Monitor everything.
Pay attention only to what matters.

Sightlines provides Systems Insights-as-a-Service: unobstructed visibility down from the hardware, across multiple layers of your software stack, mapped back to the business metrics you actually care about.

Sightlines allows you to lean on the deep domain expertise and decades of operational experience of our world-class team combined with the power and flexibility of modern AI: we collect the data, analyze it to find the signal amongst the noise, and give you actionable reports.

01 · Instrument

Rezolus: High-resolution telemetry

Rezolus deploys directly into your production environment and captures what traditional observability misses: CPU, GPU, network, and disk metrics, kernel scheduler and syscall latencies, TCP internals, and much more across the system as well as for individual containers at sub-second resolution.

The result is 100× the resolution and coverage with under 1% overhead at a fraction of the cost.

02 · Analyze

SystemsLab: The analytics engine

SystemsLab is the control plane and analytics engine that tracks systems under observation and running experiments. It gathers data from multiple sources and systems, correlating application metrics and KPIs with the relevant host behaviour.

Consolidating metrics results in a single place to compare runs, search for anomalies and regressions, and spot optimization opportunities.

03 · Advise

Insights: AI-infused bespoke advice

Insights is an LLM-mediated, meet-you-where-you-are interface customized to your workload and workflows. Seeded with skills and insights from experts at building and operating datacenter-scale systems, it is automated by AI to answer the specific questions most relevant to your deployment.

You get accurate and actionable insights rather than having to squint at CLI logs and Grafana dashboards.

Results

Tail latency spikes resolved

A p99 regression traced to lock contention caused by an IRQ affinity misconfiguration — invisible to application metrics. Resolved in days, not quarters.

Regressions caught before production

Comprehensive workload coverage in pre-release testing integrated into existing development workflows catches regressions before they ship.

I/O patterns optimized

Syscall telemetry revealed additional unnecessary read syscalls to verify socket buffers were empty after polling, reducing the effective throughput of the system.

What customers say

“IOP Systems created the ability to understand how to optimize for what matters most — p99 latency — while improving overall cost and resource utilization. We collaborated on a Kafka workload analysis, identifying upgrade opportunities, TCO benefits, and bottlenecks. The ability to visualize and make data-based decisions is a big step up from what we accomplish on our own.”
— Kelly Hammond, Sr. Director, Intel Corporation

“Rezolus tracks critical metrics we didn’t know we needed until we hit production issues. These metrics have meaningfully accelerated diagnostics and helped us optimize our stack at peak load.”
— Khawaja Shams, CEO, Momento