In my previous post, I briefly talked about event-based architecture for payment platform modernization and why the modernization is important to the industry. In this post, we will dive into details of the key capabilities to consider for the payment platform modernization. The capabilities covered in this post may not be the complete list but it definitely serves as a good start.
Tag: Apache Kafka
Event-Driven Payment Exceptions Handling Using Kogito
Let’s go through in detail how can we use the Kogito services to help us to modernise the payment platform by following the event-driven architecture approach. Kogito is the right fit in the scenarios where you need to implement decision services and business automation for an event driven architecture, with the fact that it is purposely built for events and cloud-native use cases.
A True Atomic Microservices Implementation with Debezium to Ensure Data Consistency
Typical microservices outbox pattern implementation requires developers to manually create the outbox event table and write the codes to send the data from the outbox table to the respective messaging platform. Debezium Outbox Event Router together with Outbox Quarkus Extension take cares of this and enforce a standard approach to do this with declarative implementation. This allows the developers to focus on business logic implementation and achieve faster application delivery.
Load Test Apache Kafka on OpenShift Using Apache JMeter
When come to performance load testing tool, people usually think of Apache JMeter; open source, widely supported and free. JMeter with total control, flexibility and user friendliness make the perfect choice for load testing. This should be the same for load testing Apache Kafka on container platform such as OpenShift Container Platform. Let’s look at how we can use JMeter to perform Kafka load testing on OpenShift.
How Can I Monitor Container Application Resources on OpenShift?
Let’s look at step by step how to enable resource monitoring on OpenShift. Container application resources monitoring is simplified with Operator Hub, Prometheus Operator and OpenShift. With the built-in resource monitoring on OpenShift, your application team will just need to focus on application development and at the same being able to get performance feedback from Prometheus on OpenShift.