Monolithic applications block AI adoption, independent scaling, and Vision 2030 digital agility. Crux decomposes your monolith into independent, AI-ready microservices — without disrupting operations.
Monolithic applications were built for a world where software changed slowly, AI did not exist, and scaling meant buying bigger servers. That world is gone. Saudi Vision 2030 demands digital platforms that can evolve at speed.
Microservices unlock the capability to embed AI models into individual business domains, deploy changes independently, scale specific services under load, and rebuild parts of the platform without touching everything else.
Release any service without coordinating a full application deployment — 8x faster delivery cycles.
Attach AI models to specific services — recommendation engine to the product service, fraud AI to payment.
Scale only the services under load — authentication during peak login, analytics during reporting periods.
Each service chooses the best technology — Python for AI services, Go for high-throughput, Node for real-time.
The safest migration path — progressively build new microservices alongside the monolith, routing traffic incrementally until the monolith is completely replaced. Zero disruption. Used for business-critical systems.
Wrap the monolith with modern APIs that expose its functionality to new systems — enabling AI integration and partner connectivity without touching internal monolith code. Fast value delivery.
Identify natural business domain boundaries using DDD techniques — design microservices that map to real business capabilities. Produces services that are maintainable, testable, and aligned with business language.
Map your application to real business domains using domain-driven design — defining which capabilities belong in which service before writing a single line of code.
Design and build the API gateway layer that routes requests to the appropriate microservice — with rate limiting, authentication, load balancing and observability built in.
Design asynchronous event-driven communication between services using Apache Kafka or RabbitMQ — preventing tight coupling and enabling reliable service-to-service data flow.
Package each microservice as a Docker container and orchestrate with Kubernetes — deployed to AWS Saudi or Azure KSA with auto-scaling and zero-downtime deployments.
Implement service mesh (Istio) for mTLS communication between services, distributed tracing with Jaeger, and unified logging across the entire microservices platform.
Each microservice is designed with an AI integration interface — enabling you to attach ML models, recommendation engines or automation layers to any business service independently.
Our monolithic platform blocked every AI initiative we tried. Crux extracted the order and pricing domains first — those two services alone cut our deployment time from 4 days to 4 hours. The rest followed.
Saudi-based delivery. AI-ready architecture. Zero disruption migration. Crux decomposes your monolith into scalable, independent services that support Vision 2030 digital transformation.