Workshop: Starting Out Right - Building the Right Product
This whole-day workshop explores what is needed to set up product development for success.
All too often we fall into what has been called "the build trap" - the desire to get working quickly means teams are off to the races without actually knowing which horse they're riding on and where it it headed.
This workshop presents a variety of tools and techniques which are available to rapidly align on business value, intended outcomes and coming up with a roadmap for successful product development. Over the day the participants will gain hands-on experience using the tools on real-world scenarios.
Topics covered include:
- Understanding the product goals, how they align with organisation objectives and measurable outcomes
- Crafting the product hypothesis and designing experiments to validate or invalidate it
- Trade-offs and success sliders;
- Value and time, urgency and priority
- Anthropology and personas
- Roadmaps, story maps and backlogs
- Knowing when to stop
Other Workshops:
Tracks
Monday, 11 November
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Software Supply Chain
Life of a software artifact from commit to deployment. Security, observability and provenance of the software supply chain.
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Architectures You've Always Wondered About
Hard-earned lessons from names you know on scalability, reliability, throughput, and performance.
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Languages of Infrastructure
This track explores languages being used to code the infrastructure. Expect practices on toolkits and languages like Cloudformation, Terraform, Python, Go, Rust, Erlang.
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Building & Scaling High-Performing Teams
To have a high-performing team, everybody on it has to feel and act like an owner. Organizational health and psychological safety are foundational underpinnings to support ownership.
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Bare Knuckle Performance
Killing latency and getting the most out of your hardware
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Ethics, Regulation, Risk, and Compliance
With so much uncertainty, how do you bulkhead your organization and technology choices? Learn strategies for dealing with uncertainty.
Tuesday, 12 November
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Microservices Patterns & Practices
What's the last mile for deploying your service? Learn techniques from the world's most innovative shops on managing and operating Microservices at scale.
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Pushing the Web Forward: JavaScript, Frameworks, Transpilers, and WebAssembly
JavaScript is the language of the web. Latest practices for JavaScript development in and how transpilers are affecting the way we work. We’ll also look at the work being done with WebAssembly.
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Practices of DevOps & Lean Thinking
Practical approaches using DevOps and a lean approach to delivering software.
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Modern CS in the Real World
Thoughts pushing software forward, including consensus, CRDT's, formal methods & probabilistic programming.
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Socially Conscious Software
Power of leadership, Engineering Metrics and strategies for shaping the org for velocity.
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Modern Data Architectures
Today’s systems move huge volumes of data. Hear how places like LinkedIn, Facebook, Uber and more built their systems and learn from their mistakes.
Wednesday, 13 November
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Production Readiness: Building Resilient Systems
Making systems resilient involves people and tech. Learn about strategies being used from chaos testing to distributed systems clustering.
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Evolving the JVM
The JVM continues to evolve. We’ll look at how things are evolving. Covering Kotlin, Clojure, Java, OpenJDK, and Graal. Expect polyglot, multi-VM, performance, and more.
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Optimizing Yourself: Human Skills for Individuals
Better teams start with a better self. Learn practical skills for IC.
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Living on the Edge: The World of Edge Compute From Device to Infrastructure Edge
IOT/IIOT, Federated Learning, Application Gateways, Serverless, Kubernetes, WASM/WASI all at the edge? This track explores what’s being done at the modern edge.
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Trust, Safety & Security
Privacy, confidentiality, safety and security: learning from the frontlines.
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Machine Learning for Developers
AI/ML is more approachable than ever. Discover how deep learning and ML is being used in practice. Topics include: TensorFlow, TPUs, Keras, PyTorch & more. No PhD required.