Conference:March 6-8, 2017
Workshops:March 9-10, 2017
Track: Modern CS in the Real World
Location:
- Windsor, 5th flr.
Day of week:
- Wednesday
Computer Science research did not stop at QuickSort or the LR algorithm. In this track we'll cover topics such as probabilistic algorithms and data structures, new security and distributed algorithms, advances in typing, formal methods, new approaches to concurrency and much more. Why? Because we need to tackle ever more data in shorter periods of time - but our CPUs don't get much faster.
Concurrency helps - but that just brings new problems to tackle, and meanwhile more moving parts just means more things that can fall over if we're not careful. Time to sneak a peek at approaches real companies use to tackle this issues using Computer Science research and results from the last few decades.
by Slava Oks
Core Developer Behind Porting SQL Server to Linux @Microsoft
Will SQL Server perform on Linux better than on Windows? Have you been wondering whether the multi-layer architecture the team revealed recently will hurt SQL Server’s performance? Are you still not convinced about the entire endeavor. Come, listen to the talk, learn about SQL Server’s platform agnostic architecture then derive the answers for yourself. The talk will briefly go over history of the project, high level architecture and dive fast into core of I/O Manager, Memory Manager, and...
by Aaron Tomb
Research Lead, Software Correctness @Galois
Bugs in software are ubiquitous, but the impact of these bugs can vary widely. Sometimes they are largely benign, and at other times they can have catastrophic effects. Bugs in cryptographic software tend to be especially serious. To add to that, cryptographic algorithms are difficult to design and implement, requiring intricate and rare expertise. And even worse, such software operates in a context that can be assumed to be malicious, rather than random.
...by Sylvan Clebsch
CTO @Causality
Pony is an actor-model, capabilities-secure, native programming language. I will talk about reference capabilities (a type system for data-race freedom influenced by object capabilities and deny guarantee reasoning), the ORCA and MAC protocols for fully concurrent no-stop-the-world garbage collection of both objects and actors, and extending Pony to the distributed setting.
by Brian Goetz
Java Language Architect @Oracle
by Joe Duffy
Pulumi Co-founder & CEO, Previously @Microsoft Director of Engineering for Languages/Compilers
by Martin Thompson
High Performance & Low Latency Specialist
by Sylvan Clebsch
CTO @Causality
by Richard Feldman
Elm Pioneer & Software Engineer @noredink
Types, testability, tooling, paradigms, productivity, managed, native, concurrency, parallelism, performance, asynchrony, integrations, memory management, security, resilience, or, maybe, simple readability? What are the important things crossing the minds of language designers today as they build new languages or evolve the tried and trusted ones?
QCon convenes a panel of four language designers. These are people at the heart of questions like these. The computer science language...
by Alex Chan
Hypothesis Maintainer & Software Developer @WellcomeTrust
Testing is a cornerstone of modern software development. It provides us with a safety net against bugs and regressions – without testing, it would be impossible to write large-scale applications.
The traditional approach to testing relies on hard-coded examples: fire some specific inputs into a function, and compare the result to predetermined, expected output. This means somebody has to think of examples to test, but humans...
by Ben Stopford
Core Kafka team @Confluent
This talk is about the beauty of sequential access and append only data structures. We'll do this in the context of a little known paper entitled “Log Structured Merge Trees”. LSM describes a surprisingly counterintuitive approach to storing and accessing data in a sequential fashion. It came to prominence in Google's Big Table paper and today, the use of Logs, LSM and append only data structures drive many of the world's most influential storage systems:...
Tracks
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Architecting for Failure
Building fault tolerate systems that are truly resilient
-
Architectures You've Always Wondered about
QCon classic track. You know the names. Hear their lessons and challenges.
-
Modern Distributed Architectures
Migrating, deploying, and realizing modern cloud architecture.
-
Fast & Furious: Ad Serving, Finance, & Performance
Learn some of the tips and technicals of high speed, low latency systems in Ad Serving and Finance
-
Java - Performance, Patterns and Predictions
Skills embracing the evolution of Java (multi-core, cloud, modularity) and reenforcing core platform fundamentals (performance, concurrency, ubiquity).
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Performance Mythbusting
Performance myths that need busting and the tools & techniques to get there
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Dark Code: The Legacy/Tech Debt Dilemma
How do you evolve your code and modernize your architecture when you're stuck with part legacy code and technical debt? Lessons from the trenches.
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Modern Learning Systems
Real world use of the latest machine learning technologies in production environments
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Practical Cryptography & Blockchains: Beyond the Hype
Looking past the hype of blockchain technologies, alternate title: Weaselfree Cryptography & Blockchain
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Applied JavaScript - Atomic Applications and APIs
Angular, React, Electron, Node: The hottest trends and techniques in the JavaScript space
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Containers - State Of The Art
What is the state of the art, what's next, & other interesting questions on containers.
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Observability Done Right: Automating Insight & Software Telemetry
Tools, practices, and methods to know what your system is doing
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Data Engineering : Where the Rubber meets the Road in Data Science
Science does not imply engineering. Engineering tools and techniques for Data Scientists
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Modern CS in the Real World
Applied, practical, & real-world dive into industry adoption of modern CS ideas
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Workhorse Languages, Not Called Java
Workhorse languages not called Java.
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Security: Lessons Learned From Being Pwned
How Attackers Think. Penetration testing techniques, exploits, toolsets, and skills of software hackers
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Engineering Culture @{{cool_company}}
Culture, Organization Structure, Modern Agile War Stories
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Softskills: Essential Skills for Developers
Skills for the developer in the workplace
