featured in #173
featured in #169
Building The DataDog Platform For Processing Timeseries Data At Massive Scale
- Vadim Semenov tl;dr: Podcast interview with Vadim Semenov discussing "the systems that DataDog has built to power their business, and how their teams are organized to allow for rapid growth and massive scale."featured in #167
Speed At Scale - What's New In Web Performance?
- Katie Hempenius Addy Osmani tl;dr: (1) Lighthouse supports Performance Budgeting (2) Native image and iframe lazy-loading comes to the web (3) Google Fonts now supports font-display as a query parameter.featured in #143
featured in #139
How Is Software Developed At Amazon?
- Todd Hoff tl;dr: Fireside chat with Ken Exner, GM at AWS Dev Tools. The article summarizes it more extensively than I will. Key ideas are: Create more autonomy and higher velocity by moving away from monolithic architecture towards microservices and two pizza teams 🍕🍕 Automate everything Culture of ownership and accountability. Two pizza teams own everything relevant to their product. They acts like startups, managers oversee startups Are the short summaries (tl;dr sections) helpful? Please vote herefeatured in #131
Lessons Learned Scaling PostgreSQL Database To 1.2bn Records/Month
- Gajus Kuizinasfeatured in #127
Keyframes: Delivering Scalable, High Quality Animations To Mobile Clients
- Mark Pengfeatured in #105.1