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When it comes to driving, there’s one thing you should never do: “check your phone,” and you should surely do is use Driving Focus on your iPhone.

Most people drive because they enjoy the freedom of cruising down the road while listening to music or talking on their cell phones. However, many forget that these activities can be quite risky. We’ve all experienced a time when the phone starts ringing while driving.

A simple solution to manage the situation is iPhone’s Driving Focus mode. But do you know how to use it? I’ll show you how to set it up and how exactly it works.

What is Driving Focus mode on your iPhone?

Earlier dubbed as Do Not Disturb While Driving, it is now incorporated in Focus mode with iOS 15. It helps you to concentrate on the road and reduces clutter while driving. It temporarily limits calls, texts, and other notifications.

A “Motor Car” icon appears on your iPhone after you turn on the Driving Focus mode. The icon’s appearance indicates that your device will now support features such as auto-reply and read replies with Siri.

How to set up Driving Focus mode

Setting up the Driving Focus was a bit complex on iOS 15. To fix it, Apple has smoothened it and made it fairly simple on iOS 16. We’ll see how to set up the Driving Focus mode in both versions.

In iOS 16

Select who can or can’t call you: Tap the People tab; you’ll have two options to choose from:

Customize your Lock Screen: iOS 16 brings automation and customizations to the Lock Screen. Thanks to it, you can link your Focus mode profiles with a lockscreen to reduce driving distractions.

In iOS 15

Note: If you’ve tried setting up Driving Focus before, simply go to Settings → Focus and select Driving to start customizing it.

Turn on or off Driving Focus mode

To enable/disable the Driving Focus mode in iOS 16 or iOS 15.

Alternatively, you can also:

In iOS 16 – On the Lock Screen, long-press the screen → swipe left or right to choose the look screen for which you’ve linked the Focus status.

In iOS 15 – On the Lock Screen, long-press the Motor car icon (or Driving text) → tap Driving mode to turn it off.

Sometimes, you may get an alert when trying to unlock your screen. Choose, I’m not driving to disable Driving Focus.

Automate replies while driving

You can even set a custom message to inform people that you’re driving or will call later, etc. Notably, you can select a certain person or group that this message goes to. To set an automated message:

Notably, the selected contacts can also notify you if there’s something essential that needs to be delivered by sending “Urgent” as a supplement message.

Automate the Driving Focus mode

You can turn on Driving Focus mode on its own if the iPhone is connected to the car’s Bluetooth or CarPlay and the car is in motion (or you’re moving fast). To enable the automation:

Share Focus Status

You can let others know you’re driving by sharing a Focus status. This will let others know that you have your notifications silenced. Apple has tweaked the setting with iOS 16 as the Focus status now gets a separate section.

In iOS 15: Go to Settings → Focus → Driving → Focus Status → Toggle on Share Focus Status.

And that’s how it’s done!

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Venus

Tech Junkie and Computer Science Undergrad, who loves experimenting things and everything Apple.

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How To Use Google Bard Ai: A Complete Guide

Google Bard is a chatbot developed by Google that uses natural language processing and machine learning to simulate conversations with humans. It aims to provide helpful responses to questions and assist in various tasks. In this article, we will take a deep dive into Google Bard, how it works, and how to use it effectively.

See More : Google Bard Availability: Your Access to the World’s Knowledge

Google Bard is an AI chatbot developed by Google that uses natural language processing and machine learning to simulate conversations with humans. It can understand natural language and respond appropriately to a wide range of queries. Google Bard has been designed to provide human-like responses, and it can even crack jokes and make small talk.

Google Bard is built on a language model called LaMDA (Language Model for Dialogue Applications), which is specifically designed for dialogue applications. Unlike other chatbots, LaMDA focuses on generating more natural and fluid conversations with users.

Using Google Bard is relatively easy and straightforward. You need to follow these simple steps to start using it:

You will be directed to the Google Bard interface, which has a chat window.

Type your prompts or questions in the chat window and wait for the response.

You can also tap the microphone button to speak your question or instruction rather than typing it.

Google Bard is still in the experimental phase, and it is not integrated with Google search yet. However, Google is planning to add AI writing features to Bard in the future.

Google Bard can help you with a wide range of tasks. Here are some of the things that Google Bard can do:

You can ask Google Bard to search the web for you. For example, if you want to know about the weather in your area, you can ask, “What is the weather like today?” Google Bard will then provide you with the latest weather updates for your location.

Google Bard can help you set reminders. For instance, if you have a meeting coming up, you can ask Google Bard to remind you of the meeting ten minutes before the scheduled time.

You can also use Google Bard to make a phone call. For instance, you can say, “Call John,” and Google Bard will initiate a phone call to John.

Google Bard can help you translate languages. For example, if you want to know how to say “hello” in French, you can ask Google Bard to translate it for you.

Google Bard has a great sense of humor and can tell you jokes. For instance, you can ask Google Bard to tell you a joke, and it will provide you with a funny response.

Google Bard can also play games with you. For example, you can ask Google Bard to play a game of tic-tac-toe, and it will initiate the game.

Also Read : Google Bard AI Available in India: Revolutionizing Conversational AI

Google Bard, Bing AI, and ChatGPT are all AI chatbots that aim to provide human-like responses to questions. However, each chatbot performs differently, and the choice of which one to use depends on the user’s needs and preferences.

Bing AI is best for getting information from Microsoft products and services, such as Bing search engine, Microsoft Office Suite, and Microsoft Teams. It can also assist with basic tasks, such as setting reminders and scheduling appointments.

Google Bard, on the other hand, is designed to be a more creative and conversational chatbot. It can generate poetry, music lyrics, and even short stories. It is best used for entertainment and creative purposes.

ChatGPT, the language model that I am based on, is a more general-purpose chatbot that can provide information on a wide range of topics and engage in conversational exchanges with users. It is designed to be more human-like in its responses and can understand context and nuance in language.

Google Bard AI is a user-friendly chatbot developed by Google that uses natural language processing and machine learning to simulate conversations with humans. It is built on a language model called LaMDA, which focuses on generating more natural and fluid conversations with users. Google Bard can perform a wide range of tasks, such as searching the web, setting reminders, making phone calls, translating languages, telling jokes, and playing games. While still in the experimental phase, Google plans to add AI writing features to Bard in the future.

Q. Is Google Bard free?

Yes, Google Bard is completely free and accessible to anyone with a Google account.

Q. Can I use Google Bard on my mobile device?

Yes, you can access Google Bard on any device with a web browser.

Q. What languages does Google Bard support?

Currently, Google Bard only supports English, but Google is working on expanding its language capabilities.

Q. Can Google Bard help me with personal tasks, such as scheduling appointments or making reservations?

At the moment, Google Bard is not integrated with Google search, so it cannot assist with personal tasks. However, it can set reminders and make phone calls.

Q. How does Google Bard compare to other AI chatbots?

Google Bard, Bing AI, and ChatGPT are all AI chatbots that aim to provide human-like responses to questions. However, each chatbot has its own strengths and weaknesses, and the choice of which one to use depends on the user’s needs and preferences.

A Complete Guide To The Jira Versions

Introduction to Jira Versions

Start Your Free Software Development Course

Web development, programming languages, Software testing & others

Different Jira Versions 8.7. X Version

Maintenance of GDPR: This version supports the general data protection policy for the real user of the tool, i.e. the admin has the power to store all data of employees and erase the personal data of employees who left the company.

Support SQL 11: This version Jira tool supports SQL 11 for the database to the server.

Support DataCenter Authentication: This version provides OpenID authentication to the user and supports the datacenter authentication to the JIRA tool user.

8.6. X Version

Handles Version Control: It can handle each modified copy of older version files and copy them into the new Jira instance.

Provide Notification to Outlook: The company maps the response or notifications into the Outlook mail services in this version. Any task, issue, or work will be transparent to everyone.

Users & Roles Made Easier: In this version, the users and roles section is added reasonably, i.e., adding a resource to a project or assigning a role to the resource will be easier or more noticeable.

Support SQL 10: This version Jira tool supports SQL 10 for the database to the server.

Search by Prefix & Suffix: The search with prefix or suffix name of a task or issue can be possible from this version.

Provides Burnup chart & Edit Sprint: From this version, the Burnup chart (status of task pending) of the task generated, and the team to edit the sprint as per requirement. For this, it keeps the status report.

8.5. X Version

It is one of the stable releases of the Jira tool and an Enterprise edition.

Managed by Mobile App: The team member can manage the tool through authenticated mobile devices from this version.

Support Memory Management: It provides troubleshooting and supporting plugins for JVM garbage collection, i.e., to delete unwanted objects.

Improving Performance: Compared to the previous version, it provides high performance, accessibility, and issue archive.

7.13. X Version

Adopt Java version JDK8: As Oracle stops JDK updates, so Jira 7.13 tool will adopt OpenJDK8. It supports maintenance and security patches.

Improving Performance: As the tool is utilized for performance and regression testing, it showcases a performance improvement compared to the previous version.

7.10. X Version

Produce good GUI: In this version, the Jira tools look and feel changes, i.e., colors, pages, icons, etc., but the navigation remains the same.

History of Projects: This version shows the previous project list to team members to improve the work culture and performance.

Project List Refreshed: The team can refresh the project list or display the ongoing projects, introducing new projects and the project search bar.

Team Workflow: It provides the status report of team workflow by mailing notifications via Outlook or internal conversation through Stride. It shows the full update regarding the project.

7.8. X Version

Support Work Faster: From this version onwards, the quick search option will be added to the Jira tool, so we easily search any project or issue, or task by putting the full name or part of the name in the quick search box. It shows us the most relevant results so the work will be faster.

Add new Language: This version adds the “Dutch” language to the Jira tool.

7.6. X Version

It is also an Enterprise edition of the Jira tool.

Support Java JDK8: When the support from Oracle stops for JDK8, then the Jira tool adopts OpenJDK8 for maintenance and security updates for the tool. It will support both Jira with JDK8 or JRE8.

Introduce Priority: From this version onwards, the JIRA tool introduces the concept of priority to the issue or task, or project. The workflow will move from one level to another, depending on the priority.

Support Live Monitoring: This version of the Jira tool supports the live monitoring of the workflow or status of the project. It is real-time monitoring of the Jira tool to calculate the team’s efficiency.

Support Extra Features: From this version, some features are added to the JIRA tool, like drag and drop, Issue movement between columns, better security, and performance issue.

Conclusion

This article briefly discusses the different versions of the Jira tool with some extreme features. There are so many versions of this tool, but I discuss some Enterprise versions. Now, the modified release of the tool is going on, but in the near future, some enterprise editions will be released with some new features.

A Complete Guide To The Db2 Version

Introduction to DB2

Hadoop, Data Science, Statistics & others

Later, after 1990, universal database called as UDB which is one of the DB2 server was created after deciding that the product should be able to run on any given authorized operating system such as windows, unix and linux platforms. Here we will see various versions of the DB2 and how it has evolved by adding new functionalities and supporting new programming languages over the period of time.

Various DB2 Versions

Given below are the various DB2 versions:

Version Code Name

Version 3.4 Code language used to create this platform is Cobweb.

Version 8.1, Version 8.2 Code language used to create this platform is Stinger.

Version 9.1 Code language used to create this platform is Viper.

Version 9.5 Code language used to create this platform is Viper 2.

Version 9.7 Code language used to create this platform is Cobra.

Version 9.8 Code language used to create this platform is PureScale.

Version 10.1 Code language used to create this platform is Galileo.

Version 10.5 Code language used to create this platform is Kepler.

To check the version of DB2 on you LUW machine, you can type the following command on the terminal or console:

Code:

SELECT fixpack_num, service_level FROM TABLE (sysproc.env_get_inst_info()) as informationOfInstance

Output:

1. Viper 2. Viper 2 3. Cobra

IBM came up with a new version called cobra in the month of June in 2009 which is the codename for DB2 9.7 for LUW which introduced new features of temporary tables, compression of data for database indexes and storage of objects which are very large. Cobra also came up with support of various XML data partitioning techniques like range partitioning, hash partitioning and multidimensional clustering. Because of these features one can easily work with XML in environment of data warehousing.

Many additional functionalities for users working with oracle database were also introduced in DB2 which included PL/ SQL syntax, commonly used syntaxes of SQL, scripting syntax and oracle database’s datatypes. Microsoft SQL server and oracle database users find it very familiar for using DB2 because of the exhibition of behavior of concurrency model.

4. Purescale

IBM launched a new DB2 version release in 2009 in the month of October named DB2 purescale which is the cluster database mainly designed for the non-main frame platforms which is mostly suitable for OLTP transactions that is online transaction processing. The design of the DB2 purescale is based on the DB2 data sharing with parallel sysplex on the main frame platforms. The architecture of DB2 purescale is completely fault-tolerant and has the storage of shared disk. This version of DB2 provides automatic load balancing and complete availability which can be extended upto 128 servers of database.

5. Galileo

IBM introduced to a new version of DB2 in early 2012 which was DB2 10.1 and the code name for this version was Galileo which can be used for windows, Linux and Unix platforms. One of the most promising features that became available was fine-level control over the database in which we can restrict the access on row level and column level. Besides this, Galileo came up with lot many new data management capabilities like multi-temperature management of the data which helps in deciding whether the data is hot or cold which means how often the data is accessed and accordingly we can decide the storage of the data. Another feature of Galileo includes the adaptive compression capability.

6. Kepler

IBM announced a new version of DB2 named Kepler in June 2013 which is the code name for DB2 10.5.

7. Other Versions

IBM launched a new version of DB2 distribution system for hadoop in the month of April 2023 to June 2023 which was named as DB2 LUW 11.1. IBM also relaunched a version of DB2 and dashDB in the middle of 2023 year and named them to DB2. An artificial intelligence enabled DB2 version was released by IBM on June 27 in 2023 which introduced many new performance improvements in query building and execution as well as features which can help in creating the applications which are enabled with AI.

Conclusion – DB2 Version Recommended Articles

This is a guide to DB2 Version. Here we discuss the introduction and the various DB2 versions for the better understanding. You may also have a look at the following articles to learn more –

A Complete Guide On Docker For Beginners

This article was published as a part of the Data Science Blogathon

Introduction

It is not difficult to create a machine learning model that operates on our computers. It is more difficult when you are working with a customer who wants to use the model at scale, that is, a model that can scale and perform on all types of servers all over the world. After you have finished designing your model, it may function smoothly on your laptop or server, but not so well on other platforms, such as when you move it to the production stage or a different server. Many things can go wrong, such as performance issues, the application crashing, or the application not being effectively optimized.

Sometimes it is not the model that is the issue but the requirement to recreate the entire stack. Docker enables you to easily replicate the training and running environment for the machine learning model from any location. Docker allows you to package your code and dependencies into containers that can be transferred to different hosts, regardless of hardware or operating system.

Developers can use Docker to keep track of different versions of a container image, see who produced it with what, and roll back to prior versions. Finally, even if one of your machine learning application services is upgrading, fixing, or down, your machine learning application can continue to run. To update an output message integrated throughout the application, you do not have to update the whole application and disrupt other services.

Image 1

Let’s dig in and start investigating Docker.

What is Docker!

It is a software platform that makes developing, executing, managing, and distributing applications easier. That had accomplished by virtualizing the operating system of the computer it had installed.

Docker’s first edition had launched in 2013.

The GO programming language had used for creating Docker.

Looking at the rich set of functionality Docker has got to offer, it’s been widely accepted by some of the world’s leading organizations and universities, such as Visa, PayPal, Cornell University and Indiana University (just to name a few) to run and manage their applications using Docker.

Now we try to understand the problem, and solution offered by Docker

Problem

Let us imagine you want to host three separate Python-based applications on a single server (which could either be a physical or a virtual machine). A different version of Python used by these programs, libraries and dependencies varies from application to application.

We are unable to host all three applications on the same workstation since various versions of Python can not be installed on the same machine,

Solution

Let’s see what we could do if we didn’t use Docker to tackle this problem. In this case, we might solve the problem with the help of three physical machines or by using a single physical computer that is powerful enough to host and run three virtual machines.

Both approaches would help us install various versions of Python, and their associated dependencies, on each of these machines.

Regardless of which solution we chose, the costs of purchasing and maintaining the hardware are substantial.

Let’s look at how Docker might be a viable and cost-effective solution to this issue.

To comprehend this, we must first examine it’s functionality.

Image 2

In simple terms, the system with Docker installed and running is referred to as a Docker Host or Host.

As a result, anytime you want to deploy an application on the host, it will build a logical entity to host that application. This logical object is known as a Container or a Docker Container in the Docker nomenclature.

There is no operating system installed or running on a Docker Container. However, a virtual replica of the process table, network interface(s), and file system mount point would be included (s).

It is passed further from the host operating system on which the container is hosted and executing. The kernel of the host’s operating system, on the other hand, is shared by all the containers executing on it.

It allows each container on the same host to be isolated from the others. As a result, it helps numerous containers with varied application requirements and dependencies to run on the same host as long as the operating system requirements are the same.

In other words, rather than virtualizing hardware components, Docker would virtualize the operating system of the host on which it had installed and running.

Pros and Cons of using Docker

Docker allows numerous programs with varied requirements and dependencies to be hosted on the same host as long as they use the same operating system.

Containers are typically a few megabytes in size and occupy relatively little disc space, allowing many applications hosted on the same host.

Robustness, There is no operating system installed on a container. As a result, it uses extremely little memory when compared to a virtual machine (which would have a complete operating system installed and running on it). It cuts the bootup time to only a few seconds, whereas it takes several minutes to start a virtual machine.

Cost is less when it comes to the hardware necessary to run Docker, and it is less demanding.

On the same Docker Host, we can not host applications together that have various operating system needs. Let’s pretend we have four separate programs, three of which require a Linux-based operating system and one of which requires a Windows-based operating system. The three apps that require a Linux-based OS can be on a single Docker Host. The application that requires a Windows-based OS must be on a separate Docker Host.

Docker Core Components

Docker Engine is one of the core components and is responsible for overall functioning.

It is a client-server based application with three main components.

Server

Rest API

Client

Image 3

The Server executes the dockerd (Docker Daemon) daemon, which is nothing more than a process. On the Docker platform, it is in charge of creating and managing Docker Images, Containers, Networks, and Volumes.

The REST API defines how applications can interface with server and tell it how to complete their tasks.

The Client is a command-line interface that allows users to communicate with Docker by issuing commands.

Docker Terminologies

Let’s have a look at some of the terms used in the Docker world.

Docker Images and Docker Containers are the two most key items you’ll encounter while working with Docker regularly.

In simple terms, a Docker Image is a template that includes the program, dependencies needed to run it on Docker.

A Docker Container, on the other hand, is a logical entity, as previously indicated. It is a functioning instance of the Docker Image in more technical terms.

Docker Hub

Docker Hub is the official online repository where we can find all of the Docker Images that we can use.

If we like, we can also use Docker Hub to store and distribute our custom images. We could also make them public or private, depending on our needs.

Note: Free users can keep one Docker Image private. More than one requires a paid subscription.

Installation

Before we get our hands dirty with Docker, one last thing we need to know is that we need to have it installed.

The official Docker CE installation directions are linked below. These instructions for installing Docker on your PC are straightforward.

Do you wish to skip installation and start practicing Docker?

If you’re too slow to install Docker or don’t have enough resources on your PC, don’t panic – there’s a solution to your problem.

Play with Docker, an online playground for Docker, is the best place to start. It enables users to immediately practice Docker commands without the need to install anything on their PC. The best part is that it’s easy to use and completely free.

Docker Commands

It’s finally time to get our hands dirty with Docker commands, as we’ve all been waiting for

docker create

The docker create command will be the first command we’ll look at

We can use this command to build a new container.

The following is the syntax for this command:

docker create [options] IMAGE [commands] [arguments]

Please keep in mind that everything placed in square brackets is optional. It holds for all of the instructions presented in this guide.

The following are some examples of how to use this command:

$ docker create fedora 02576e880a2ccbb4ce5c51032ea3b3bb8316e5b626861fc87d28627c810af03

The docker create command in the preceding example would create a new container using the most recent Fedora image.

It will verify if the latest official Fedora image is available on the Docker Host before building the container. If the most recent image isn’t accessible on the Docker Host, the container had initiated using the Fedora image downloaded from the Docker Hub. If the Fedora image is already present on the Docker Host, the container uses that image for creation.

Docker results in the container ID on successful creation of the container. The container ID returned by Docker is in the above example.

A container ID had assigned to each container. When executing various activities on the container, such as starting, stopping, resuming, and so on, we refer to it by its container ID.

Let’s look at another example of the docker create command, this time with parameters and command supplied to it.

$ docker create -t -i ubuntu bash 30986b73dc0022dbba81648d9e35e6e866b4356f026e75660460c3474f1ca005

The docker create command in the preceding example builds a container using the Ubuntu image (if the image isn’t available on the Docker Host, it will download the most recent image from the Docker Hub before building the container).

The -t and -i options tell Docker to assign a terminal to the container so that the user can interact with it. It also tells Docker to run the bash command every time the container starts.

docker ps

The docker ps command is the next we’ll look at

We can use the docker ps command to see all the containers currently executing on the Docker Host.

$ docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES30986b73dc00 ubuntu "bash" 45 minutes ago Up About a minute elated_franklin

It only shows the containers that are running on the Docker Host right now.

To view the containers created on this Docker host, regardless of their current condition, whether it is running or not, you must use the -a option, which lists all containers created on this Docker Host.

$ docker ps -a CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES30986b73dc00 ubuntu “bash” About an hour ago Up 29 minutes elated_franklin02576e880a2c fedora “/bin/bash” About an hour ago Created hungry_sinoussi

Let us understand the above output of the docker ps command.

CONTAINER ID: consists of a unique string with alphanumeric characters connected with each container.

IMAGE: Docker Image used to create the container.

COMMAND: After the start of the container, it runs any application-specific commands.

CREATED: It provides the elapsed time since the creation of the container.

STATUS: It provides the current status of the container.

If the container is running, it will display Up along with time elapsed. (Up About an hour or Up 5 minutes)

If the container is not running, the status will be Exited, with the exit status code enclosed in round brackets and the time expired. (Exited (0) 2 weeks ago or Exited (137) 10 seconds ago,)

PORTS: It provides port mappings described for the container.

NAMES: In addition to the CONTAINER ID, each container had given a unique name. A container can be identified by its container ID or by its unique name. Each container Docker generates and assigns a unique name by default. If you wish to change the container to a unique name, use the –name option with the docker create or docker run commands.

I hope this helps you better grasp what the docker ps command returns.

docker start

The command helps to start any stopped containers.

docker start [options] CONTAINER ID/NAME [CONTAINER ID/NAME…]

To start the container, you can specify the first unique characters of the container ID or its name.

Below you can look at the example.

$ docker start 30986 $ docker start elated_franklin

docker restart

The command helps to restart any running containers.

docker restart [options] CONTAINER ID/NAME [CONTAINER ID/NAME…]

Similarly, we can restart by specifying the first unique characters of the container ID or its name.

Look at the examples using this command

$ docker restart 30986 $ docker restart elated_franklin

docker stop

The command helps to stop any running containers.

docker stop [options] CONTAINER ID/NAME [CONTAINER ID/NAME…]

It is related to the start command.

You can specify the first unique characters of the container ID or its name to stop the container.

Have a look at the below examples

$ docker stop 30986 $ docker stop elated_franklin

docker run

It first creates the container and then starts it. In summary, it is a combination of the docker create and start commands.

It has a similar syntax to docker create.

docker run [options] IMAGE [commands] [arguments] $ docker run ubuntu 30fa018c72682d78cf168626b5e6138bb3b3ae23015c5ec4bbcc2a088e67520

In the above example, it creates a container using the latest Ubuntu image and starts the container, and immediately stops it. We can not get a chance to interact with it.

To interact with the container, we need to specify the options -it to the docker run command, then we can interact with the container.

$ docker run -it ubuntu

Type exit in the terminal to come out of the container.

docker rm

We use this command to delete a container.

docker rm [options] CONTAINER ID/NAME [CONTAINER ID/NAME...] $ docker rm 30fa elated_franklin

In the above example, we are instructing docker to delete two containers in a single command. We specify the ID for the first and the name for the second container for deletion.

The container should be in a stopped state to delete it.

docker images

The command lists out all docker images present on the docker host.

$ docker images

REPOSITORY: It describes the unique name of the docker image.

TAG: Each image is associated with a unique tag that represents a version of the image.

A tag had represented using a word or set of numbers or alphanumeric characters.

IMAGE: It is a string of alphanumeric characters associated with each image.

CREATED: It provides elapsed time since the image had been created.

SIZE: It provides the size of the image.

docker rmi

This command allows us to remove images from the docker host.

docker rmi [options] IMAGE NAME/ID [IMAGE NAME/ID...] docker rmi mysql

The command removes image mysql from the docker host.

The below command removes the image with ID 94e81 from the docker host.

docker rmi 94e81

The below command removes image ubuntu with tag trusty.

docker rmi ubuntu:trusty

These are some of the basic commands you come across. There are numerous other instructions to explore.

Wind Up

Although containerization has been around for a long time, it has only recently received the attention it deserves. Google, Amazon Web Services (AWS), Intel, Tesla are just a few leading tech businesses with their specialized container engines. They rely significantly on them to develop, run, administer, and distribute their software.

Docker is an extremely powerful containerization engine, and it has a lot to offer when it comes to building, running, managing and distributing your applications efficiently.

You had seen docker at a high level. There is a lot to study about docker, like

Commands(More powerful commands)

Docker Images are a type of container (Build your custom images)

Networking with Docker (Setup and configure networking)

Stack of Docker (Grouping services required by an application)

Docker Compose is a tool that allows you to create a container (Tool for managing and running multiple containers)

Swarm of Dockers (Grouping and managing one or more machines on which docker is running)

If you’ve found this fascinating and want to learn more about it, I recommend enrolling in one of the courses listed below. They were educational and right to the point, in my opinion.

If you are a complete beginner, I recommend enrolling in this course, which has been prepared specifically for you.

Investing your time and money into studying Docker is not something you will regret.

End Notes

I hope you find this article helpful. Please feel free to share it. Thank you, have a great day.

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A Complete Guide To Vmware Benefits

Introduction to VMware

Web development, programming languages, Software testing & others

This software helps us in various domains like security, storage, networking, etc. VMware provides us with various software and products that can be used for different benefits; here, we will see the various benefits of using that product and software for better understanding and usage.

Various VMware Benefits

As we already know, VMware has many benefits, which can be understood by the various product it provides, which adds great help to security networking, storage, and many more areas.

1. Provides virtual desktop infrastructure

One of the benefits of using this is we can use the desktop from anywhere we want. From this, we do not require a full desktop setup in the workplace; we can use VMware Horizon, which allows us to manage and run the Windows desktop from VMware Cloud or AWS. This removes a lot of things for us, like we do not require to manage and set up the full desktop at the workplace. Also, it helps reduce the monitoring and managing of user security and centralizes management. We can use this with two more VMware products, Dynamic Environment Manager and App Volumes, which help us in application delivery and managing the Windows desktop.

2. Provide personal desktop

VMware created this as their first product, enabling users to run or manage virtual machines directly on a single Linux, Windows, or laptop. Using this, we can have a virtual machine inside the physical machine, which can run without causing any issues; in short, it can run parallel or simultaneously. If we talk about virtual machines, they have operating systems such as Linux or Windows. With this, we can even run Windows on the Linux machine and vice versa without worrying about the installed operating system on the machine. The product name VM Workstation enables us to run the virtual machine in the machine; for Mac computers, we have VM Fusion.

3. Provide storage and availability 4. Provide disaster recovery management

VMware benefits also include disaster recovery; for this, it provides us with the Site Recovery Manager, which helps us create the recovery plan, which will be executed automatically in the case of failure. The NSX further integrates with this system to maintain and preserve the security and network on the migrated VMs.

5. Provide the cloud infrastructure

For infrastructure, we have one product from VMware which is known as vSphere, which provide the following points:

vMotion

vSphere Client

ESXi

vCenter Server

6. Provide us SDDC platform

SDDC manager helps to integrate various software into a single platform, such as VMware NSX, vSphere, vSAN, etc. So for this, we have VMware cloud foundation, which is a software that helps to bundle this mentioned software by the use of the SDDC platform; now we can deploy this bundle on the private cloud or also have the option to run this bundle within as public cloud but as a service. Admin can do all these tasks; admin also has the provision to the application without the need for storage and network.

7. Provide network and security

As seen above are the main benefits of VM, as we have already seen it provides us with many products which can be used for different purposes as per the need, one of the main things about doing things virtually without carrying the setup at the workplace.

Below are the key points that need to be kept in mind while using the VN product; they provide us with many benefits, but we also have some drawbacks that must be focused on.

Also, there is a lack of support, which means we may encounter several bugs while using the VM product.

Not all things are free; the fees are very high for licensing.

Conclusion – VMware Benefits

As we have already seen so many benefits of VM in this article, we have also seen the different products that provide for different purposes; you can understand and start using them by the above explanation; we have many more things in VM.