You are viewing content from a past/completed conference.
Leveraging Determinism
Determinism is a very powerful concept when paired with fast business logic. We discuss both intuitive and not-so-obvious architecture choices that can be made to dramatically scale and simplify systems with these properties.
We built our latency sensitive exchange around a blazing fast open source raft cluster. After some time in production, observations about the nature of our request and event messages coupled with some timely advice led us to upend our service topology. Find out how rerunning core logic at the edges of a system can:
- Decrease bandwidth usage and buffering across the system
- Protect against thundering herd problems by making network usage more predictable
- Simplify the logic of gateway and persistence services downstream from your core logic
Speaker
Frank Yu
Senior Engineering Manager @Coinbase, previously Principal Engineer and Director @FairX
Frank is an engineering leader at Coinbase, focusing on distributed low latency trading platforms. Prior to Coinbase, he served as Principal Engineer and later Director of Software Engineering at FairX, leading the design and build of what would become the Coinbase Derivatives Exchange post acquisition. Frank has spent over a decade making tradeoffs on mission critical systems with submillisecond response times and loves chatting about complexity, testing, and performance.
Read more
Find
Frank Yu
at:
From the same track
Session
Backends
Backends in Dart
Monday Oct 24 / 10:35AM PDT
Dart's popularity has surged in the past few years, as it's the language behind Flutter - Google's cross platform front end framework. That's now driving a notion of 'Full Stack Dart', where if you've spent time learning Dart for the front end, why not also use it for the back end.
Chris Swan
Engineer @atsigncompan, Previously Fellow @DXCTechnology, CTO & Director of R&D roles @CohesiveNetworks @UBS @Capital SCF and @Credit Suisse
Backends in Dart
Session
Backends
24/7 State Replication
Monday Oct 24 / 11:50AM PDT
Systems that operate non-stop, 24/7 are standard in many consumer-facing industries. Often, but definitely not always, these systems do not have aggressive SLAs nor high availability needs to the degree that some financial systems demand. But that is changing.
Todd Montgomery
Ex Researcher @Nasa, Engineering Fellow @ Adaptive Financial Consulting and a High Performance Distributed Systems Whisperer
24/7 State Replication
Session
Panel: Building Modern Backends
Monday Oct 24 / 02:55PM PDT
Join today’s speakers in an open panel conversation about modern backends and the languages used to build them. Our panelists today come from backgrounds focused on high performance, legacy modernization, and low latency. The speakers span a variety of software languages and industries.
Chris Swan
Engineer @atsigncompan, Previously Fellow @DXCTechnology, CTO & Director of R&D roles @CohesiveNetworks @UBS @Capital SCF and @Credit Suisse
Frank Yu
Senior Engineering Manager @Coinbase, previously Principal Engineer and Director @FairX
Juncheng Yang
Ph.D. student @CarnegieMellon, Focus on Efficiency and Performance, Previously @Twitter & @Cloudflare, Facebook Fellow
Panel: Building Modern Backends
Session
Microservices
Data Mesh: Are We There Yet?
Monday Oct 24 / 04:10PM PDT
Standing at an inflection point is a magical experience. It’s where we look at what has come before, learn from it, and choose a new path. Data Mesh has motivated many organizations to stand at an inflection point of their approach to data.
Zhamak Dehghani
CEO and Founder @Stealth Startup, Data Mesh Founder, Author, Speaker
Data Mesh: Are We There Yet?
Session
Ubiquitous Caching: A Journey of Building Efficient Distributed and In-Process Caches at Twitter
Monday Oct 24 / 01:40PM PDT
Modern web applications widely deploy cache across the stack to speed up data access and improve throughput.
In this talk, I will discuss three trends in hardware, workload, and cache usage that shape the design of modern caches.
Juncheng Yang
Ph.D. student @CarnegieMellon, Focus on Efficiency and Performance, Previously @Twitter & @Cloudflare, Facebook Fellow
Ubiquitous Caching: A Journey of Building Efficient Distributed and In-Process Caches at Twitter