias can start the project.
Delivery time starts when Ilias receives requirements from you.
Ilias works on your project following the steps below.
Revisions may occur after the delivery date.
Kick-off and system walkthrough
Repository walkthrough or a 60-minute call on how the system grew and where it hurts.
Domain analysis
Bounded contexts, data ownership, and the coupling that decides the migration sequence.