concept#Data#Platform#Loose Coupling#System Integration
Message Broker
A message broker is a software framework that facilitates the exchange of data between different systems.
A message broker enables software applications to communicate across network protocols and exchange messages asynchronously.
Maturity
Established
Cognitive loadMedium
Classification
- ComplexityMedium
- Impact areaTechnical
- Decision typeArchitectural
- Organizational maturityIntermediate
Technical context
Integrations
HTTP APIsDatabasesCloud Services
Principles & goals
Loose coupling of components.Messages should be processed asynchronously.Achieve scalability through distribution.
Value stream stage
Build
Organizational level
Domain, Team
Use cases & scenarios
Use cases
Scenarios
Compromises
Risks
- Broker overload can lead to message loss.
- Corrupted messages can destabilize the system.
- Security vulnerabilities with insecure protocols.
Best practices
- Document communication protocols.
- Regular performance monitoring.
- Prepare for load spikes.
I/O & resources
Inputs
- Source Messages
- Message Formats
- Network Configuration
Outputs
- Target Messages
- Logged Events
- Notifications
Description
A message broker enables software applications to communicate across network protocols and exchange messages asynchronously. This promotes loose coupling and improves system architecture.
✔Benefits
- Facilitates integration between systems.
- Increases flexibility and adaptability.
- Optimizes resource utilization.
✖Limitations
- Leads to increased communication overhead.
- Can introduce complexities in implementation.
- Dependency on the broker software.
Trade-offs
Metrics
- Throughput
The number of messages that can be processed per unit time.
- Response Time
The time taken to process a message and respond.
- Message Loss Rate
The percentage of messages lost during transmission.
Examples & implementations
Apache Kafka in Action
An example of using a message broker for processing real-time data.
RabbitMQ for Microservices
Implementation of RabbitMQ for communication between microservices.
Redis as a Message Broker
Using Redis for simple message delivery in applications.
Implementation steps
1
Install and configure broker software.
2
Define message streams.
3
Implement security protocols.
⚠️ Technical debt & bottlenecks
Technical debt
- Outdated broker versions.
- Lack of monitoring and logging.
- Insufficient documentation.
Known bottlenecks
Bottleneck in message processing.Latency issues in communication.Scalability constraints of the broker.
Misuse examples
- Overloading the broker with too many messages.
- Sending non-standardized messages.
- Ignoring security protocols.
Typical traps
- Overly complex broker configuration.
- Insufficient testing before production use.
- Lack of training for the team.
Required skills
Knowledge of messaging protocolsUnderstanding of network architecturesTroubleshooting skills
Architectural drivers
Extensibility of system architecture.Flexibility in integrating various services.Adaptability to changing requirements.
Constraints
- • Constraints imposed by prototype architecture.
- • Maintenance effort of deployed technology.
- • Restrictions from data security management.