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.
ownCloud is an open source cloud file storage solution very much like DropBox solution. If you are like me who want to have unlimited cloud storage and at the same time would like to have the convenient of accessing your files from any device anywhere, and you are skeptical with public cloud storage with any valid reason. I believe you would want to run your own cloud storage.
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.
Effective API design and mocking can be major contributor to the success of API implementation in terms of meeting the requirements, time and cost saving. Apicurio Studio and Microcks are among those open source tools that proving the promising features and usability. Let’s look at how can these tools be seamlessly work together to provide a collaboration platform for API design and API mocking.
These open source tools are used by Red Hat to help their customers in digital transformation journey making the application modernization more achievable and easier compared to the past, with higher success rate.
Application modernisation is not just about the applications but also need to consider the impact of the modernising exercise to the existing internal costing and budgeting model (if any), governance processes & policies (or SDLC), the supporting services, the operation and application team, and the underlying application platform.
We all know Serverless, Function and Knative are meant to provide modern application platform for consumption based, faster start-up, lightweight, cost effective, event based, modular and etc. But how do they relates to each other and how they are different from each other. What do I need to know in order to help me to craft or choose the right solution for my organization needs.
Running ServiceMesh or Istio on OpenShift is pretty easy as long as you understand the differences between upstream community Istio and Red Hat ServiceMesh. With the enhancements tweak for OpenShift it makes managing and running microservice applications on Istio peanut easy both for administrators and developers.
Let's look at step by step how to enable resource monitroing 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.
Creating your own version of container image for Kafka Connect for OpenShift is pretty straightforward with simple few steps as outlined in this article.