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Monolith-to-Microservices Experts
Monolith to Kubernetes Migration: Microservices Transformation Done Right
Decompose your monolith into cloud-native microservices on Kubernetes. Strangler fig pattern, domain-driven design, and phased delivery without big-bang rewrites.
30+
Monoliths Decomposed
Incremental
Strangler Fig Approach
Zero-Downtime
Production Cutover
Trusted by teams modernizing monolithic applications
Break Free from Monolith Constraints
Monolithic architectures become bottlenecks as organizations grow. Every change requires a full deployment. Teams step on each other's code. Scaling means scaling everything, even the parts that don't need it. The solution isn't a risky big-bang rewrite—it's incremental decomposition using the strangler fig pattern.
Our team has decomposed 30+ monoliths into cloud-native microservices on Kubernetes. We use domain-driven design to identify service boundaries, implement API gateways for traffic routing, and deploy each new microservice to EKS, AKS, or GKE while the monolith continues running.
The result: independent team velocity, service-level scaling, faster deployments, and a modern architecture—delivered incrementally with zero production downtime.
Monolith vs Microservices on Kubernetes
What changes when you decompose your monolith
Organizations that decompose monoliths into microservices achieve dramatic improvements in deployment velocity, team autonomy, and system resilience.
Monolithic Application
- Single deployable unit—all or nothing
- Shared database with tight coupling
- Single tech stack for everything
- Scale entire application for one component
- One failure can crash everything
- Teams blocked by shared codebase
Microservices on Kubernetes
- Independent services deployed separately
- Database-per-service with clear ownership
- Polyglot services using best-fit technologies
- Scale individual services based on demand
- Circuit breakers and bulkhead isolation
- Autonomous teams with independent release cycles
Monolith Decomposition Services
End-to-end monolith-to-microservices transformation
Domain-Driven Decomposition
Analyze your monolith's domain model to identify bounded contexts and service boundaries. We use domain-driven design principles to define microservices that align with business capabilities, ensuring each service has clear ownership and minimal coupling.
- Bounded context identification
- Service boundary definition
- Data ownership mapping
- API contract design
Strangler Fig Implementation
Incrementally extract microservices from your monolith using the strangler fig pattern. We route traffic between the monolith and new services via an API gateway, allowing gradual migration without rewriting everything at once.
- Incremental service extraction
- API gateway routing setup
- Traffic splitting configuration
- Feature flag-based rollout
API Gateway & Service Mesh
Implement API gateways and service mesh for secure, observable microservices communication. We deploy Istio or Linkerd for traffic management, mutual TLS, and distributed tracing across your Kubernetes environment.
- API gateway deployment
- Service mesh implementation
- mTLS & traffic encryption
- Distributed tracing setup
Data Decomposition & Event-Driven Architecture
Split shared databases into per-service data stores and implement event-driven communication patterns. We use message brokers (Kafka, RabbitMQ, NATS) and the saga pattern for distributed transactions across microservices.
- Shared database decomposition
- Event-driven messaging setup
- Saga pattern implementation
- Data consistency strategies
Microservices Architecture Patterns
Proven patterns for successful decomposition
Strangler Fig Pattern
Incrementally replace monolith functionality by routing traffic to new microservices via an API gateway.
Database per Service
Each microservice owns its data store, eliminating shared database coupling and enabling independent scaling.
Event-Driven Communication
Asynchronous messaging via Kafka or NATS for loose coupling between services.
API Gateway Routing
Centralized entry point for routing, authentication, rate limiting, and traffic splitting between monolith and services.
Circuit Breaker Pattern
Prevent cascading failures with circuit breakers, retries, and bulkhead isolation between services.
Saga Pattern
Manage distributed transactions across microservices with compensating actions for consistency.
Our Monolith Decomposition Process
Incremental transformation without big-bang risk
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Domain Analysis & Service Design
Conduct domain-driven design workshops with your team to identify bounded contexts, define service boundaries, and map data ownership. Produce a decomposition roadmap prioritized by business value and coupling.
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API Gateway & First Service
Deploy an API gateway in front of the monolith and extract the first microservice. Route traffic between monolith and new service. This validates the architecture and builds team confidence.
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Iterative Extraction
Extract services one by one following the strangler fig pattern. Each service gets its own database, CI/CD pipeline, and Kubernetes deployment. The monolith shrinks with each iteration.
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Monolith Retirement
After all critical services are extracted, retire the remaining monolith. Implement service mesh for observability and set up platform engineering practices for long-term operations.
Why Choose Tasrie IT Services for Monolith Decomposition
Proven microservices transformation experience
30+ Monoliths Decomposed
Track record across Java, .NET, Python, and Node.js monoliths
No Big-Bang Rewrites
Strangler fig pattern delivers value incrementally without production risk
DDD & Architecture Expertise
Domain-driven design workshops ensure service boundaries align with business
Full Platform Delivery
Kubernetes, CI/CD, observability, and service mesh—everything your microservices need
What makes us different
We're not a typical consultancy. Here's why that matters.
No vendor bias
No commissions, no referral incentives, no behind-the-scenes partnerships. We stay neutral so you get the best option — not the one that pays.
Engineering-first, not sales-first
All engagements are led by senior engineers, not sales reps. Conversations are technical, pragmatic, and honest.
Technology chosen on merit
We help you pick tech that is reliable, scalable, and cost-efficient — not whatever is hyped or expensive.
Built around your real needs
We design solutions based on your business context, your team, and your constraints — not generic slide decks.
Trusted Microservices Transformation Partner
What our customers say about our decomposition services
"Their team helped us improve how we develop and release our software. Automated processes made our releases faster and more dependable. Tasrie modernized our IT setup, making it flexible and cost-effective. The long-term benefits far outweighed the initial challenges. Thanks to Tasrie IT Services, we provide better youth sports programs to our NYC community."
Anthony Treyman
Kids in the Game, New York
"Tasrie IT Services successfully restored and migrated our servers to prevent ransomware attacks. Their team was responsive and timely throughout the engagement."
Rose Wang
Operations Lead
"Tasrie IT has been an incredible partner in transforming our investment management. Their Kubernetes scalability and automated CI/CD pipeline revolutionized our trading bot performance. Faster releases, better decisions, and more innovation."
Shahid Ahmed
CEO, Jupiter Investments
"Their team deeply understood our industry and integrated seamlessly with our internal teams. Excellent communication, proactive problem-solving, and consistently on-time delivery."
Justin Garvin
MediaRise
"The changes Tasrie made had major benefits. Fewer outages, faster updates, and improved customer experience. Plus we saved a good amount on costs."
Nora Motaweh
Burbery
Our Industry Recognition and Awards
Discover our commitment to excellence through industry recognition and awards that highlight our expertise in driving DevOps success.
Monolith to Microservices FAQs
Common questions about monolith decomposition
Should we rewrite our monolith from scratch or decompose incrementally?
Almost always decompose incrementally. Full rewrites are high-risk, expensive, and often fail. The strangler fig pattern lets you extract microservices one at a time while the monolith continues running. Each extracted service delivers value immediately without waiting for a complete rewrite. Our DevOps consulting team implements this pattern with CI/CD automation.
How do you identify which parts of the monolith to extract first?
We prioritize based on business value, change frequency, and coupling. Components that change often, have distinct business domains, or cause deployment bottlenecks are extracted first. We use domain-driven design workshops with your team to map bounded contexts and define service boundaries that align with team structure.
How do you handle the shared database problem?
Shared databases are the hardest part of decomposition. We follow a phased approach: first, introduce a data access layer in the monolith. Then, split tables by service ownership using the database-per-service pattern. For cross-service queries, we implement event-driven data replication or CQRS patterns. Data consistency is maintained via sagas and eventual consistency.
How long does a monolith-to-microservices migration take?
It depends on the monolith's size and complexity. Extracting 2-3 initial services typically takes 2-4 months. A full decomposition of a large monolith into 10-20 microservices may span 6-18 months with phased delivery. Each phase delivers working microservices in production. Contact us for a detailed assessment.
What technology stack do you use for microservices on Kubernetes?
We're stack-agnostic and work with your team's preferred languages. Common patterns include Spring Boot (Java), .NET, Go, Node.js, and Python with containerized deployments. For infrastructure, we use Terraform for provisioning, Helm for packaging, ArgoCD for GitOps, and Istio or Linkerd for service mesh.
Ready to Decompose Your Monolith?
Get a free architecture assessment. We'll analyze your monolith, identify service boundaries, and provide a decomposition roadmap with timelines and effort estimates.
"We build relationships, not just technology."
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Faster delivery
Reduce lead time and increase deploy frequency.
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Reliability
Improve change success rate and MTTR.
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Cost control
Kubernetes/GitOps patterns that scale efficiently.
No sales spam—just a short conversation to see if we can help.
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