Extract Microservices. Service by Service.
You know which domains need to come out, but the first cut is missing. Jardis generates the target architecture and API contracts for each service before you migrate a single line.
The monolith is analyzed. Now what?
Most extractions don't fail at analysis, they fail at execution. Between 'we know which services we need' and 'the first service is running' lie months.
No defined target state per service
The domain analysis is on the whiteboard. But which entities belong in which service? What does the internal architecture look like? Without a target structure, every team builds their service differently.
Communication between old and new is undefined
The extracted service needs data from the monolith. But how? Synchronous REST calls, events, shared database? Without defined contracts, the interface becomes the bottleneck.
Weeks of boilerplate per service
Every extracted service needs entities, repositories, command handlers, query handlers, event publishing, API endpoints. Setting this up manually takes weeks. For ten services, that is months of pure infrastructure work.
How Jardis Microservices Extraction Works in Practice.
Three steps: define the domain, start the builder, migrate business logic. For each service individually.
Set schema and aggregates per service
You define the database schema and aggregate structure for the service to be extracted. The builder imports your existing schema as a starting point. You decide which tables and entities move into the new service.
Target architecture and API contracts from the builder
Jardis generates the complete target structure: 3-layer entities, CQRS with commands and queries, domain events, the repository pipeline, and API contracts in OpenAPI and gRPC. The contract defines exactly how monolith and new service communicate.
Move business logic into the generated structure
The infrastructure is in place. Your team moves domain logic from the monolith into the generated commands, queries, and event handlers. The monolith calls the new service through the generated contract. Next service: back to step 1.
See what three files turn into.
Three definition files in, a complete bounded context out. Browse the generated code.
# Database Schema — Sales Bounded Context
# This file defines the persistent storage structure.
schema:
domain: ECommerce
boundedContext: Sales
tables:
order:
columns:
id:
type: integer
primary: true
autoIncrement: true
public_id:
type: uuid7
unique: true
customer_email:
type: string
length: 255
status:
type: string
length: 32
default: "draft"
total_amount:
type: integer
currency:
type: string
length: 3
default: "EUR"
created_at:
type: datetime
updated_at:
type: datetime
nullable: true
order_item:
columns:
id:
type: integer
primary: true
autoIncrement: true
order_id:
type: integer
foreignKey:
table: order
column: id
onDelete: cascade
product_name:
type: string
length: 255
sku:
type: string
length: 64
quantity:
type: integer
unit_price:
type: integer
line_total:
type: integer
Why Teams Extract Services with Jardis.
Because infrastructure should not be the hard part.
Every Service Has the Same Structure
Hexagonal architecture with CQRS, domain events, and repository pipeline. Generated, not interpreted. The third extracted service looks exactly like the first.
Same Workflow for Every Service
Define the schema, start the builder, migrate business logic. The process is identical for order, payment, shipping, or any other domain. No service is a special case.
API Interface Defined Before the Code
OpenAPI and gRPC contracts are generated together with the service. Frontend, monolith, and other services know exactly how to call the new service. No surprises at go-live.
Ready to extract the first service from your monolith?
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Discover JardisFrequently Asked Questions
Answers about microservices extraction with Jardis.
The one with the clearest domain boundaries and the highest pain potential. Jardis helps with the target structure, not the domain analysis. Start with a bounded context that has few incoming dependencies, for example notifications or billing.