In my last post I wrote about general concepts behind Function as a Service (FaaS) and my view on this application development style. As an example I used the basic pipes and filters concept implemented by Unix Shells and many shell commands. Within this post I will use the same example and implement it using a Function as a Service platform. To recap the scenario, we had a simple JSON file containing booking records. From this file we identified certain records based on purchased products. Afterwards we extracted customer emails which could be used as a list for targeted marketing.
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In the last few years lightweight and flexible technologies and architectures become the predominant approach for enterprise applications. Besides Microservices, Function as a Service (FaaS) or Serverless Programming is a commonly discussed topic. Some see FaaS as an addition to today’s lightweight architectures, others see it as next step within the evolution of Cloud and IT.
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After looking into how to run a Spring-Boot based Microservice application on Oracle’s Application Container Cloud service, this post will concentrate on Oracle Container Cloud Service. In short, Oracle Container Cloud Service is Oracle’s enterprise-grade container infrastructure solution. It provides features to compose, deploy, orchestrate and manage Docker container-based applications. In contrast to Oracle Application Container Cloud Service customers can completely control containers deployed within this infrastructure. Therefore, this service provides the highest amount of flexibility for container-based applications. On the other hand, it does not relieve customers of tasks like Oracle Application Container Cloud Service.
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In posts one and two within this series we created and deployed Spring-Boot Microservices in Oracle’s Application Container Cloud Service (ACC). Usually, after deploying an application and enabling user traffic an application must be monitored to ensure a high level of service and identify approaching problems. This blog post describes how monitoring in Oracle Application Container Cloud can be achieved using standard features. The focus will be on Java applications.
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In my last post I gave an introduction to Oracle Application Container Cloud (ACC) and how to develop Spring-Boot applications such that they can be hosted within Oracle ACC. At the end of the post some questions still had to be answered. Within this post we are going to tackle the first one, how is Microservice Communication in Oracle Application Container Cloud achieved? The following figure shows what a simple architecture, within the context of a Spring-Boot Microservice application, might look like.
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Microservices as an architectural style as well as scalable and manageable cloud infrastructure are the foundation for modern and flexible business applications. Therefore, Oracle invested heavily in maturing its Cloud portfolio and providing services to support development and operations of such applications. One Oracle cloud service aimed at these kind of applications is “Oracle Application Container Cloud Service” (ACC). It provides a simple Docker based environment in which your Microservices can be deployed. In order to reduce the operations overhead, developers only have to provide their applications (NodeJS, Java SE or PHP) in a certain format and Oracle’s cloud infrastructure takes over.
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