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EVENT DETAILS |
Adopt the right
emerging trends
Make the right decisions by uncovering how senior software developers at early adopter companies are adopting emerging trends.
Learn the emerging trends. Explore the use cases. Implement the best practices.
QCon New York international software development conference.
New York Marriott at the Brooklyn Bridge, June 13-15, 2023.
We've helped thousands of senior software engineers, software architects & tech leaders adopt the right patterns & practices for over 17 years.
Explore the tracks you will see at QCon New York
Discover what you'll learn
JUN 13
Architectures You've Always Wondered About
Join the big names in software as they share details on their architectural challenges of delivering content & functionality at massive scale with modern & aging technology alike.
Sergey Fedorov
Director of Engineering @Netflix
Architectures You've Always Wondered About
JUN 13
Modern Data Architecture & Engineering
Innovations happening in the data engineering space, including data streaming (stream processing, stream warehouse, stream graph), data API's (gRPC, GraphQL, REST), data lineage, automated data pipelines, & cloud data platforms & containerization technologies.
Allen Wang
Senior Staff Engineer @DoorDash
Modern Data Architecture & Engineering
JUN 13
Language Platforms & Software Supply Chain
As computing evolved, targeting specific hardware & architectures became impractical, leading to the development of language platforms & runtimes such as Java's JVM & Microsoft's CLR.
Priya Wadhwa
Software Engineer @Chainguard
Colin Eberhardt
CTO @Scott_Logic
Language Platforms & Software Supply Chain
JUN 13
Staff+ Engineering: New Skills, New Challenges
There are different skills required to be a senior engineer. You need to gain an understanding of the tech strategy, influence people, & manage your time to enable people & deliver complex projects.
Leslie Chapman
Engineering Fellow @Comcast
Staff+ Engineering: New Skills, New Challenges
JUN 14
Designing Modern Reliable Architectures
Real-world strategies & techniques for designing & maintaining resilient software systems. Industry experts discussing emerging trends & best practices in areas such as fault tolerance, distributed systems, & scalability to optimize software reliability & drive business success.
Silvia Esparrachiari
Software Engineer @Google
Designing Modern Reliable Architectures
JUN 14
MLOps - Production & Delivery for ML Platforms
Emerging engineering discipline combining ML, DevOps & Data Engineering, topics: feature engineering, model dev, lifecycle management. Model Inference/Prediction, observability).
Bozhao (Bo) Yu
Founder @BentoML.ai
MLOps - Production & Delivery for ML Platforms
JUN 14
Next Gen Fintech: Performance, Complexity & Privacy
The tech & architectures adopted by FinTech startups & established financial institutions as they innovate on performance & compliance.
Neha Sardana
Vice President & Senior Developer @MorganStanley
Next Gen Fintech: Performance, Complexity & Privacy
JUN 14
Optimizing Teams for Fast Flow - Surviving in the Post-agile Aftermath
Patterns & heuristics enabling fast flow & rapid evolution of modern software, including decision/sense making techniques, team dynamics, & technical practices.
Katharine Chajka
Senior Product Manager @Planview Flow Methodology
Optimizing Teams for Fast Flow - Surviving in the Post-agile Aftermath
JUN 15
Doing Platform Engineering Well
How to build an internal developer platform that is a compelling product for your engineering teams, supporting their autonomy & allowing them to focus on delivering business value at a higher pace.
Sarah Wells
Independent Consultant & Author
Doing Platform Engineering Well
JUN 15
Next in Cloud Native Development
Latest advancements & best practices from the world of Cloud Native development, including Go on Cloud, config DSLs, tooling on Cloud, Ecstasy lang, Serverless architectures, & more.
Christie Warwick (Wilson)
Software Engineer @Google
Next in Cloud Native Development
JUN 15
ML in Practice
In this track, we'll look at the practical application of machine learning in experiences that you have come to rely on.
Sid Anand
Chief Architect & Head of Engineering @Datazoom
ML in Practice
JUN 15
Resilience Engineering - Culture as a System Requirement
Lessons learned from failures & outages, including humane operations, effective postmortems, & building systems knowing humans make mistakes.
Vanessa Huerta Granda
Solutions Engineer @Jeli.io
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