Bilgin Ibryam

Bilgin Ibryam is an Architect at Red Hat and committer at Apache for Camel, OFBiz, and Isis projects. He is a blogger, speaker, open-source enthusiast and the author of Camel Design Patterns and Kubernetes Patterns books. In his day-to-day job, Bilgin enjoys mentoring, training and leading teams to be successful with application integration, distributed systems, Microservices, DevOps, and cloud-native applications.

Recent Posts

Hexagonal Architecture as a Natural fit for Apache Camel

There are architectures and patterns that look cool on paper, and there are ones that are good in practice. Implementing the hexagonal architecture with Camel is both: cool to talk about, and a natural implementation outcome. I love going hexagonal with Camel because it is one of these combinations where the architecture and the tool come together naturally, and many end up doing it without realizing it. Let’s see why that is the case.

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Camel Design Patterns

Short Retry vs Long Retry in Apache Camel

My Camel Design Patterns book describes 20 patterns and numerous tips and best practices for designing Apache Camel based integration solutions. Each pattern is based on a real world use case and provides Camel specific implementation details and best practices. To get a feel of the book below is an extract from the Retry Pattern section describing how to do Short and Long retires in Apache Camel.

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New Distributed Primitives for Developers

Object-Oriented Primitives (in-process primitives)

As a Java developer, I’m well familiar with object-oriented concepts such as class, object, inheritance, encapsulation, polymorphism, etc. In addition to the object-oriented concepts, I’m also well familiar with the Java runtime, what features it provides, how it manages my applications, what would be the life cycle of my object and the application as a whole, etc.

And for over a decade, I’ve used all the primary tools, primitives, and building blocks as a developer to create applications. In my mental model, I would use classes as components, which would give birth to objects that are managed by the JVM. But that model has started to change recently.

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Microservices Deployments Evolution

Microservices Are Here, to Stay

A few years back, most software systems had a monolithic architecture and slow release cycle. In the recent years, there is a clear move towards Microservices architecture, which is optimized for scalability, elasticity, failure, and speed of change. This trend has been further enforced by the adoption of cloud and containers, which also enabled practices such as DevOps.

Trends in the IT Industry

All these changes have resulted in a growing number of services to develop and an even bigger number of deployments to do. It soon became clear that the explosion in the number of deployments cannot be controlled using pre-microservices tools and techniques, and new ways have been born. In this article, we will see how Cloud Native platforms such as Kubernetes allow deployment of Microservices in high scale with minimal human intervention.

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Spring Cloud for Microservices Compared to Kubernetes

Spring Cloud and Kubernetes both claim to be the best environment for developing and running Microservices, but they are both very different in nature and address different concerns. In this article we will look at how each platform is helping in delivering Microservice based architectures (MSA), in which areas they are good at, and how to take best of both worlds in order to succeed in the Microservices journey.

Background Story

Recently I read a great article about building Microservice Architectures With Spring Cloud and Docker by A. Lukyanchikov. If you haven’t read it, you should, as it gives a comprehensive overview of what it takes to create a simple Microservices based system using Spring Cloud. In order to build a scalable and resilient Microservices system that could grow to tens or hundreds of services, it must be centrally managed and governed with the help of a tool set that has extensive build time and run time capabilities. With Spring Cloud, that involves implementing both functional services (such as statistics service, account service and notification service) and supporting infrastructure services (such as log analysis, configuration server, service discovery, auth service). A diagram describing such a MSA using Spring Cloud is below:

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MSA with Spring Cloud (by A. Lukyanchikov)

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