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๐—ฆ๐—ผ๐—ณ๐˜๐˜„๐—ฎ๐—ฟ๐—ฒ ๐—”๐—ฟ๐—ฐ๐—ต๐—ถ๐˜๐—ฒ๐—ฐ๐˜๐˜‚๐—ฟ๐—ฒ ๐—ฃ๐—ฎ๐˜๐˜๐—ฒ๐—ฟ๐—ป๐˜€: ๐— ๐—ฉ๐—–, ๐— ๐—ฉ๐—ฃ, ๐— ๐—ฉ๐—œ, ๐— ๐—ฉ๐—ฉ๐— , ๐—ฉ๐—œ๐—ฃ๐—˜๐—ฅ


Design patterns are essential tools for any developer, offering a framework for structuring code in a clean, maintainable, and scalable way.

Today, we'll delve into five of the most popular design patterns, exploring their strengths and weaknesses to help you choose the right fit for your next project.

๐— ๐—ฉ๐—– (๐— ๐—ผ๐—ฑ๐—ฒ๐—น-๐—ฉ๐—ถ๐—ฒ๐˜„-๐—–๐—ผ๐—ป๐˜๐—ฟ๐—ผ๐—น๐—น๐—ฒ๐—ฟ):

- Classic pattern separating code into three layers:
- ๐— ๐—ผ๐—ฑ๐—ฒ๐—น: Data and business logic
- ๐—ฉ๐—ถ๐—ฒ๐˜„: Presentation of data to the user
- ๐—–๐—ผ๐—ป๐˜๐—ฟ๐—ผ๐—น๐—น๐—ฒ๐—ฟ: Handles user input and updates model/view
- Simple and familiar, but can lead to tightly coupled components in complex applications.

๐— ๐—ฉ๐—ฃ (๐— ๐—ผ๐—ฑ๐—ฒ๐—น-๐—ฉ๐—ถ๐—ฒ๐˜„-๐—ฃ๐—ฟ๐—ฒ๐˜€๐—ฒ๐—ป๐˜๐—ฒ๐—ฟ):

- Introduces a Presenter to mediate between view and model.
- Improves separation of concerns and testability.
- Requires additional boilerplate code compared to MVC.

๐— ๐—ฉ๐—œ (๐— ๐—ผ๐—ฑ๐—ฒ๐—น-๐—ฉ๐—ถ๐—ฒ๐˜„-๐—œ๐—ป๐˜๐—ฒ๐—ป๐˜):

- Built for reactive programming.
- View emits intents, handled by the model, updating state and view.
- Promotes unidirectional data flow and simplifies UI logic.
- May require a steeper learning curve.

๐— ๐—ฉ๐—ฉ๐—  (๐— ๐—ผ๐—ฑ๐—ฒ๐—น-๐—ฉ๐—ถ๐—ฒ๐˜„-๐—ฉ๐—ถ๐—ฒ๐˜„๐— ๐—ผ๐—ฑ๐—ฒ๐—น):

- View binds to a ViewModel holding data and display logic.
- ViewModel updates by the model, then updates the view.
- Well-suited for reactive frameworks and complex UIs.
- Requires additional ViewModel setup compared to MVP.

๐—ฉ๐—œ๐—ฃ๐—˜๐—ฅ (๐—ฉ๐—ถ๐—ฒ๐˜„, ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐—ฎ๐—ฐ๐˜๐—ผ๐—ฟ, ๐—ฃ๐—ฟ๐—ฒ๐˜€๐—ฒ๐—ป๐˜๐—ฒ๐—ฟ, ๐—˜๐—ป๐˜๐—ถ๐˜๐˜†, ๐—ฅ๐—ผ๐˜‚๐˜๐—ฒ๐—ฟ):

- Designed for large and complex applications.
- Five layers: View, Interactor (business logic), Presenter (data preparation), Entity (data models), Router (data flow coordination).
- Enhances modularity and maintainability for massive projects.
- Requires meticulous planning and understanding due to its complexity.

๐—–๐—ต๐—ผ๐—ผ๐˜€๐—ถ๐—ป๐—ด ๐˜๐—ต๐—ฒ ๐—ฅ๐—ถ๐—ด๐—ต๐˜ ๐—ฃ๐—ฎ๐˜๐˜๐—ฒ๐—ฟ๐—ป:

The optimal pattern depends on various factors, including:

- ๐—ฃ๐—ฟ๐—ผ๐—ท๐—ฒ๐—ฐ๐˜ ๐˜€๐—ถ๐˜‡๐—ฒ ๐—ฎ๐—ป๐—ฑ ๐—ฐ๐—ผ๐—บ๐—ฝ๐—น๐—ฒ๐˜…๐—ถ๐˜๐˜†: MVC/MVP for simple apps, MVI/MVVM for reactive apps, VIPER for large projects.
- ๐—ง๐—ฒ๐—ฎ๐—บ ๐—ฒ๐˜…๐—ฝ๐—ฒ๐—ฟ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ: Choose a pattern familiar to your team to avoid learning curves.
- ๐—ฃ๐—ฒ๐—ฟ๐˜€๐—ผ๐—ป๐—ฎ๐—น ๐—ฝ๐—ฟ๐—ฒ๐—ณ๐—ฒ๐—ฟ๐—ฒ๐—ป๐—ฐ๐—ฒ: Experiment and find what works best for you and your team.


Ultimately, experimenting and finding what works best for you and your team is key.

What do you think?

Which software architecture pattern is your favorite?
๐—–๐—ผ๐—บ๐—ฝ๐—ฎ๐—ป๐—ถ๐—ฒ๐˜€ ๐˜„๐—ต๐—ถ๐—ฐ๐—ต ๐—ต๐—ถ๐—ฟ๐—ฒ ๐—ณ๐—ฟ๐—ฒ๐˜€๐—ต๐—ฒ๐—ฟ๐˜€ ๐—ข๐—ณ๐—ณ-๐—–๐—ฎ๐—บ๐—ฝ๐˜‚๐˜€ ๐—ธ๐—ถ๐—ป๐—ฑ๐—น๐˜† ๐˜€๐—ฎ๐˜ƒ๐—ฒ ๐—ถ๐˜ & ๐˜€๐—ต๐—ฎ๐—ฟ๐—ฒ ๐—ถ๐˜ ๐Ÿ™Œ๐Ÿ’ฏ

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โ€œAgile DevOps Methodology: Bridging the Gap for Efficient Software Developmentโ€

Agile DevOps methodology represents a paradigm shift in software development, fostering collaboration and continuous improvement.

Agile: Iterative Flexibility:

Agile methodologies, such as Scrum and Kanban, prioritize flexibility and customer feedback. The iterative nature of Agile development enables teams to deliver incremental improvements in short cycles. This ensures that software aligns with evolving user needs and market dynamics. Agileโ€™s emphasis on cross-functional teams enhances communication and collaboration, breaking down traditional silos that can hinder progress.

DevOps: Automation and Collaboration:

DevOps, a portmanteau of Development and Operations, addresses the collaboration challenges between these two crucial aspects of software delivery. It promotes a culture of automation, continuous integration, and continuous delivery (CI/CD). Automation streamlines repetitive tasks, reducing errors and enabling faster, more reliable releases. By fostering collaboration between development and operations teams, DevOps ensures a smoother transition from code development to deployment and maintenance.

Key Principles of Agile DevOps Methodology:

1. Collaboration: Agile DevOps promotes cross-functional collaboration, ensuring that development, testing, and operations teams work seamlessly together. This shared responsibility streamlines communication and reduces bottlenecks.

2. Automation: DevOps' emphasis on automation is integrated into the Agile DevOps methodology. Automated testing, deployment, and monitoring processes enhance efficiency, reduce manual errors, and accelerate time to market.

3. Continuous Integration and Deployment (CI/CD): Agile DevOps relies on CI/CD pipelines to automate the integration and deployment of code changes. This results in faster, more reliable releases, with the added benefit of rapid feedback loops.

4. Adaptability: The iterative nature of Agile allows teams to adapt to changing requirements, while DevOps ensures that these changes are seamlessly integrated and deployed. This adaptability is crucial in dynamic business environments.

Benefits of Agile DevOps Methodology:

1. Faster Time to Market: By combining Agile's iterative approach with DevOps' automation, organizations can significantly reduce the time it takes to develop, test, and release software.

2. Improved Collaboration: Agile DevOps breaks down silos between development and operations, fostering a culture of collaboration. This ensures that everyone involved in the software delivery process is on the same page, leading to better outcomes.

3. Enhanced Quality: Automated testing and continuous integration in Agile DevOps result in higher-quality software. Bugs are identified and addressed early in the development process, reducing the likelihood of issues in production.
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Course Content and Topics:

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Cloud Practitioner
Developer
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Cloud9 Practical
CodeBuild
CodeBuild Practical
CodeCommit
CodeCommit Practical
CodeDeploy
CodePipeline
CodePipeline Practical
CodeStar
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3-AWS CLI Command Line Interface:
AWS CLI Command Reference
AWS CLI Installation & Configuring with IAM User Credential
4-AWS Lambda:
Introduction of AWS Lambda Serverless Computing
Creating a Serverless Microservice

5-Understanding Lambda function:
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Handler function
Event Object
Context Object
Callback function
Working with Logs
Creating Lambda Function with ZIP files
6-Project-1 Lambda function with API Gateway:
Creating a Lambda function
Connecting with API Gateway
Passing Information through API Gateway
7-Project-2 Lambda function with DynamoDB:
Writing data to DynamoDB
Reading data from DynamoDB
8-Cloud Database:
Database Intro
Database RDS
Create an Instance RDS
Elasticache
Create an Instance Elasticache
DynamoDB
Neptune
Create an Instance Neptune
Database Redshift
Create an Instance Redshift
9-AWS Storage:
Storage S3
Storage Glacier
Storage EBS
Storage EFS
Storage Gateway
10-Compute:
Learning Amazon Elastic Compute Cloud (EC2)
Learning Amazon Elastic Beanstalk
Beanstalk Practical
Batch Practical
Elastic Container Service(ECS)
ECS Practical
EKS Practical
Virtual Private Cloud (VPC)
Lightsail
11-AWS Management Tools:
Autoscaling
Practical-Autoscaling
Cloudformation
Practical-Cloudformation
Cloudtrail
Practical-Cloudtrail
Config
Practical-Config
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DSA
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Github
HTML
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JavaScript
JQuery
MicroFrontend
MangoDB
Nodejs
Object Oriented vs Functional Programming
Oops concepts
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Reactjs
Roadmaps
RXJS
Serverside
SQL
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