Is traditional API “middleware” enough?

Data and application integration is not easy in the era of the Cloud and SaaS platforms. Organizations tend to use best-in-class cloud services and specialized SaaS solutions to support functions and processes. Data and functionality are spread across disparate cloud platforms, regions, and solutions. On the other hand, integrated and up-to-date access to data is crucial for operational efficiency, customer satisfaction, and maintaining competitive advantage.Traditional “middleware” deployments focus on API integration, just one piece of the puzzle. We believe that for successful real-time integration, we need to extend it with an event-driven integration backbone. Systems publish events on data changes and transactions and respond to specific events from other systems in real time, triggering automatic actions or data exchanges between applications. This allows for more dynamic and immediate interactions between systems and promotes isolation and loose coupling.

Maximize results and lower cost of data integration

Event-driven data integration seems harder than traditional batch approach, but in the long run may lead to lower cost of integration. It naturally promotes loose coupling and publish once approach simplifying change management and landscape evolution.

Enhanced decision-making

By having access to up-to-date information, businesses can make informed decisions quickly. This agility enables organizations to respond promptly to market changes, customer needs, and internal operational challenges.

Improved responsiveness

Event-driven integration allows systems to respond immediately to specific events or changes, enabling businesses to react quickly to market conditions, customer actions, or operational issues. This real-time responsiveness can lead to improved customer satisfaction and operational agility.

Enhanced scalability

Event-driven architectures are inherently scalable. They can handle a large number of events and scale out as demand increases without requiring significant changes to the system. This scalability is crucial for businesses experiencing rapid growth or fluctuating demand.

MDM Event Hub, which we built for an international pharmaceutical company, became a central nervous system that distributed high-quality and consistent master data in real time across the whole organization. It provides a single source of true and unified access for all services. It helps organizations achieve data consistency, integrity, and governance, leading to improved operational efficiency and better overall decision-making.

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See Technologies We Use

At the core of our approach is the use of market-leading technologies to build IT solutions that are cloud-ready, scalable, and efficient. See all
Kong
Confluent Platform
Azure Kubernetes Service (AKS)
Azure Event Hub
AWS Kinesis
Apache Kafka Connect
Apache Kafka
Amazon EKS

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