We migrate monolithic, outdated platforms to modern cloud-native architectures using proven incremental strategies — improving performance, developer velocity, and business agility without risking a catastrophic all-at-once rewrite.
Everything required to migrate from legacy to cloud-native — with zero disruption to your operations.
Incrementally replace legacy components without touching the existing system — routing traffic gradually to new microservices while the monolith continues operating. The safest path to modernisation.
Break monolithic codebases into independently deployable services with well-defined API contracts — enabling teams to move faster, deploy independently, and scale specific bottlenecks without touching everything.
Containerise your application with Docker and deploy on Kubernetes for cloud-agnostic, auto-scaling, self-healing infrastructure. Run identically on AWS, Azure, GCP, or on-premise.
Automated test-and-deploy pipelines on GitHub Actions, GitLab CI, or Jenkins. Cut release cycles from weeks to hours, with automated quality gates that catch issues before they reach production.
Lift-and-shift, re-platforming, or full re-architecture — we're certified across all major cloud providers and choose the right migration strategy based on your cost, compliance, and performance requirements.
Database query optimisation, caching layers (Redis, Memcached), CDN configuration, and application profiling to eliminate bottlenecks and achieve 10× performance improvements on the same infrastructure cost.
Structured to minimise risk and deliver value at every stage — not just at the end.
We document your current architecture, identify technical debt, assess dependencies, and produce a risk register before any work begins.
A phased delivery plan with clear milestones, prioritised by business impact. No surprises — you know exactly what's happening and when.
Strangler-fig approach: new services are built alongside the legacy system. Traffic is routed incrementally, with rollback capability at every step.
Cloud infrastructure provisioned as code (Terraform), Kubernetes clusters configured, CI/CD pipelines built, and monitoring stack deployed.
Comprehensive load testing, security scanning, and a staged cutover with real-time monitoring. Legacy system remains live until confidence is 100%.
Post-launch DevOps support, runbook documentation, team training, and optional managed services to keep your platform running at peak performance.
From enterprise monoliths to cloud-native platforms — done without disruption.
Apex had a 12-year-old monolithic Java application that was increasingly difficult to maintain, deploy, or scale. We led a strangler-fig migration to a microservices architecture on AWS — running both systems in parallel for 6 months before the final cutover. The result was a 10× performance improvement, zero downtime during migration, and a 95% reduction in deployment time from 4 hours to under 12 minutes.
FinanceCore's legacy .NET monolith was blocking product velocity — their engineering team spent more time managing deployments than shipping features. We delivered an 8-month re-architecture to domain-driven microservices on Azure Kubernetes Service, with automated CI/CD pipelines and a comprehensive observability stack. Post-launch uptime: 99.99% over 12 months, with release frequency improving from monthly to daily.
Everything you need to know before booking a call.
Yes, for the vast majority of scenarios. Our strangler-fig approach keeps the legacy system live throughout the migration, routing traffic incrementally to new services only after validation. Full cutover happens in a controlled way with instant rollback capability. We've never had an unplanned outage during a migration.
It depends heavily on the size and complexity of your existing system. A focused modernisation of a mid-sized monolith typically takes 6–12 months. Enterprise-scale projects can take 18–24 months. We always deliver value in phases, so you see improvements well before the project concludes. We'll give you a precise timeline after the initial legacy audit.
Named after the strangler fig vine that slowly grows around a host tree, the strangler-fig pattern involves building new functionality as independent services alongside the existing system. A routing layer directs traffic to old or new services. Over time, the new system handles more and more of the workload until the legacy system can be safely decommissioned — with no big-bang cutover risk.
We work closely with your engineering team throughout — this is a knowledge transfer as much as a delivery project. We document everything, pair with your developers on complex areas, and aim to leave your team fully capable of owning and evolving the new architecture independently. Involvement typically means 4–8 hours per week from a technical lead or architect on your side.
We help you model the ROI during discovery. The calculation typically includes: reduced infrastructure costs (cloud right-sizing), reduced engineering time on maintenance, faster feature delivery velocity, reduced incident frequency, and improved ability to scale. For most clients, the engineering productivity gains alone pay for the project within 12 months.
Book a free 30-minute call. We'll review your current architecture, identify the biggest bottlenecks, and outline a realistic modernisation path.