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Network & Infrastructure Observability

The Anosys Platform provides full-stack observability for network infrastructure, IoT fleets, distributed systems, and any connected endpoint. Ingest telemetry at massive scale from routers, switches, sensors, edge devices, and custom applications — then use built-in analytics, agentic AI interfaces, and real-time alerting to keep your infrastructure healthy.

Why Anosys for Network Observability

Traditional network monitoring tools force you into rigid schemas and predefined dashboards. Anosys is different — it accepts any data, from any endpoint, at any volume, and gives you the flexibility to analyze it however you need.

Capability What It Means for You
Universal data ingestion Accept metrics, logs, and traces from any device or protocol — SNMP, syslog, OTLP, REST, or custom formats
High-throughput ingestion Handle millions of data points per second from large-scale deployments without sampling or data loss
Automatic analysis Built-in ML models detect anomalies, baseline deviations, and trend shifts without manual rule configuration
Agentic interfaces AI-powered assistants help you build dashboards, create alerts, and investigate incidents through natural language
Real-time alerting Get notified in Slack, email, or webhooks within seconds of an anomaly being detected
Custom everything Build your own dashboards, data pipelines, detection rules, and KPIs — or let the platform generate them for you

What You Can Monitor

Anosys ingests data from any source that can make an HTTP call or export OpenTelemetry signals. Common network and infrastructure use cases include:

Network Devices

  • Routers & switches — interface utilization, packet loss, error rates, BGP session state
  • Firewalls & load balancers — connection counts, throughput, rule hit rates, SSL/TLS handshake latency
  • DNS & DHCP — query latency, resolution failures, lease utilization

IoT & Edge Devices

  • Sensors — temperature, humidity, pressure, voltage, and custom measurements
  • Edge gateways — uplink health, message queue depth, processing latency
  • Fleet telemetry — device heartbeats, firmware versions, connectivity status across thousands of endpoints

Servers & Containers

  • Compute — CPU, memory, disk I/O, and network throughput
  • Containers & orchestration — pod health, restart counts, resource limits, scheduling latency
  • Application services — request rates, error rates, p50/p95/p99 latency

Custom Data Streams

  • Proprietary protocols — wrap any binary or text protocol in an HTTP call to the Anosys REST API
  • Batch exports — import historical data from BigQuery, AWS S3, or GCP Pub/Sub for retroactive analysis
  • Hybrid sources — combine network telemetry with business metrics (SLA compliance, customer impact scores) in a single view

How Data Gets into Anosys

Choose the ingestion method that fits your infrastructure:

Method Best For Details
OpenTelemetry (OTLP) OTEL-instrumented services and collectors Setup guide
REST API Custom scripts, cron jobs, and lightweight agents Setup guide
Image Pixels Web traffic and email tracking Setup guide
JavaScript Browser-based monitoring and RUM Setup guide
Bulk Ingestion BigQuery, AWS, and GCP Pub/Sub connectors Contact us for setup

For most network use cases, we recommend using the REST API for custom device agents or the OpenTelemetry Collector as a central aggregation point.

OpenTelemetry Collector as a gateway

Deploy an OpenTelemetry Collector on your network to aggregate data from SNMP, syslog, and custom exporters, then forward everything to Anosys via OTLP. This gives you a single, standardized pipeline for all your infrastructure telemetry.

Automatic Analysis & Anomaly Detection

Once data is flowing, Anosys automatically baselines your metrics and begins detecting anomalies — no manual threshold configuration required.

  • Statistical baselines — the platform learns normal patterns for each metric (hourly, daily, weekly seasonality) and flags deviations
  • ML-driven detection — identify complex anomalies like gradual degradation, correlated failures, and intermittent issues that static thresholds miss
  • Root cause correlation — when multiple metrics spike simultaneously, Anosys groups them and surfaces the likely root cause
  • Error detection — automatic error classification and structured error tracking across all signals — network errors, protocol failures, and service exceptions

You can also define your own custom detection rules and business-specific thresholds through the platform UI or pipeline framework.

Dashboards & Visualization

Build dashboards tailored to your network topology and operational needs:

  • Automated metric generation — Anosys automatically generates key metrics from your data so you get dashboards in minutes, not days
  • Auto-generated dashboards — use the agentic AI interface to describe what you want to see, and Anosys generates a dashboard for you
  • Custom dashboards — build your own from scratch with time-series charts, histograms, tables, gauges, heat maps, and more
  • Real-time updates — dashboards refresh automatically as new data arrives
  • Drill-down — click on any metric to explore individual data points, traces, and correlated events
  • Labeling — tag and annotate devices, regions, or teams with custom labels for segmentation and drill-down analysis

Alerting & Notifications

Stay ahead of problems with real-time alerts:

  • Slack integration — get anomaly notifications delivered directly to your team's Slack channels
  • Email alerts — receive alert summaries on a schedule or instantly for critical events
  • Custom thresholds — define static or dynamic thresholds for any metric
  • Alert grouping — reduce noise by grouping related alerts into a single incident

Custom Data Pipelines

For complex network environments, build custom data pipelines that transform, enrich, and route your telemetry:

  • Enrich — augment raw metrics with device metadata, geographic location, or customer IDs
  • Transform — aggregate high-frequency data into rollups, compute derived metrics, or normalize units
  • Route — send processed data to dashboards, alerting rules, or external systems
  • Schedule — run pipelines in real time or on a batch schedule (minute, hourly, daily)

Getting Started with Network Observability

  1. Create a pixel in the Anosys Console — choose API or OpenTelemetry as the integration type.
  2. Point your devices at the Anosys ingestion endpoint using the REST API or OTEL Collector.
  3. Explore your data — dashboards begin populating within seconds of the first data point arriving.
  4. Set up alerts — configure Slack or email notifications for the metrics that matter most.

For detailed ingestion setup, see Data Ingestion Options.

Next Steps