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Using Anti Corruption Layer APIs in transformation routes

Johan Louwers
4 min readNov 4, 2024

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railway junction

In a world where technology evolves at a rapid pace, organizations often find themselves navigating the complexities of integrating new applications with existing legacy systems. These legacy systems, while vital to business operations, may use outdated technologies and communication methods that do not align with modern application architectures. One effective strategy for managing these challenges is the implementation of an Anti-Corruption Layer (ACL). This pattern acts as a protective barrier between the calling application and legacy systems, ensuring that the complexities and limitations of the legacy environment do not negatively impact modern applications.

An ACL typically takes the form of a microservice that serves as a gateway, translating and adapting the interactions between modern applications and the legacy system. This approach not only promotes clean and maintainable code but also prepares organizations for future transitions, such as decommissioning legacy systems and migrating to more advanced solutions. By maintaining the ACL during these transitions, organizations can ensure a seamless switch between systems, regardless of the differences in data formats and communication protocols.

Technology View

The Anti-Corruption Layer pattern provides a systematic way to manage interactions between modern applications and legacy systems by encapsulating the complexities of the legacy environment within a microservice. This microservice transforms requests and responses, allowing the modern application to communicate effectively without needing to understand the legacy system’s internal workings.

The following Python code snippet demonstrates a basic implementation of an ACL microservice using the Flask framework. This microservice will interact with both a legacy system that communicates using ASCII or CSV format and a new system that utilizes REST with JSON.

from flask import Flask, request, jsonify
import requests

app = Flask(__name__)

class LegacySystemClient:
def __init__(self, legacy_system_url):
self.legacy_system_url = legacy_system_url

def get_data(self, resource_id):
response = requests.get(f"{self.legacy_system_url}/resource/{resource_id}")…

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Johan Louwers
Johan Louwers

Written by Johan Louwers

Johan Louwers is a technology enthousiasts with a long background in supporting enterprises and startups alike as CTO, Chief Enterprise Architect and developer.

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