Track: Architectures You've Always Wondered about
Day of week:
Behind every successful tech company, there is an architecture that enables it to function, innovate and scale. What best practices, patterns, and decisions have these companies employed on their road to success? What mistakes did they make along the way and what lessons did they learn? You will hear from companies that have scaled exponentially, handled billions of transactions and millions of users, revised processes and approaches, and ideated platforms that empower companies like yours. In this track, we hope to inspire you through their stories.
by Kinshuk Mishra
Ad Serving Engineering Director @Spotify
In a hyper growth product company continuous evolution of systems is inevitable as technology improves everyday, product and business needs evolve regularly and change in scale impacts operating costs. At Spotify the ads systems have undergone several changes fundamentally over the years. The performance needs from Spotify's ad technology stack are very demanding - high volume, high availability and low latency. Any downtime or outage has a direct and real...
by Sachin Kulkarni
Engineering Director @Facebook focused on Live, Videos, and Messenger
Facebook Live is a live streaming platform available to all Facebook users (1 billion daily active people) from Facebook apps as well as an API. It enables citizen journalism, makes it easy to share everyday moments with your friends and allows celebrities to interact with their fans directly. Facebook Live has seen a tremendous growth in usage since being launched to the public.
Building a successful Live streaming platform...
by Sam Adams
Head of Software Engineering @LMAX Exchange
Building a financial exchange like the one that LMAX Exchange operates presents a unique challenge. Our customers trade over $2 trillion a year through our platform, while demanding low and predictable latency with ever increasing volumes of transactions. In this talk we will present an overview of the architecture we use to deliver this, and share our experience of how taking a scientific approach to testing and tuning software has helped us to build a high-availability stateful system that...
by Greg Beech
Lead Engineer @Deliveroo
In just two years Deliveroo has expanded from central London to hundreds of cities in twelve countries, and the engineering team has grown at a similar rate. To allow us to continue innovating rapidly we need to be able to scale the team horizontally. But building distributed systems is hard, and typically requires hordes of very senior engineers with many years of experience and past failures behind them. This talk covers how Deliveroo is using domain driven design principles and powerful...
by Lisa Guo
Software Engineer @Instagram
Instagram is a social network mobile app that allows people to share the world's moments as they happen. It serves 300 millions users on a daily basis throughout the world.
In this talk, we will give an overview on the infrastructure that supports its users on this large scale.
Topics will include:
- a brief history of infrastructure evolution
- overall architecture and multi-data center support
- tuning of uwsgi parameters for scaling
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.
Containers - State Of The Art
What is the state of the art, what's next, & other interesting questions on containers.
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.
Data Engineering : Where the Rubber meets the Road in Data Science
Science does not imply engineering. Engineering tools and techniques for Data Scientists
Engineering Culture @ <insert cool company names here>
Culture, Organization Structure, Modern Agile War Stories
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: Interesting Stuff in the Space
What do you need to know about Java: JDK9, low latency, and more.
Modern CS in the Real World
Applied, practical, & real-world dive into industry adoption of modern CS ideas
Modern Distributed Architectures
Migrating, deploying, and realizing modern cloud architecture.
Modern Learning Systems
Real world use of the latest machine learning technologies in production environments
Observability Done Right: Automating Insight & Software Telemetry
Tools, practices, and methods to know what your system is doing
Performance myths that need busting and the tools & techniques to get there
Practical Cryptography & Blockchains: Beyond the Hype
Looking past the hype of blockchain technologies, alternate title: Weaselfree Cryptography & Blockchain
Security: The Attacker's Mindset
How Attackers Think. Penetration testing techniques, exploits, toolsets, and skills of software hackers
Softskills: Essential Skills for Developers
Skills for the developer in the workplace
Workhorse Languages, Not Called Java
Workhorse languages not called Java.