Presentation: 99.99% Uptime at 175 TB of Data Per Day
Abstract
In this talk we will cover how we design, build, and scale our platform to handle 5 million requests per second, 200 billion financial transactions a day and 175+ TBs of daily data processing distributed globally while handling unexpected unbounded growth. We will explain the rapid growth challenges we tackle every day in the areas of planning, releasing, monitoring and scaling our distributed systems with four nines of uptime. We will cover real-time updates of business logic with zero downtime, control systems and feedback loops, monitoring and app/event introspection.
Tracks
Monday, 26 June
-
Microservices: Patterns & Practices
Practical experiences and lessons with Microservices.
-
Java - Propelling the Ecosystem Forward
Lessons from Java 8, prepping for Java 9, and looking ahead at Java 10. Innovators in Java.
-
High Velocity Dev Teams
Working Smarter as a team. Improving value delivery of engineers. Lean and Agile principles.
-
Modern Browser-Based Apps
Reactive, cross platform, progressive - webapp tech today.
-
Innovations in Fintech
Technology, tools and techniques supporting modern financial services.
Tuesday, 27 June
-
Architectures You've Always Wondered About
Case studies from the most relevant names in software.
-
Developer Experience: Level up Your Engineering Effectiveness
Trends, tools and projects that we're using to maximally empower your developers.
-
Chaos & Resilience
Failures, edge cases and how we're embracing them.
-
Stream Processing at Large
Rapidly moving data at scale.
-
Building Security Infrastructure
How our industry is being attacked and what you can do about it.
Wednesday, 28 June
-
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.
-
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.
-
Optimizing Yourself
Maximizing your impact as an engineer, as a leader, and as a person.
-
Ask Me Anything (AMA)