In early 2014, I joined as an engineering manager for Uber’s Infrastructure team. We were responsible for a wide number of things, including provisioning new services. While the overall team I led grew significantly over time, the subset working on service provisioning never grew beyond four engineers. Those four engineers successfully migrated 1,000+ services onto a new, future-proofed service platform. More importantly, they did it while absorbing the majority, although certainly not the ...| lethain.com
In Jim Collins’ Great by Choice, he develops the concept of Fire Bullets, Then Cannonballs. His premise is that you should cheaply test new ideas before fully committing to them. Your organization can only afford firing a small number of cannonballs, but it can bankroll far more bullets. Why not use bullets to derisk your cannonballs’ trajectories? This chapter presents a series of concrete techniques that I have personally used to effectively refine strategies before reaching the cannonb...| lethain.com
In How should you adopt LLMs?, we explore how a theoretical ride sharing company, Theoretical Ride Sharing, should adopt Large Language Models (LLMs). Part of that strategy’s diagnosis depends on understanding the expected evolution of the LLM ecosystem, which we’ve build a Wardley map to better explore. This map of the LLM space is interested in how product companies should address the proliferation of model providers such as Anthropic, Google and OpenAI, as well as the proliferation of ...| lethain.com
Gitlab is an integrated developer productivity, infrastructure operations, and security platform. This Wardley map explores the evolution of Gitlab’s users’ needs, as one component in understanding the company’s strategy. In particular, we look at how Gitlab’s strategy of a bundled, all-in-one platform anchors on the belief that build and security tooling is moving from customization to commodity. Reading this document To quickly understand the analysis within this Wardley Map, read f...| lethain.com