Greenfield Microservices from Day 1. Without the Distributed Monolith.
You are starting a new system and you know it: microservices, not monolith. The question is not whether, but how you make the first cut without ending up six months later in a distributed monolith.
Greenfield microservices fail early or fail late.
Not at the tooling. At the bounded contexts nobody cut cleanly before the first deployment ran.
Too many services, too soon
Eight services for four devs. Every endpoint call is now a network call. Local testing becomes an orchestration exercise. What was meant as clean separation turns into a latency machine you can no longer roll back.
Services quietly share a domain
Order, Cart, and Checkout are three services. In the code they touch the same fields with slightly different semantics. Every change hits all three. Three microservices become a distributed monolith with extra ops overhead.
Every service is built differently
Service A uses repository pattern, Service B is Active Record, Service C is its own thing. Onboarding means learning three codebases. Pattern drift starts in sprint 2. Consistency only where the same pair worked twice in a row.
Bounded contexts first. Services second.
Domain cut before deployment topology. Jardis generates every bounded context as a standalone PHP package with identical architecture, so later you ship as a separate service whatever actually needs to be one. No rewrite required.
Boundaries first, services follow
Before you design container topologies, you define aggregates and bounded contexts. The builder generates the full hexagonal architecture per context. Which contexts deploy separately on day 1 and which run together is a reversible decision, not an architecture lock-in.
OpenAPI and gRPC generated per service
Every bounded context has its contract before the first line of code is written. Synchronous via REST or gRPC, asynchronous via domain events with queue publishing. How services talk to each other lives in the generated artifact, not in last quarter's onboarding doc.
Service 1 looks like service 8
3-layer entities, commands and queries, domain events, repository pipeline. Identical in every service. A dev who knows Order finds their way around Inventory in minutes. Pattern drift is prevented structurally, not by code review.
Why teams start greenfield microservices with Jardis.
Because the hard problem is not the tooling. It is making domain cuts you will not regret three months later.
One Service Today, Two Tomorrow
Every bounded context is a standalone package. Whether it ships as its own service or runs alongside its neighbors is a deployment call, not a code migration. Course corrections cost hours, not weeks.
Domain Isolation Enforced Structurally
Service A cannot reach directly into Service B's data. The package boundaries forbid it. Communication goes through the generated contracts. The classic greenfield anti-pattern becomes impossible in code.
New Services Without a Setup Tax
The tenth service costs what the first one did: define the aggregate, run the builder, write business logic. No repo template drifting from reality, no scaffold every team interprets differently.
Ready to start microservices the right way?
Join the WaitlistFrequently Asked Questions
Answers about greenfield microservices with Jardis.
As few as possible, as many as your domain actually demands. That is a domain question, not a tech question. Jardis separates the two: you define bounded contexts independently of deployment. Three contexts can run in one process on day 1 and split into separate services later, without code rewrite.