Top 10 Exciting Cloud Computing Projects on GitHub For Beginners in 2021

Cloud computing permits you to store, manage, and process data using a network of remote servers hosted on the internet. It affords an inexpensive, environment friendly, secure, mobile, and scalable solution over using local servers and private computers. There’s a newfound curiosity on this technology around the globe amongst software program engineers, developers, researchers, and students. 

This text compiles among the top cloud computing projects on GitHub that can assist you build your technical abilities.

Cloud Computing Features

In response to the tech advisory agency, Gartner, cloud computing achieves outcomes with the aid of 5 key attributes, particularly:

• Service-based
• Shared
• Elastic and scalable 
• Metrics tracking
• Internet technologies

Why Cloud Computing Projects

The scope of progress of pursuing cloud computing careers is prone to expand within the coming years. As an increasing number of organizations transition to cloud infrastructure for their operations, the demand for IT professionals with specialization within the area will even enhance. And contemplating the shortage of cloud computing experts out there at this time, the wage ranges are anticipated to be excessive. A report by Great Learning estimates that India will add more than one million jobs in cloud computing by 2022. 

Cloud Computing Projects on GitHub

1. Docker Curriculum

Discover the comprehensive Docker tutorial on GitHub in case you are simply getting began with this software platform. With Docker, you can study to build, test, and deploy distributed applications quickly and easily. Leading international firms are embracing Docker containers as cloud, and its associated technologies proceed to grow. So, being conversant in its working can give you a considerable competitive benefit within the job market.

2. SMART Platform

It’s a next-gen container for cloud applications. Check out its GitHub repository link here. It comes filled with several utilities and a sample app. You may also strive the demo source code for running on SMART.

Also Read: Top 7 Career Options in Machine Learning & Cloud

3. Orleans

Orleans is commonly known as the “Distributed .NET” because it supplies a novel approach to constructing distributed apps with .NET within the cloud era. This cross-platform framework was first created by Microsoft Research and later launched by the Virtual Actor Model. 

Its programming model can deal with highly-parallel distributed systems with out posing limitations on the work of developers. Orleans builds on the developer productiveness of .NET and simply scales from single on-premise servers to global applications on the cloud.

It might probably prolong concepts like objects, interfaces, strive/catch, async/wait, and so forth. to multi-server environments. If you’re already well-versed with single-server applications, you need to use Orleans to transition to constructing resilient cloud services.

4. OpenShift Origin

It’s an open-source upstream undertaking for Red Hat OpenShift. Launched as OpenShift Origin in 2012, the program was renamed OKD in 2018. OKD interprets to the Origin community distribution of Kubernetes. It provides development and operational tools on top of Kubernetes to supply the next capabilities:

• Rapid application development
• Multi-tenant deployment
• Scaling
• Lifecycle maintenance of teams

Go to the project link on GitHub to know extra.

5. Pulumi

Pulumi can help you create and deploy cloud software program with containers, infrastructure, serverless features, and hosted services. It’s a trendy infrastructure as code for any cloud and language. In different phrases, Pulumi can robotically provision and handle your Google Cloud, AWS, Azure, or Kubernetes resources from your code, which can be written in any language. This infrastructure-as-code strategy makes it one of the most popular project topics.

6. Reflow

Reflow takes care of distributed and incremental data processing within the cloud. It’s a language and runtime system that allows software program engineers and scientists to write down simple programs after which execute them in a cloud environment. The use instances of Reflow can vary from managing large-scale bioinformatics workloads on cloud services to training models and analyzing data. 

Also Read: Top 10 Artificial Intelligence Tools & Frameworks(Opens in a new browser tab)

7. Buddy OS

Think about this project for instance of the Internet Operating System for any gadget that leverages cloud computing power. To make use of Buddy OS, you solely want a device linked to the internet with out selecting proprietary software program. It provides you the management and safety to create, store, and share your data throughout a number of devices and entry them anyplace.

With Buddy OS, you’re free to work independently out of your local web-enabled hardware. It has a extremely responsive desktop surroundings and client-side technologies that assist all display codecs, together with laptops, smartphones, and VR.

8. Cloudsuite

It’s a benchmark suite for cloud services that includes eight functions chosen primarily based on their datacenter popularity. Real-world software program stacks and setups will help you add a brand new dimension to your cloud computing knowledge. So, dive into CloudSuite and acquaint your self with one of the best practices.

9. HermitCore

It’s a library containing a C-based unikernel. HermitCore can deliver high-performance cloud computing by extending the multi-kernel strategy with unikernel features. Subsequently, you get the multi-kernel advantages with a traditional, lightweight, standalone unikernel. 

HermitCore is an experimental project on the RWTH Aachen University that seeks to scale back the resource demand and boot time for our computing apps.

Also Read: What Does a Machine Learning Engineer do? Roles, Responsibilities & Skills

10. Cloudskew

If you’re on the lookout for free cloud architecture diagrams, the Cloudskew project is for you. You’ll be able to create AWS, GC, AZURE, OCI, and Kubernetes diagrams simply with the online editor with out installing anything. You’ll be able to simply log in and start drawing! 

The app affords preloaded icons, a built-in doc editor, and link sharing capabilities. You can also export your creations to PNG/JPG formats or print them. 

Conclusion

With this, we’ve got described among the top cloud computing projects on GitHub. Discovering the correct project in a sea of ideas could be a changing task. Hopefully, your selection will probably be aided with the above list of topics and explanations.