Microservices
An architectural style that divides applications into small, independent services.
Classification
- ComplexityMedium
- Impact areaTechnical
- Decision typeArchitectural
- Organizational maturityIntermediate
Technical context
Principles & goals
Use cases & scenarios
Compromises
- Excessive Dependency on Networks
- Difficulties in Troubleshooting
- Higher Operational Costs
- Use of API standards.
- Regular review of services.
- Documentation of all microservices.
I/O & resources
- Developer Resources
- Technological Infrastructure
- Service Documentation
- Functional Microservices
- Scalable Architectures
- Optimized Development Processes
Description
Microservices are an architectural style where applications are composed of a collection of small, autonomous services that communicate over APIs. Each service is responsible for a specific function and can be developed, deployed, and scaled independently.
✔Benefits
- Increased Scalability
- Faster Deployment of New Features
- Improved Fault Tolerance
✖Limitations
- Complexity of Management
- Higher Communication Requirements
- Potential Data Inconsistencies
Trade-offs
Metrics
- Response Time
The time taken by a service to respond to a request.
- Availability
The percentage of time a service is operational.
- Error Rate
The percentage of failed requests.
Examples & implementations
Netflix
Netflix uses a microservices architecture to scale and manage its streaming services.
Amazon
Amazon implements microservices to manage various functions such as orders, payments, and shipping.
Spotify
Spotify uses microservices to optimize music streaming and user interactions.
Implementation steps
Develop a clear architectural plan.
Set up the necessary infrastructure.
Train teams in microservices practices.
⚠️ Technical debt & bottlenecks
Technical debt
- Insufficient documentation of services.
- Outdated technologies in the infrastructure.
- Lack of testing and quality assurance.
Known bottlenecks
Misuse examples
- Neglecting API security.
- Excessive reliance on a single service.
- Lack of testing for microservices.
Typical traps
- Assuming that microservices are always the best solution.
- Ignoring the complexity of integration.
- Underestimating the effort for management.
Required skills
Architectural drivers
Constraints
- • Compliance with Security Standards
- • Regulatory Requirements
- • Technological Dependencies