Track: Innovations in Fintech
Day of week:
FinTech is a fast-moving trend; it focuses on emergent technological innovation in the financial sector. Historically applied mostly at investment banks and hedge funds, FinTech is now exploding with new ideas and startups in digital payment systems, crypto-currencies, machine-based advisors, cloud-based techniques for behavioral analytics, ML-enhanced risk management, etc.
by Sean T. Allen
VP of Architecture/Engineering @SendenceEng
Pony is a high-performance, actor based language that compiles to native code. Pony holds great promise for writing *the kinds of* highly concurrent, performance sensitive applications that dominate Fintech. In this talk, I'll discuss my experiences using Pony to build Wallaroo: a high-performance, low-latency stream processing engine. By the end of the talk you'll have learned a little about Pony, what it's like to build a large application with it, and the kinds of problems Pony is great...
by Varun Srinivasan
Engineering Manager @Coinbase
Coinbase runs one of the largest digital currency exchanges in the cloud, storing over a billion dollars of assets for our users. As we've grown, we've scaled infrastructure and built payment systems that bridge two very different sides of finance while fending off attackers, fraudsters and bad guys along the way. In this talk, we’ll share some of the most interesting war stories from Coinbase, and what we’ve learned from them. First, we'll talk about designing systems resilient to...
by Gil Tene
CTO & Co-Founder @AzulSystems
Putting a technology to use in Finserv environments is a great way to find and stretch its limitations, and Java is a great example of that. Behavior artifacts that may be generally interesting across industries often become highlighted as specifically named problems in FinServ. For example, requests to solve to the Java's "Market Open" and "Rare Trading Algo" issues rank among the most requested customer-driven features we've seen. Similarly, the constant drive for speed and leverage of the...
by Danny Goovaerts
CTO at THE GLUE SOLUTIONS
To take on new competitors and grab the attention of new generations of clients, traditional financial institutions are faced with the challenge of reinventing their service offering for a digital economy. Our new services must combine modern data types with legacy data, with interaction throughput's an order of magnitude higher. And when existing back-end systems are not architecturally or technologically geared up for these challenges, a new solution approach is needed. In this talk, we...
Monday, 26 June
High Velocity Dev Teams
Working Smarter as a team. Improving value delivery of engineers. Lean and Agile principles.
Innovations in Fintech
Technology, tools and techniques supporting modern financial services.
Java - Propelling the Ecosystem Forward
Lessons from Java 8, prepping for Java 9, and looking ahead at Java 10. Innovators in Java.
Microservices: Patterns & Practices
Practical experiences and lessons with Microservices.
Modern Clientside Apps
Reactive, cross platform, progressive - webapp tech today.
Tuesday, 27 June
Architectures You've Always Wondered about
Case studies from the most relevant names in software.
Building Security Infrastructure
How our industry is being attacked and what you can do about it.
Chaos & Resilience
Failures, edge cases and how we're embracing them.
Developer Experience: Level up your engineering effectiveness
Trends, tools and projects that we're using to maximally empower your developers.
Stream Processing at Large
Rapidly moving data at scale.
Wednesday, 28 June
Immutable Infrastructures: Orchestration, Serverless, and More
What's next in infrastructure. How cloud function like lambda are making their way into production.
Machine Learning 2.0
Machine Learning 2.0, Deep Learning & Deep Learning Datasets.
Modern CS in the Real World
Applied, practical, & real-world dive into industry adoption of modern CS.
Next Gen APIs: Designs, Protocols, and Evolution
Practical deep-dives into public and internal API design, tooling and techniques for evolving them, and binary and graph-based protocols.
Maximizing your impact as an engineer, as a leader, and as a person.