Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

LizardFS: Standards, Features & Architecture

LizardFS is an open source distributed file system that is POSIX-compliant and licensed under GPLv3. It was released in 2013 as fork of MooseFS. LizardFS also offers paid technical support (Standard, Enterprise, and Enterprise Plus), including configuring and setting up the cluster and active cluster monitoring.

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

LizardFS topic overview

The analysis highlights Standards, Features and Architecture as prominent areas in the source structure around LizardFS.

Related topics
21
Source areas
5
Connected nodes
26
Extracted relationships
67
Concept neighborhoods
10
Bridge connections
26

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Features · 9 topics
Overview · 5 topics
Architecture · 4 topics
Hardware · 2 topics
Description · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developer
Distributed FS Sp. z o.o.
License
GPLv3
Operating system
Linux, FreeBSD, Mac OS X, Solaris
Repository
github.com/lizardfs/lizardfs
Stable release
3.12.0 / 21 December 2017; 8 years ago (2017-12-21)
Type
Distributed file system

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Description

Hardware

Architecture

Features

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.

How LizardFS connects Entity context

The extracted context around LizardFS shows recurring relationship patterns in the source. For example, LizardFS → After, Another, Any, At, Chunks, Data, Distributed FS Sp, Each, File System Abstraction Layer, Files, First, For, From, Ganesha, Geo-replication, Hadoop, HDFS, High Availability, Icinga, If Another extracted example is LizardFS → Archived, GitHubLizardFS, Official, Wayback Machine. Use these groups to spot repeated connection types before inspecting the individual relationships.

LizardFS

Top relations

related to Features · 47
LizardFS → After, Another, Any, At, Chunks, Data, Distributed FS Sp, Each, File System Abstraction Layer, Files, First, For, From, Ganesha, Geo-replication, Hadoop, HDFS, High Availability, Icinga, If
related to External links · 4
LizardFS → Archived, GitHubLizardFS, Official, Wayback Machine
is a · 3
LizardFS → distributed, open source distributed file system that is POSIX-compliant and licensed under GPLv3, transparent and fully automatic trash bin
related to Hardware · 3
LizardFS → Commodity, The, This
related to Description · 2
LizardFS → It, This
Developer · 1
LizardFS → Distributed FS Sp. z o.o.
License · 1
LizardFS → GPLv3
Operating system · 1
LizardFS → Linux, FreeBSD, Mac OS X, Solaris
Repository · 1
LizardFS → github.com/lizardfs/lizardfs
Stable release · 1
LizardFS → 3.12.0 / 21 December 2017; 8 years ago (2017-12-21)

Important terminology

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

Important terminology

file metadata servers server system data distributed master stored also files two chunkservers one available installation use called client offers

LizardFS relationships Subject–Predicate–Object triples

TTTA extracted 67 structured relationships around LizardFS. Examples in this analysis include LizardFS → Developer → Distributed FS Sp. z o.o. and LizardFS → License → GPLv3. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
LizardFSDeveloperDistributed FS Sp. z o.o.1.00infobox
LizardFSLicenseGPLv31.00infobox
LizardFSOperating systemLinux, FreeBSD, Mac OS X, Solaris1.00infobox
LizardFSRepositorygithub.com/lizardfs/lizardfs1.00infobox
LizardFSStable release3.12.0 / 21 December 2017; 8 years ago (2017-12-21)1.00infobox
LizardFSTypeDistributed file system1.00infobox
LizardFSWebsitelizardfs.com1.00infobox
LizardFSis aopen source distributed file system that is POSIX-compliant and licensed under GPLv30.90text
LizardFSis adistributed0.90text
LizardFSis atransparent and fully automatic trash bin0.90text
LizardFSrelated to ArchitectureMetadata0.60section
LizardFSrelated to DescriptionThis0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around LizardFS bring nearby vocabulary together. In this analysis, examples include Data, Files and Client. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • LizardFS
    • Data
    • Files
    • Client
    • Use
    • Stored
    • System
    • Servers
    • Access
    • Offers
    • Two
    • Master
    • Server
  • lizardfs
    • Data
    • Files
    • Client
    • Use
    • Stored
    • System
    • Servers
    • Access
    • Offers
    • Two
    • Master
    • Server
  • distributed file system
    • Distributed
    • System
    • File
    • Gplv3
    • Lizardfs
    • Available
    • Moosefs
    • Server
    • Servers
    • Metadata
    • Hardware
    • Machine
  • data replication
    • Lizardfs
    • Chunkservers
    • Use
    • Files
    • Two
    • Stored
    • Servers
    • Metadata
    • Gplv3
    • File
    • Access
    • Configuration
  • high available
    • System
    • Gplv3
    • Configuration
    • Disks
    • Machine
    • Multiple
    • Least
    • Monitoring
    • Client
    • Installation
    • Distributed
    • Files
  • metadata
    • Servers
    • Master
    • Server
    • Called
    • Role
    • Shadow
    • One
    • Configuration
    • Machine
    • Client
    • Chunkservers
    • Two
  • gplv3
    • System
    • Multiple
    • Available
    • Files
    • Data
    • Servers
    • Lizardfs
  • commodity hardware
    • Storage
    • Used
    • Lizardfs

Connections between topic areas Semantic bridges

For LizardFS, one of the stronger structural bridges in this analysis connects LizardFS with Features. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
LizardFS — Features · splits 17 ⟂ 10
LizardFS — Overview · splits 21 ⟂ 6
LizardFS — Architecture · splits 22 ⟂ 5
LizardFS — Hardware · splits 24 ⟂ 3

Map overview Semantic statistics

LizardFS

Nodes27
Edges26
Triples67
Avg. degree1.93
Density0.074074
Components1

Source & methodology

TTTA analyzes the structure around LizardFS to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Standards, Features & Architecture, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — LizardFS · EN edition · Analysis: TopicsToTalkAbout

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