Dear Sai Kumar, Yes, you can use your personal CPU as a server as long as you have the following: 1. Public Static IP (costs $6 per month) 2. High-Speed Business Internet not regular internet (usually costs double the price) After factoring those costs you will end up paying way more for hosting your websites. You will be much better off hosting your static sites in AWS/Firebase/Azure/GCP/GitHubSites. Now you see why the world is mad about Cloud hosting services :) Good question. Give it a try to become a hosting service provider (it is worth learning) and then you will appreciate could services much better. lol
I'm in tamilnadu.. Ikkada dhingurinchi search chesthunte video okkatti kooda dhorakkattam ledhu.. Telugu'ani types chesi choosinakea mi video got it.. Tnx for this info & uploading Tnk u sis..👍👍👌
We are working on it. We will make a series on Full Stack Development. Where we go over an example and show how to deploy on AWS and describe why we use each component of AWS. Thanks for your interest please stay tuned. :)
CCNA is a beginner certification to get you introduced to the path of becoming a Professional Network Engineer. Much before the could era and even to date most of the companies still have their own infrastructure/servers for various reasons (cost of migration, lack of subject matter experts to migrate, the risks associated to migration, etc) A network engineer provisions servers and various infrastructure needs for a company to develop its various IT services both within and outside the organization. CCNA covers topics like switches, routers, IP, and firewalls. Network Engineering is a different career path compared to a Software Developer Path. Usually, CCNA is required but not sufficient to get you a good job. We might not be able to cover more about CCNA at least for some time in this channel. But thanks for your interest and hope we were able to help you so far.
Thank you so much for replying to my question But i want to develop in servers side I am completed degree and I want to develop in networking side but no idea for anything Please give me some idea what is ever green development course is
@@madduyaswanth1945 depends on your passion. But Java/AWS/Angular or Python/AWS or React/Angular/NodeJS/AWS or Angular/.Net/Azure React/Scala are kind of hot skills and will remain so for another 10 years for sure. AWS alone will last for another 15 years as a very hot skill. We ourselves are working every day to get better at AWS/Firebase/GCP clouds. Hope that helps
Hello ma'am ..mee way of teaching chaala baaga arthamavthundi .mee dhwaara nen oka complete course nerchukovali anukuntunnanu..what is the fee structure ?
Dear, We are working on more videos. Stay tuned. If I could complete the videos I will publish them here. Money is really not what motivates us. There is much bigger vision and hopefully it will reveal itself in some time
Cloud does not have fixed Costs. Cloud is like raw material. You can make anything out of that and it will cost accordingly. The whole point of Solutions Architect is to figure out Cost, Security, and Availablity.
Dear Sister, Actually I'm from Non-IT field, can you suggest me which one is more growth in future Cloud computing or Devops or Software testing.....??
Database - A software which helps in Data Storage Server - Is a physical machine on which software's like Database, Application Servers, Web Servers etc can be installed
### What are Modules? In programming, a **module** is a self-contained, reusable block of code that performs a specific function or a group of related functions. Modules help organize code, making it more maintainable, scalable, and easier to manage. They are often used to divide large codebases into smaller, manageable parts that can be developed, tested, and maintained independently. Modules are commonly used in many programming languages, including JavaScript, Python, Java, and more. A module can contain functions, classes, variables, and other code that is related to a specific functionality or feature. ### Types of Modules 1. **Built-in Modules**: Many programming languages come with built-in modules that provide pre-defined functionality. For example: - **Node.js** has built-in modules like `fs` (for file system operations), `http` (for creating web servers), and `path` (for handling file paths). - **Python** includes built-in modules like `math`, `os`, and `datetime`. 2. **User-defined Modules**: These are custom modules that a programmer creates to organize code according to the application's specific needs. For example, you might create a `user` module to handle user authentication, a `payment` module to process payments, and a `product` module for managing products. 3. **Third-party Modules**: These are external libraries or packages that you can include in your project to extend its functionality. For example, `Lodash` for utility functions in JavaScript, or `requests` for making HTTP requests in Python. ### How Modules are Useful 1. **Code Reusability**: Modules allow you to write code that can be reused in multiple parts of the application or across different projects. Once a module is created, it can be imported and used wherever needed, reducing code duplication. 2. **Separation of Concerns**: By organizing code into modules, you separate different parts of the application’s functionality. This makes the code easier to understand, test, and maintain. For example, a `login` module handles only authentication, while a `database` module handles data-related tasks. 3. **Maintainability**: Large codebases are difficult to manage. Dividing them into modules makes the code more modular and easier to update. When changes are required, you can work on individual modules rather than the entire application. 4. **Encapsulation**: Modules can encapsulate specific functionality. This means internal details (like private variables or functions) are hidden from the outside world, and only the necessary parts of the module are exposed. This reduces the risk of unintended interactions between different parts of the application. 5. **Scalability**: When your project grows, you may need to add new features. With modular code, you can easily add new modules for specific features, rather than modifying a monolithic block of code. 6. **Testing and Debugging**: Because modules are self-contained, they can be tested individually. This makes unit testing more effective, as you can test small parts of the code (modules) in isolation without worrying about the rest of the application. 7. **Collaboration**: In team-based development, different developers can work on different modules independently. This parallel development speeds up the development process and makes collaboration more efficient. ### Examples of Modules in Popular Languages #### 1. **JavaScript (Node.js)** In JavaScript (specifically Node.js), modules are used to encapsulate functionalities, and they are typically written as separate files. You can use the `require()` function to include and use a module in your code. **Example**: Let's create a simple module for calculating the area of a rectangle. **rectangle.js** (Module): ```javascript function calculateArea(length, width) { return length * width; } module.exports = { calculateArea }; ``` **app.js** (Main Application): ```javascript const rectangle = require('./rectangle'); const area = rectangle.calculateArea(5, 10); console.log(`The area of the rectangle is: ${area}`); ``` Here, `rectangle.js` is the module that exports the `calculateArea` function, and `app.js` imports it to use the functionality. #### 2. **Python** In Python, modules are simply Python files (with a `.py` extension). You can import a module using the `import` keyword. **Example**: **rectangle.py** (Module): ```python def calculate_area(length, width): return length * width ``` **main.py** (Main Application): ```python import rectangle area = rectangle.calculate_area(5, 10) print(f"The area of the rectangle is: {area}") ``` Here, `rectangle.py` is the module that contains the `calculate_area` function, and `main.py` imports the module to calculate the area. #### 3. **Java** In Java, modules are typically implemented as classes within packages. You can define a class with specific functionality and use it by importing the class into other parts of the application. **Example**: **Rectangle.java** (Module): ```java public class Rectangle { public static int calculateArea(int length, int width) { return length * width; } } ``` **Main.java** (Main Application): ```java public class Main { public static void main(String[] args) { int area = Rectangle.calculateArea(5, 10); System.out.println("The area of the rectangle is: " + area); } } ``` Here, `Rectangle.java` is the module that provides the `calculateArea` method, and `Main.java` uses that method. ### Summary A **module** is a self-contained unit of code that is designed to perform a specific task or functionality. It is useful for: - **Reusability**: You can reuse code across different projects or parts of an application. - **Maintainability**: It helps in organizing code in a way that makes it easier to manage and update. - **Separation of Concerns**: Modules allow you to divide your application into smaller, more manageable sections. - **Testing and Debugging**: Modules are easier to test and debug because they focus on specific tasks. - **Collaboration**: Developers can work on different modules simultaneously, enhancing teamwork and speeding up development. Using modules helps you build more structured, maintainable, and scalable applications.
Hi Satish, good question! But, answer really depends on what kind information you are storing and how often do you need to access it. Also it depends on who would be accessing it (API or human) and from which region.
### What is a Domain? In the context of technology, **domain** can refer to different things depending on the context. Below are the primary meanings of "domain" in various contexts: ### 1. **Domain Name (in Web Development and Networking)** - **Definition**: A **domain name** is a human-readable address used to identify a website or service on the internet. It serves as the address you type into a browser's URL bar to visit a website. For example, in the URL `www.example.com`, the domain name is `example.com`. - **Structure**: A domain name typically consists of two parts: - **Second-level domain (SLD)**: The part of the domain name that comes before the top-level domain (TLD), like `example` in `example.com`. - **Top-level domain (TLD)**: The part that comes after the dot (`.`), like `.com`, `.org`, `.net`, or country-specific TLDs like `.uk` or `.in`. - **Example**: In `www.google.com`, `google` is the second-level domain and `.com` is the top-level domain. - **Domain Registration**: A domain name is registered through a domain registrar. The domain must be unique and is leased by the owner for a certain period (typically 1 year or more). ### 2. **Domain (in Computing/Networking)** - **Definition**: A **domain** in computing can refer to a specific administrative area within a network or a system that is under a common set of rules or policies. - **Windows Domain**: In the context of Microsoft networks, a domain refers to a group of computers and devices that share a central directory (such as **Active Directory**) for managing user permissions, security policies, and resources. - **Example**: In a company network, all computers within the domain `company.local` are part of the same administrative group. - **Use**: This helps system administrators to manage multiple systems efficiently by applying group policies, permissions, and configurations across all machines within the domain. ### 3. **Domain (in Mathematics and Programming)** - **Definition**: In mathematics and computer science, a domain often refers to the set of possible values or inputs for a function or variable. - **In Functions**: The domain of a function refers to all possible input values that the function can accept. - **Example**: In a function like `f(x) = x²`, the domain could be all real numbers (denoted as `R`), meaning any real number can be input into the function. - **In Programming**: A domain can refer to the area of knowledge or activity around which the logic of a program is focused. For example, a "domain model" might refer to how a particular set of real-world concepts is represented in code (e.g., users, products, orders in an e-commerce application). ### 4. **Domain (in Science and Philosophy)** - **Definition**: In various academic fields, a domain may refer to a specific area of knowledge or expertise. - **Example**: In biology, the highest-level classification of life is divided into **domains** like **Bacteria**, **Archaea**, and **Eukarya**. ### 5. **Domain (in Machine Learning and AI)** - **Definition**: In machine learning, a **domain** refers to the specific problem space or area of application for which a model is designed. A domain can influence the type of data used, the features of the data, and the tasks or outcomes the model aims to predict. - **Example**: In the healthcare domain, a machine learning model might predict patient outcomes based on medical records, while in the finance domain, the model might predict stock prices. ### 6. **Domain (in Business)** - **Definition**: In business and strategic planning, **domain** refers to a specific market or field in which a company operates. - **Example**: The **domain** of a company could be software development, manufacturing, retail, or finance. --- ### Summary of Different Uses of "Domain" | Context | Definition | Example | |------------------------------------|------------------------------------------------------------------|-----------------------------------------------| | **Domain Name (Web)** | A human-readable address used to access a website. | `www.example.com` | | **Domain (Networking)** | A group of computers or devices sharing a common directory. | `company.local` | | **Domain (Mathematics/Programming)**| Set of allowable inputs for a function or area of programming. | `f(x) = x²`, Domain of x is all real numbers. | | **Domain (Business)** | A specific market or field of operation. | Software development, finance, healthcare. | | **Domain (Machine Learning)** | A specific problem area where models are applied. | Healthcare, finance, marketing. | In conclusion, the term **domain** has different meanings across various contexts, from internet addresses to specialized fields of knowledge, network administration, or programming.
### What is Deployment? **Deployment** refers to the process of releasing, installing, configuring, and enabling a software application or system to run on a target environment where users can access and interact with it. This process takes the application from a development or staging environment and moves it into a live production environment, where it is available to end users. In simple terms, deployment is the final step in the software development lifecycle (SDLC) where the software is made publicly available for use. ### Key Aspects of Deployment: 1. **Build**: The first step of deployment is to package the application (often referred to as the build). The source code, resources, libraries, and other assets are compiled or bundled together into a deployable unit (e.g., executable files, Docker images, etc.). 2. **Testing**: Before deploying to the production environment, testing is done in staging or QA environments to ensure that the application works as expected and is free of critical bugs. 3. **Configuration**: The application may require specific configurations to run properly in different environments. These configurations could include database credentials, API keys, or environment variables that ensure the application operates as expected in production. 4. **Installation**: The process of installing the application on the target system or server, which could be a physical machine, virtual machine, or a cloud server. 5. **Release**: The process of making the application available to users, usually via a web server, app store, or distribution system. 6. **Monitoring & Maintenance**: After deployment, monitoring the application for performance issues, bugs, and user feedback is crucial. Maintenance and updates are applied as needed. ### Types of Deployment 1. **Manual Deployment**: In this approach, a developer or operations team manually installs or uploads the application to the target system. This can be time-consuming and error-prone but is often used in smaller projects or simpler systems. 2. **Automated Deployment**: Using automated scripts or tools, deployment is streamlined, and the process is repeated in a consistent manner. Tools like **Jenkins**, **GitLab CI/CD**, **Docker**, and **Kubernetes** are commonly used for automating deployment. 3. **Continuous Deployment (CD)**: Continuous Deployment is an approach where every change made to the codebase is automatically tested and deployed to production without human intervention. This is common in agile and DevOps environments, allowing for rapid iterations and feedback. 4. **Cloud Deployment**: Deploying software to cloud platforms (such as **AWS**, **Azure**, or **Google Cloud**) allows you to scale applications easily and access a variety of services like databases, storage, and networking. 5. **On-Premise Deployment**: In contrast to cloud deployment, on-premise deployment involves installing the application on physical servers that the organization owns and manages. 6. **Hybrid Deployment**: A combination of both cloud and on-premise deployments, where certain parts of the application are hosted on the cloud and others on local servers. ### Deployment Phases 1. **Development Environment**: Where the application is created and tested in a local environment by developers. This is usually on their machines. 2. **Staging Environment**: A replica of the production environment used for final testing and user acceptance. Staging allows testing in an environment that mimics production to catch any issues before going live. 3. **Production Environment**: The live environment where the application is made available to end users. It needs to be stable, secure, and optimized for performance. ### Deployment Steps 1. **Prepare the Code**: - Ensure that the application is complete and has passed all tests. - Merge code from development or staging branches into the main branch (if using version control systems like Git). 2. **Build the Application**: - If necessary, compile or package the code into a deployable unit (e.g., .zip, .tar, Docker container, WAR file, etc.). 3. **Transfer to Target System**: - Move the application to the server or cloud environment. - For web applications, this could involve uploading files to a web server. 4. **Configure the Application**: - Set up configuration files, environment variables, database connections, and other environment-specific settings. - For instance, in web apps, configure the web server, application server, and databases. 5. **Run the Application**: - Start the application in the production environment. For web applications, this typically means configuring and starting a web server (e.g., Apache, Nginx, or using cloud services). 6. **Test in Production**: - Run smoke tests or basic health checks to verify that the application is functioning as expected in the live environment. 7. **Monitor and Scale**: - Monitor the application to ensure it’s working well and troubleshoot any issues. - Scale resources up or down as needed (especially in cloud-based applications). ### Deployment Tools Several tools help with automating the deployment process and managing the deployment pipeline: 1. **CI/CD Tools**: - **Jenkins**: Popular open-source automation server for continuous integration and continuous delivery. - **GitLab CI**: A robust CI/CD pipeline tool integrated with GitLab. - **CircleCI**: Provides automated testing and deployment of code. 2. **Configuration Management Tools**: - **Ansible**: Automates IT infrastructure management and deployment. - **Chef**: Manages infrastructure and application deployment. - **Puppet**: Automates software deployment and infrastructure management. 3. **Containerization & Orchestration Tools**: - **Docker**: Helps create, deploy, and run applications in containers. - **Kubernetes**: Manages containerized applications in a clustered environment, enabling scaling and high availability. 4. **Cloud Services**: - **AWS Elastic Beanstalk**: Automatically handles the deployment of applications in the AWS cloud. - **Heroku**: A platform-as-a-service (PaaS) for deploying and scaling web applications. ### Benefits of Deployment: 1. **Efficient Delivery**: Deployment ensures that the software is available to users as quickly as possible. Automating the process speeds up the release cycle. 2. **Consistency**: By following a well-defined deployment pipeline, you ensure that the application behaves the same way in production as it did in the testing environment. 3. **Scalability**: Cloud deployment allows for on-demand resource scaling, so the application can handle increased traffic without manual intervention. 4. **Reduced Risk**: Automated deployment reduces human error and the chances of deployment issues, improving stability. 5. **Faster Feedback**: In continuous deployment environments, developers can get rapid feedback on code changes, allowing for faster improvements and bug fixes. ### Conclusion **Deployment** is the process of making software available to users by moving it from a development environment to a live production environment. It involves several stages, such as building, testing, configuring, and installing the application, followed by monitoring and maintenance. With tools and automation, the deployment process becomes more efficient and reliable, helping to ensure that software reaches users in a timely and stable manner.
Can we use our personal CPU as server for small static website
Dear Sai Kumar,
Yes, you can use your personal CPU as a server as long as you have the following:
1. Public Static IP (costs $6 per month)
2. High-Speed Business Internet not regular internet (usually costs double the price)
After factoring those costs you will end up paying way more for hosting your websites. You will be much better off hosting your static sites in AWS/Firebase/Azure/GCP/GitHubSites.
Now you see why the world is mad about Cloud hosting services :)
Good question. Give it a try to become a hosting service provider (it is worth learning) and then you will appreciate could services much better. lol
@Reyansh Kyler we need to pay $13 to get the password
its clear cut explnation for servers and cloud thanq so much... keep going
Thank you :)
Information icchina teeru super👌👌👌👌👌👌👌👌👌👌
Thank you
Great info! Chaala baaga chepparu! Thanks 😊👍🏻
Thank you 😊
I'm in tamilnadu..
Ikkada dhingurinchi search chesthunte video okkatti kooda dhorakkattam ledhu..
Telugu'ani types chesi choosinakea mi video got it..
Tnx for this info & uploading
Tnk u sis..👍👍👌
Soon we will make video series on AWS. Please stay tuned.
Wow! Mind blowing.
Super Explanation.👍👍👍🙏🙏🙏🙏🌹🌹🌹👌👌👌👌👌👌👌
Thanks a lot
Excellent explanation, చిత్తకకొట్టారు..👌👌
Thank you! Please share with friends and family and help us expand
very helpful and good explinatioin thank you now i have good clarity...
Glad it helped
Neat ga any body can understand about cloud now 😊
Thank you :)
Make video on azure
medma super ga cheptunnaru.
Glad you liked them.
I got some information by seeting this video.. very useful video
Glad to hear that
Superb Explanation 👍
Glad you liked it
Usefull information and easy to understand
Glad you liked it
Very informative, Appreciated
Thanks for the kind words
Chala superb ga cheppaaru...
Thank you :)
Clear explanation
Thank you
Awesome explanation 👌 Good clarification.... with examples
Thank you 🙂
Thank you 😀
Nice explanation u got one subscriber
Thank you
Clean explanation
Glad you think so!
Terrific explanation
Thank you
thank you mam, clear ga chepperu.
Thank you Abhi
Kk one thing I will tell u ip address is a software product It will change automatic everyone used to Gateway servers
Perfect explanation
Thank you please share with Family and Friends.
Very Good information to 2G elders .stepby step operating చూపించ గలరు pl.
Ur video is really nice👍
Thanks a lot 😊
Good explanation
Thank you
You're welcome
Nice video sree👍
Thank you Lakshmi :)
Really superb explanation
Thank you Vasanthi for such nice words! You made my day!
such an useful information keep posting suach a valuble education
great job
Thanks a lot. We will do our best. Thanks for your support.
Awesome job sister, explained perfectly 👏
Thank you so much 🙂
👌👏good job andi
thank you
explain good info in simple way.. thanks ZZZ..!!!
Thank you :)
Well thanks for providing such clear knowledge about servers and and cloud
Thank you
Thanks very much❤❤❤❤
You're welcome
nicely explained thanks
You are welcome
Super explanation
Glad you liked it, Thank you Padma
very very useful information, thanks a lot.
Thank you, Vishnu. Please share this channel info with your friends as well. Let's build a big community
medam me vieios next cloud vedios kavali medam .chala baga cheptunnru
Working on AWS videos. Will post it thank you!
EXCELLENT
Thank you
Your lighting on your face is very glowing
And very informative video 👏👏👏
Thank you so much 😊
nice explanation sister
Thank you 🙂
Good...... explain & information, tq mam.
Keep watching :)
Thanks for UR video
Welcome
superb explanation
Thank you. Subscribe and stay connected. More to come.
Really nice video madam, pls make overview of all Aws services like EC2,iam,S3 etc what is what & uses
We are working on it. We will make a series on Full Stack Development. Where we go over an example and show how to deploy on AWS and describe why we use each component of AWS.
Thanks for your interest please stay tuned. :)
Excellent explanation 👌👌
Thank you 🙂
Excellent
Thank you so much 😀
Nice explanation
Thank you :)
TQ very much
Thank you!
Your explanation was awesome👏
But komchak slow ga chepte manchiehi
Mari fast ga cheptunnaru
Sorry for that. Sure will keep that in mind
Good explanation and in description also you had to provide content, time duration also thank you very much mam
Keep going👍 all the best
Most welcome 😊, I will add descriptions
Perfect explanation 👌
Thank you :)
Very nice content
Thank you
Thank you
You're welcome Murali!
Good explanation....
Thanks and welcome
good explanation
i want about ccna
what is ccna and what they do
CCNA is a beginner certification to get you introduced to the path of becoming a Professional Network Engineer. Much before the could era and even to date most of the companies still have their own infrastructure/servers for various reasons (cost of migration, lack of subject matter experts to migrate, the risks associated to migration, etc)
A network engineer provisions servers and various infrastructure needs for a company to develop its various IT services both within and outside the organization. CCNA covers topics like switches, routers, IP, and firewalls.
Network Engineering is a different career path compared to a Software Developer Path. Usually, CCNA is required but not sufficient to get you a good job.
We might not be able to cover more about CCNA at least for some time in this channel. But thanks for your interest and hope we were able to help you so far.
Thank you so much for replying to my question
But i want to develop in servers side
I am completed degree and I want to develop in networking side but no idea for anything
Please give me some idea what is ever green development course is
@@madduyaswanth1945 depends on your passion.
But
Java/AWS/Angular or
Python/AWS or React/Angular/NodeJS/AWS or
Angular/.Net/Azure
React/Scala
are kind of hot skills and will remain so for another 10 years for sure.
AWS alone will last for another 15 years as a very hot skill. We ourselves are working every day to get better at AWS/Firebase/GCP clouds.
Hope that helps
Hi mam
I make a decision to study data science in srm university
I don't know it was good or bad
Please tell me mam
super video. Please do videos on GCP for learning purpose and interviews
Sure, we will do more on Google Technologies like GCP, Angular, Firebase etc
AWS only amazon ki use avuthada ? ledha remaining companies ki use ha like infosys etc..,
Remaining companies ki kuda use avthundi andi
Do a video about Amazon Web Services .... please sister
No will have to create!
Hey nicely explained
Thank you so much!
Superb tq
Please let us know what Clouds are you exploring and if you like us to cover specific topics.
good info. I think points in some places have to come in some more detail...
Noted!
nice content🤩
Thank you much! Please share with your friends
@@WebMobileZ ok actually i am trying to get some detail on servers you have given that
@@gtdrona2050 Glad I was able to help!
Hello ma'am ..mee way of teaching chaala baaga arthamavthundi .mee dhwaara nen oka complete course nerchukovali anukuntunnanu..what is the fee structure ?
Dear,
We are working on more videos. Stay tuned. If I could complete the videos I will publish them here. Money is really not what motivates us. There is much bigger vision and hopefully it will reveal itself in some time
sister thanks for perfect explanation and will u privide any free cloud full tutorial
Thank you
Nice explanation.. Suggest me gd website for vMware
Super madam
Thank you very much :)
clouds technology mecha job gurinchii cheypandi
akka Could computing ki em skills undali programming kani....Tools ....? Please reply me
Could Computing is a generic term. You can be an Cloud Admin/DevOps and do as little code as possible.
Ur great
Thank you!
Thank you.😚.for easy explantion..inka India lo Google servers ekkada vunai adi kuda cheppandi.. capacity all so
Mumbai as far as I know
www.datacenterknowledge.com/google-alphabet/google-launches-its-first-cloud-data-centers-india
Hi sister aws full course cheyandi
Sree tell me about azure server and its rentel costing.
Cloud does not have fixed Costs. Cloud is like raw material. You can make anything out of that and it will cost accordingly.
The whole point of Solutions Architect is to figure out Cost, Security, and Availablity.
Cloud lo octa technology gurinchi cheppandi
Please make a video on Sql and Tableau
sure
How many days will take to learn akka...?
It's easy or not ..?
Dear Sister,
Actually I'm from Non-IT field, can you suggest me which one is more growth in future Cloud computing or Devops or Software testing.....??
DevOps might be excellent option for you. It has excellent salaries and will have good future as well.
Ma'am chala simple and clearly explained.
If is it possible could u share road map to aws
Thank you 😊, I will do it
Best hosting site
chapandi...
sure
Some more information about "AWS "
sure
Difference between database and server
Database - A software which helps in Data Storage
Server - Is a physical machine on which software's like Database, Application Servers, Web Servers etc can be installed
Cloud ante megam yena leka yedhana storage material ha madam 🤔 🤔 🤔 🤔
What are modules, how it is useful.
### What are Modules?
In programming, a **module** is a self-contained, reusable block of code that performs a specific function or a group of related functions. Modules help organize code, making it more maintainable, scalable, and easier to manage. They are often used to divide large codebases into smaller, manageable parts that can be developed, tested, and maintained independently.
Modules are commonly used in many programming languages, including JavaScript, Python, Java, and more. A module can contain functions, classes, variables, and other code that is related to a specific functionality or feature.
### Types of Modules
1. **Built-in Modules**: Many programming languages come with built-in modules that provide pre-defined functionality. For example:
- **Node.js** has built-in modules like `fs` (for file system operations), `http` (for creating web servers), and `path` (for handling file paths).
- **Python** includes built-in modules like `math`, `os`, and `datetime`.
2. **User-defined Modules**: These are custom modules that a programmer creates to organize code according to the application's specific needs. For example, you might create a `user` module to handle user authentication, a `payment` module to process payments, and a `product` module for managing products.
3. **Third-party Modules**: These are external libraries or packages that you can include in your project to extend its functionality. For example, `Lodash` for utility functions in JavaScript, or `requests` for making HTTP requests in Python.
### How Modules are Useful
1. **Code Reusability**: Modules allow you to write code that can be reused in multiple parts of the application or across different projects. Once a module is created, it can be imported and used wherever needed, reducing code duplication.
2. **Separation of Concerns**: By organizing code into modules, you separate different parts of the application’s functionality. This makes the code easier to understand, test, and maintain. For example, a `login` module handles only authentication, while a `database` module handles data-related tasks.
3. **Maintainability**: Large codebases are difficult to manage. Dividing them into modules makes the code more modular and easier to update. When changes are required, you can work on individual modules rather than the entire application.
4. **Encapsulation**: Modules can encapsulate specific functionality. This means internal details (like private variables or functions) are hidden from the outside world, and only the necessary parts of the module are exposed. This reduces the risk of unintended interactions between different parts of the application.
5. **Scalability**: When your project grows, you may need to add new features. With modular code, you can easily add new modules for specific features, rather than modifying a monolithic block of code.
6. **Testing and Debugging**: Because modules are self-contained, they can be tested individually. This makes unit testing more effective, as you can test small parts of the code (modules) in isolation without worrying about the rest of the application.
7. **Collaboration**: In team-based development, different developers can work on different modules independently. This parallel development speeds up the development process and makes collaboration more efficient.
### Examples of Modules in Popular Languages
#### 1. **JavaScript (Node.js)**
In JavaScript (specifically Node.js), modules are used to encapsulate functionalities, and they are typically written as separate files. You can use the `require()` function to include and use a module in your code.
**Example**:
Let's create a simple module for calculating the area of a rectangle.
**rectangle.js** (Module):
```javascript
function calculateArea(length, width) {
return length * width;
}
module.exports = {
calculateArea
};
```
**app.js** (Main Application):
```javascript
const rectangle = require('./rectangle');
const area = rectangle.calculateArea(5, 10);
console.log(`The area of the rectangle is: ${area}`);
```
Here, `rectangle.js` is the module that exports the `calculateArea` function, and `app.js` imports it to use the functionality.
#### 2. **Python**
In Python, modules are simply Python files (with a `.py` extension). You can import a module using the `import` keyword.
**Example**:
**rectangle.py** (Module):
```python
def calculate_area(length, width):
return length * width
```
**main.py** (Main Application):
```python
import rectangle
area = rectangle.calculate_area(5, 10)
print(f"The area of the rectangle is: {area}")
```
Here, `rectangle.py` is the module that contains the `calculate_area` function, and `main.py` imports the module to calculate the area.
#### 3. **Java**
In Java, modules are typically implemented as classes within packages. You can define a class with specific functionality and use it by importing the class into other parts of the application.
**Example**:
**Rectangle.java** (Module):
```java
public class Rectangle {
public static int calculateArea(int length, int width) {
return length * width;
}
}
```
**Main.java** (Main Application):
```java
public class Main {
public static void main(String[] args) {
int area = Rectangle.calculateArea(5, 10);
System.out.println("The area of the rectangle is: " + area);
}
}
```
Here, `Rectangle.java` is the module that provides the `calculateArea` method, and `Main.java` uses that method.
### Summary
A **module** is a self-contained unit of code that is designed to perform a specific task or functionality. It is useful for:
- **Reusability**: You can reuse code across different projects or parts of an application.
- **Maintainability**: It helps in organizing code in a way that makes it easier to manage and update.
- **Separation of Concerns**: Modules allow you to divide your application into smaller, more manageable sections.
- **Testing and Debugging**: Modules are easier to test and debug because they focus on specific tasks.
- **Collaboration**: Developers can work on different modules simultaneously, enhancing teamwork and speeding up development.
Using modules helps you build more structured, maintainable, and scalable applications.
Awsm
Thank you!
I am learning AWS course ....is that good course or not.....is that useful in future
Yes, definitely! Best course you could learn in our experince
Where u learn aws course bro
I am aslo interested on aws
Code,ci cd-deploy- qa ,staging ,production monitoring cloud storage..ee flow e2e oka sample project cheppandi pls..kanesam explain cheyandi
Working on it dear. Will soon upload those videos for AWS and GIT
Thanks
Iam interest this all topic how to learn can u plg suggest me any course is there
please comment, I will read very comment
Is cloud engineer has good future mam
Yes
Hi
Can we tell me please How to select All in One PC
I guess you meant RACK server. It is very expensive and not worth setting up with. AWS Lambda is better choise for your business.
miru aws full coarse upload chesara andi u tube lo
Sure Sri Kanth, running tight on time schedules as of now. Will upload them soon!
Hii mam...
500gb storage kosam startup ki e server ni vadali
Hi Satish, good question! But, answer really depends on what kind information you are storing and how often do you need to access it. Also it depends on who would be accessing it (API or human) and from which region.
Database lo kadha data store ayyedhi 😂😂😂...chala baga cheppav akka 😂😂😂
Thank you
Madam please provide Oracle cloud full tutorial
Akka please c language gurchie video chaiva pls
sure
What is domain
### What is a Domain?
In the context of technology, **domain** can refer to different things depending on the context. Below are the primary meanings of "domain" in various contexts:
### 1. **Domain Name (in Web Development and Networking)**
- **Definition**: A **domain name** is a human-readable address used to identify a website or service on the internet. It serves as the address you type into a browser's URL bar to visit a website. For example, in the URL `www.example.com`, the domain name is `example.com`.
- **Structure**: A domain name typically consists of two parts:
- **Second-level domain (SLD)**: The part of the domain name that comes before the top-level domain (TLD), like `example` in `example.com`.
- **Top-level domain (TLD)**: The part that comes after the dot (`.`), like `.com`, `.org`, `.net`, or country-specific TLDs like `.uk` or `.in`.
- **Example**: In `www.google.com`, `google` is the second-level domain and `.com` is the top-level domain.
- **Domain Registration**: A domain name is registered through a domain registrar. The domain must be unique and is leased by the owner for a certain period (typically 1 year or more).
### 2. **Domain (in Computing/Networking)**
- **Definition**: A **domain** in computing can refer to a specific administrative area within a network or a system that is under a common set of rules or policies.
- **Windows Domain**: In the context of Microsoft networks, a domain refers to a group of computers and devices that share a central directory (such as **Active Directory**) for managing user permissions, security policies, and resources.
- **Example**: In a company network, all computers within the domain `company.local` are part of the same administrative group.
- **Use**: This helps system administrators to manage multiple systems efficiently by applying group policies, permissions, and configurations across all machines within the domain.
### 3. **Domain (in Mathematics and Programming)**
- **Definition**: In mathematics and computer science, a domain often refers to the set of possible values or inputs for a function or variable.
- **In Functions**: The domain of a function refers to all possible input values that the function can accept.
- **Example**: In a function like `f(x) = x²`, the domain could be all real numbers (denoted as `R`), meaning any real number can be input into the function.
- **In Programming**: A domain can refer to the area of knowledge or activity around which the logic of a program is focused. For example, a "domain model" might refer to how a particular set of real-world concepts is represented in code (e.g., users, products, orders in an e-commerce application).
### 4. **Domain (in Science and Philosophy)**
- **Definition**: In various academic fields, a domain may refer to a specific area of knowledge or expertise.
- **Example**: In biology, the highest-level classification of life is divided into **domains** like **Bacteria**, **Archaea**, and **Eukarya**.
### 5. **Domain (in Machine Learning and AI)**
- **Definition**: In machine learning, a **domain** refers to the specific problem space or area of application for which a model is designed. A domain can influence the type of data used, the features of the data, and the tasks or outcomes the model aims to predict.
- **Example**: In the healthcare domain, a machine learning model might predict patient outcomes based on medical records, while in the finance domain, the model might predict stock prices.
### 6. **Domain (in Business)**
- **Definition**: In business and strategic planning, **domain** refers to a specific market or field in which a company operates.
- **Example**: The **domain** of a company could be software development, manufacturing, retail, or finance.
---
### Summary of Different Uses of "Domain"
| Context | Definition | Example |
|------------------------------------|------------------------------------------------------------------|-----------------------------------------------|
| **Domain Name (Web)** | A human-readable address used to access a website. | `www.example.com` |
| **Domain (Networking)** | A group of computers or devices sharing a common directory. | `company.local` |
| **Domain (Mathematics/Programming)**| Set of allowable inputs for a function or area of programming. | `f(x) = x²`, Domain of x is all real numbers. |
| **Domain (Business)** | A specific market or field of operation. | Software development, finance, healthcare. |
| **Domain (Machine Learning)** | A specific problem area where models are applied. | Healthcare, finance, marketing. |
In conclusion, the term **domain** has different meanings across various contexts, from internet addresses to specialized fields of knowledge, network administration, or programming.
Iam b.tech 2019 passedout can i elgible this course madam
Yes
And job role and responsibility please
We will ask our friends who are into CCNA to come online and talk in this channel. Please stay tuned.
What is deployment
### What is Deployment?
**Deployment** refers to the process of releasing, installing, configuring, and enabling a software application or system to run on a target environment where users can access and interact with it. This process takes the application from a development or staging environment and moves it into a live production environment, where it is available to end users.
In simple terms, deployment is the final step in the software development lifecycle (SDLC) where the software is made publicly available for use.
### Key Aspects of Deployment:
1. **Build**: The first step of deployment is to package the application (often referred to as the build). The source code, resources, libraries, and other assets are compiled or bundled together into a deployable unit (e.g., executable files, Docker images, etc.).
2. **Testing**: Before deploying to the production environment, testing is done in staging or QA environments to ensure that the application works as expected and is free of critical bugs.
3. **Configuration**: The application may require specific configurations to run properly in different environments. These configurations could include database credentials, API keys, or environment variables that ensure the application operates as expected in production.
4. **Installation**: The process of installing the application on the target system or server, which could be a physical machine, virtual machine, or a cloud server.
5. **Release**: The process of making the application available to users, usually via a web server, app store, or distribution system.
6. **Monitoring & Maintenance**: After deployment, monitoring the application for performance issues, bugs, and user feedback is crucial. Maintenance and updates are applied as needed.
### Types of Deployment
1. **Manual Deployment**: In this approach, a developer or operations team manually installs or uploads the application to the target system. This can be time-consuming and error-prone but is often used in smaller projects or simpler systems.
2. **Automated Deployment**: Using automated scripts or tools, deployment is streamlined, and the process is repeated in a consistent manner. Tools like **Jenkins**, **GitLab CI/CD**, **Docker**, and **Kubernetes** are commonly used for automating deployment.
3. **Continuous Deployment (CD)**: Continuous Deployment is an approach where every change made to the codebase is automatically tested and deployed to production without human intervention. This is common in agile and DevOps environments, allowing for rapid iterations and feedback.
4. **Cloud Deployment**: Deploying software to cloud platforms (such as **AWS**, **Azure**, or **Google Cloud**) allows you to scale applications easily and access a variety of services like databases, storage, and networking.
5. **On-Premise Deployment**: In contrast to cloud deployment, on-premise deployment involves installing the application on physical servers that the organization owns and manages.
6. **Hybrid Deployment**: A combination of both cloud and on-premise deployments, where certain parts of the application are hosted on the cloud and others on local servers.
### Deployment Phases
1. **Development Environment**: Where the application is created and tested in a local environment by developers. This is usually on their machines.
2. **Staging Environment**: A replica of the production environment used for final testing and user acceptance. Staging allows testing in an environment that mimics production to catch any issues before going live.
3. **Production Environment**: The live environment where the application is made available to end users. It needs to be stable, secure, and optimized for performance.
### Deployment Steps
1. **Prepare the Code**:
- Ensure that the application is complete and has passed all tests.
- Merge code from development or staging branches into the main branch (if using version control systems like Git).
2. **Build the Application**:
- If necessary, compile or package the code into a deployable unit (e.g., .zip, .tar, Docker container, WAR file, etc.).
3. **Transfer to Target System**:
- Move the application to the server or cloud environment.
- For web applications, this could involve uploading files to a web server.
4. **Configure the Application**:
- Set up configuration files, environment variables, database connections, and other environment-specific settings.
- For instance, in web apps, configure the web server, application server, and databases.
5. **Run the Application**:
- Start the application in the production environment. For web applications, this typically means configuring and starting a web server (e.g., Apache, Nginx, or using cloud services).
6. **Test in Production**:
- Run smoke tests or basic health checks to verify that the application is functioning as expected in the live environment.
7. **Monitor and Scale**:
- Monitor the application to ensure it’s working well and troubleshoot any issues.
- Scale resources up or down as needed (especially in cloud-based applications).
### Deployment Tools
Several tools help with automating the deployment process and managing the deployment pipeline:
1. **CI/CD Tools**:
- **Jenkins**: Popular open-source automation server for continuous integration and continuous delivery.
- **GitLab CI**: A robust CI/CD pipeline tool integrated with GitLab.
- **CircleCI**: Provides automated testing and deployment of code.
2. **Configuration Management Tools**:
- **Ansible**: Automates IT infrastructure management and deployment.
- **Chef**: Manages infrastructure and application deployment.
- **Puppet**: Automates software deployment and infrastructure management.
3. **Containerization & Orchestration Tools**:
- **Docker**: Helps create, deploy, and run applications in containers.
- **Kubernetes**: Manages containerized applications in a clustered environment, enabling scaling and high availability.
4. **Cloud Services**:
- **AWS Elastic Beanstalk**: Automatically handles the deployment of applications in the AWS cloud.
- **Heroku**: A platform-as-a-service (PaaS) for deploying and scaling web applications.
### Benefits of Deployment:
1. **Efficient Delivery**: Deployment ensures that the software is available to users as quickly as possible. Automating the process speeds up the release cycle.
2. **Consistency**: By following a well-defined deployment pipeline, you ensure that the application behaves the same way in production as it did in the testing environment.
3. **Scalability**: Cloud deployment allows for on-demand resource scaling, so the application can handle increased traffic without manual intervention.
4. **Reduced Risk**: Automated deployment reduces human error and the chances of deployment issues, improving stability.
5. **Faster Feedback**: In continuous deployment environments, developers can get rapid feedback on code changes, allowing for faster improvements and bug fixes.
### Conclusion
**Deployment** is the process of making software available to users by moving it from a development environment to a live production environment. It involves several stages, such as building, testing, configuring, and installing the application, followed by monitoring and maintenance. With tools and automation, the deployment process becomes more efficient and reliable, helping to ensure that software reaches users in a timely and stable manner.
what is ssd?
SSD -- Solid State Drive.
Do aws tutorials plz
Sure