Architecture & Integration

Rationalize, standardize, decouple. Solid foundations for sustainable acceleration.

Results

Measurable outcomes

-60%
Fewer integration incidents
with proper standards
3x
Faster delivery
with reusable APIs
+80%
API reuse rate
through developer portal
-40%
Faster diagnosis
with full observability
Challenges

Without standards, integration becomes the main bottleneck

01

Tangled integrations

Hidden dependencies, tight coupling, unpredictable side effects. Every change becomes a risk.

02

Inconsistent APIs

No standards, no contracts, no ownership. Every team reinvents the wheel.

03

Legacy constraints

Monolithic systems and accumulated technical debt make evolution risky and expensive.

04

Limited visibility

Poor observability, slow diagnosis, recurring incidents. Operating costs spiral out of control.

Scope

Comprehensive enterprise architecture coverage

SI Mapping
Target architecture
Roadmap
Principles & patterns
Governance
Decision records
API Design
Contract-first
Gateway
Versioning
Documentation
Developer Portal
Event-driven
Message brokers
ESB/iPaaS
ETL/ELT
B2B/EDI
Legacy wrappers
Logs
Traces
Metrics
Alerting
SLOs
Dashboards
Approach

Five phases to a well-governed architecture

01
Map
Inventory & diagnosis

Comprehensive mapping of flows, dependencies, interfaces, and weak points. Analyze technical debt, identify risks, and spot quick wins.

Deliverables
  • SI Cartography
  • Dependency matrix
  • Debt analysis
02
Define
Target architecture

Define architecture principles, target patterns, API standards, and integration models. Document trade-offs and validate the roadmap.

Deliverables
  • Target architecture
  • Standards & patterns
  • ADRs
03
Standardize
API Factory

Implement API governance: templates, guidelines, reviews, and a developer portal. Contract-first approach with built-in security and versioning.

Deliverables
  • API Guidelines
  • OpenAPI templates
  • Developer Portal
04
Migrate
Wave-based refactoring

Progressively modernize critical integrations using the strangler pattern, event-driven decoupling, and comprehensive regression testing.

Deliverables
  • Migration runbooks
  • E2E tests
  • Rollback plans
05
Operate
Continuous excellence

Deploy comprehensive observability: logs, traces, and metrics. Define SLOs, set up intelligent alerting, create runbooks, and establish continuous improvement practices.

Deliverables
  • Observability stack
  • SLO dashboards
  • Ops runbooks
Technologies

Technology stack & tools

Kong
Apigee
AWS API Gateway
Azure APIM
MuleSoft
Kafka
RabbitMQ
Azure Service Bus
AWS SNS/SQS
Solace
Talend
Informatica
Azure Data Factory
Airbyte
dbt
Datadog
Dynatrace
Prometheus
Grafana
ELK
Jaeger
Patterns

Approaches & methodologies

Contract-First

Design APIs before implementation to ensure consistency and maintainable documentation

Strangler Fig

Progressively migrate legacy systems without big-bang rewrites or service disruption

Event Sourcing

Achieve complete traceability and loose coupling through event-driven architecture

CQRS

Separate read and write operations for improved performance and scalability

FAQ

Frequently asked questions

API or event-driven—which should we choose?

We decide based on actual requirements: latency, decoupling needs, volume, and governance constraints. Often, a hybrid approach works best. No dogma—just documented trade-offs.

How do we avoid big-bang legacy migrations?

We use the strangler pattern: encapsulate the legacy system, migrate incrementally, and validate every step. Maintain backward compatibility, ensure full observability, and keep rollback options available at all times.

How long does it take to set up an API Factory?

6-10 weeks to establish the foundations: standards, templates, governance, and a developer portal. After that, each new API follows the framework and accelerates time to market.

How do we measure success?

Through concrete KPIs: number of integration incidents, time to deliver a new API, API reuse rate, and mean time to recovery (MTTR). We establish baselines and track improvement over time.

Ready to take control of your IT landscape?

Let's start with an assessment of your current architecture: mapping, technical debt, and vulnerable areas.