Reactive Summit 2022

All aspects of event-driven design, streaming technology, and real-time systems essentially revolve around how we see data as events, how we model events and essentially the transition and transformations over the data. The pitfalls often come from thinking a domain itself like a legacy. I would present ten such practices which a team can keep in mind to ensure their event streaming work stays successful and impactful

1. Setting Expectations
2. You Are Not Trying To Build Legacy 2.0
3. Be Aware Of Business Gerunds
4. Don't Overinvest In A Single Platform
5. Upskilling With New Development Paradigms
6. Processing Topology Debugging Can Be Extremely Challenging
7. An Inefficient Topology/Data Pipeline Can Have Lasting Consequences
8. Handling Stateful Workloads
9. Frequently Changing Needs Can Pose Challenges
10. Centralized Ownership Can Be An Existential Threat

The above ten practices would be presented while showing actual examples of what happened while developing and what could have been understood and done better, in a lucid way

(Also based on my recently published article https://www.forbes.com/sites/forbestechcouncil/2022/05/19/10-best-practices-for-event-streaming-success/)

Back in 2020, Qonteo was founded. A startup initiative specialized in biometric technologies, Image processing and Data analytics. In a period of 3 month, Qonteo started to receive a quite a few requests to demonstrate and pilot its solutions, and a decision had to be made about software design, architecture and infrastructure to support our ideas, spending the minimal resources (in a minimalist approach), keeping costs low while we could escalate demos through multiple clients in order to catalyze their business revenue. From Legacy to Reactive Application Modernization, this lecture involves Reactive Computing at the edge, streaming machine learning, and deep learning algorithms, new trends in image recognition, processing and data presentation, serverless/Cloud architecture and use cases in which reactive principles are applied. AS well as Systems Fundamentals and programing in different layers and levels of abstraction. There will be presented a real time demo, with the whole chain of software engineering involved, such as backend, front end and middleware integration and their programing stacks.

As developers, our job is to create value by writing code. We write code to solve business challenges and create value for our companies or customers. But writing code is just one part of it. We need to understand how and where it will run, how it will perform under load, how we will scale it out, etc. Imagine a world where we can focus on the essence of our job, which is creating value through code. Imagine if we could declaratively express what needs to happen and not care how it will be executed. A world where we can focus on data modelling and code, instead of infrastructure and database tables. Now, on top of that, imagine if such an application simply complies with the Reactive Principles. Wouldn't that be cool? Well, that's what Kalix has to offer. In this talk, we will walk you through the main concepts in Kalix. You will learn how to build a Kalix application by composing Kalix components and deploying it to production in no time.