Enterprise Observability

Enterprise Observability provides the deep context that explains why a security event occurred and what it
affected. Using vendor-neutral Open Telemetry instrumentation and a scalable server-side telemetry
pipeline, the module unifies metrics, logs, and distributed traces from every service and host into a single
telemetry store, then correlates that operational context with security findings. It also hosts the platform
visualisation workspace and the natural-language query interface that make the whole ecosystem accessible.
By standardising on OpenTelemetry, the module avoids lock-in to any single vendor format and captures all
three primary telemetry signals through one open protocol. Applications and infrastructure are instrumented
once and export everywhere, while the pipeline receives, routes, processes, and enriches each signal before
storage, generating distributed traces and service maps along the way.

Telemetry Pipeline and Signal Handling

Instrumented services export over OTLP to a server-side pipeline that separates and processes the three signal types. Traces are assembled from spans and used to build service maps and latency views. Logs are parsed, enriched, and linked to their originating traces. Metrics are aggregated for trend and anomaly analysis. Because all three are stored together and cross-referenced, the platform can answer not just what happened in security terms, but where in the application and infrastructure it happened and what it touched.

Key Features

OpenTelemetry SDK instrumentation

Vendor-neutral, standards-based automatic and manual instrumentation captures metrics, logs, and traces from applications and infrastructure without proprietary lock-in.

Distributed tracing

End-to-end request paths are reconstructed from parent and child spans, each carrying duration, status, and attributes, so a security event inherits the full performance and dependency context in which it occurred.

Service map generation

The pipeline derives a live map of service-to-service dependencies and latencies, exposing the blast radius of an incident at a glance.

Alerting and service-level monitoring.

An integrated language-model interface translates dense technical telemetry into sourced, executive-level summaries on demand.

Natural-language querying

Thresholds, anomaly alerts, and service-level objectives can be defined over the same telemetry, so reliability and security signals are managed together.

Unified OTLP ingestion

A single pipeline endpoint receives all three telemetry signals over the OpenTelemetry Protocol, routing each signal type for processing and enrichment before storage.

Trace, log, and metric correlation

Logs carry trace and span identifiers, allowing an analyst to pivot from a metric spike to the exact trace and the exact log line behind it.

Single pane of glass

A high-performance visualisation workspace consolidates security findings, observability signals, and asset context into one analyst view.

Metrics analytics

Counters, gauges, and histograms are aggregated over time for capacity, reliability, and anomaly analysis alongside security signals.

Benefits

Eliminated blind spots

Gaps between the application, network, and host layers are closed with one common source of truth.

Higher analyst efficiency

The unified workspace has driven an approximate 60 percent increase in analyst efficiency through reduced context-switching and shorter triage timelines.

Direct executive insight

Natural-language reporting lets leadership interrogate the security posture directly, replacing hours of manual compilation with on-demand answers.

No vendor lock-in

Standardising on OpenTelemetry means applications are instrumented once and export everywhere.

SecOps and reliability, together

Reliability and security signals are managed over the same telemetry, so one team can reason about both.

Use Cases

Incident context and blast-radius analysis

Trace a security event to the exact service, request, and dependency it affected.

Unified SecOps and reliability

Let one team reason about both risk and service health from the same telemetry.

Executive reporting

Produce sourced, plain-language summaries of posture and activity on demand.

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FAQs

1. What does Enterprise Observability do?

It provides extended detection and response across endpoints, networks, and cloud workloads.

2. Why does it use OpenTelemetry?

XDR detects and responds in real time; SIEMs mainly collect and analyze logs.

3. How does Amygdala detect threats?

Using behavioral analytics, threat intelligence, and machine learning.

4. What are the three telemetry signals?

Yes, it can isolate endpoints and trigger SOAR playbooks.

5. How does it help investigations?

Logs from firewalls, endpoints, cloud apps, servers, and third-party systems.

6.What is natural-language querying?

Amygdala XDR can be deployed in both environments.

7.Does it cover reliability as well as security?

With lightweight agents and native integrations.

Enterprise Observability