What is Docker and how to use Docker for installing Developer Utilities

What is Docker?

What are Images and Containers?

What is Docker Hub?

Using Docker in brief

Docker Installation

Install Docker on MacOS

• Download the Docker Desktop for Mac installer from [here].

• Open the downloaded file and drag the Docker icon to the Applications folder.

• Open the Docker app from the Applications folder and enter your password if prompted!

• You can now use Docker commands in the Terminal app or use the Docker Dashboard to manage your containers.

Other

• For more information about Docker, you can visit the official [documentation].

• For windows installation, follow the steps here! and for Linux click here!

How to Use Docker for Installing Developer Utilities

Benefits of Using Docker for Developer Utilities

Examples of Developer Utilities that You Can Install and Use with Docker

• MongoDB: a popular document-oriented database that stores data in JSON-like format. You can pull the official MongoDB image from Docker Hub and run it with a simple command:

docker run --name some-mongo -d mongo

This will start a MongoDB container with the latest version of MongoDB. If you want to use a specific version, you can specify the tag after the colon, such as mongo:4.4. You can also run multiple MongoDB containers with different versions or configurations on the same machine, as long as you use different names and ports.

• NGINX: a powerful web server and reverse proxy that can handle high concurrency and load balancing. You can create a custom Dockerfile that copies your configuration files and web content into the NGINX image. Then you can build and run your image with the following commands:

docker build -t my-nginx . docker run --name some-nginx -p 80:80 -d my-nginx

This will create and start an NGINX container with your custom settings and content. You can also push your image to a registry like Docker Hub or GitHub Packages, and pull it from another machine or cloud service.

• Redis: a fast and flexible in-memory data structure store that can be used as a cache, message broker, or database. You can pull the official Redis image from Docker Hub and run it with a simple command:

docker run --name some-redis -d redis

This will start a Redis container with the latest version of Redis. If you want to use a specific version, you can specify the tag after the colon, such as redis:6.2. You can also run multiple Redis containers with different versions or configurations on the same machine, as long as you use different names and ports.

• Python: a versatile and popular programming language that can be used for web development, data analysis, machine learning, and more. You can create a custom Dockerfile that installs the Python packages that you need for your project. Then you can build and run your image with the following commands:

docker build -t my-python . docker run --name some-python -it my-python

This will create and start a Python container with your custom packages. You can also push your image to a registry like Docker Hub or GitHub Packages, and pull it from another machine or cloud service.

• Jupyter Notebook: a web-based interactive environment that allows you to create and share documents that contain code, equations, visualizations, and text. You can use Jupyter Notebook for data analysis, machine learning, scientific computing, and more. You can pull the official Jupyter Notebook image from Docker Hub and run it with a simple command:

docker run --name some-notebook -p 8888:8888 -d jupyter/scipy-notebook

This will start a Jupyter Notebook container with the latest version of Jupyter Notebook and some popular scientific Python packages. You can access the notebook server from your browser by visiting http://localhost:8888 and entering the token that is printed in the container logs.
Visit the official documentation or check out some tutorials and examples.

• VS Code: a powerful and lightweight code editor that supports multiple languages, extensions, debugging, and version control. You can use VS Code to edit, run, and debug your code in a fast and convenient way. You can pull the official VS Code image from Docker Hub and run it with a simple command:

docker run --name some-code -p 8080:8080 -d codercom/code-server

This will start a VS Code container with the latest version of VS Code and some popular extensions. You can access the code editor from your browser by visiting http://localhost:8080 and entering the password that is printed in the container logs.

• GPT-3 Playground: a web-based interactive environment that allows you to explore the capabilities of GPT-3, a state-of-the-art natural language processing model. You can use GPT-3 Playground to generate text, answer questions, summarize documents, write code, and more. You can pull the GPT-3 Playground image from Docker Hub and run it with a simple command:
docker run --name some-playground -p 5000:5000 -d ak9250/gpt-3-playground
This will start a GPT-3 Playground container with the latest version of GPT-3 Playground and some sample queries. You can access the playground from your browser by visiting http://localhost:5000 and entering your OpenAI API key.

Conclusion

About Authors

Sai Manasa Ivaturi

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I'm a Software Development Engineer based in Atlanta, Georgia with 5+ years of experience in the software industry. My focus area has been Backend development and full-stack development.

View my Resume here.

Masters Degree in Computer Science Indiana University, Bloomington Jan 22 - May 23

Bachelors Degree in Computer Science Pragati Engineering College, India Aug 14 - April 18

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Srinivas vaddi

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Hi! I’m a recent master’s graduate from Indiana University Bloomington (IUB) 🎓 and a Software Development Engineer with 4+ years of experience. Looking for #jobs!

My areas of expertise are Software Development, DevOps, Testing, Integration, Data Engineering and Data Analytics. Mostly worked on Python, Django/Flask, Apache Airflow, Apache Spark, AWS, and DevOps. I have a versatile background & a ‘can do’ attitude 🤓.

👨🏻‍💻

I like blogging and sharing knowledge. I’ve built a server at home from scratch! I used it to learn various technologies and to contribute to the open-source. I love tech, philosophy, literature, and history. My favorite books 📚 of all time are ‘The Alchemist’ and ‘Chanakya Neeti’ 🙌.

Masters Degree in Computer Science Indiana University, Bloomington Aug 23, 2021 → Dec 17, 2022

Bachelors Degree in Computer Science Gitam University (Deemed to be) Jun 1, 2014 → Apr 1, 2018

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