Prepare your applications for the future with independently growing services.

We transform large and complex applications into microservices that are separated by business domain and can be developed and scaled independently. We help teams deliver faster and keep systems resilient under high traffic and failures.

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  • Modern Microservice Architecture
  • Independent scaling
  • Fast and safe releases
  • Resilient and observable
What Is Microservice Architecture?

A software architecture that splits a large application into small, independently running services, each responsible for a specific business domain.

In a microservice architecture, each service manages its own business rules, data and lifecycle. Services communicate via APIs or events; they can be developed, tested and released independently of one another and scaled to the capacity they need.

Separation by business domain

Manage distinct responsibilities such as orders, payments, inventory and customers in independent services with clear boundaries.

Independent releases

Test a change in one service and take it live safely without redeploying the entire application.

Targeted scaling

Use infrastructure efficiently by increasing instance and resource capacity only for the services that receive heavy traffic.

Fault isolation

Use resilience rules to stop a failure or overload in one service from spreading to the whole system.

Microservice Components and Capabilities

Build a resilient service platform that manages every layer of the distributed system together.

We design microservices not just as small applications, but as a complete platform in which communication, data, security, deployment and observability components work together.

Domain-driven service design

Model business capabilities as independent services with clear boundaries and responsibilities.

  • Domain-driven design
  • Bounded context separation
  • Service ownership

API and service communication

Establish secure, contract-based data flows between services with synchronous and asynchronous communication models.

  • REST and gRPC services
  • Service discovery and routing
  • Contracts and versioning

Messaging and event architecture

Distribute business events reliably to independent consumers using queues and publish-subscribe structures.

  • Event-driven architecture
  • Message queue and broker
  • Retry and dead-letter queue

Distributed data management

Preserve each service's data ownership while managing consistency across services with controlled patterns.

  • Database per service
  • Saga and eventual consistency
  • Outbox and idempotency

Resilience and security

Apply policies that stop transient failures from spreading through the system and that protect service access.

  • Timeout and circuit breaker
  • OAuth 2.0 and service identity
  • Rate limiting and retry

Observability and operations

See system behavior end to end by combining logs, metrics and distributed traces in a shared context.

  • Central logs and metrics
  • Distributed tracing
  • SLA and alert management
Modular Monolith or Microservices?

The right architecture depends on the needs of business domains and teams before it depends on system size.

Not every project needs microservices. For limited scope and small teams, a well-designed modular monolith can be more efficient; microservice architecture creates value when independent scaling, frequent releases and team autonomy become critical.

SIMPLE APPROACH

Modular monolith

Suited to products and teams that move forward with clear module boundaries within a single deployment unit and for which operational simplicity matters.

  • Faster startLess infrastructure and operational overhead
  • Simple data consistencyEasy to manage in a single transaction and data layer
  • Easy local developmentQuick to work with fewer services and dependencies
  • Shared release and scaleModules share the same application lifecycle
Best suited for Small team · Clear scope · Quick start
DISTRIBUTED APPROACH

Microservice architecture

Designed for systems where business domains evolve at different speeds and teams need independent delivery and service-level scaling.

  • Independent releaseControlled and fast delivery for each service
  • Targeted scalingCapacity increase only for the service that needs it
  • Team ownershipEnd-to-end responsibility from business domain to operations
  • Fault isolationProblems contained within service boundaries
Best suited for Multiple teams · Heavy traffic · Frequent releases

Signs that you need microservices

If several of the situations below keep occurring in your system, a microservice transformation may be worth considering.

  • The whole application has to be deployed for a small change.
  • Teams wait for each other's deliveries in the same codebase.
  • Only certain business functions receive heavy traffic.
  • A failure in one module affects the availability of the entire application.
  • Business domains have different technology and data requirements.
  • Development and release times in the monolithic system keep growing.
Microservice Use Cases

Turn business domains that grow at different speeds into independent, resilient and scalable services.

We use the microservice approach not because it is a technology trend, but in areas where concrete needs such as independent delivery, targeted scaling, fault isolation and team ownership create value.

Modernizing a monolithic application

Prioritize rapidly changing or bottleneck business domains and move them step by step into independent services without interrupting the existing system.

Strangler Domain Gradual transition Low risk

E-commerce and order platforms

Manage catalog, inventory, cart, order and payment domains independently according to traffic and change needs.

Order Stock Payment

SaaS and multi-tenant platforms

Develop product capabilities such as identity, subscription, billing and usage metering with separate lifecycles.

SaaS Tenant Subscription

Finance and payment systems

Run transaction, risk, reconciliation and notification services with strong auditing, security and fault isolation.

Finance Audit Resilience

Real-time data and workflows

Process system events with queues and event streams to build loosely coupled, retryable processes.

Event Queue Streaming

Independent product teams

Enable teams to take end-to-end responsibility for developing, releasing and operating their own business domain.

DevOps Autonomy Frequent releases
Microservice Development Process

A measurable and controlled transformation process that runs from business domains to live operations.

We treat microservice architecture not just as a technical decomposition effort, but as a holistic transformation in which service boundaries, data ownership, team responsibility and operational standards are designed together.

  1. 01

    Existing system analysis

    Together we examine application components, dependencies, data flows, bottlenecks and business domains with a high rate of change.

  2. 02

    Service boundary design

    With a domain-driven approach, we clarify business capabilities, bounded context boundaries and each service's area of responsibility.

  3. 03

    Communication and platform design

    We design synchronous and asynchronous communication patterns, API contracts, event models and shared platform capabilities.

  4. 04

    Implementing the services

    We bring services that can be developed, tested and released independently to life with shared engineering standards.

  5. 05

    Container and CI/CD setup

    We containerize the services and build secure, repeatable and reversible release processes.

  6. 06

    Release and observability

    We manage the gradual transition and make service health visible end to end with logs, metrics and distributed traces.

Benefits of Microservice Architecture

Create a flexible structure where teams deliver faster and systems grow as needed.

A microservice architecture designed with the right boundaries and strong operational standards reduces change risk, increases team autonomy and uses resources more efficiently under high traffic.

Independent and fast delivery

Let teams develop, test and release their own services without waiting for other modules.

Targeted scalability

Use infrastructure efficiently by increasing instance and resource capacity only for the services that receive heavy traffic.

Fault isolation

Prevent a failure, latency or capacity problem in one service from making the whole application unusable.

Team autonomy

Let small teams take end-to-end responsibility for the code, data and operations of specific business domains.

Flexible technology choice

Choose the technology and storage approach that suits each business domain's performance, data and development needs.

Controlled modernization

Move business domains step by step to new services without replacing the large application all at once.

Microservice Security and Resilience

A reliable architecture that protects every connection of the distributed system and contains failures.

We treat security and resilience not as features added to services later, but as shared standards that span the whole platform, from identity to network traffic and from error handling to observability.

Service identity and authorization

Authenticate every service call and grant user, application and service accounts access on the principle of least privilege. OAuth 2.0 OIDC JWT RBAC

Network and communication security

Encrypt traffic between services and open only permitted connections with network policies and trusted identities. TLS mTLS Network policy Mesh

Fault isolation and recovery

Apply resilience patterns that stop a slowdown or failure in one service from affecting the whole system. Timeout Retry Circuit breaker Bulkhead

Audit and threat monitoring

Monitor service access, configuration changes and unusual behavior centrally. Audit log SIEM Trace Alert

Microservice Project Deliverables

We deliver not just working services but a platform your teams can develop and operate with confidence.

For a sustainable microservice structure, we prepare all critical deliverables in a version-controlled way, from service code to architecture decisions and from deployment definitions to test and observability assets.

Production-ready microservices

Services with completed business rules, data access, security, error handling and observability components.

Source code and shared standards

Service source code, shared development rules, templates and quality-check configurations.

API and event contracts

Versioned schema, message and error contracts that define the synchronous and asynchronous communication of services.

Container and deployment definitions

Docker images, Kubernetes resources, environment settings and automated CI/CD release pipelines.

Automated test suite

Acceptance records with unit, integration, contract, resilience, security and performance tests.

Monitoring dashboards and runbooks

An operations package covering logs, metrics, traces, SLOs, alerts and incident response processes.

Frequently asked questions

Frequently asked questions about Microservice Development

The most common questions about timelines, costs, working model and support afterwards.

Send your question
What is microservice architecture?

It is a software architecture approach in which an application is composed of independent services, each responsible for a specific business capability and able to manage its own data and lifecycle.

Is it necessary to use microservices for every project?

No. With a small team, limited scope and low scale needs, a modular monolith can be simpler and more economical. The microservice decision should be based on business domains, team structure, release frequency and scale expectations.

Can an existing monolithic system be converted to microservices?

Yes. Without rewriting the existing system completely, priority business domains can be separated gradually with the Strangler approach, and traffic can be moved to the new services in a controlled way.

How long does a microservice project take?

The duration depends on the complexity of the existing system, service scope, data migration, integrations and platform readiness. After discovery, a phased transformation plan is prepared for the priority services.

Should every microservice have its own database?

The core principle is that each service owns its own data. Even if physical infrastructure is shared, schema and access boundaries must be preserved, and other services must not be given direct table access to a service's data.

Is Kubernetes mandatory for microservices?

No. Kubernetes is a powerful orchestration option, but managed container platforms or simpler infrastructures can also be preferred depending on the number of services, traffic, team skills and operational needs.

How is data consistency between services ensured?

Depending on the transaction need, saga, outbox, idempotency, event-based communication and compensating steps are used. Instead of distributed transactions, process consistency is managed with explicit rules.

Is support provided after going live?

Depending on project scope, services such as monitoring, alerting, error analysis, capacity improvement, security updates, new service development and platform operations support can be offered.

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Let's turn your applications into independent and scalable services.

Let's evaluate your existing system, business domains, team structure and growth goals together. Let's clarify the priority service boundaries, platform needs and a feasible transformation roadmap.

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