Network Labs is the applied research group behind StreamMetrics. We study telemetry at the packet and flow level, model distributed-systems behavior, and build the instrumentation that makes large networks observable.
Our work spans the full path of a request — from the wire, through the kernel, across the mesh, to the dashboard.
Sampling strategies and lossless aggregation for high-rate network flows without overwhelming the collector.
Causal tracing across thousands of services with bounded overhead and accurate clock reconciliation.
Synthetic workload generation and failure simulation for capacity planning and resilience testing.
How engineers actually read dashboards — visual encodings that reduce mean-time-to-insight under pressure.
Tamper-evidence and provenance for metric pipelines, so dashboards can be trusted during incidents.
Lightweight agents for constrained edge nodes that report without degrading the workload they observe.
A sample of papers and technical reports from the lab.
Network Labs operates as the independent research division of StreamMetrics. We publish openly, release tools as open source, and partner with university groups on questions that won’t pay off for years — because the networks we all depend on deserve that kind of attention.
Research collaboration & press: research@network-labs.example