Challenge
A decade-old monolith blocked hiring and releases; a rewrite was too risky for a revenue-critical system.
Case study · 2024
Product Engineering & R&D
Application modernization without big-bang risk
Application ModernizationJavaPythonMicroservicesCI/CDAgileRelease Management
Client
Revenue-critical enterprise system owner
Engagement
Strangler-fig modernization
Duration
16 months
Year
2024
LegacyLift modernized Java and Python monoliths without a big-bang rewrite. We mapped seams, extracted services iteratively, introduced characterization tests, and renewed the highest-friction UX first — so velocity and latency improved while revenue paths stayed live.
A strangler-fig modernization of Java and Python monoliths into modular services with renewed UX and CI discipline.
Narrative
How the engagement moved from constraints to a shippable system.
Approach
We mapped seams, extracted services iteratively, introduced characterization tests, and modernized the highest-friction UX flows first.
Solution
LegacyLift delivered a living modernization program — measurable velocity gains without a freeze-the-world rewrite.
Scope
What we delivered
Seam map and strangler roadmap
Extracted microservices for critical domains
Characterization and contract test suites
Modernized high-friction UX flows
CI/CD and release management upgrades
Engineer onboarding curriculum for the new architecture
Highlights
What stood out
Release frequency from monthly to weekly
Critical path latency improved 30%
Onboarding time for new engineers halved
No freeze-the-world rewrite required
Engagement flow
A repeatable rhythm from discovery through hardening — tuned to this product’s constraints.
01
Seam mapping
Identified extractable domains and riskiest revenue paths.
02
Characterize & extract
Added characterization tests, then extracted first services.
03
UX renewal
Modernized highest-friction user journeys on the new edges.
04
Operate & teach
Hardened CI/CD and onboarded engineers to the living architecture.
Technology stack
The delivery stack behind this engagement — client surfaces paired with services, data, and infrastructure.
Frontend
Modern Web UINuxt.jsDesign Refresh
Backend
JavaPythonMicroservicesStrangler Fig
Delivery
CI/CDCharacterization TestsRelease Management
Outcomes
01
Release frequency from monthly to weekly
02
Critical path latency improved 30%
03
Onboarding time for new engineers halved
Looking ahead
Continue extraction for remaining batch jobs and reporting modules.
More work
Onboard the Apeiriion express
Tell us about your product, platform, or modernization goal — we'll assemble a senior squad and a clear delivery plan.