Core Concepts Overview

Core Concepts

Edge Delta is more than a telemetry collector—it’s a flexible platform for shaping how observability and security data flows through your systems. This section breaks down the foundational concepts that define how Edge Delta works under the hood, giving you insight into how to build efficient, scalable pipelines.

Each concept contributes to a unified framework for controlling, enriching, and routing your telemetry—delivering real-time insights, reducing downstream costs, and preserving visibility where it matters.

Explore the key concepts below:

Edge Delta Architecture

Understand Edge Delta’s modular pipeline architecture, including Node, Gateway, Coordinator, and Cloud Pipelines. Learn when to use each pipeline type, how to choose deployment patterns for your infrastructure, and best practices for organizing pipelines at scale.

Telemetry Pipelines

Learn how Edge Delta helps reduce the volume of telemetry data sent to downstream tools. This section explains how optimization is calculated, where reductions occur in your pipelines, and how to estimate cost savings over time. You’ll also learn how to compare volume changes by source or destination, view pipeline-level reductions, and analyze your total return on investment.

Processors

Processors simplify how you shape and manage telemetry data within your pipelines. Instead of chaining individual function nodes, you can define a full sequence of data operations—such as filtering, redacting, enriching, or aggregating—in a single step. This streamlines pipeline design, reduces misconfiguration risk, and makes ongoing maintenance easier.

Routing, Filtering, Aggregation

Routing, Filtering, and Aggregation optimize telemetry data by directing logs based on content to appropriate destinations, filtering out irrelevant data to reduce noise and costs, and aggregating logs into metrics for clearer, actionable insights—enabling efficient, scalable, and targeted monitoring and response.

Data Reduction

Data Reduction in Edge Delta tackles the exponential growth of telemetry volumes through pre-index processing that transforms, filters, and optimizes data at the source. This section explores comprehensive strategies from field deletion and lookup table replacements to log-to-metric conversion and pattern recognition—helping you achieve 20-90% volume reduction while maintaining full observability.

Data Tiering

Data Tiering in Edge Delta empowers you to optimize log management by intelligently routing different types of telemetry data to the most appropriate destinations based on value, use case, and cost considerations. This section explains how granular pipeline controls let you reduce expenses, improve performance, and preserve critical context—so you can retain, analyze, and deliver the right data to the right tools while meeting compliance and operational needs.

Flow Control

Dynamically manage data volume with intelligent sampling that balances cost optimization with full-fidelity troubleshooting during incidents. Learn how to implement adaptive sampling strategies that respond to traffic patterns.

Anomaly Detection and Insights

Anomaly Detection and Insights in Edge Delta centers around surfacing meaningful log patterns and unusual system behaviors as they happen, so you can respond faster and stay ahead of incidents. This section details how patterns are detected and analyzed, how negative sentiment is flagged to highlight potentially urgent issues, and how intuitive visualizations and customizable monitors help you track anomalies in real time.

Monitoring and Visibility

Monitor agent health, throughput, and performance metrics across your Edge Delta pipelines. Track deployment status, identify bottlenecks, and ensure your telemetry infrastructure operates reliably.

Troubleshooting and Diagnostics

Debug pipelines, inspect live data, and diagnose issues across your Edge Delta deployment. Access tools and techniques for identifying and resolving common problems.

Security and Compliance

Edge Delta’s security data pipelines let teams shape sensitive telemetry for every stakeholder. Learn about PII masking, encryption, audit trails, and compliance frameworks including GDPR, HIPAA, SOC 2, and PCI DSS.

AI Team Fundamentals

Get familiar with Edge Delta’s AI teammates, how they connect to telemetry through connectors, and how workspaces and playbooks orchestrate investigations. This section explains the building blocks that let you operationalize AI-driven responses while keeping data access secure and auditable.

Model Context Protocol

Learn how Edge Delta implements the Model Context Protocol (MCP) to enable AI assistants to interact with your telemetry data. Understand how MCP servers expose your observability data to AI tools while maintaining security and access control.

By understanding these core concepts, you’ll be better equipped to design telemetry pipelines that are fast, cost-effective, and tailored to your team’s needs.

Looking to build your own pipeline? Explore the How-To Guides for practical walkthroughs.