XConf North America 2022
who it's for
software architects, platform engineers, engineering managers, tech leads, frontend developers, product managers
topics
Solid personal online data stores; WebID and Web Access Control; JSON-LD and RDF linked data; Thoughtworks Technology Radar practices; discovery with a technical product manager; distributed ledger technologies (Hyperledger, Corda, Radix); service mesh for pipeline testing; API gateway versus service mesh patterns; micro-frontend by page or feature teams; XR world building with Unity and Vuforia; internal infrastructure as a product (self-service, Argo CD); FinOps for sustainability
| title | author | length |
|---|---|---|
| Re-Decentralizing the Web and recapturing our data | Scott Davis, Nimisha Asthagiri | 33m |
Claims that the web can be re-decentralized using Solid and Pods, with personal online data stores holding linked data (JSON‑LD, RDF, RDFa, FOAF) controlled by… | ||
| The Technology Radar: A snapshot of Thoughtworks culture | Perla Villarreal | 17m |
Thoughtworks publishes the Technology Radar and curates it across 11 years as a mirror of company biases and choices, arguing there is no silver bullet (calls… | ||
| How to fix a failed discovery | Britni Jones | 14m |
A single corrective claim: include a product or technical product manager in discovery because without one milestones go wrong. Case evidence: a built… | ||
| Distributed Ledger Technology: Myths & Facts | Amirdha Gopal Rajendran | 15m |
DLT is an umbrella for blockchains, DAGs, Hashgraph, Holochain, Tempo and purpose-built chains like Radix, not just Bitcoin; consensus varies — proof of work… | ||
| You know nothing, tech lead | Wole Solana | 13m |
Argues a tech lead does not have to be the omniscient hero and recounts being unable to define “class” on a first day to make the point. Replaces the myth of… | ||
| Service Mesh is a pipeline’s best friend | Patrick McFadden | 13m |
Argues that a service mesh turns dynamic, injectable proxy configuration into fast, automated pipeline tests rather than code hacks or monthly downtime; shows… | ||
| How a micro-frontend approach works on a large scale web application | Jessica Kazembe | 12m |
Argues that frontends can adopt microservice patterns and gives two concrete mappings: split by page or component teams (header/footer as standalone apps) or… | ||
| API Gateways & Service Mesh: What’s best for us | Wesley Reisz | 38m |
API gateways handle north-south client-to-service traffic and service meshes handle east-west service-to-service traffic, often both implemented with Envoy… | ||
| One beginner’s guide to XR world building | Stephanie Wang | 16m |
Built an AR book with Unity and Vuforia using hand drawings turned into five‑star image targets, Unity Asset Store models, a few lines of C# and export via… | ||
| Applying Product Thinking to internal infrastructure | Punit Lad, Tom Oketch | 36m |
Argues for treating internal infra as a product with three tenets—clarity, customer, currency—and builds a self‑service stack of modular capabilities exposed… | ||
| Making Cross-Functional Requirements (CFRs) a first-class citizen at AvidXchange | Saif Islam, Chuck Kiefriter | 16m |
AvidXchange defines CFRs with 11 categories, 30 subcategories and prioritizes them by product impact, using examples like perishable delivery within four hours… | ||
| What does it mean to create a public utility? | Danielle Leppert-Simenauer | 20m |
SustainChain is a UN‑aligned platform run by the US Coalition on Sustainability (USES) that connects innovators, investors and organizations to accelerate the… | ||
| Influence of Serverless in DDD | Karthik Krishnan | 17m |
Claims that serverless forces deployment to shape DDD models: functions are billed per invocation so pay for utilization drives designs toward fine-grained… | ||
| Digital scale-up architectural patterns | Rickey Zachary | 46m |
Client sees 4,000% user growth and needs quick, pragmatic choices: deliberately accept technical debt by adding features into the monolith or use DB views as a… | ||
| FinOps for sustainability | Mark Richter, Marco Valtas | 40m |
Combines FinOps and GreenOps by pulling AWS GCP and Azure cost and billing into BigQuery and running Cloud Carbon Footprint to estimate emissions, then using… | ||
| nothing matches | ||