In this blog post I want to show how to create a “Hello World” streaming example using Spring Cloud Data Flow which simplifies the development and deployment of applications focused on data processing use-cases. Spring Cloud Data Flow originates from Spring XD which was a standalone project to build distributed data pipelines for real-time and batch processing.

Starting with Spring Data Ingalls release publishing domain events by aggregate roots becomes easier. Instead of leveraging Spring’s ApplicationEventPublisher you can use @DomainEvents annotation on a method of your aggregate root. Let’s look at an example.

Spring IO 2017 just finished! I had an amazing time here in sunny Barcelona. The talks were amazing and the conference was really well organised. Big thanks to Sergi Almar and his team for this.

The talks which I attended with further links:

In a previous post we saw what steps we needed to do in order to configure a service running on multiple EC2 instances to use CloudWatch Logs as a centralized logging tool. In this post we will use Boxfuse to deploy our cloudwatch-logs-demo app and configure logging leveraging again CloudWatch Logs.

$ git clone https://github.com/altfatter/boxfuse-demo
$ cd boxfuse-demo
$ mvn clean package

In this blog post we will see how we can leverage Amazon CloudWatch Logs for centralized logging in Amazon AWS environment. A demo application is provided to see things in action. The plan is the following:

1. deploy the application on an EC2 instance
2. configure logging to send the log events to CloudWatch Logs service
3. launch multiple ec2 instances running the demo application
4. browse logs from multiple EC2 instances

In this blog post we are going to build a simple Spring Boot app which will expose instance metadata information when running on an AWS EC2 instance. We are going to use Spring Cloud AWS which eases the integration with AWS.