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Docker: Historie, Struktura & Komponenty
Docker je nástroj pro virtualizaci na úrovni operačního systému tvořený sadou produktů umožňujících automatizované nasazování softwarových aplikací v odlehčených kontejnerech, které lze konzistentně spouštět na různých výpočetních platformách. Byl vydán v roce 2013 a je stále vyvíjen společností Docker, Inc. Platforma obsahuje volné i placené verze.
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Docker topic overview
The analysis highlights Historie, Struktura and Komponenty as prominent areas in the source structure around Docker.
Related topics
75
Source areas
6
Connected nodes
81
Extracted relationships
102
Concept neighborhoods
16
Bridge connections
81
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.
Historie · 32 topics
Struktura · 23 topics
Komponenty · 8 topics
Odkazy · 7 topics
Overview · 3 topics
Model licencování · 2 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.
Aktuální verze
29.7.2 (6. srpna 2026)
Licence
Licence Apache 2.0
Operační systém
Linux, Windows, MacOS
Platforma
x86_64 architektura ARM IBM S/390
První vydání
20. března 2013; před 4905 dny
Typ softwaru
Virtualizace na úrovni operačního systému
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Docker connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Docker shows recurring relationship patterns in the source. For example, Docker → Amazon Elastic Compute Cloud, Analýza, AtomicJar, Březen, Cisco Systems, Docker Desktop, Docker Engine, Dockerem, Dockeru, Dostupnost Docker Engine, Duben, EC2, Enterprise, Fedora, Free Plan, Google, Home, Huawei, Hyper-V, IBM Another extracted example is Docker → Combinator, Docker Inc, Francii, Go, Inc, Kamel Founadi, LXC, PaaS, Platform, Projekt Docker, PyCon, Santa Claře, Sebastien Pahl, Solomon Hykes, Společnost, Veřejnosti. Use these groups to spot repeated connection types before inspecting the individual relationships.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 102 structured relationships around Docker. Examples in this analysis include Docker → Aktuální verze → 29.7.2 (6. srpna 2026) and Docker → Licence → Licence Apache 2.0. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Docker
Aktuální verze
29.7.2 (6. srpna 2026)
1.00
infobox
Docker
Licence
Licence Apache 2.0
1.00
infobox
Docker
Operační systém
Linux, Windows, MacOS
1.00
infobox
Docker
Platforma
x86_64 architektura ARM IBM S/390
1.00
infobox
Docker
První vydání
20. března 2013; před 4905 dny
1.00
infobox
Docker
Typ softwaru
Virtualizace na úrovni operačního systému
1.00
infobox
Docker
Vyvíjeno v
Go
1.00
infobox
Docker
Vývojář
Docker, Inc.
1.00
infobox
Docker
Web
www.docker.com Repozitář github.com/moby/moby
1.00
infobox
Docker
related to Externí odkazy
Obrázky
0.60
section
Docker
related to Externí odkazy
Wikimedia CommonsMoby
0.60
section
Docker
related to Externí odkazy
GitHubu
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Docker bring nearby vocabulary together. In this analysis, examples include Engine, Windows and Kontejnerů. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Docker
Engine
Windows
Kontejnerů
Umožňuje
Oznámil
Inc
Kontejner
Macos
Roce
Microsoft
Systému
Aplikace
docker
Engine
Windows
Kontejnerů
Umožňuje
Oznámil
Inc
Kontejner
Macos
Roce
Microsoft
Systému
Aplikace
docker (software)
Engine
Windows
Kontejnerů
Umožňuje
Oznámil
Inc
Kontejner
Macos
Roce
Microsoft
Systému
Aplikace
virtualizaci na úrovni operačního systému
Operačního
Úrovni
Systému
Kontejnery
Ibm
Platforma
Softwaru
Aplikací
Kontejner
Macos
Obsahuje
Soubory
jádra operačního systému
Úrovni
Systému
Kontejnery
Ibm
Platforma
Softwaru
Kontejner
Macos
Obsahuje
Soubory
Spouštět
Možné
ibm
Platforma
Softwaru
Úrovni
Jsou
Kontejner
Macos
Obsahuje
Operačního
Soubory
Microsoft
Pouze
Systému
macos
Windows
Aplikace
Ibm
Platforma
Softwaru
Úrovni
Kontejner
Může
Obsahuje
Operačního
Soubory
Prostředí
nezávislý dodavatel softwaru
Engine
Ibm
Úrovni
Verze
Běh
Kontejner
Macos
Serveru
Soubory
Windows
Pouze
Systému
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Docker, one of the stronger structural bridges in this analysis connects Docker with Historie. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Docker
Nodes82
Edges81
Triples102
Avg. degree1.98
Density0.02439
Components1
Source & methodology
TTTA analyzes the structure around Docker to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Struktura & Komponenty, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
