Introduction

Docker components are the fundamental building blocks of Docker, a platform for building, running, and managing containerized applications. These components work together to provide a consistent and efficient way to develop and deploy applications across different environments.

The components in Docker are categorized into two groups:

• Basic
• Advanced

Basic Docker Components:

1. Docker Client: The Docker client is a command-line tool that allows users to interact with the Docker daemon and manage Docker objects, such as images, containers, and volumes. It provides a user-friendly interface for executing Docker commands and managing Docker environments.
2. Docker Daemon: The Docker daemon, also known as the Docker engine, is the backend service that manages Docker containers. It listens for instructions from the Docker client and executes them, creating, running, and managing containers according to the user’s requests.
3. Docker Image: A Docker image is a read-only template that contains the instructions for creating a Docker container. It includes the operating system, application code, dependencies, and configuration files necessary to run the application.
4. Docker Container: A Docker container is a running instance of a Docker image. It is an isolated and self-contained environment that packages the application and its dependencies, allowing it to run consistently across different environments.
5. Docker Registry: A Docker registry is a centralized location for storing and sharing Docker images. It allows users to pull and push images to make them available for use in different environments.
6. Docker Networking: Docker networking facilitates container communication and comprises five primary network drivers described below.

• None: Disabling the networking system prevents container connectivity with others.
• Bridge: This default driver links multiple containers to the same Docker host.
• Host: For scenarios where container-host isolation isn’t needed, the host network driver removes this isolation.
• Overlay: The overlay network driver enables communication among various swarm services across different hosts.
• macvlan: By assigning a MAC address and directing traffic through it, the macvlan driver makes a container appear as a physical device.

Advanced Docker Components:

• Docker Compose: Docker Compose is a tool for defining and running multi-container Docker applications. It allows users to define the services that make up an application, their dependencies, and how they should be connected together.
• Docker Swarm: Docker Swarm is a clustering tool for managing multiple Docker hosts as a single swarm. It allows users to deploy and manage applications across multiple hosts, providing scalability and fault tolerance.
• Docker Buildx: Docker Buildx is a tool for building Docker images. It provides advanced features for building images, such as support for multi-stage builds, caching, and parallel builds.
• Docker Content Trust: Docker Content Trust is a security feature that allows users to verify the integrity and authenticity of Docker images. It uses cryptographic signatures to ensure that images have not been tampered with.
• Docker Desktop: Docker Desktop is a bundled Docker environment for macOS, Windows, and Linux. It includes the Docker client, daemon, and other tools, making it easy to get started with Docker on local machines.

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What is angular ?

Angular is a popular open-source front-end web application framework developed and maintained by Google. It is primarily used for building dynamic single-page applications (SPAs). that are dynamic, interactive, and responsive.

What is top use cases of angular?

Some of the top use cases of Angular include:

1. Web Application Development: Angular is highly suitable for building complex web applications with rich user interfaces. It offers a wide range of tools and libraries that enable developers to create interactive and responsive web experiences.
2. Mobile App Development: Angular can also be used to develop mobile applications using frameworks like Ionic. This allows developers to build cross-platform mobile apps using the same codebase, saving time and effort.
3. Progressive Web Apps (PWAs): Angular provides the necessary tools and features to create PWAs, which are web applications that can be installed on a user’s device and function offline. This enables users to access the app even without an internet connection.

What are feature of angular ?

Features of Angular:

• MVC (Model-View-Controller) architecture: Angular follows the MVC architecture, which separates the application’s data, presentation, and behavior. This makes the application easier to understand, test, and maintain.
• Two-way Data Binding: Angular allows for seamless synchronization between the model and the view, ensuring that any changes made in the model are immediately reflected in the view and vice versa.
• Dependency Injection: Angular makes use of dependency injection to manage the application’s components and their dependencies. This promotes code reusability and simplifies the development process.
• Directives: Angular’s directives enable developers to extend HTML with new attributes and tags, making it easier to create dynamic and interactive web applications.

What is the workflow of angular ?

The workflow of an Angular application typically involves the following steps:

1. Create an Angular project using the Angular CLI (Command Line Interface).

2. Define components, services, and modules to structure your application.

3. Write HTML templates and CSS styles for the user interface.

4. Implement data binding and handle user interactions within components.

5. Configure routing for navigating between different views.

6. Test your application using automated unit tests and end-to-end tests.

7. Build and deploy your application for production.

How angular Works & Architecture?

How Does Angular Work:

Angular works by combining HTML templates, CSS styles, and JavaScript code. When a user interacts with the application, Angular handles the events and updates the view accordingly. It uses a concept called two-way data binding, which means that changes in the model are automatically reflected in the view, and vice versa. 

Architecture of Angular: Angular follows a modular and scalable architecture, which makes it easy to maintain and extend the application. It consists of several key components:

1. Modules: Angular applications are divided into modules, which are self-contained units of functionality. Each module can have its own components, services, and other resources.
2. Components: Components are the building blocks of Angular applications. They encapsulate the user interface and handle user interactions. Each component consists of a template, styles, and code.
3. Services: Services provide functionality that can be shared across multiple components. They are used to manage data, perform HTTP requests, and handle other tasks.
4. Directives: Directives are used to extend the functionality of HTML elements. They allow you to add custom behavior to existing elements or create new elements.
5. Templates: Templates define the structure and layout of the user interface. They are written in HTML and can include Angular-specific syntax.
6. Dependency Injection: Angular uses dependency injection to manage the dependencies between different components and services. This allows for loose coupling and easier testing.

How to Install and Configure angular ?

Installing and Configuring Angular:

1. Install Node.js: Download and install Node.js from https://nodejs.org.
2. Install Angular CLI: Open a terminal and run the following command to install the Angular CLI globally:

npm install -g @angular/cli

Step by Step Tutorials for angular for hello world program

Step-by-Step Tutorial for a Hello World Program in Angular:

1. Create a New Project:

ng new hello-world-app
cd hello-world-app

2. Generate a Component:

ng generate component hello

3. Edit the Component Template:

Open src/app/hello/hello.component.html and replace its content with:

<h1>Hello, Angular!</h1>

4. Use the Component:

Open src/app/app.component.html and replace its content with:

<app-hello></app-hello>

5. Start the Development Server:

ng serve

This will start the development server. Open your browser and navigate to http://localhost:4200 to see your “Hello, Angular!” message.

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Hi dear, welcome to the fascinating way of Jira’s concept of learning. Today I will tell you about the creation of projects in Jira. This is the most common and important feature because if you are using Jira then it is very important for you to know how to create the project in Jira so that you can start your journey with Jira. You will see what is the agenda in this article? So, in this article, we will learn how to create a project, what the classic project is and how to work with that, and how to create boards so, we will start from the first one. You will see first how to create projects so, let’s go to the cloud instance. There will be the cloud instance that you have created. In this section, you will see there is the default page of a Jira. If you want to change your default page in Jira then you can do this I will explain the setting later in this course in the article

How to create a project?

We will, we are going to create the projects so, you will go into the project section and you will see, you will haven’t create any project yet so, it will show you currently have no projects so for creating the project you will click on the create project button and you will see, it gives you options to enter your project name and to choose the template right now it’s showing the scrum template but if you want to change your project template then you can simply click on the change template and you will get a load of options available. There, you can choose according to your requirements the Kanban, scrum, task tracking, and bug tracking templates and many more are available there but you will use the scrum template so. You will go with that scrum one and select that scrum one. You will mention the project name and project name is project a. Once you will click on the advanced option you will see the key of a project. The key of a project should be very descriptive and easy to use. What is the logic behind the project key? It takes the first letter of our project name and if you want to name and if you want to change the project key then you would recommend changing it at the time of the creation of the projects because it is very difficult to change the project T later once you will create the project and adding issues or your requirements in the project so I would recommend you to change your project T then please change at the time of the creations so you will go and click on create button it will land you in that page where you will see the backlog options in the backlog you can create your requirements in the form of a story in the form of the task and you can create the epics.

I will explain to you what are the effects stories and tasks you can see the other issues types are available story tasks bugs and there are the options of creating the epic so, what are these issues types? So, you will see, what are options are available in that project you will see when you will create the project in Jira then it creates automatically a bowl. You can say this is a PA board if you want to create your own board then you will click on the plus icon and you can create the board it could be a scrum or it could be a Kanban board it’s up to you but for now, you will cancel it and the second option is a backlog as I told you, you can collect your requirements in the backlog and the third one is the active sprint then you don’t have any experience available there.      

What is a classic project?

So, it will look like as there are the three columns are available to do in progress and then I will explain to you how you can change these columns and how can you add more columns in this active sprint board and there are report options are available. As you will see, there are a lot of reports are available burndown charts, burnup charts sprint reports velocity, and the reports which are related to the issue analysis forecast and management and the others. You will see, there are no available sprints for this board that’s why this is the reason it will not show any report there so once you will start your sprint then how can you start your sprint? You will be able to see the report there so, you will back to the other one. You will see relays this is the best option. With the help of these release options you can create the versions and how you will create diversion you can manage your releases there next option is issues and filters all issues that you will create in that project will be listed down there so, you can choose all issues and it will show you all the issues in a list. I will show you how but this time you don’t have any issues so, you cannot see it and you will see there the other options are available. You will see open issues your reported issues recently viewed issues or recently created resort or updated issues as well so, I shall show you once you will create issues in the project and the next project is pages. You can show any pages which are related to your project there and the next one is the components. You can create the components and you can categorize your issues as for the components that are the best feature in the Jira and you can add the other items may be.

If you will click on that then you can add the repose repository link pages Ning or any shortcut which are frequently used so you will go into the last one and which is a project setting in that option that contains a lot of features. So first, we will start from the details you will see that you can change the project name and the project key there but you will be able to see that option because you will be admin and have access to change that project key but you will haven’t admin access then you can’t change it you can mention any URL but you can’t change the project type. If you want to change the project type then you cannot do it there for this you will have to create a new project and move your all the issues on that particular project type and there you can select an image and you may be put your project low logo and any other related images. You can write their description and mention the project lead there and you can set the default assignee as well the next option is people. In this option, you can add the people which are going to work into your project. So simply, you can add the people by clicking that arrow options you can choose the role and type the name then it will show automatically has done. I will explain to you later how you will create the roles and how can you add more team members? So that you can add the people to your project. The third one is a summary where you will be able to see the complete summary of your project. 

Related videos:

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I am going to tell you the Difference between AIOps and Artificial intelligence (AI) on the basis of their Definition and how they work and what are the components of them. So let’s start.

What is AIOps?

AIOps stands for artificial intelligence for operations team promises to improve the events correlation, speed root cause analysis, and drive automation.

In other words, the ability to drive the automated process by using automation, whether the process is around incident management, remediation.

Let’s take an example- If you are getting so much alerts noise at the time of monitoring you could either ignore them or put lots of effort to solve that, but the AIOps is driven to drive the resolution to that issue with the help of automation, that means not much effort, work done in less time or say in a smarter way.

 AIOps is all about delivering a better customer experience, that’s why much more customers are adopting AI machine learning. With AIOps you can predict and fix most common IT problems before they impact customer experience and free up the IT teams to innovate.

AIOps leverages big data and collects data from different platforms like ops tools and devices to automatically spot and react to the issue in real-time.

The goal is to increase the speed of delivery of the services to improve the efficiency of IT services and in other words to provide a superior user experience.

It’s clear that AIOps break down the siloed operations and enable the generation of insights that can be communicated to stakeholders and it can help in driving automation and collaboration.

Need of AIOps

AIOPs offer clarity to performance data and dependencies throughout all environments, examine the data to take out the important events which are associated with outages or slow down, and automatically alert members to problems, the root causes, and recommended solutions.

Components of AIOps

1) Extensive and diverse IT Data

2) Aggregated big data platform

3) Machine learning

4) Observe

5) Engage

6) ACT

7) Automation

AIOPs bridges three different IT disciplines –

1) Service management

2) Performace management

3) Automation

What is artificial intelligence (AI)?

AI refers to the automation of tasks by feeding data or by taking the help of machine learning to learn new things by getting data from the internet, locally saved data, or from the instruction that has been installed to work like as instructed.

Machine learning is a kind of brain to AI that helps it to think or decide like a human brain but not completely because humans are creative. We can do anything by using our brains that can’t do machines.

AI had been thought of in 1955 and introduced in 1956 in a seminar by John McCarthy, that’s why we call him the father of AI as well.

It is said AI is our future but it’s not true AI is present as well as future.

Some examples that we are using currently are Alexa, Siri on iPhone, Google Assistant, Tesla car, Cortana on windows. All these are some examples of present AI that we are using and Google maps are also one of them and many more.

Artificial Intelligence (AI) in the field of computer science.

Stages of AI

1. General AI
2. Narrow AI
3. Artificial super intelligence

General AI means lots of works and activities can be done. Humans can dance, eat and do many more activities, in the same way, AI can also do multiple tasks. But unfortunately, we don’t have that much evolved AI right now. We can make it do any particular task that we want to make it done. In other words, we have only narrow AI’s right now.

Narrow AI means it is focused on any particular task that is assigned to it such as an application is designed to take a photo but a human can do anything with that photo. So this is the difference between AI and humans. (General and narrow AI).

Artificial super-intelligence means the machine which will surpass humans in thinking, behaving, etc, and can do much more which we can’t imagine. But we don’t have such kind of super-intelligence right now but. It is like hypothetical robots that have been shown in movies.

Advantages and Disadvantages of AI

Advantages

• Workloads can be decreased.
• Time can be saved.
• Errors can be reduced
• Automation
• To remember things easily
• We can use robots instead of humans as cops
• Designing and construction without hard work
• Can work without breaks
• Collection of data and many more.
• Solve problems and perform complicated tasks

Disadvantages

• Humans will become lazy.
• If somehow anyone can succeed in manipulating the AI then it can be dangerous to human’s kinds.
• Machines can keep an eye on us all the time by using cameras and many more, which means no privacy.
• It can give unemployment to people
• High cost of maintenance
• Can’t sense like humans
• Lack of creativity

Types of AI

• Reactive machine AI
• Limited memory AI
• Theory of mind AI
• Self-aware AI

Training Place

I would like to tell you about one of the best places to get trained and certification in DevOps, DevSecOps, SRE, AIOps, MLOps, GitOps, AI, and Machine learning courses is DevOpsSchool. This Platform offers the best trainers who have good experience in DevOps and also they provide a friendly eco-environment where you can learn comfortably and free to ask anything regarding your course and they are always ready to help you out whenever you need, that’s why they provide pdf’s, video, etc. to help you.

They also provide real-time projects to increase your knowledge and to make you tackle the real face of the working environment. It will increase the value of yours as well as your resume. So do check this platform if you guys are looking for any kind of training in any particular course and tools.

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Dr Sandip Bordoloi, Associate Professor, Department of Electrical Engineering, GIMT, Guwahati.

Electrical engineers work on a wide range of components, devices, machines, and systems, from tiny microchips to huge power station generators. Electrical systems, many a times, are so complex that they require expert systems to monitor and supervise them. Such supervisory systems may comprise high-end computers that use complex algorithms and software to regulate the flow of electrical energy obtained from different sources to domestic and industrial consumers.

A modern expert system such as Artificial Intelligence can pave the way to leverage data for ‘data interpretation’ and ‘decision-making’. The application of Artificial Intelligence technology on power systems is an active area of research and significant success has been achieved in this area to date. So, what is Artificial Intelligence and how can it be associated with Electrical Engineering? “Artificial Intelligence (AI) is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence”. Recent progress in areas like machine learning, big data analysis, and natural language processing has affected almost every area in academics, industry and business and, therefore, engineering is no exception. AI is the simulation of the process of data interaction of human thinking in a machine, so as to produce a smart machine, which can think like a human being to provide a problem, respond and deal with the problem. Machine learning and big data analysis can help leverage AI to build and optimise electrical systems by providing AI technology with new data inputs for interpretation and decision-making. In addition, harnessing AI’s potential may reveal chances of boosting system performance while addressing problems more efficiently.

AI is used to program machines to learn and mimic the actions of humans. These machines are able to learn with experience and perform human-like tasks. For years, researchers, engineers and scientists have been fascinated with the concept of how machines can be taught to replicate tasks ordinarily done by humans. Machines can now be fed with a huge amount of data to make them more ‘Artificially Intelligent’. The concept of AI is not new. Different forms of intelligent systems have been incorporated in Electrical Engineering for a long time, some of which are discussed below:

Expert systems: An expert system (ES) is a software system that captures human expertise for supporting decision-making. These systems are useful for online operations in the control field because they incorporate symbolic and rule-based knowledge, in the form of if-then rules to solve problems. The expert system consists of knowledge base, database, reasoning machine, interpretation mechanism, knowledge acquisition and user interface.

Fuzzy logic control systems: “Fuzzy logic is a basic control system that relies on the degrees of state of the input and the output depends on the state of the input and rate of change of this state”. The fuzzy control system uses a rule-based system for how machines will respond to inputs that account for a continuum of possible conditions, rather than straightforward binary rules.

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