CRM and customer satisfaction play a pivotal role in ROI for businesses. Hence, there is an increasing demand in real-time databut the ability to keep up is challenged in the traditional architecture. With greater demand for scalability, improved resiliency and continuous stream processing, legacy modernization is the solution towards disrupting real-time demands. 

 

Mainframe and midrange systems, such as IBM i (previously known as AS400 and iSeries), are widely used and account for over 70% of some of the most impactful daily computing transactions. Business applications and the underlying platforms can reliably process billions of operations, offer bullet proof security, and support strictest data consistency and encryption requirements. On the other hand, most of the applications working on these platforms have been developed long time ago and can be hard to integrate and evolve, and even harder and riskier to replace. 

 

Successful legacy modernization strategy typically involves keeping the legacy components that work best by adding real time integration capabilities to unlock legacy data and business processesenabling seamless collaboration with other systems, partners, and platforms. 

 

Infoview Systems Inc’s AS400Gateway for Kafka provides capabilities for companies exchange events between Kafka and IBM i (AS400) without requiring extensive back-end or integration development. AS400 Kafka connector provides Source capabilities for streaming IBM i Data Queue entries to Kafka, as well as Sink capabilities for sending messages from Kafka to IBM i Data Queues, or calling IBM i programs. AS400Gateway for Kafka is an add-on that works within Kafka Connect, which is a component responsible for declarative data integrations between SaaS applications, databases, messaging services and other systems. 

 

 

Benefits of Kafka Connect include: 

  • Data Centric Pipeline – Usage of meaningful data abstractions to push or pull data to Kafka
  • Flexibility and Scalability – Use of streaming and batch-oriented systems on one node (standalone) or scaled to an organization-wide service
  • Reusability and Extensibility – Provides lower time to production by leveraging existing connectors or extending them to tailor to your requirement.

Operational Efficiencies using AS/400 IBMi Kafka Connector:

  • Cost Saving/Risk Mitigation
  • Increasing revenue/Improving Customer Experience
  • New Business Models/ROI 

Conclusion: 

Kafka provides the freedom to tap into and manage shared data, no matter if the interface is a real-time messaging, a synchronous REST /SOAP web service, a file-based system, a SQL or NoSQL database, a Data Warehouse, a data lake, or anything else. Event-driven microservices enables organizations to evolve their systems and move into the faster, responsive and streamlined application development by decoupling systems, teams and processes without rewriting the entire system.  

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References: www.confluent.io