A monolith that no longer scales, or a greenfield platform that must be ready for growth from day one: we design and build microservices architectures in which each service covers its own business capability, can be deployed independently and scales with demand.
A microservices architecture splits your application into independent services, each covering a specific business capability. Order processing, pricing, customer data, notifications: each gets its own service, its own data store, its own deployment cycle and its own team ownership. The pattern emerged at organisations such as Netflix, Amazon and Spotify, which found that a monolithic codebase with hundreds of engineers gets stuck on coordination, not on technology.
That sounds appealing, but it is not a free upgrade. Microservices bring complexity: distributed transactions, observability, service discovery, schema evolution, cross-cutting authentication. You trade code complexity for network complexity, and you buy independent deployment cycles at the cost of a platform team to keep them running.
We help you decide honestly when microservices are worth the effort, and when a well-structured modular monolith or platform migration will serve you better. If we build, we build properly: from bounded contexts and API gateways to observability stacks and GitOps pipelines. Not an experiment, but production-ready architecture your team can manage after we have gone.
The right route depends on your starting point: a greenfield project, a stuck monolith, or a multi-system landscape following an acquisition. In the first conversation, we decide together which engagement fits best.
A new SaaS or platform product designed from the first service for multi-tenancy, scale and team velocity. We start with event storming and Domain-Driven Design, define bounded contexts, and build the first services around the most valuable business capabilities.
Your monolith still works, but it no longer scales with the business. We carve out domains step by step using the strangler fig pattern. First the capabilities causing the most velocity pain, such as pricing, search or notifications, and only later the difficult core. The monolith keeps running until the last piece has been extracted.
After a merger or acquisition, you are left with multiple stacks, languages and deployment mechanisms. We lay a service mesh (Istio or Linkerd) over the existing systems, harmonise observability and authentication, and migrate underlying systems to a consistent platform at your own pace.
A working platform plus the entire runway around it: code, infrastructure, observability, runbooks and a team that can manage it themselves. Not just a set of services in production, but the discipline to build new ones alongside them.
Not every platform benefits from microservices. We help you assess honestly which patterns you recognise and which route suits your situation. See also our related service cloud-native platform development for the wider context.
One component peaks on Black Friday, so you scale the entire system. Microservices let you scale only the busy services horizontally — pricing, search, checkout — while the rest keeps running quietly.
Four teams in one repository, one deployment pipeline, Friday deployments nobody dares to make. Independent release cycles per bounded context give each team its own rhythm and ownership.
A memory leak in the reporting module takes your checkout offline. Microservices contain failures: a crashing service only affects the capability behind it, not the rest of your platform.
Real-time event processing in Go, ML inference in Python, transactional core in Java. Giving each service its own runtime means your team can choose the appropriate tool for every problem.
Honestly, for many organisations a modular monolith is faster, cheaper and less burdensome to operate. If you fall into one of these categories, we often recommend a different route.
For a team of two to five engineers, the operational overhead of microservices is rarely worth it. A well-modularised monolith often scales far enough and is much easier to understand in production.
A CRUD application with a handful of entities does not warrant ten services. The burden of distributed systems outweighs the gains — you trade code complexity for network complexity.
If you deploy once a quarter, independent deployment velocity is no advantage. The effort you put into pipelines, observability and service mesh won't pay off at this scale.
Microservices require invested time in DevOps discipline, on-call rotations and an observability culture. Without that foundation, your architecture becomes a minefield rather than a source of freedom.
Together with your domain experts, we map out which business events actually exist, which commands trigger them, and where the natural boundaries between domains lie. By the end, we know which bounded contexts there are and which services are most worth extracting. Domain-Driven Design is not an academic exercise here but the foundation under every successful decomposition — wrong boundaries lead to a distributed monolith, the worst of both worlds.
Kubernetes cluster, API gateway, event bus, observability stack, CI/CD pipelines, secrets management and IaC baseline. A service skeleton that lets your team deploy the first service from top to production. We document the choices in architecture decision records so that later teams understand why Kafka was chosen over NATS, or why Istio rather than Linkerd. Part of this phase is also setting up saga orchestrators for distributed transactions and a schema registry for backwards compatibility.
Each iteration delivers at least one working service with monitoring, tests and a deployment pipeline. We tackle the capabilities with the highest business value or the sharpest delivery pain first, and leave the complex legacy core until later.
For a strangler fig migration, we move route by route via the API gateway, using dual writes and event bridges to the monolith. For greenfield projects, we roll out in phases per business capability, using feature flags to manage risk.
We train your team on the operational side: how to read distributed traces, how to debug sagas, and how schema changes are handled. Afterwards, ongoing maintenance or co-development with your own platform team is available as an option.
What clients most often want to know before starting a microservices project.
A free, no-obligation half-hour introduction. We listen to your current situation — monolith, greenfield or post-M&A — ask sharp questions, and give direction on whether microservices really are the right answer. Would you rather see what we have built before? Then take a look at our enterprise software projects.
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