Tracer Cloud

Tracer.cloud Inc. is an advanced observability platform engineered specifically for high-performance computing (HPC) systems within regulated industries. The company's core mission is to revolutionize how scientists and engineers leverage HPC by making observability seamless, insightful, and transformative. Tracer empowers innovation by providing real-time visibility into complex computational workloads, enabling scientist-engineers to effectively monitor, debug, and optimize intricate pipelines. The platform was born from the founders' direct experience with the frustrations of legacy tools, broken pipelines, and infrastructure bottlenecks that hinder scientific progress. It is designed from the ground up to address the unique demands of research and engineering pipelines, moving beyond the capabilities of generic infrastructure monitoring tools.

Tracer's technology is built on a 'bring-your-own-cloud' principle, ensuring that all client data remains securely within their own environment, a critical feature for industries with stringent data privacy and security requirements like those adhering to GDPR and HIPAA standards. The platform integrates with a single line of code and operates at the kernel level, utilizing cutting-edge technologies like eBPF and Rust to extract rich, system-level data with minimal overhead. This approach allows Tracer to gather unprecedented information, even from tools with non-descriptive or non-standard logging. It supports a wide array of computational biology frameworks and tools written in Python, R, or bash, and works with common workflow managers and schedulers such as Nextflow, AWS Batch, and Slurm. By transforming this deep system data into actionable insights, Tracer helps organizations optimize resource usage, reduce costs, accelerate research, and ultimately, power the next generation of scientific breakthroughs.