concept#Architecture#Software Engineering#Interoperability#Scalability
Messaging
Messaging is a concept that enables the exchange of information between systems or users.
Messaging enables asynchronous communication between different applications and systems.
Maturity
Established
Cognitive loadMedium
Classification
- ComplexityMedium
- Impact areaOrganizational
- Decision typeArchitectural
- Organizational maturityAdvanced
Technical context
Integrations
Database Management SystemsCloud ProvidersThird-party APIs
Principles & goals
Separation of ConcernsAsynchronous ProcessingDecoupling of Services
Value stream stage
Build
Organizational level
Enterprise
Use cases & scenarios
Use cases
Scenarios
Compromises
Risks
- Dependencies Between Services
- Message Loss
- Security Concerns
Best practices
- Use standardized message formats.
- Implement error handling.
- Monitor messaging performance.
I/O & resources
Inputs
- User Input
- System Data
- Event Sources
Outputs
- Message Sent
- Data Transfer Completed
- User Notification
Description
Messaging enables asynchronous communication between different applications and systems. It promotes service decoupling and enhances interoperability through defined message formats. This flexibility supports the scalability and robustness of applications.
✔Benefits
- Increased Scalability
- Better Fault Tolerance
- Flexibility in Integration
✖Limitations
- Requires Additional Infrastructure
- Complex Debugging
- Potential Latency Issues
Trade-offs
Metrics
- Message Weight
The average weight of messages sent.
- Processing Time
The average time taken to process a message.
- Throughput
Number of messages processed per unit of time.
Examples & implementations
Messaging in Microservices
An example of using messaging to decouple microservices.
Notification Services
A service that sends real-time notifications to users.
Event-Driven Architectures
Using messaging in an event-driven architecture.
Implementation steps
1
Define the requirements for messaging.
2
Choose a messaging protocol.
3
Implement the messaging logic.
⚠️ Technical debt & bottlenecks
Technical debt
- Using Outdated Libraries
- Maintaining Poor Documentation
- Performing Inadequate Testing
Known bottlenecks
Performance BottleneckDependenciesManagement Complexity
Misuse examples
- Not Validating Messages
- Creating Excessive Dependencies
- Not Implementing Retries
Typical traps
- Generating Too Many Messages
- Overloading User Interface
- Not Logging Messages
Required skills
Knowledge of Asynchronous SystemsExperience with Messaging ProtocolsAbility to Debug
Architectural drivers
InteroperabilityScalabilityFlexibility
Constraints
- • Requires network conditions for real-time communication.
- • Restrictions on message size.
- • Availability requirements.