Emiliano Bonilla

Arya Core is a high-performance time-series engine I created capable of writing 30 million samples per second on commodity hardware. It is built using Go, Minio, and gRPC. It runs as a set of homogeneous nodes that join together to form a cluster. Each node can read data from and send commands to data acquisition hardware, persist telemetry to storage, and distribute it to other nodes. The cluster exposes itself as a single data space, allowing users to query telemetry from anywhere in the cluster by connecting to a single node. Through this connection, a client can process real-time telemetry streams, perform closed-loop control, and query large quantities of historical data efficiently.

Developed a Redux state synchronization and declarative window management library for Electron apps. Allows users to maintain a single source of truth across multiple Node.js processes and fork new processes with ease.

Built an asynchronous, high throughput key value store for time series data. Caesium is embeddable into any Go program, and includes a concurrency friendly API for transferring large volumes of device data across a network.