Silicon Valley
Presentations about Silicon Valley
Senior Software Engineer - Cloud Platform @Netflix
Allen Wang
Cloud-Native and Scalable Kafka Architecture
Co-Founder @Honeycombio, formerly DevOps @ParseIT/@Facebook
Charity Majors
Observability and Emerging Infrastructures
Building on Reactive Architectures @Lightbend
Kiki Carter
High Performance Actors
Head of Platforms, Product Integrations, Private Cloud and Partnerships @Zoom
Thiya Ramalingam
C++ for Real Time Communications in the Cloud
Real-time Streaming Lead @Uber
Danny Yuan
Scaling Uber's Elasticsearch Clusters
Sr. Staff Engineer @UberATG
Matt Ranney
Inside a Self-Driving Uber
Principal MTS, Architect @PayPal
Akara Sucharitakul
Streaming Reactive Systems & Data Pipes w. squbs
Software Engineer @PayPal
Anil Gursel
Streaming Reactive Systems & Data Pipes w. squbs
Product Security Lead @Synopsys
Marisa Fagan
Security Champions: Only YOU Can Prevent File Forgery
CTO and co-founder @AzulSystems
Gil Tene
Java at Speed
Product Engineer @Honeycomb
Chris Biscardi
Parallelizing Product Development with GraphQL
Engineer @Honeycomb & Co-Organizer of the AndConf Code Retreat / Unconference
Emily Nakashima
Observable JS Apps
PayPal Lead Data Architect, Risk and Compliance Management Platform
Mikhail Kourjanski
Real-Time Data Analysis and ML for FraudPrevention
Director, Data Science @Salesforce Einstein
Sarah Aerni
Models in Minutes not Months: AI as Microservices
Software Engineer @Samsara
Kavya Joshi
Applied Performance Theory
VP Engineering & Co-Founder @CitusData
Sumedh Pathak
The Future of Distributed Databases Is Relational
Developer Advocate @JFrog
Baruch Sadogursky
Data Driven DevOps
CEO & co-founder @LaunchDarkly
Edith Harbaugh
DevOps 2.0 - When Everyone Can Run What’s Built
Head of Technology - Products @ThoughtWorks
Sheroy Marker
Continuous Delivery of Microservices
Executive vice president @ScaleFlux
Thad Omura
Have Your Cake and Strong Consistency, too
CTO and CO-Founder @Aerospike
Brian Bulkowski
Have Your Cake and Strong Consistency, too
Interviews
Featured Interview
Scaling Uber's Elasticsearch Clusters
How you you describe the persona and level of the target audience?
The target audience are software engineers or SREs who are interested in scaling out Elasticsearch for OLAP workload. The audience should have basic understanding of Elasticsearch and OLAP.
What do you want “that” persona to walk away from your talk knowing that they might not have known 50 minutes before?
The audience will know how to scale out Elsaticsearch as an efficient real-time OLAP system in three dimensions: data ingestion, query, and operations.
See more interviews
Engineer @Honeycomb & Co-Organizer of the AndConf Code Retreat / Unconference
Emily Nakashima
Director, Data Science @Salesforce Einstein
Sarah Aerni
