Scale Legacy Applications
Dynamically with API-Based
Modernization
www.damcogroup.com
Introduction
At present, several organizations continue to host their enterprise applications
on legacy on-premises or mainframe systems. These systems enable
applications to manage business-integral processes like customer management,
financial transactions, and inventory management based on pre-defined rule-
based logic and inputs. Legacy process rules are programmed for applications
to routinely orchestrate business processes without any hindrances.
Implementing Cloud APIs in Legacy Apps – A Surefire Modernization Approach
For data processing and analysis, cloud-based streaming data APIs are designed
and integrated with legacy applications. These APIs consistently extract
incoming data in the legacy application, process it in a cloud analytics server,
and deliver data-based results or insights to app administrators. This consistent
processing and insights generation facilitates administrators to make proactive
decisions for legacy app optimization and process modifications. Some other
benefits of streaming API integration are:
Reduced Data Storage Costs – Traditional legacy apps require separate on-
premises/hardware resources for storing and processing data in
batch(sequential) mode, resulting in higher infrastructure maintenance and
costs.
Event-Driven Support- Through consistent processing and analysis,
streaming APIs enable legacy applications to initiate actions based on
events or triggers.
Best Practices for Cloud API-Based Legacy App Modernization
At present, several organizations continue to host their enterprise applications
on legacy on-premises or mainframe systems. These systems enable
applications to manage business-integral processes like customer management,
financial transactions, and inventory management based on pre-defined rule-
based logic and inputs. Legacy process rules are programmed for applications
to routinely orchestrate business processes without any hindrances.
Closing Thoughts
As stated before, API integration is an effective way to modernize legacy apps
and drive operational efficiency. However, designing and integrating APIs with
legacy applications is a time-intensive endeavor and requires expert assistance.
1. RESTful API Design
Cloud APIs designed for integration with legacy apps should adhere to REST architectural
standards.
2. Encrypt APIs using Transport Layer Security
In general, integrated APIs are responsible for transferring data between legacy applications
and endpoints, such as databases, servers, or third-party systems.
3. Perform Compatibility Testing
Legacy applications have exclusive data structures and operational paradigms. By integrating
cloud APIs with such applications, incompatibility issues might arise due to variances in data
representation, processing speeds, and communication methods.
4. Continuous Monitoring
After integrating APIs with legacy applications, the risk of API call latency and API
mismanagement is higher.
Contact us
www.damcogroup.com/legacy-
modernization-services.html
info@damcogroup.com
+1 (609) 632-0350

Scale Legacy Applications Dynamically with API-Based Modernization .pdf

  • 1.
    Scale Legacy Applications Dynamicallywith API-Based Modernization www.damcogroup.com
  • 2.
    Introduction At present, severalorganizations continue to host their enterprise applications on legacy on-premises or mainframe systems. These systems enable applications to manage business-integral processes like customer management, financial transactions, and inventory management based on pre-defined rule- based logic and inputs. Legacy process rules are programmed for applications to routinely orchestrate business processes without any hindrances. Implementing Cloud APIs in Legacy Apps – A Surefire Modernization Approach For data processing and analysis, cloud-based streaming data APIs are designed and integrated with legacy applications. These APIs consistently extract incoming data in the legacy application, process it in a cloud analytics server, and deliver data-based results or insights to app administrators. This consistent processing and insights generation facilitates administrators to make proactive decisions for legacy app optimization and process modifications. Some other benefits of streaming API integration are: Reduced Data Storage Costs – Traditional legacy apps require separate on- premises/hardware resources for storing and processing data in batch(sequential) mode, resulting in higher infrastructure maintenance and costs. Event-Driven Support- Through consistent processing and analysis, streaming APIs enable legacy applications to initiate actions based on events or triggers. Best Practices for Cloud API-Based Legacy App Modernization At present, several organizations continue to host their enterprise applications on legacy on-premises or mainframe systems. These systems enable applications to manage business-integral processes like customer management, financial transactions, and inventory management based on pre-defined rule- based logic and inputs. Legacy process rules are programmed for applications to routinely orchestrate business processes without any hindrances.
  • 3.
    Closing Thoughts As statedbefore, API integration is an effective way to modernize legacy apps and drive operational efficiency. However, designing and integrating APIs with legacy applications is a time-intensive endeavor and requires expert assistance. 1. RESTful API Design Cloud APIs designed for integration with legacy apps should adhere to REST architectural standards. 2. Encrypt APIs using Transport Layer Security In general, integrated APIs are responsible for transferring data between legacy applications and endpoints, such as databases, servers, or third-party systems. 3. Perform Compatibility Testing Legacy applications have exclusive data structures and operational paradigms. By integrating cloud APIs with such applications, incompatibility issues might arise due to variances in data representation, processing speeds, and communication methods. 4. Continuous Monitoring After integrating APIs with legacy applications, the risk of API call latency and API mismanagement is higher.
  • 4.