The overhauled backend addresses future sustained workloads where continuous integration systems face massive read fan-out from nonstop automated commits. By restricting synchronization solely to reference updates, multiple distributed writer nodes can accept changes concurrently without cross-node contention. Internal testing validated that the platform can absorb thousands of simultaneous agent pushes on a single project while sustaining low read latency.
Key points
The storage system targets vertical scale to accommodate thousands of automated agents pu…: The storage system targets vertical scale to accommodate thousands of automated agents pushing to the same repository simultaneously.
Decoupling compute from storage allows multiple writer nodes to distribute intensive task…: Decoupling compute from storage allows multiple writer nodes to distribute intensive tasks and minimize commit latency.
Future continuous development workloads are projected to produce round-the-clock write tr…: Future continuous development workloads are projected to produce round-the-clock write traffic that drastically exceeds traditional human burst patterns.
Sources checked by our analysis pipeline: 1
Inside GitHub’s new Git storage architecture
GitHub’s new Git storage architecture is built so thousands of agents can push to a single repository at once. Here’s how it works.
Last week at GitHub Universe, we announced our new Git storage architecture, capable of handling thousands of writes per second with reads that scale on demand. Through internal testing, we’ve demonstrated the ability to support 5,000 concurrent agents working on a repository, sending 7,200 pushes per second to a repo, all while serving read traffic with consistently low latency. This new architecture is the foundation for GitHub to support agentic development for hundreds of millions of developers, and we’ve been building it underneath GitHub while it keeps running.
Over the past year, agents changed what a busy repository looks like on GitHub. In our first post in this series, we laid out the two principles behind our next-generation Git storage architecture: minimize coordination, and decouple storage from compute. In our last post, we covered the bridge: moving 99.99999% of repositories into Azure, scoping the write quorum to individual references, and standing…
Originally spun out from Uber's acquisition of Postmates, the publicly traded robotics company is commercially releasing its proprietary data tools and connectivity architecture to external developers. This strategic pivot mirrors Amazon's cloud infrastructure strategy, enabling third parties to offload heavy onboard computing and improve how automated machines operate in complex human environments.
Autonomous mobility operations are slated for a regional capacity boost as service coverage scales up for local passengers. The fleet adjustments will enhance ride-hailing availability across the metropolitan area through targeted partner integration. This timeline reflects ongoing efforts to meet projected operational targets by the close of the calendar year.
Developers can now orchestrate one-time or recurring tasks across production, preview, and custom environments as Vercel introduces its successor to traditional Cron Jobs. The updated tool provides deeper integration with backend architectures by targeting private functions, HTTP paths, and queue topics directly. It also enables teams to manage or trigger executions on demand without having to initiate project redeployments.