I'm Thanos, a Senior Software Engineer team lead at XM.
For the last 3 years I've been mostly losing my hair over performance testing and scaling of critical applications.
As a developer, I'm really passionate about observability, "measuring all the things", and pushing for data driven decisions.
Of course, I do enjoy the thrill of the occasional late Friday night deploy to prod!
This talk will take you on a journey through the pursuit of performance in AWS serverless services.
For those who have embarked on a similar path, you’d agree that it’s rarely a smooth ride—complexities often arise, especially when navigating the mysteries of AWS (serverless) black boxes.
We’ll dive into XM’s backend architecture, which powers the real-time delivery of hundreds of thousands of financial market data to thousands of clients.
Along the way, we’ll uncover pitfalls that only emerge at scale, walk through our custom performance-testing suites that guide critical decisions, and examine challenges such as AWS quirks and scaling issues in Kubernetes for Java-based applications.
Ultimately, this session is about tackling the intricate scaling challenges that all backend engineers encounter and sharing actionable strategies and mindsets to overcome them.
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