A. Jesse Jiryu Davis is a Senior Staff Research Engineer at MongoDB specializing in distributed systems, Python concurrency, and serverless architecture. He contributes to MongoDB drivers, async frameworks, and writes on software design and open source projects.
55 articles from this blog
A developer shares a personal productivity hack: using a browser bookmarks folder to aggregate and manage all their online feeds and sites.
A developer details their technical setup for displaying math and images across a blog, Atom feed, and email using Hugo and custom templates.
Explores the 'coordinated attack' problem in distributed systems, linking it to the impossibility of achieving common knowledge in asynchronous environments.
Explores the concepts of knowledge and common knowledge in distributed systems, starting with the classic muddy children puzzle.
Using a SAT solver and Python to automate the complex scheduling of student-teacher interviews at a Zen meditation retreat.
A personal journey from aspiring dancer to Python programmer and eventually a distributed systems researcher, detailing career transitions and technical growth.
A developer automates and deduplicates Google Scholar email alerts using a custom Google Apps Script to manage research papers efficiently.
Explores the reliability of timers in distributed algorithms like Raft, arguing they are viable with safety margins for mechanisms like leader leases.
MongoDB engineers explain how they test their distributed system implementations against formal TLA+ specifications to ensure correctness.
A retrospective on MongoDB's partnership with NYC public schools to teach computer science, examining the challenges and partial successes of the program.
MongoDB's initiative to support computer science education in NYC public schools through teacher fellowships and curriculum development.
A MongoDB engineer shares notes from the Antithesis BugBash conference, focusing on software correctness, autonomous testing, and related talks.
Explores extending TLA+ for performance modeling using queueing theory and simulation, moving beyond just correctness verification.
Summary of talks from the 2025 TLA+ Community Event, focusing on formal methods and model-guided fuzzing for distributed systems.
Explores how long to run deterministic and non-deterministic tests to find bugs, analyzing fuzzing efficiency and exponential cost models.
A review of SwiftPaxos, a new Paxos variant designed for fast, geo-replicated state machines in high-latency networks.
An experiment by MongoDB to predict customer demand and auto-scale database resources in MongoDB Atlas, aiming to reduce costs and carbon emissions.
Announcement for a NYC Systems tech talk on predictive auto-scaling in MongoDB Atlas and instrumentation of compiled code.
A review of Amazon MemoryDB, a Redis-compatible cloud database service from AWS, focusing on its architecture and durability improvements.
A personal reflection on the state of women in tech, questioning the impact of diversity initiatives and exploring what truly drives inclusion.
