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Edge Side Includes

Edge Side Includes (ESI) is a small markup language for edge level dynamic web content assembly. The purpose of ESI is to tackle the problem of web infrastructure scaling. It is an application of edge computing.

Overview, Alternatives & Features

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Edge Side Includes. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Syntax

Features

Alternatives

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Edge Side Includes

Nodes37
Edges36
Triples4
Avg. degree1.95
Density0.054054
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

esi content web specification w3c akamai caching problem edge page assembly language features tags server origin systems submitted approval proposal

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Varnishinstance ofand by some caching proxy servers0.80text
Squidinstance ofand by some caching proxy servers0.80text
Mongrel ESIinstance ofand by some caching proxy servers0.80text
although many do not implement the complete specificationinstance ofand by some caching proxy servers0.80text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.