Speaker
Abstract
Over the decades, we have seen several architectural principles and patterns that helped enterprises build monolithic applications that stood the test of time. The emergence of microservices made us rethink how we built these business applications. It led us to break the complex monolith applications into countless microservices. The popularity of cloud and containerization revolutionized microservices.
Amidst this adoration emerged the next evolution of the cloud - serverless! With the ephemeral, granular, and independent nature of cloud resources, serverless tests our thinking, shifts our minds, and questions how we architect business applications. In addition, concepts such as asynchrony and event-driven communication are becoming prevalent. In this talk, we will examine how the characteristics of serverless influence us to think in a new way of architecting and evolving modern applications as set pieces.
Interview
I am part of an enterprise where I enable engineers to architect and build distributed systems to solve business problems using cloud and serverless technologies.
We learn and apply architectural principles and patterns to solve common to complex problems. However, we often repeat the same patterns in the same way regardless of the underlying technology. As a technology, serverless brings unique characteristics and offers a different perspective to architect and design solutions. In this talk, I introduce a way of thinking to break down complexity and still build loosely coupled microservices - in a serverless way!
Anyone with an engineering mindset willing to learn some new design approach or understand how to break a problem into manageable parts that are modular, extendible, and observable microservices would benefit from this talk.
I want people to create a mindset to visualize their big business problems and apply the microservices principles and serverless characteristics to break them down into parts they can focus on to build incrementally and iteratively within each problem's bounded context.
Topics
QCon London 2024 is a three day conference for senior software engineers, architects and team leads. An international program committee of working engineers selects every session. Patterns and practices, not products and pitches.
Part of the track
Architecture Through Different Lenses Hosted by Blanca Rojo Executive Director, Distinguished Engineer and Cloud Engineer @UBSFrom the same track
Wednesday 10 April
10:35 Fleming (3rd Fl.) Session Thinking Like an Architect Gregor Hohpe Director of Enterprise Strategy @Amazon Are architects supposed to be the smartest people on the team, making all the important decisions for developers to fill in the blanks? Certainly not. Rather, architects make everyone else smarter, for example by sharing decision models or revealing blind spots. 11:45 Fleming (3rd Fl.) Session AWS Think, Architect, and Sustain Your Serverless Applications As [Set] Pieces! Sheen Brisals Senior Engineering Manager, Author, and AWS Serverless Hero Over the decades, we have seen several architectural principles and patterns that helped enterprises build monolithic applications that stood the test of time. The emergence of microservices made us rethink how we built these business applications. 13:35 Fleming (3rd Fl.) Session Evolving Trainline Architecture for Scale, Reliability and Productivity Milena Nikolic CTO @Trainline, Previously Engineering Director @Google Trainline has been enabling customers to buy train tickets online for over 15 years. 14:45 Fleming (3rd Fl.) Session How to Architect Software for a Greener Future Sara Bergman Senior Software Engineer @Microsoft Few industries have moved fast enough to support the energy transition, and that includes the tech sector. How will software development and operations have to change to meet the sustainability and green needs of the planet? 15:55 Fleming (3rd Fl.) Session Data Mesh Architecture Applied to Complex Organizations Nandakumar Heble Data Architect @UBS, Previously @Barclays, Over 25+ Years of Experience Large financial enterprises often grapple with the challenges of complex data landscapes, ranging from managing petabytes of data produced, increasing regulatory compliance requirements and meeting the needs of different consumers.