Companies with 10+ Year Old Codebases
Organizations sitting on large legacy monoliths that have become too risky and expensive to change, deploy, or scale.
Stop Dreading Every Deploy.
Modernize Incrementally.
Strangler-fig migrations from monolith to microservices — no downtime, no big-bang rewrites.
Trusted across Europe
Industries we serve.
Engineering teams in regulated, mission-critical industries — every engagement audited, documented, and production-graded.
Banking & Payments
FinTech
PCI-DSS compliant payments and core banking infrastructure — sub-100ms p99 latency, end-to-end audit trail, and tokenization at the edge.
PCI-DSS · ISO 27001
Patient Data
Healthcare
HIPAA-aware patient data pipelines
HIPAA · SOC2
5G & Networks
Telecom
5G core network observability at scale
NFV · ETSI MANO
Retail & Marketplaces
E-Commerce
99.99% uptime during peak traffic events
PCI-DSS · GDPR
Sovereign & Public
Government
Sovereign cloud with full audit trails
eIDAS · FIPS 140-2
Fleet & IoT
Logistics
Real-time fleet tracking & IoT ingestion
MQTT · OPC-UA
10x Deploy FreqRelease Velocity
Zero DowntimeMigration Strategy
IncrementalStrangler Fig Approach
Domain-DrivenService Boundaries
What we deliver
Our modernization services
End-to-end monolith decomposition for scalable microservices architectures
Modernize without the risk of a big-bang rewrite. We incrementally replace monolith components with microservices while keeping the system running in production — zero downtime guaranteed.
0 downtime · ↓ 90% migration riskDefine clean service boundaries that align with your business, not your database schema. We use domain-driven design to identify bounded contexts and eliminate hidden coupling.
↑ 10x deploy frequency · ↓ 80% couplingShield consumers from the migration in progress so nothing breaks. We build an API gateway and facade layer that decouples frontend and third-party integrations from backend changes.
0 consumer disruption · ↓ 60% integration bugsEliminate the shared database bottleneck that keeps your monolith monolithic. We separate into per-service data stores with event-driven synchronization patterns for consistency.
↓ 70% DB contention · ↑ 5x query performanceGet your extracted services production-ready on Kubernetes from day one. We containerize with Docker, implement Helm charts, and orchestrate deployments with automated rollbacks.
↓ 50% infra cost · ↑ 3x resource utilizationSee exactly what is happening across your migrating system in real time. We implement distributed tracing, structured logging, and metrics dashboards for end-to-end visibility.
↓ 80% MTTR · 100% trace coverageFree assessment
Get a free Monolith to Microservices assessment
Our engineers review your current setup and deliver a prioritized roadmap — no strings attached.
Who we help
Teams ready to scale
The three profiles where this engagement usually pays back fastest.
Teams Blocked by Dependencies
Development teams that cannot deploy independently because every release requires coordinating across the entire monolith.
CTOs Planning Modernization
Technical leaders who need a pragmatic, low-risk roadmap to decompose their monolith without a costly big-bang rewrite.
Modernization
E-Commerce Monolith Decomposition
01 / 02
A large e-commerce company needed to break apart their aging monolith to accelerate feature delivery and reduce deployment risk.
Tech stack
JavaSpring BootKubernetesKafka
500K lines of Java monolith code with 2-week release cycles and a 30% deployment failure rate blocking business growth.
Applied the strangler fig pattern over 6 months with domain-driven decomposition, extracting services incrementally while keeping the system live.
Weekly releases, deployment failure rate dropped to 5%, and teams now deploy their services independently.
Outcomes & method
Modernization without the risk
Monolith-to-microservices migration does not have to be a risky big-bang rewrite. Our incremental approach decomposes your application domain by domain, keeping the system live and reducing risk at every step.
Business outcomes
- 01
Deploy 10x more frequently
Independent services with their own release cycles eliminate the coordination bottleneck of monolithic deployments.
- 02
Zero-downtime migration
The strangler fig approach keeps your system live throughout the migration — no big-bang cutovers required.
- 03
Reduced technical debt
Decomposition surfaces hidden coupling, eliminates shared state, and produces cleaner, more maintainable code.
How we implement
- 01
Map & prioritize
We analyze your monolith, map domain boundaries, and prioritize services to extract based on business value and risk.
- 02
Extract & decouple
We implement strangler fig patterns, build API layers, decouple databases, and containerize extracted services.
- 03
Validate & iterate
We add observability, run parallel testing, and iterate on the migration plan as the system evolves.
Engagement model
How we work
From first call to production — a proven 4-step engagement model that keeps the conversation transparent and the velocity honest.
- 01
Discovery
We audit your current stack, identify gaps, and align on business goals.
- 02
Assessment
A detailed roadmap with priorities, effort estimates, and quick wins.
- 03
Delivery
Our engineers embed with your team and execute sprint by sprint.
- 04
Support
Ongoing monitoring, optimization, and knowledge transfer to your team.
Related disciplines
Related services
Adjacent practices that pair well with this one — most engagements blend two or three.
Common questions
Frequently asked questions
Practical answers about scope, timelines, and how engagements with our Monolith to Microservices team usually look.
It depends on the size and complexity of your monolith. A typical first service extraction takes 4-6 weeks. Full decomposition of a large monolith is usually a 6-12 month journey, done incrementally. We start with a 2-week assessment to map your monolith and build a prioritized roadmap.
No — that is exactly what we avoid. The strangler fig pattern lets us extract services incrementally while keeping your existing system running. We only rewrite the parts that need it, and many components can be lifted and shifted with minimal changes.
A 2-hour deep dive into your monolith architecture, deployment process, and pain points. You receive a written report with domain boundary analysis, recommended extraction order, risk assessment, estimated timeline, and a prioritized modernization roadmap.
No. The strangler fig approach runs old and new components side by side. Traffic is gradually shifted from the monolith to the new services. We run parallel testing to validate behavior before cutting over — zero downtime is a core principle of our approach.
We prioritize based on three factors: business value (most impactful domains first), risk (lowest coupling and simplest data models first), and team readiness. The goal is to deliver visible wins early while building confidence and capability for harder extractions.
Talk to engineering
Let's talk about your Monolith to Microservices strategy
Whether you're starting from scratch or scaling what you have, our engineers are ready to help.