In the near future I'll in Bangalore, Singapore and Seoul! I'm available for remote and in-person workshops and talks. If you are interested in having me visit your company please contact me directly.

I'm available to teach a microservice architecture at your organization - either online or in person - between now and the end of the year.

There are two to choose from:

• Designing microservices: responsibilities, APIs and collaborations - Through a combination of lectures, discussions, and kata exercises, I will walk you through distilling your application’s requirements into a collection of loosely coupled, appropriately-sized services.
• Hands on Microservice architecture and design workshop - Through a series of architectural katas you will learn about the key aspects of the microservice architecture. Appropriate for technology leaders, architects and developers using any language. 

Also, if there are other related workshop topics that your organization wants to learn about I'd love to hear your suggestions. Please let me know!

I recently came across an interesting paper, Software Architecture as a Set of Architectural Design Decisions. The authors propose that an application would be easier to maintain if the design decisions that were made when creating it become an explicit part of the architecture. While I generally agree with their proposal what resonated with me was the idea that an architecture is a set of design decisions.

A key consequence of this definition of architecture is that architecture elements exist to solve problems. Specifically, a service is an architectural element that exists to resolve dark energy forces.

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Since early this year, the news around generative AI technologies, such as ChatGPT, has been never ending. Some have even suggested that humanities existence is at stake. While there’s a massive amount of hype, there’s also a lot of potential as shown by tools such as ChatGPT and Copilot. Consequently, I decided to explore Generative AI from the perspective of an enterprise software architect. This article is the first in a series about generative AI - specifically Large Language Models (LLMs) - and the microservice architecture.

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It covers the key distributed data management patterns including Saga, API Composition, and CQRS.

The bootcamp consists of video lectures, quizzes and code walk-throughs/labs. It's self-paced and you can start at any time. There is a weekly ask-me-anything video conference repeated in multiple timezones.

Use the coupon KQAWEXBH to sign up for $120 ($275 discount!!). There are bigger discounts for buying multiple seats (10+ and 20+). Bulk purchases come with the option of private, paid Q&A sessions. Valid until November 7th, 2023

Learn more and enroll