InfoQ Homepage QCon Software Development Conference Content on InfoQ
-
Simplifying ML Workflows with Apache Beam
Tyler Akidau discusses how Apache Beam is simplifying pre- and post-processing for ML pipelines.
/presentations/ml-workflow-apache-beam/en/mediumimage/Tybig-1529542935186.JPG)
-
How Events Are Reshaping Modern Systems
Jonas Bonér explores the nature of events, what it means to be event-driven, and how to unleash the power of events.
/presentations/systems-event-driven/en/mediumimage/Jonbig-1529281925196.JPG)
-
Engineering Culture Revived
Finbarr Joy highlights the techniques software development teams can adopt for themselves to establish a robust engineering culture and a ‘defence’ against misguided top down-driven ’transformations’.
/presentations/robust-engineering-teams/en/mediumimage/Finbig-1529280211809.JPG)
-
Building and Growing Sustainable Teams
Vlad Galu talks about how team dynamics should work to survive ‘difficult’ times and strive for “perfect” rather than “good enough”.
/presentations/growing-sustainable-teams/en/mediumimage/Vladbig-1529115661609.JPG)
-
An Engineering-led Culture at Scale
Amanda Bellwood talks about how to create a learning environment that encourages meaningful growth by empowering teams and individuals to drive their own progress.
/presentations/learning-environment/en/mediumimage/Amabig-1529115382681.JPG)
-
It's People, Stupid (People Are Stupid?)
Andy Walker’s proposition is that the reason things fail is usually people, not technology. This provocative discussion includes themes on ‘the broken human machine’, the ‘authority delusion’ and more
/presentations/human-fail-technology/en/mediumimage/Andbig-1529113899438.JPG)
-
Building Great Engineering Cultures Panel
The panelists discuss topics relating to the challenges of engineering culture development.
/presentations/engineering-cultures-panel/en/mediumimage/Panbig-1529113664697.jpg)
-
Gimel: PayPal’s Analytics Data Platform
Deepak Chandramouli introduces and demos Gimel, a unified analytics data platform which provides access to any storage through a single unified data API and SQL.
/presentations/gimel-paypal/en/mediumimage/Deebig-1528941201064.JPG)
-
Understanding Software System Behavior with ML and Time Series Data
David Andrzejewski discusses how time series datasets can be combined with ML techniques in order to aid in the understanding of system behaviors in order to improve performance and uptime.
/presentations/ml-time-series/en/mediumimage/Understanding-Software-System-Behavior-with-ML-and-time-series-data-ribbon-1530265468916.jpg)
-
Analyzing & Preventing Unconscious Bias in Machine Learning
Rachel Thomas keynotes on three case studies, attempting to diagnose bias, identify some sources, and discusses what it takes to avoid it.
/presentations/unconscious-bias-machine-learning/en/mediumimage/Analyzing-Preventing-Unconscious-bias-in-Machine-Learning-ribbon-1530264897468.jpg)
-
Building a Culture of Continuous Improvement
Kevin Goldsmith shows what Avvo has done to build a foundation for a continuous improvement culture.
/presentations/avvo-continuous-improvement/en/mediumimage/Kevbig-1528595565081.JPG)
-
Observable JS Apps
Emily Nakashima talks about an event-driven approach to client-side observability for the most complicated parts of Honeycomb's customer-facing React app: the query builder.
/presentations/observability-js-honeycomb/en/mediumimage/Embig-1528594866928.JPG)