Microservices

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Microservices topic overview

The analysis highlights History and Technology as prominent areas in the source structure around Microservices.

Related topics: 56
Source areas: 10
Connected nodes: 66
Extracted relationships: 89
Related term clusters: 24
Bridge connections: 66

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.

Criticism and concerns · 12 topics

History · 11 topics

Benefits · 10 topics

Usage · 6 topics

Technologies · 5 topics

Best practices · 4 topics

Overview · 3 topics

Cell-based architecture in microservices · 2 topics

Challenges · 2 topics

Mapping microservices to bounded contexts · 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.

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

Microservices

3Software engineering · Architectural pattern · Monolithic application

6Native cloud application · Serverless computing · Containerization (computing)

9Hewlett Packard Labs · Robustness (computer science) · Resource-oriented computing

17Distributed computing · Circuit breaker design pattern · Alistair Cockburn

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

Usage

Cell-based architecture in microservices

History

Mapping microservices to bounded contexts

Domain-driven design

Benefits

Criticism and concerns

Challenges

Best practices

Technologies

For the semantics nerds

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

Advanced semantic analysis

How Microservices connects Entity context

The extracted context around Microservices shows recurring relationship patterns in the source. For example, Microservices → Alistair Cockburn, Also, Complex, Dexter, Hewlett Packard Labs, Micro-Services, Micro-Web-Services, Peter Rodgers, REST, REST-services, ROC, Rodgers, Services, Software, Ultimately, Unix, Unix-like, URI, Web, Web Services Edge Another extracted example is Microservices → Data, Development, HTTP, Inter-service, Moving, Services, Testing, Two-phased, Viewing. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to history · 20

Microservices → Alistair Cockburn, Also, Complex, Dexter, Hewlett Packard Labs, Micro-Services, Micro-Web-Services, Peter Rodgers, REST, REST-services, ROC, Rodgers, Services, Software, Ultimately, Unix, Unix-like, URI, Web, Web Services Edge

related to Criticism and concerns · 9

Microservices → Data, Development, HTTP, Inter-service, Moving, Services, Testing, Two-phased, Viewing

related to Technologies · 7

Microservices → Computer, Eclipse MicroProfile, GraphQL, RESTful HTTP, The Eclipse Foundation, Therefore, UI

related to Benefits · 6

Microservices → Distributed, Integration, Microservice-based, Modularity, Scalability, Since

related to Best practices · 6

Microservices → Building Microservices, Ford, Fundamentals, Newman, Richards, Sam Newman

related to Microservice granularity · 6

Microservices → Additionally, Architectural, Coarse-grained, Determining, Integrator, Neal Ford

related to Complexities · 5

Microservices → Also, BAC, HATEOAS, Swagger, Various

related to Usage · 5

Microservices → According, Despite, DevOps, Fowler, OS-level

related to Antipatterns · 4

Microservices → HTTP, Mark Richards, Reporting, Short

related to Code sharing challenges · 2

Microservices → Common, Ideally

Important terminology

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

Important terminology

services service architecture microservice data complexity monolithic software approach application distributed architectural deployment design operational independently systems deploy scalability often

Microservices relationships Subject–Predicate–Object triples

TTTA extracted 89 structured relationships around Microservices. Examples in this analysis include domain-driven design → instance of → Microservices architecture is closely associated with principles and increased operational complexity → instance of → microservices architecture introduces challenges. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
domain-driven design	instance of	Microservices architecture is closely associated with principles	0.80	text
decentralization of data	instance of	Microservices architecture is closely associated with principles	0.80	text
governance	instance of	Microservices architecture is closely associated with principles	0.80	text
and the flexibility to use different technologies for individual services to best meet their requirements	instance of	Microservices architecture is closely associated with principles	0.80	text
increased operational complexity	instance of	microservices architecture introduces challenges	0.80	text
network latency	instance of	microservices architecture introduces challenges	0.80	text
and the need for robust monitoring	instance of	microservices architecture introduces challenges	0.80	text
fault tolerance mechanisms	instance of	microservices architecture introduces challenges	0.80	text
performance	instance of	Architectural decisions commonly begin with identifying these drivers and then aligning architectural characteristics	0.80	text
scalability	instance of	Architectural decisions commonly begin with identifying these drivers and then aligning architectural characteristics	0.80	text
reliability	instance of	Architectural decisions commonly begin with identifying these drivers and then aligning architectural characteristics	0.80	text
or deployment flexibility to support them	instance of	Architectural decisions commonly begin with identifying these drivers and then aligning architectural characteristics	0.80	text

Related concept clusters Related term clusters

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

Microservices
- Data
- Service
- Often
- Services
- Software
- Computing
- Single
- Architectures
- Monolithic
- Operational
- Approach
- Rest
microservices
- Data
- Service
- Often
- Services
- Software
- Computing
- Single
- Architectures
- Monolithic
- Operational
- Approach
- Rest
monolithic architecture
- Design
- Microservices
- Distributed
- Microservice
- Software
- Challenges
- Systems
- Also
- Computing
- Approach
- Complexity
- Data
hexagonal architecture
- Design
- Microservices
- Distributed
- Microservice
- Software
- Challenges
- Also
- Computing
- Systems
- Complexity
- Data
- Pattern
cell-based architecture in microservices
- Design
- Microservices
- Distributed
- Microservice
- Software
- Data
- Challenges
- Service
- Also
- Computing
- Often
- Systems
mapping microservices to bounded contexts
- Context
- Single
- Microservice
- Challenges
- Design
- Data
- Service
- Often
- Services
- Microservices
- Software
- Computing
architectural pattern
- Deploy
- Design
- Granularity
- Scalability
- Requirements
- Software
- System
- Services
- Application
- Service
- Microservice
- Also
distributed computing
- Systems
- Development
- Rest
- Computing
- Distributed
- Deployment
- Software
- System
- Design
- Microservices
- Challenges
- Also

Connections between topic areas Semantic bridges

For Microservices, one of the stronger structural bridges in this analysis connects Microservices with Criticism and concerns. 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

Microservices — Criticism and concerns · splits 54 ⟂ 13

Microservices — History · splits 55 ⟂ 12

Microservices — Benefits · splits 56 ⟂ 11

Microservices — Usage · splits 60 ⟂ 7

Microservices — Technologies · splits 61 ⟂ 6

Microservices — Best practices · splits 62 ⟂ 5

Microservices — Overview · splits 63 ⟂ 4

Microservices — Cell-based architecture in microservices · splits 64 ⟂ 3

Microservices — Challenges · splits 64 ⟂ 3

Map overview Semantic statistics

Microservices

Nodes67

Edges66

Triples89

Avg. degree1.97

Density0.029851

Components1

Source & methodology

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

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

Microservices: History & Technology

Microservices 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

Usage

Cell-based architecture in microservices

History

Mapping microservices to bounded contexts

Benefits

Criticism and concerns

Challenges

Best practices

Technologies

For the semantics nerds

Advanced semantic analysis

How Microservices connects Entity context

Microservices

Top relations

Important terminology

Important terminology

Microservices relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

Microservices

Source & methodology