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PV168
Architectural Tuning
Monolithic Architecture
Monolithic architecture represents a traditional approach to software design where an entire application is treated as a single, tightly-integrated unit.
All components and modules are interconnected and interdependent within a single codebase.
The entire application is typically deployed as a single unit.
Monolithic Architecture
Challenges of Monolithic Architecture
Limited Scalability
Technology Stack Limitations
Deployment Bottlenecks
Limited Fault Isolation
Software Modularization
Software Modularization
Modularization is the process of breaking down the overall functionality of software into smaller, autonomous, and reusable parts called modules.
The goal is to achieve better organization, maintainability, and code clarity.
The modules are then combined to form a complete application.
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Modularization Advantages
Enhances code clarity and readability.
Facilitates code reuse and reduces duplication.
Eases software management and maintenance.
Modularization Disadvantages
Increased Complexity in Inter-module Communication
Potential for Overhead in Module Management
Dependency Management
Initial Overhead in Design
Microservices Architecture
Service Independence
Decentralized Data Management
Scalability
Decentralized Communication
Microservices Architecture
Advantages of Microservices Architecture
Scalability
Flexibility and Technology Diversity
Rapid Development and Deployment
Fault Isolation
Improved Team Autonomy
Disadvantages of Microservices Architecture
Increased Operational Complexity
Distributed System Challenges
Data Consistency
Inter-Service Communication
Testing and Debugging
Testing Across Services
Debugging Across Services
Communication in Microservices
Challenges
Complex Communication Patterns
Latency Management
Strategies
API Gateway
Event-Driven Architecture
Tools
Message Brokers
Transaction Management
Challenges
Distributed Transactions
Data Consistency
Strategies
Saga Pattern
Event Sourcing
Tools
Distributed Database
Transaction Monitoring Tools
Testing in Microservices
Challenges
Integration Testing Complexity
Data Consistency Testing
Strategies
Contract Testing
Chaos Engineering
Tools
Testing Frameworks
Containerized Testing
Security in Microservices
Challenges
Identity and Access Management
Secure Communication
Strategies
OAuth 2.0
JWT (JSON Web Tokens)
Tools
API Security Tools
Security Auditing
State Management in Microservices
Challenges
Consistency Across Services
Stateful Service Challenge
Strategies
Event Sourcing
CQRS (Command Query Responsibility Segregation)
Tools
Stateful Service Frameworks
Distributed Cache
Logging in Microservices Architecture
Challenges
Distributed Nature
Data Volume
Strategies
Centralized Logging
Structured Logging
Tools
Prometheus and Grafana
Application Performance Monitoring (APM)