Technical Specifications

Complete technical requirements, supported platforms, and verified performance metrics

Platform Requirements

Linux (Full Features)

Kernel Requirements:

  • Kernel 4.14+ (eBPF support)
  • BTF support recommended (5.4+)

Architectures:

  • • x86_64 (AMD64)
  • • ARM64 (aarch64)

All Features Available:

  • ✅ eBPF monitoring
  • ✅ Zero instrumentation
  • ✅ Kernel-level visibility
  • ✅ Auto-discovery

Windows (Limited)

OS Requirements:

  • Windows 10 / Server 2016+
  • x86_64 architecture

Available Features:

  • ✅ System metrics (WMI-based)
  • ✅ Process monitoring
  • ✅ Log collection
  • ❌ eBPF features (Linux only)

Note: eBPF-based zero instrumentation requires Linux

macOS (Limited)

OS Requirements:

  • macOS 10.15+ (Catalina)
  • Intel & Apple Silicon

Available Features:

  • ✅ System metrics
  • ✅ Process monitoring
  • ✅ Log collection
  • ❌ eBPF features (Linux only)

System Requirements

CPU

Minimum: 2 cores
Recommended: 4+ cores
Overhead: <5% usage

Memory

Minimum: 2GB RAM
Recommended: 4GB+ RAM
Agent: ~256MB typical

Storage

Install: 500MB
Buffer: 1GB+ recommended
Logs: Variable

Network

Protocol: HTTPS
Port: 443 outbound
Bandwidth: Minimal

Verified Performance Metrics

Processing Performance

  • Event Processing: 100K+ events/second per node
  • End-to-End Latency: <100ms
  • Data Compression: ZSTD, LZ4, Gzip adaptive

Resource Usage

  • CPU Overhead: <5% with all collectors
  • Memory Usage: ~256MB typical
  • Network Bandwidth: Minimal with compression

Supported Technologies

Databases

  • Oracle Database
  • MySQL, PostgreSQL
  • MongoDB, Redis
  • SQL Server, ClickHouse
  • Elasticsearch, Cassandra, InfluxDB

11+ databases with wire protocol analysis, no agents needed

Languages

All languages supported via kernel-level monitoring:

  • Java, Python, Go
  • Node.js, Ruby, PHP
  • C/C++, Rust, .NET
  • Any other language

No SDK or code changes required

Platforms

  • Kubernetes
  • Docker
  • Bare Metal
  • Virtual Machines

Auto-discovery of 35+ service types including web servers, message queues, search engines

AI & ML Capabilities

Anomaly Detection

  • • Isolation Forest algorithms
  • • Statistical analysis (Z-score, MAD)
  • • Time series anomaly detection
  • • 85%+ accuracy in threat detection

Predictive Analytics

  • • Failure prediction (30 min advance)
  • • Capacity planning & forecasting
  • • Performance degradation alerts
  • • Adaptive baseline learning

Security & Compliance

MITRE ATT&CK

Framework integration

SOC 2

Type II ready

GDPR

Compliant

Audit Logs

7-year retention

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