Continuous delivery

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

Map view:

Zoom: 100%

More settings

Connection length 100% Label size 100% Node size 100% Line width 100% Label width 100%

Export map as:

Continuous delivery topic overview

The analysis highlights Technology, Principles and Implementation and usage as prominent areas in the source structure around Continuous delivery.

Related topics: 35
Source areas: 9
Connected nodes: 44
Extracted relationships: 43
Related term clusters: 19
Bridge connections: 44

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.

Implementation and usage · 7 topics

Principles · 7 topics

Best practices for cloud systems · 5 topics

Benefits and obstacles · 4 topics

Deployment pipeline · 4 topics

Tools/tool types · 4 topics

Architecting for continuous delivery · 2 topics

Overview · 1 topics

Relationship to Continuous Deployment · 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.

Start with your topic. Discover where to go next.

Explore different angles and find fresh ideas to shape your next piece of content.

Continuous delivery

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

Software engineering

Principles

Deployment pipeline

Tools/tool types

Architecting for continuous delivery

Implementation and usage

Benefits and obstacles

Best practices for cloud systems

Relationship to Continuous Deployment

Software deployment

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Continuous delivery connects Entity context

The extracted context around Continuous delivery shows recurring relationship patterns in the source. For example, Continuous delivery → Amazon, Companies, Continuous, David Farley, Facebook, Google, Jez Humble, Paddy Power, Well-known, Wells Fargo, Yahoo Another extracted example is Continuous delivery → Accelerated, Building, Continuous, Frequent, Improved, Reliable, Several, Significant. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to Implementation and usage · 11

Continuous delivery → Amazon, Companies, Continuous, David Farley, Facebook, Google, Jez Humble, Paddy Power, Well-known, Wells Fargo, Yahoo

related to Benefits and obstacles · 8

Continuous delivery → Accelerated, Building, Continuous, Frequent, Improved, Reliable, Several, Significant

related to Principles · 6

Continuous delivery → According, Bring, Code, Continuous, Neal Ford, Poka-Yoke

related to Deployment pipeline · 5

Continuous delivery → Continually, Continuous, Feedback, Team, Visibility

related to Architecting for continuous delivery · 3

Continuous delivery → ASRs, Microservices, These ASRs

related to Relationship to Continuous Deployment · 3

Continuous delivery → Academic, Continuous, Therefore

related to Strategies to overcome adoption challenges · 1

Continuous delivery → Several

related to Tools/tool types · 1

Continuous delivery → Continuous

Important terminology

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

Important terminology

continuous delivery deployment software time pipeline automation process testing release production approach tools code build releases cd teams changes challenges

Continuous delivery relationships Subject–Predicate–Object triples

TTTA extracted 43 structured relationships around Continuous delivery. Examples in this analysis include feature toggles can be very useful for committing code early which is not yet ready for use by end users → instance of → Patterns and code branching are not obsolete in a CD world → instance of → Other useful techniques for developing code in isolation. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
feature toggles can be very useful for committing code early which is not yet ready for use by end users	instance of	Patterns	0.80	text
code branching are not obsolete in a CD world	instance of	Other useful techniques for developing code in isolation	0.80	text
but must be adapted to fit the principles of CD - for example	instance of	Other useful techniques for developing code in isolation	0.80	text
running multiple long-lived code branches can prove impractical	instance of	Other useful techniques for developing code in isolation	0.80	text
as a releasable artifact must be built early in the CD process from a single code branch if it is to pass through all phases of the pipeline	instance of	Other useful techniques for developing code in isolation	0.80	text
Continuous delivery	related to Architecting for continuous delivery	ASRs	0.60	section
Continuous delivery	related to Architecting for continuous delivery	These ASRs	0.60	section
Continuous delivery	related to Architecting for continuous delivery	Microservices	0.60	section
Continuous delivery	related to Benefits and obstacles	Several	0.60	section
Continuous delivery	related to Benefits and obstacles	Accelerated	0.60	section
Continuous delivery	related to Benefits and obstacles	Continuous	0.60	section
Continuous delivery	related to Benefits and obstacles	Building	0.60	section

Related concept clusters Related term clusters

The concept neighborhoods around Continuous delivery bring nearby vocabulary together. In this analysis, examples include Delivery, Deployment and Automation. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

Continuous delivery
- Delivery
- Deployment
- Automation
- Software
- Tools
- Process
- Pipeline
- Architecting
- Principles
- Cd
- Challenges
- Practices
time to market
- Repository
- Cd
- Change
- Changes
- Include
- Approach
- Software
- Deployment
- Control
- Engineering
- Helps
- May
continuous delivery
- Delivery
- Deployment
- Automation
- Software
- Pipeline
- Tools
- Process
- Architecting
- Principles
- Challenges
- Practices
- Cd
deployment pipeline
- Pipeline
- Process
- According
- Principles
- Repository
- Practices
- Systems
- Tools
- Automation
- Software
- Automated
- Adoption
continuous integration
- Delivery
- Deployment
- Automation
- Software
- Tools
- Process
- Pipeline
- Architecting
- Principles
- Cd
- Challenges
- Practices
application release automation
- Build
- Process
- Continuous
- Releases
- Control
- Devops
- Software
- Tools
- Release
- Deployment
- Delivery
- Automated
build automation
- Control
- Change
- Build
- Continuous
- Release
- Devops
- Testing
- Tools
- Deployment
- Helps
- Repository
- Delivery
architecting for continuous delivery
- Delivery
- Challenges
- Systems
- Tools
- Deployment
- Automation
- Software
- According
- Adoption
- Devops
- Principles
- Pipeline

Connections between topic areas Semantic bridges

For Continuous delivery, one of the stronger structural bridges in this analysis connects Continuous delivery with Principles. 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

Continuous delivery — Principles · splits 37 ⟂ 8

Continuous delivery — Implementation and usage · splits 37 ⟂ 8

Continuous delivery — Best practices for cloud systems · splits 39 ⟂ 6

Continuous delivery — Deployment pipeline · splits 40 ⟂ 5

Continuous delivery — Tools/tool types · splits 40 ⟂ 5

Continuous delivery — Benefits and obstacles · splits 40 ⟂ 5

Continuous delivery — Architecting for continuous delivery · splits 42 ⟂ 3

Map overview Semantic statistics

Continuous delivery

Nodes45

Edges44

Triples43

Avg. degree1.96

Density0.044444

Components1

Source & methodology

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

Source: Wikipedia — Continuous delivery · EN edition · Analysis: TopicsToTalkAbout

Continuous delivery: Technology, Principles & Implementation and usage

Continuous delivery topic overview

What this topic covers Research coverage

Key facts & relationships

Start with your topic. Discover where to go next.

Questions to explore

Explore all related topics Closing gaps

Overview

Principles

Deployment pipeline

Tools/tool types

Architecting for continuous delivery

Implementation and usage

Benefits and obstacles

Best practices for cloud systems

Relationship to Continuous Deployment

For the semantics nerds

Advanced semantic analysis

How Continuous delivery connects Entity context

Continuous delivery

Top relations

Important terminology

Important terminology

Continuous delivery relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

Continuous delivery

Source & methodology