Packt

 Book Author

Goldiran

Goldiran is a commercial company whose main business is the production of household appliances and electrical appliances such as refrigerators, washing machines, televisions, etc. The software team is responsible for the implementation, including forms for customer affairs, finance, warehouse, parts, etc

company Internal website : https://gs.goldirancs.ir
company Sales website : https://cs.goldiran.ir

Full Stack Developer

Code Maze

Code Maze is a website for learning programming language, the main activity of which is to produce articles about C#, .NET Core, and Blazor, such as Solid, Delgate, and Design Pattern concepts. The responsibility of implementing the articles lies with the team of technical writers

company website : https://code-maze.com

Technical Author

Mobtakeran - Goldiran

Mobtakeran is a commercial company whose main business is the production of industrial cooling and ventilation such as split duct, air conditioner, integrated air package and so on. The software team is responsible for the implementation, including forms for customer affairs, finance, warehouse, parts, etc

company Internal website : http://77.104.69.19/newgsfront
company website : https://goldiran.ir/Page/B2B

Full Stack Developer 

Freelancer.com

Projects such as bank scheduling, taxi agency, store accounting, etc. I did

website : https://freelancer.com
website : https://ponisha.ir
website : https://parscoders.com

C# Developer

Hi there! 👋,
I'm Sina Riahi and 26 years old
I am a full-stack developer with 3 years of experience in website design and application development in the field of business (CRM, ASS, WMS, HMS, GMS).
I spend my free time posting on LinkedIn (for clean code and the best code and new features, etc.) and sample projects on GitHub.
I like details and team spirit.
Creation is the ultimate beauty.
I am a creator who creates every moment with infinite joy.
I will learn and with patience and determination in the challenges that I will face, I will turn them into experiences

Evolution Of Software Architecture 

The evolution of software architecture has been shaped by the need for greater flexibility, scalability, maintainability, and responsiveness to changing business requirements. Here's an overview of the three major architectural styles: Monolithic, Service-Oriented Architecture (SOA), and Microservices.

1. Monolithic Architecture
Definition: In a monolithic architecture, an application is built as a single, unified unit. All components (user interface, business logic, and data access) are interconnected and run as a single service.

Characteristics:
Single Codebase: All functionalities are packaged together.
Tightly Coupled: Components are interdependent, making changes to one area potentially affect others.
Deployment: Typically deployed as a single unit, which can simplify the deployment process.
Performance: Generally offers high performance due to reduced inter-process communication.

2. Service-Oriented Architecture (SOA)
Definition: Service-Oriented Architecture is an architectural pattern that structures an application as a collection of loosely coupled services. Each service implements a specific business function and communicates over a network.

Characteristics:
Loose Coupling: Services can be developed, deployed, and scaled independently.
Interoperability: Services can interact with each other regardless of the underlying technology.
Reusability: Services can be reused across different applications or contexts.
Standardized Protocols: Communication often uses standardized protocols like SOAP, REST, or messaging queues.


3. Microservices Architecture
Definition: Microservices architecture takes the principles of SOA further by breaking down applications into even smaller, more granular services that focus on specific business capabilities. Each microservice can be developed, deployed, and scaled independently.
Characteristics:

Single Responsibility: Each microservice is responsible for a specific business function.
Independent Deployment: Microservices can be deployed independently, allowing for continuous delivery and integration.
Polyglot Technology: Teams can choose different technologies and languages for different services based on their needs.
Decentralized Data Management: Each microservice can manage its own database, leading to data decentralization.

The evolution from monolithic architecture to service-oriented architecture and then to microservices reflects a response to the need for more flexible, scalable, and maintainable software solutions. Each architectural style has its strengths and challenges, and the choice of architecture often depends on the specific needs and context of the application being developed. Organizations must weigh the benefits of modularity and independence against the inherent complexities that come with distributed systems.

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Sina Riyahi

Batch vs Stream vs Message Queue 

When discussing data processing and transmission, "batch," "stream," and "message queue" refer to different approaches and architectures.

Batch Processing
-Definition: Batch processing involves collecting and processing data in large groups (or batches) at scheduled intervals.

- Characteristics:
  - Data is accumulated over a period of time and then processed all at once.
  - Typically used for processing large volumes of data where real-time processing is not critical.
  - Examples include payroll systems, end-of-day reports, and data warehousing tasks.

-Advantages:
  - Efficient for processing large datasets.
  - Easier to optimize since all data is available at once.
  - Reduced overhead compared to processing each item individually.

- Disadvantages:
  - Not suited for real-time applications where immediate data processing is required.
  - Latency between data generation and processing can be significant.

Stream Processing
-Definition: Stream processing involves continuous input and processing of data, allowing for real-time analytics and insights.

-Characteristics:
  - Data is processed as it is generated, often in small increments or events.
  - Suitable for scenarios requiring immediate insights or actions, such as fraud detection, monitoring, or real-time recommendations.

-Advantages:
  - Low latency, enabling real-time processing and immediate responsiveness.
  - Can handle high-velocity data streams effectively.

-Disadvantages:
  - More complex to implement and maintain compared to batch systems.
  - Requires careful handling of data consistency and state.

Message Queue
-Definition: A message queue is a communication method used to send and receive messages between distributed systems or components in a decoupled manner.

- Characteristics:
  - Messages are placed in a queue, allowing producers and consumers to operate independently.
  - Supports asynchronous communication, meaning that a producer does not have to wait for a consumer to process a message before continuing.

- Advantages:
  - Enhances scalability and reliability by decoupling components.
  - Supports load balancing, as multiple consumers can process messages from the queue.
  - Can help manage spikes in data volume, as messages can be queued until they can be processed.

- Disadvantages:
  - Potential for message loss or duplication if not properly managed.
  - Can introduce latency if consumers are slow to process messages.


-Batch processing is ideal for tasks that can tolerate delays and involve large datasets.
-Stream processing is suited for scenarios requiring immediate action and real-time analytics.
-Message queues provide an asynchronous communication mechanism, enabling decoupled architectures for better scalability and reliability.

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