Macro shot of high-density server racks with blinking neon cyan status lights in a dark Sunnyvale datacenter, technical blue atmosphere, high-contrast
Macro shot of high-density server racks with blinking neon cyan status lights in a dark Sunnyvale datacenter, technical blue atmosphere, high-contrast
Telemetry Engine

High-throughput system diagnostics

Ingest millions of metrics per second with sub-millisecond latency. Apex Diagnostics provides SREs with clean, deterministic telemetry streams directly from physical and virtual device arrays.

Core Capabilities

Engineered for absolute reliability

Our platform processes massive telemetry streams without lagging, filtering the noise to expose real-time system health.

Telemetry streams

Anomaly thresholds

Predictive forecasting

Ingest millions of data points per second with zero-lag processing across all virtual and physical device arrays.

Isolate true system deviations instantly using deterministic models that eliminate false alerts and static.

Anticipate infrastructure degradation before catastrophic failures impact end-users, backed by Sunnyvale-engineered algorithms.

Supported Platforms

Infrastructure Integrations

Deploy across any environment

Kubernetes Operator • Bare-Metal Linux • AWS EC2 & EKS • Google Cloud GKE • Azure Kubernetes Service

Apex integrates with Kubernetes, bare-metal hardware, and major cloud providers. Deploy our lightweight collector agent to begin ingesting high-fidelity telemetry streams in minutes.

5 min

Average setup time

Platform Modules

Targeted diagnostic capabilities

Deploy specialized telemetry modules engineered to isolate specific infrastructure failure modes across your entire array.

Anomaly Detection

Device Insights

Predictive Forecasting

Isolate sub-millisecond threshold deviations and filter out background telemetry noise instantly.

Track physical and virtual device telemetry with high-density visual diagnostics and status mapping.

Prevent catastrophic infrastructure failures using deterministic forecasting models and trend analysis.