Show Notes
In the latest episode of GraphQL Radio, we take you behind the curtain with platform architect Charles Brown from Formidable to discuss how Formidable and Stellate joined forces to solve massive volume problems for PUMA while reducing operation costs by 30%+. This is the first of many in our new Build in Public Series. The wide-ranging discussion is led by Stellate's very own Andreas Heiberg, Engineering Manager, and supported by Jovi De Croock, Staff Software Engineer.
Charles Brown is a full-stack engineer and platform architect with a broad range of experience leading large and small teams. He has spent the last 15 years working with both startups and enterprises, designing and building next-generation software and cloud infrastructure. He is a certified AWS Architect and has consistently delivered secure, stable, and highly available cloud infrastructure for numerous clients.
Charlie's previous work includes building solutions ranging from thermal image mapping for the manufacturing industry, processing IoT data at scale in the cloud, and rebuilding health and financial services platforms from the ground up. Charlie is also a strong advocate of DevOps and has consulted with dozens of enterprises to help them smoothly make the transition from traditional ops to a more agile development cycle.
Topics discussed include:
Links
Stellate
Formidable
Charles Brown
Andreas Heiberg
Jovi De Croock
One Edge Provider - Build In Public With The Stellate Team Behind OEP
Alessandro Volpicella | Engineering Lead at Hashnode | GraphQL At Hashnode | AWS | Vercel | Developer Blogging | Creating Content | Getting Into Tech | Apprenticeship | Studying Computer Science | Dat
Miles Bardon | Senior Software Engineer @ The LEGO Group | GraphQL @ LEGO | Domains | Team Size | The Guild | Daunting Tasks | In-Store Experiences | Passion For LEGO | Challenges | The Guild | GraphQ
“Cache Like I’m 5” - Build In Public With The Stellate Team Behind CLI5
Luke Millar | VP of Engineering at Medium | Small Medium Team | Changes @ Medium | Employee Retention | Team Building | Halving Amazon Costs | Technical Improvements | Engineering Ladders | Experience
Dylan Valade | Clip | PUMA’s Tech Stack | Attracting Developers | Ideal Stack | TypeScript | Comfortability & Speed | Iterating Faster | GraphQL at PUMA | Frontend Iterations | Salesforce | Bleeding
Dylan Valade | Clip | Milliseconds Make Millions | E-Commerce Performance | Web Vitals | Shifting Measurement Landscape | Highest Value Sessions | Wasted Investments | Various Metrics | Idea To Produc
Dylan Valade | Clip | Joining PUMA | Worldwide Problem Solving | GraphQL Challenges | Ecosystem Of Partners | Front-End Iterations | PUMA’s Scale | Traffic Spikes | Leadership Buy-In | Tech For Tech
Dylan Valade, Head of Global E-Commerce Technology at PUMA , on PUMA Legacy Systems; Moving Faster; Simplifying Complexity; Frontend Iterations; PUMA’s Scale; Transforming PUMA’s Tech; Leadership
Abhi Aiyer | Clip #05 | Big Static Websites | Gatsby DSG | Unexpected Challenges | Gatsby’s Versatility | Designing Interactions Carefully | Footgun Balance | Upcoming Gatsby Improvements | GraphQL
Abhi Aiyer | Clip #04 | Apollo Federation Dominance | Gatsby Data Layer | Gatsby Influences | Gatsbyverse | Gatsby’s Future Plans | Gatsby SSR | Reducing JAM-tax | Beyond React
Abhi Aiyer | Clip #03 | Early GraphQL Era | MeteorJS Days | Apollo | Spectrum | Before Schema Stitching | Federation Experiments
Abhi Aiyer | Clip #02 | Jumping Into Engineering | What Is AngularJS? | Initial Milestones | Hiring Culture Fits | Senior Role Models | Aiming To Be Useful | Learning From Patterns | Having A Chip | G
Abhi Aiyer | Clip #01 | Math And Economics | Getting Into Coding | Hustling Without Experience | Finding A Mentor | Getting Opportunities | Impostor Syndrome | Having No CS Degree | Grit And Effort
Abhi Aiyer from Gatsby on Getting into Coding, Finding Mentors, Jumping into Engineering, Impostor Syndrome, Gatsbyverse, Aiming to be Useful, Soft Skills, Early GraphQL Era, Federation Experiments, R
Marc-André Giroux | Clip #06 | DataLoader Pattern Reflections | SQL Autogeneration | Graphcool | Hasura | Modern Databases | Software Principles | Hard Problems | Lessons Learned | Big Company Colla
Marc-André Giroux | Clip #05 | Latency | Observable Solutions | p95 & p99 Responses | Surprising GraphQL Requests | Relay | p50 | Observability @Netflix | Tracing Shortcut | Resolver Observability |
Marc-André Giroux | Clip #04 | The Big Error Conversation | Throwing Errors | Relay Pagination | Battle Tested Error Handling | GitHub API | Error Types | Anticipating Errors | Union Pattern | Array
Marc-André Giroux | Clip #03 | GraphQL @Netflix | Massive Scale | Designing Schemas | Public API Designs | Schema Patterns | Internal API Secret Sauces
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