Track:
Compelling applications of stream processing & recent advances in the field
Tyler Akidau is a senior staff software engineer at Google, where he is the technical lead for the Data Processing Languages & Systems group, responsible for Google's Apache Beam efforts, Google Cloud Dataflow, and internal data processing tools like Google Flume, MapReduce, and MillWheel. His also a founding member of the Apache Beam PMC. Though deeply passionate and vocal about the capabilities and importance of stream processing, he is a firm believer in batch and streaming as two sides of the same coin, with the real endgame for data processing systems the seamless merging between the two. He is the author of the 2015 Dataflow Model paper, the Streaming 101 and Streaming 102 articles, and the upcoming Streaming Systems book. His preferred mode of transportation is by cargo bike, with his two young daughters in tow.
by Aris Koliopoulos
CTO @Drivetribe
by Hamish Dickson
Backend engineer @Drivetribe
Drivetribe is the world's biggest motoring destination, as envisioned by Jeremy Clarkson, Richard Hammond, and James May. Built on top of the Event Sourcing/CQRS pattern, the Drivetribe platform uses Apache Kafka as its source of truth and Apache Flink as its processing backbone. This talk aims to elaborate on how common problems in social media, such as analysing user sessions, counting big numbers and making real time recommendations can be resolved with a...
by Jibran Saithi
Lead Architect @Qubit
Every year, we’ve set ourselves a goal of dramatically improving the performance and efficiency of our core data pipelines. We’ve done this by re-writing, effectively from scratch, the streaming pipelines that are responsible for processing over 120,000 events per second to deliver realtime personalisation to millions of web and mobile clients.
From our initial custom ETL system to the latest generation powered by Apache Beam, we’ve learnt to both respect and ignore the common wisdom...
by Stephan Ewen
Committer @ApacheFlink, CTO @dataArtisans
Come learn how Apache Flink is making stateful stream processing even more expressive and flexible to support applications in streaming that were previously not considered streamable.
Over the last years, data stream processing has redefined how many of us build data pipelines. Apache Flink is one of the systems at the forefront of that development: With its versatile APIs (event-time streaming, Stream SQL, events/state) and...
by Tyler Akidau
Engineer @Google & Founder/Committer on Apache Beam
What does it mean to execute robust streaming queries in SQL? What is the relationship of streaming queries to classic relational queries? Are streams and tables the same thing conceptually, or different? And how does all of this relate to the programmatic frameworks like we’re all familiar with? This talk will address all of those questions in two parts.
First, we’ll explore the relationship between the Beam Model (as...
by Akara Sucharitakul
Principal MTS, Architect @PayPal
by Anil Gursel
Software Engineer @PayPal
Reactive libraries are nothing new to the JVM. Reactive Streams as an SPI has even made its way into Java 9. However, their uses within microservice components are still for relatively narrow purposes like service orchestration. But we think differently. Our whole presence and universe can be thought of as streams of events and activities. And that's the core concept of a new kind of system we design/built - streams end-to-end.
This talk will focus on modeling and building...
Last Year's Tracks
Monday, 5 March
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Leading Edge Backend Languages
Code the future! How cutting-edge programming languages and their more-established forerunners can help solve today and tomorrow’s server-side technical problems.
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Security: Red XOR Blue Team
Security from the defender's AND the attacker's point of view
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Microservices/ Serverless: Patterns and Practices
Stories of success and failure building modern service and function-based applications, including event sourcing, reactive, decomposition, & more.
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Stream Processing in the Modern Age
Compelling applications of stream processing & recent advances in the field
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DevEx: The Next Evolution of DevOps
Removing friction from the developer experience.
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Modern CS in the Real World
Applied trends in Computer Science that are likely to affect Software Engineers today.
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Speaker AMAs (Ask Me Anything)
Tuesday, 6 March
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Next Gen Banking: It’s not all Blockchains and ICOs
Great technologies like Blockchain, smartphones and biometrics must not be limited to just faster banking, but better banking.
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Observability: Logging, Alerting and Tracing
Observability in modern large distributed computer systems
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Building Great Engineering Cultures & Organizations
Stories of cultural change in organizations
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Architectures You've Always Wondered About
Topics like next-gen architecture mixed with applied use cases found in today's large-scale systems, self-driving cars, network routing, scale, robotics, cloud deployments, and more.
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The Practice & Frontiers of AI
Learn about machine learning in practice and on the horizon
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JavaScript and Beyond: The Future of the Frontend
Exploring the great frontend frameworks that make JavaScript so popular and theg JavaScript-based languages revolutionising frontend development.
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Speaker AMAs (Ask Me Anything)
Wednesday, 7 March
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Distributed Stateful Systems
Architecting and leveraging NoSQL revisitied
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Operating Systems: LinuxKit, Unikernels, & Beyond
Applied, practical, & real-world deep-dive into industry adoption of OS, containers and virtualisation, including Linux on Windows, LinuxKit, and Unikernels
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Architecting for Failure
If you're not architecting for failure you're heading for failure
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Evolving Java and the JVM: Mobile, Micro and Modular
Although the Java language is holding strong as a developer favourite, new languages and paradigms are being embraced on JVM.
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Tech Ethics in Action
Learning from the experiences of real-world companies driving technology decisions from ethics as much as technology.
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Bare Knuckle Performance
Killing latency and getting the most out of your hardware
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Speaker AMAs (Ask Me Anything)