Track: Developer Experience: Level up your engineering effectiveness
A software engineering organization is most useful to the business when its time is totally focused on the art and science of building great software products and services. Developer Experience is about maximizing that effectiveness by simplifying the process of developing, deploying, operating and supporting software. Practices like Continuous Delivery are a great step in that direction, but we need to also succeed in many other areas. We will explore tools and techniques to manage cross-platform environments, evaluate detailed insights into these systems and study lessons learned with the intricacies of managing complex test environments.
Architectures You've Always Wondered about
Case studies from the most relevant names in software
How our industry is being attacked and what you can do about it.
Chaos & Resilience
Failures, edge cases and how we're embracing them.
Developer Experience: Level up your engineering effectiveness
Trends, tools and projects that we're using to maximally empower your developers.
High Velocity Dev Teams
Working Smarter as a team. Improving value delivery of engineers. Lean and Agile principles.
Immutable Infrastructures: Orchestration, Serverless, and More
What's next in infrastructure. How cloud function like lambda are making their way into production.
Innovations in Fintech
Technology, tools and techniques supporting modern financial services
Java - Propelling the Ecosystem Forward
Lessons from 8, prepping for 9, and peeking ahead at 10. Innovators in Java.
Machine Learning 2.0
Machine Learning 2.0, Deep Learning & Deep Learning Datasets
Microservices: Patterns & Practices
Practical experiences and lessons with Microservices
Modern Clientside Apps
Reactive, cross platform, progressive - webapp tech today
Modern CS in the Real World
Applied, practical, & real-world dive into industry adoption of modern CS
Next Gen APIs
Tooling, techniques, & practices building APIs today
Maximizing your impact as an engineer, as a leader, and as a person
Stream Processing at Large
Rapidly moving data at scale.