Monolith To Microservices Migration Services
NextPage helps engineering and product leaders split tightly coupled monoliths into clearer services with domain mapping, strangler migration, API contracts, data ownership, DevOps automation, observability, and rollout waves planned before code moves.
Built for
Teams with a valuable monolith that still runs the business but now slows releases, creates scaling bottlenecks, hides domain ownership, makes integrations brittle, or forces too many teams through one risky deployment path.
A service decomposition roadmap that separates domain boundaries, dependency risk, data ownership, API contracts, rollout waves, and platform prerequisites.
Incremental migration using strangler and coexistence patterns so teams can extract high-value capabilities without pausing the business.
A modernized delivery foundation with automated releases, observability, service-level ownership, integration testing, and post-migration stabilization.
Why this matters
The best outsourcing and software projects work because expectations, ownership, and delivery rituals are clear from the first week.
One monolithic codebase controls too many product areas, so small changes require broad regression checks, shared release windows, and coordination across teams.
Scaling problems are concentrated in specific modules, but the current architecture forces the whole application to scale, deploy, or fail together.
Business domains, data ownership, APIs, jobs, integrations, and operational responsibilities are unclear, making service boundaries risky to choose.
A full rewrite is too disruptive, but incremental migration needs a practical strangler path, coexistence plan, routing strategy, and rollback thinking.
Microservices will increase operational complexity unless CI/CD, observability, testing, service ownership, and incident response are planned early.
Leadership needs to know which parts should become services, which parts should stay in the monolith, and which platform work must happen first.
What we build
We shape the scope around the result you need, the systems you already have, and the first release that can create value.
Review the current monolith, deployment process, database model, integrations, team structure, release pain, and scaling pressure before recommending service extraction.
Map business capabilities, ownership, data flows, transaction boundaries, and coupling points so service boundaries follow real operating needs instead of arbitrary modules.
Plan an incremental path that routes selected capabilities out of the monolith while legacy workflows continue to run during the transition.
Design service contracts, event flows, synchronization rules, backward compatibility, and integration tests before extracted services become production dependencies.
Prepare the platform work that microservices need: CI/CD, environment parity, tracing, logs, metrics, alerting, secrets, deployments, and ownership runbooks.
Protect production with regression priorities, integration checks, contract tests, performance baselines, feature flags, monitoring, and post-wave stabilization.
Technology stack
Migration choices depend on the applications, data stores, traffic patterns, compliance needs, and team skills already in place. We plan the stack so the move improves reliability instead of only changing the hosting bill.
Public, private, hybrid, and multi-cloud foundations for applications, databases, and workloads.
AWS
EC2, RDS, S3, ECS, Lambda
Azure
Apps, databases, identity
Google Cloud
Compute, storage, data
Private cloud
Controlled environments
Repeatable infrastructure patterns that make cutover, rollback, and environment parity easier to manage.
Docker
Application packaging
Kubernetes
Container orchestration
Terraform
Infrastructure as code
CI/CD
Release automation
Database and file migrations planned around consistency, downtime windows, backup policy, and validation.
PostgreSQL
Relational workloads
MySQL
Business platforms
Object storage
Files and media
Replication
Low-risk cutovers
Access, network, and compliance controls that need to move with the workload, not get bolted on later.
IAM
Least-privilege access
VPC design
Network segmentation
Secrets management
Credential control
Backups
Recovery planning
Monitoring, logs, and incident signals that make the migrated system easier to operate after launch.
CloudWatch
AWS monitoring
Sentry
Application errors
Uptime checks
Availability signals
Runbooks
Operational handoff
Testing and cost visibility to make sure the migration improves the system instead of shifting old problems.
Playwright
Critical-flow testing
Load testing
Capacity checks
Cost reports
Spend visibility
Performance audits
Post-move tuning
Delivery model
We keep discovery practical, ship in visible increments, and make ownership clear so you can scale with confidence.
We map modules, database tables, jobs, APIs, dependencies, release flow, scaling bottlenecks, incidents, and team ownership before recommending a migration path.
You get service candidates, sequencing, API and data-contract decisions, platform prerequisites, risk notes, and a first-wave recommendation.
We build or refactor service slices, connect APIs and events, add tests, automate deployments, and keep the monolith and new services stable during coexistence.
After each migration wave, we monitor reliability, review release speed, tune service boundaries, document operations, and decide the next extraction wave.
Engagement options
Choose the model that fits your current stage. We can start small, add specialists, or run a full product pod.
Best when leaders need to decide whether to split the monolith, which services make sense first, and what platform gaps must be solved before extraction.
Best when one bounded capability can be moved first to prove the migration approach, contracts, deployment path, and operating model.
Best when microservices migration is part of a longer modernization roadmap across cloud, DevOps, legacy code, data, APIs, QA, and product delivery.
Proof
NextPage is not starting from theory. The team has built and operated products, platforms, and internal systems with real users.
Maxabout: automotive platform with large-scale search traffic
NextBite: ordering workflows for food entrepreneurs
ChatRoll and OutRoll: communication and outreach products
FAQ
Clear answers help you understand how the engagement works before we get on a call.
Monolith to microservices migration services help teams assess a tightly coupled application, choose sensible service boundaries, plan incremental extraction, design API and event contracts, automate releases, add observability, and move selected capabilities without forcing a risky full rewrite.
A monolith may be ready for microservices when specific domains need independent scaling, separate release cycles, clearer team ownership, better integration boundaries, or cloud-native operations. If the product is small, unstable, or poorly understood, stabilization and modularization may be safer first.
The strangler pattern lets a team route selected features, APIs, or workflows to new services while the monolith keeps running. This reduces big-bang rewrite risk because each migration wave can be tested, monitored, rolled back, and improved before the next extraction.
Usually no. We look for high-value service candidates, low-risk extraction paths, and platform gaps first. Some modules may stay in the monolith, some may be modularized, and only selected capabilities should become services when the business case is clear.
A readiness review covers domain boundaries, database coupling, integration dependencies, release process, test coverage, deployment automation, observability, team ownership, uptime needs, scaling pressure, and operational maturity.
Yes. Microservices need reliable delivery and operations. Migration often includes CI/CD, containerization, cloud architecture, secrets, observability, contract testing, feature flags, and incident-response runbooks alongside application refactoring.
Timeline depends on monolith size, data coupling, test coverage, team readiness, service boundaries, and production risk. A readiness review can happen in a short sprint, while extraction work usually moves in multiple waves over time.
We plan coexistence, routing, rollback triggers, contract tests, monitoring, phased releases, and post-wave stabilization so the monolith and new services can operate together while migration progresses.
Next step
Share your goal, current stack, deadline, and team gaps. We typically respond within 24 hours.
Use the project form first
The form captures your goal, budget, timeline, and service context so we can route the lead, prepare properly, and keep follow-up inside the pipeline.