We design the most suitable architectures for your company.

Core service

Solve cross-service consistency by design

In distributed systems, most failures hide not in the code but in how services are wired together. Consistency is not added later; it is designed in from the start.

Request a call Start with an Architecture Assessment

Duration
4 to 10 weeks
Model
Design and reference code
Output
Target architecture and ADRs

Signs of consistency problems

These symptoms are usually filed as separate bugs and closed one by one. The root cause is a shared gap in the design.

  • When a transaction fails halfway, systems are left in different states and fixed by hand.
  • Messages are lost in the queue, or processed twice.
  • When one service slows down, every service in the chain slows down with it.
  • Reporting queries put load on the transactional database.
  • The same data lives in several services, and people argue about which copy is right.
  • Tracing one event end to end means reading logs from several systems.

Choosing a pattern is an engineering decision

Event sourcing, CQRS, Saga and Outbox are not solutions in themselves; they are tools that solve a specific problem at a specific cost. Used in the wrong place, they add more complexity than they remove.

Design starts by establishing what level of consistency the system actually needs. Not every operation has to be immediately consistent, and knowing where eventual consistency is enough is what decides how far the system can scale.

Every significant decision is written down with its reasoning and the alternatives rejected. Your team does not just implement the design; it knows why it looks the way it does.

Scope

Included

  • Identifying bounded contexts
  • Synchronous versus asynchronous communication decisions
  • Consistency model and transaction boundaries
  • Saga and compensation flows
  • Outbox and idempotency patterns
  • Event schema and versioning
  • Failure and retry policies
  • Reference implementation

Not included

  • Coding the entire system
  • Database administration and operations
  • Running performance tests
  • Defining product requirements

How the design runs

  1. Weeks 1-2Event Storming. Business processes are mapped through events together with your team. Context boundaries emerge from this work.
  2. Weeks 3-4Consistency model. We decide which operation needs which level of consistency, and choose the communication style between services accordingly.
  3. Weeks 5-8Reference implementation. The chosen patterns are shown in working code: a Saga flow, event publishing through an Outbox and an idempotent consumer.
  4. Weeks 9-10Handover. The design document, decision records and reference code are reviewed with your team.

What you receive

Every part of the design becomes a concrete output your team can implement.

Context map
Bounded contexts, the relationships between them and who owns which data.
Target architecture
Services, communication styles and data flow, with C4 diagrams.
Decision records (ADR)
The reasoning, alternatives and consequences of every significant decision.
Event catalogue
The schema, owner and versioning rules of every event in the system.
Reference implementation
A working example of the chosen patterns, with tests.
Failure scenarios
For every critical flow, what can go wrong and how the system will behave.

Who this service is not for

  • Systems that run comfortably on one database and one application. A distributed architecture should come from a need, not be a goal in itself.
  • Organisations that want the design only as a drawing and are not open to discussing implementation with their team.
  • Projects that have already picked a pattern and only want approval.

Frequently asked questions

Do we need event sourcing?

In most systems, no. Event sourcing is valuable where a complete record of history is a business requirement; elsewhere it adds needless complexity. Our recommendation follows what the system needs.

Can we apply this design without moving to microservices?

Yes. Context boundaries and consistency rules work inside a modular monolith too, and in many cases that is the right first step.

Which technologies do you work with?

The .NET, Go and Python ecosystems; Kafka and RabbitMQ for messaging; PostgreSQL, MongoDB and Redis for data. The design is technology-neutral, and the reference implementation is written in the language your team uses.

Our current system has consistency problems. Where should we start?

In an existing system you first need to measure where the problem is. In that case we recommend starting with an Architecture Assessment.

Who owns the source code and documents?

You do. Design documents, diagrams and reference code are your property from day one.

Let’s review your design together

In thirty minutes you describe the system; we share a first view of where the consistency problems come from.

Request a callinfo@futureformative.net