Central monitoring and DevOps platform for research infrastructure. Real-time visibility across distributed services.

Our Mission

JARVIS was built to solve a fundamental challenge: unified observability across distributed research infrastructure without the latency and overhead of traditional HTTP-based monitoring.

We've developed a platform that combines TCP protobuf metrics collection with multi-database time-series analytics, delivering sub-second visibility across complex service architectures.

Our goal is to provide operational clarity—real-time insight into system health, performance, and anomalies—enabling teams to focus on innovation rather than troubleshooting.

<100ms

Ingestion Latency

10K+

Metrics/Second

22

Services Monitored

100x

Query Speedup

Platform Principles

Real-Time First

TCP protobuf collection eliminates HTTP overhead. Sub-100ms latency means you see issues as they happen, not minutes later.

Purpose-Built Storage

Multi-database architecture with PostgreSQL, TimescaleDB, and Redis—each optimized for its specific workload.

Self-Monitoring

JARVIS monitors itself through the same pipeline. Platform health metrics collected continuously. True operational clarity.

Built for Scale

JARVIS handles 10,000+ metrics per second with zero data loss. Continuous aggregation provides 100x query speedup for historical analysis. 150+ REST endpoints power integrations across the ecosystem.

From individual service monitoring to cross-project correlation, JARVIS provides the observability foundation for research infrastructure at any scale.

Ready to Monitor Your Infrastructure?

Deploy JARVIS to gain real-time visibility into your entire ecosystem. One-time enterprise license, perpetual access, no recurring fees.

FAQ

Explore our FAQs for fast, informative answers to frequently asked questions and common concerns.

Most teams have monitoring deployed within 15 minutes using our quick-start guide and pre-built integrations. Enterprise deployments with custom configurations typically take 1-2 days.

faq

Can't see your question listed above? Visit our Help Center