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Full Stack Fest 2017
Videos
1 — Rendering performance from the ground up (Martin Splitt)
2 — Highlights of Full Stack Fest 2017: Problems of today, wonders from the future
3 — The web of commons (Karissa McKelvey)
4 — Ethereum, Aeternity and the distributed wonders (Luca Marchesini)
5 — Migrating an existing service to serverless (Marcia Villalba)
6 — Defending the human network (Dr. Jessica Barker)
7 — The rise and fall of the full stack database (Frank Lyaruu)
8 — What to do when complex systems fail: A guide to chaos management (Aish Dahal)
9 — An introduction to distributed tracing and Zipkin (Adrian Cole)
10 — The new reality of DDOS (John Graham Cumming)
11 — Practical distributed systems: Building for the real world with chaos engineering (James Burns)
12 — Smart Grid: How IoT fights climate change (Kelsey Breseman)
13 — Gone in 60 milliseconds: Offensive security in the serverless age (Rich Jones)
14 — Front-end keynote (Jenn Schiffer)
15 — Magic Tricks with CSS Houdini (Sam Richard)
16 — Once you go PRPL... (Houssein Djirdeh)
17 — Using React Native + ClojureScript to launch iOS/Android apps to 1M users (Emin Hasanov)
18 — SVG can do that?! (Sarah Drasner)
19 — Blasting React into Space: Building fluid interface swith React and WebGL (Ashi Krishnan)
20 — Exploring the world of decentralized networks with WebRTC (Nikita Baksalyar)
21 — Web based Virtual Reality (Shagufta Gurmukhdas)
22 — Bringing back the 1990s: The revenge of JavaScript Style Sheets (Steve Kinney)
23 — Front-end lightning talks (Full Stack Fest 2017)
24 — Making a lot of things (Ben Foxall)
25 — Progressive Web Apps and the Internet of Things (Luis Montes)
26 — Developing for the next Billion (Natalie Pistunovich)
27 — Master the art of the AST and take control of your JS (Yonatan Mevorach)
28 — Beyond patterns: Technological systems and the nature of order (Jerome Scheuring)
29 — Back-end lightning talks (Full Stack Fest)
30 — Flying Spaguetti Monster: Verifying protocols with types and finite state machines (Chris Ford)
31 — How Booking.com serves Deep Learning Model Predictions (Sahil Dua)
32 — Terraform in your delivery pipeline (Anton Babenko)
