Supercharging Event-Driven Integrations using Apache Kafka and TriggerMesh

Supercharging Event-Driven Integrations using Apache Kafka and TriggerMesh

Supercharging Event-Driven Integrations using Apache Kafka and TriggerMesh. With TriggerMesh to Apache Kafka provides a way for messages to be routed and transformed cloud-natively across systems. Other solutions, like the open source distributed event platform Apache Kafka, can integrate with virtually any system and be deployed on any cloud or on-prem.

Event-driven integrations give businesses the flexibility they need to adapt and adjust to rapid market and customer preference changes. Apache Kafka has emerged as the leading system for brokering messages across the enterprise. Adding TriggerMesh to Kafka provides a way for messages to be routed and transformed cloud natively across systems. DevOps teams, like the one at PNC Bank, use the TriggerMesh declarative API to define these event-driven integrations and manage them as part of their CI/CD pipeline.

Event-Driven Architecture Basics

Many modern applications are rapidly adopting an event-driven architecture (EDA). An EDA is used to loosely couple independent microservices and provide near real-time behavior. When coupled with a cloud native mindset and the use of containers and serverless functions, EDA modernizes the entire enterprise application landscape.

Over the last 10 years, starting with the DevOps movement, great emphasis has been put into gaining agility and reducing the time to market for new applications. Racing from development to production is seen as a true competitive advantage. With this in mind, breaking monolithic applications into microservices has been seen as a way to deploy independent services faster, giving each microservice its own lifecycle. Packaging each microservice and managing it in production gave rise to the container and Kubernetes era. However, coupling each microservice is still an open problem and that is where EDA comes back in full force. When you adopt an event-driven architecture, you can couple together your independent microservices through a messaging substrate like Kafka; and so gain the agility and scale you have been looking for.

devops microservices contributed

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