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Microservices

Decouple before dependencies slow you down.

Independent development can help, but too many distributed services can also get in its way. We review meaningful business boundaries and implement a suitable architecture, including communication, data ownership, delivery and operations.

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Domain model with service boundaries and interfaces · Planning and implementation by OTOKO®

Your brief for OTOKO®

What we take care of for you.

Together with the business unit and development, we look at terms, rules and changes. Functions that regularly need to be adjusted together should not be split up lightly. A modular monolith can create clear boundaries without introducing distributed operations. Microservices become an option where independent teams, load profiles or delivery cycles offer a demonstrable benefit. The decision is documented together with its operational consequences, instead of choosing an architecture based on a trend alone.

The possible scope of services

  • Domain split with event storming and bounded contexts together with the business unit
  • Platform on Kubernetes with Helm, GitOps delivery and namespaces per team
  • Service communication via REST, gRPC or messages, with a service mesh for encryption and routing
  • Data storage per service with the saga pattern and outbox for distributed transactions
  • Operating rules for logging, configuration, secrets and resilience

We define the specific scope, your involvement and the acceptance criteria before the start.

Technology explained clearly

How we carry out the task.

01

Distribution changes transactions and failures

A case that spans several services does not automatically have a shared database transaction. We plan state transitions, temporary inconsistency and compensating actions. An outbox pattern can help link a data change consistently with the event to be published. Retries require business idempotency, meaning a defined result when processing is repeated. Timeouts and dependencies are limited so that a slow service does not block the entire chain. The teams involved must be able to understand and test these rules.

02

Make services operable before splitting further

A new service needs ownership, monitoring, configuration and secure deployment. We test selected partial failures and observe complete cases rather than just individual containers. The handover includes architecture decisions, interface contracts and runbooks. Existing bottlenecks, team structure and release dependencies are the most important inputs for the first assessment.

Meeting room at the OTOKO® Cologne office

A verifiable result

What you keep working with.

  1. Domain model with service boundaries and interfaces
  2. Platform with delivery pipeline as code
  3. Operations manual with rules per service

The handover brings together implementation and documentation. Together, we review the agreed cases and record any remaining tasks.

Your project in detail

Draw service boundaries where they help your product.

We examine which parts of an application should be changed and operated independently. Microservices are one possible architecture decision; the decisive factors are business boundaries, team responsibility and manageable operational processes.

Clarify responsibility and data ownership before the technical split

A service needs a clear business purpose. We examine processes, data ownership and change dependencies before components are extracted. If several services share the same tables and always have to be released together, the result is often just a distributed dependency without the intended benefit.

We distinguish synchronous queries from asynchronous process steps. For business processes spanning multiple services, intermediate states and compensation are explicitly modeled. A canceled reservation, for example, is a business action, not an arbitrary technical rollback across all databases.

Make distributed errors visible and actionable

Multiple services create additional network paths and possible partial failures. We plan timeouts, limits and retries so that a slow service does not block the entire application. Automatic retries require that an action is not unintentionally executed more than once.

The rollout starts in a clearly scoped area with measurable benefit. Common standards for logs, traces, deployment and on-call duty prevent every service from inventing its own operating rules. If the expected benefit does not justify the effort, a clearly structured modular application can remain the better solution.

Illustrative project scenario

How the service helps in everyday use.

Example: Document generation slows down a business application during load peaks. We examine its business and technical dependencies and, where appropriate, extract exactly this process. The result is delivered through a clearly defined job status while the core process continues to run in a controlled way.

This example explains a possible process and is not a customer reference.

Before the first step

Your questions about Microservices.

Do we need to use Kubernetes for this?

No. The operating model follows the number, scaling and requirements of the services. Kubernetes can be a good fit, but it is not a prerequisite for applications that are separated by business domain.

Does this always make development faster?

No. Distributed systems bring additional coordination and operational effort. We assess the benefit against your actual dependencies and bottlenecks.

Your project

Which task would you like to solve?

Describe your situation and the desired result. The selected service will be included in the contact request.

Request this service

Our Partners

  • Microsoft
  • Microsoft Azure
  • Amazon AWS
  • Google Cloud
  • Thales Group
  • Arrow ECS
  • Vodafone
  • IBM
  • Veeam
  • Atlassian
  • JetBrains
  • NinjaOne
  • OPSWAT
  • Utimaco
  • Eviden

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