Why Edge Delta?

Edge Delta simplifies observability and security pipelines, helping you control, enrich, and route telemetry data with less overhead and faster insights.

  2 minute read  

Platform

Edge Delta is a telemetry pipeline platform built to simplify how teams manage observability and security data across modern environments. It ingests, processes, and routes logs, metrics, traces, and other signals from across your systems, giving you fine-grained control over what data is captured, how it’s shaped, and where it goes.

This architecture enables earlier insights, less noise, and lower costs by minimizing unnecessary ingestion and processing. Edge Delta integrates seamlessly with existing toolchains, making it easier to adapt and scale your observability strategy.

Capabilities

Telemetry Pipelines

Edge Delta pipelines allow you to reshape, enrich, and control telemetry data at any layer of your stack. You can define rules to filter, redact, normalize, and route signals to one or more destinations in real time, without managing complex infrastructure or brittle scripts.

Security Data Management

Security-relevant telemetry can be enriched and inspected immediately at collection. This reduces load on downstream SIEMs and enables earlier detection of threats without compromising visibility.

Log Intelligence

Logs are parsed, filtered, and enriched before they travel. With built-in search and indexing, you can retain only the logs you need, without sacrificing auditability or traceability.

Metrics and Traces

Edge Delta supports time-series metrics and trace data alongside logs. You can aggregate, suppress, or reshape high-cardinality series, improving performance and reducing cost in backend systems.

Anomaly Detection and Guidance

Anomaly detection is integrated into every pipeline. With OnCall AI, Edge Delta offers contextual analysis and suggested responses, helping operators troubleshoot faster and act on high-signal events.

Applications

  • Observability Optimization: Reduce the cost and volume of data ingested by downstream platforms by controlling what is captured and forwarded.
  • Data Tiering and Routing: Send different classes of data to different tools based on use case, retention policy, or sensitivity.
  • Schema Normalization: Standardize and enrich data in flight using formats like OpenTelemetry and custom rules.
  • Kubernetes Monitoring: Capture logs, events, and metrics at the node or pod level to reduce noise and improve cluster visibility.
  • Vendor Flexibility: Forward data to any supported destination to avoid tool lock-in or dependency creep.

Sources

Edge Delta ingests telemetry from a wide range of sources, including:

  • Hosts: Linux, Windows, containers
  • Kubernetes: Logs, events, metrics, traces
  • Cloud platforms: AWS, GCP, Azure
  • Streaming systems: Kafka, Pub/Sub
  • Security platforms: CrowdStrike FDR
  • Protocols: OTLP, Prometheus, Fluentd

Destinations

Edge Delta routes telemetry to virtually any observability or security backend:

  • Cloud: AWS, Azure, GCP
  • SIEM: QRadar, Sentinel, Falcon LogScale
  • Observability: Datadog, New Relic, Dynatrace, Elastic
  • Storage: S3, Blob, MinIO, GCS
  • Collaboration: Slack, Teams, Webhooks
  • Edge/local: Kafka, Fluentd, files