I have recently spent quite a lot of time playing with Spring Cloud Data Flow (SCDF). It is an amazing platform that can be used for many things. Talking about it with some of my colleagues I realized that not everyone knows what are the common use cases. Thinking about it further I realized that I don’t know the full scope of capabilities and business problems that it can solve! In this article I look at different uses for Spring Cloud Data Flow based on what the platform offers and actual stories from companies using it in production. The examples come from Spring One Platform 2017 conference. Continue reading “Spring Cloud Data Flow – Use Cases”
Author: Bartosz Jedrzejewski
Spring Cloud Data Flow – Making Custom Apps and Using Shell
Last week I wrote about getting Started with Spring Cloud Data Flow. This week I want to show you a few more things that you can do with this amazing platform. In this article I will show you how to make your own Apps that can be part of Data Flow Streams and how to use the Data Flow Shell to control the platform. Continue reading “Spring Cloud Data Flow – Making Custom Apps and Using Shell”
Practical Choreography with Spring Cloud – Presentation
On the 15th February 2018 I had a pleasure to speak at The JVM Roundabout Meetup in London. Continue reading “Practical Choreography with Spring Cloud – Presentation”
Building services requires building teams
When talking about microservices (or agile development), the idea of self-managed, independent teams often comes up. What is not emphasized enough is how vital this idea is to the successful adoption of such highly decoupled architecture. In this article, I will share my experiences about working with independent teams and being part of them. Continue reading “Building services requires building teams”
Getting Started with Spring Cloud Data Flow
In this article, I will show you how you can get started with Spring Cloud Data Flow. Spring Cloud Data Flow is an amazing platform for building data integration and processing pipelines. It has a very user-friendly graphical dashboard where you can define your streams, making your work with data an absolute pleasure. Continue reading “Getting Started with Spring Cloud Data Flow”
HATEOAS – a simple explanation
HATEOAS – Hypermedia as the Engine of Application State, a name long enough to intimidate and confuse. Behind this complicated name we have a rather simple and elegant idea. In this blog post, I explain what HATEOAS is and how it can be practically used to build more stable systems. Continue reading “HATEOAS – a simple explanation”
Application of GRASP to Microservices
GRASP stands for General responsibility assignment software patterns. You might have heard of it before, or you might not. Either way, you might not have thought about how these principles can potentially help when deciding your responsibilities assignments in a microservices architecture. Craig Larman in his book Applying UML and Patterns said that the “desert island skill”, the most important skill to have in Object Oriented Analysis/Design would be: “to skillfully assign responsibilities to software objects”. I think there is some truth to this when thinking about the most important microservices skill as well. Lets look at GRASP through the prism of microservices. Continue reading “Application of GRASP to Microservices”
Common Technical Debt in Microservices
Working for a consultancy I have the opportunity to talk to large number of software developers across multiple different projects. That gives me an opportunity to see what works and what common problems different organizations are facing. In this article I will show the most common mistakes in microservices that cause technical debt. I suggest what you could be doing instead. Continue reading “Common Technical Debt in Microservices”
Tracing messages in Choreography with Sleuth and Zipkin
One of the challenges in building distributed system is having a good visibility of what is happening inside them. This challenge is only magnified when dealing with choreography- microservices, loosely coupled, communicating via messaging. In this article you will see how Sleuth and Zipkin help to solve that problem.
Continue reading “Tracing messages in Choreography with Sleuth and Zipkin”
Handling bad messages with RabbitMQ and Spring Cloud Stream
When dealing with messaging in a distributed system, it is crucial to have a good method of handling bad messages. In complicated systems, messages that are either wrong, or general failures when consuming messages are unavoidable. See how you can deal with this problem using Dead Letter Queues, RabbitMQ and Spring Boot Cloud. Continue reading “Handling bad messages with RabbitMQ and Spring Cloud Stream”