What is Edge Delta?

Telemetry Data Management Platform

Edge Delta is an AI-native telemetry data management platform that enables teams to efficiently manage telemetry data collection, processing, routing, and analysis at enterprise scale. It’s powered by intelligent Telemetry Pipelines, which provide pre-index visibility, flexibility, and control over the data flowing through them. These pipelines can route data from any source to any destination, including Edge Delta’s own Observability Platform.

Edge Delta’s Telemetry Pipelines leverage lightweight, Go-based agents for data collection, pre-index processing, and real-time routing. They allow teams to easily standardize, enrich, and optimize their telemetry data before it’s routed downstream, and provide intelligent processing recommendations to help automatically filter out noise and preserve high-value signals. Edge Delta Pipelines have built-in support for open-source standards like OpenTelemetry and OCSF, enabling teams to automatically normalize data onto predictable schemas for seamless in-pipeline correlation and downstream analysis.

Edge Delta’s Observability Platform is a modern monitoring solution that pairs the traditional search, correlation, dashboarding, and alerting experience for logs, metrics, and traces with an AI-driven approach to troubleshooting and remediation. Edge Delta’s Anomaly Detection automatically surfaces suspicious log behavior and provides intelligent, real-time resolution recommendations to accelerate remediation workflows.

Real-time Log, Metric and Trace Optimization

Edge Delta’s Telemetry Pipelines support all telemetry data types, and enable users to optimize them pre-index for enhanced downstream analysis. They combine low-level and environment wide-visibility, allowing teams to pair source-specific filtering and enrichment rules with holistic processing steps like tail-based sampling or system-wide log aggregations.

Intelligent Processing Recommendations

Edge Delta’s Telemetry Pipelines understand the data flowing through them, automatically analyzing it and providing intelligent recommendations for parsing, masking, filtering, and enrichment. With Edge Delta Live Capture, teams can test out new processing rules locally before pushing changes to production, which helps ensure data accuracy and reliability.

Streamlined Pipeline Construction

Edge Delta’s intuitive interface allows teams to interact with their pipeline YAML configurations graphically, greatly simplifying the pipeline construction and management process. Teams can also reduce configuration time by leveraging pre-built processing packs, which automatically parse, standardize, enrich, and optimize logs from popular sources and in common formats.

Pre-Index Patternization

Edge Delta’s Telemetry Pipelines can intelligently group log data into high-level patterns using a proprietary clustering algorithm — providing teams with detailed log summaries in real time. The Observability Platform can then automatically identify low-value patterns, allowing users to filter them out with the click of a button.

Anomaly Detection and Guidance

Edge Delta’s Anomaly Detection analyzes each log pattern’s behavior, compares it to a pre-calculated baseline, and immediately generates a new anomaly when suspicious behavior is detected. For every anomaly, Edge Delta provides intelligent resolution recommendations through LLM analysis, which helps bootstrap the remediation process.

Security Data Management

Security data can be enriched, masked, and filtered locally to ensure compliance and enhance downstream threat detection and investigation within the SIEM or data lake of your choice.

Scalable Telemetry Monitoring

Edge Delta’s Observability Platform is built on ClickHouse, a high-performance OLAP database that allows us to support blazing-fast query speeds at petabyte scale.

Applications

Telemetry Data Optimization: Reduce the cost and volume of data that gets ingested, indexed, and stored in downstream platforms by intelligently optimizing what is captured and forwarded.

Vendor Neutrality: Collect data from any source and forward it to any destination to avoid tool lock-in or dependency creep.

AI-Native Telemetry Management: Apply AI insights at the pipeline level, and prepare data pre-index for efficient downstream AI workflows.

Dynamic Data Tiering: Automatically adjust sampling rates and data flows in response to real-time signals. Send all raw data to cheap object storage for auditing and compliance — and only send full-fidelity data into expensive platforms during troubleshooting.

Schema Normalization: Standardize data in flight onto open formats like OpenTelemetry and OCSF for improved correlation and downstream analysis.

Kubernetes Monitoring: Capture logs, metrics, traces, and events at the node or pod level to reduce noise and improve cluster visibility.

Sources

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

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

Destinations

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

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