Systems insights
re-engineered for your stack

Get unobstructed visibility from business metrics to hardware, tuned and customized by systems engineers who understand performance holistically and at every layer.

Talk to Our Engineering Team See How We Engage
sightlines / live telemetry [ai slop to be replaced soon]
cpu.utilization 73%
cpu.per_core [10c x 100t] p99 81%
sched.runqueue_latency 42 us
tcp.connect_latency 1.2 ms
syscall.rate 18.3K/s
net.rx_throughput 847 MB/s
rezolus agent / 12 samplers active / 0.4% overhead p99 < 1ms
Who This Is For

For teams that need to move faster without compromising availability or predictability.

Owners of systems where correctness, availability, and SLOs must hold

Teams scaling rapidly with increasing system complexity

Operators working to reduce time to resolution

What We Bring

Purpose-built instrumentation.
Deployed by the engineers who built it.

High-Resolution Telemetry

Rezolus

Lightweight, high-fidelity telemetry deployed directly into your production environment. Captures what traditional observability tooling misses.

Learn more
  • CPU scheduler latency at nanosecond resolution
  • Network stack: TCP retransmits, socket buffer pressure
  • Container-level performance monitoring with zero config
  • Near-zero overhead on production workloads
Cross-Layer Analysis

SystemsLab

Correlate KPIs with system telemetry such as CPU, memory, network, and syscalls to surface root cause, not just symptoms.

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  • Correlate app latency with scheduler contention or memory pressure
  • Automated detection of resource contention patterns
  • Historical comparison across deployments and kernel versions
AI-Assisted Root Cause

Accelerated Diagnosis

Built from a decade of production investigations at Twitter-scale systems. Identifies common failure patterns across the full stack and application domains.

  • Pattern matching against real production incidents
  • Ranked differential diagnosis against a catalog of known failure modes
  • Isolate root cause candidates via correlation analysis
Workload Reproduction

RPC-Perf

High-performance load generation purpose-built for reproducing production traffic patterns.

Learn more
  • Realistic RPC workloads matching production shape
  • Reproduce tail spikes and bimodal distributions
  • A/B testing of config changes under controlled load
How We Engage

From instrumentation to resolution

01

Instrument

Deploy Rezolus into production or pair it with a load generator. Lightweight and non-intrusive, capturing high-frequency, high-fidelity signals across system and kernel activity.

02

Analyze

Collect and index performance telemetry and metadata with SystemsLab, distilling signal into insights using domain knowledge and system context.

03

Advise

Evidence-based root cause analysis and optimization recommendations, matching expert-level output and scaled by AI.

Results

Full-stack sightline, all the time

Lock contention identified, tail latency resolved.

A p99 regression traced to CPU scheduler contention caused by IRQ affinity misconfiguration. Invisible to application metrics. Resolved in days, not quarters.

Triage time reduced from hours to minutes.

Cross-layer correlation replaces manual investigation. Engineers stop guessing which dashboard to check.

Regressions caught before production.

Workload reproduction integrated into CI/CD to catch regressions before production.

telemetry_resolution < 1s
time_to_first_signal < 10s
signal_depth hardware to kpi
overhead < 1%
Pricing

Modular platform. Deploy what you need.

Sightlines is delivered as modular components deployed into your environment. Add support when you need deeper investigation.

Rezolus Runtime

Production-tuned telemetry, integrated into your environment

  • Deployed and tuned for your environment
  • Custom samplers and KPI ingestion extensions
  • Configurable export formats and destinations, including OTel
$10K/month

SystemsLab

Control plane and analytics orchestrator for Rezolus Runtime

  • Orchestrates on-demand telemetry collection and recording
  • Manages post-collection analytics workflows
  • Enables longitudinal analysis and result reuse
$10K/month

Customized rpc-perf

Custom workload reproduction and validation

  • Traffic profiles matching your APIs and production patterns
  • Operated and tuned for your environment
  • SLO-aware stress testing to identify breaking points and real headroom
$10K/month

Deploy individually or combine for full stack visibility.

Built on open source, extended and operated for production environments.

Recommended

Sightlines Full Platform

Includes

Most teams run the full platform in production.

$25K/month
$5K/month discount vs individual components
Get Started

Support

Add support for deeper investigation and faster resolution.

Standard

Deployment guidance, best practices, and async support.

  • Deployment guidance
  • Best practices
  • Async support
Included
Get Started

Performance Support

Active telemetry review and periodic performance analysis with priority response.

  • Active telemetry review
  • Periodic performance analysis
  • Priority response
+$10K/month
Talk to Us
For mission-critical systems

Embedded

Engineers embedded with your team for real-time investigation and resolution.

  • Engineers embedded with your team
  • Up to 50 hours/month of deep dives
  • 1-hour SLA for event response
  • Workload reproduction and validation
  • Root cause analysis and fixes
+$30K/month
Talk to Engineering

Onboarding & Deployment

  • Instrumentation planning and setup
  • Environment integration
  • Initial performance investigation
  • Knowledge transfer

Includes 200 hours of performance engineering.

$120K one-time

Annual plans are prepaid and receive a 10% discount.

Who We Are

Brought to you by engineers that scaled mission critical systems at Twitter

The engineers who were responsible for Twitter's cache services and compute platform, and kept Twitter's infrastructure efficient. Deep expertise in performance engineering, production observability, Linux kernel behavior, and network stack optimization. They built Rezolus, SystemsLab, and RPC-Perf because the available tools could not operate at the depth their work required.

This is the team you would build if you could recruit the best systems engineers from Twitter.

Trusted in production at

Intel Fastly Roblox Momento eBay

What teams found running this in production.

Kafka workload analysis · Intel

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

Used in Momento production

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

Let's look at your production telemetry together.

Better instrumentation. Faster root cause.

Schedule a Technical Assessment Read the Docs