In this article, we will be discussing everything about edge computing vs. cloud computing. But before that let us discuss how many companies are moving to cloud computing.

Small and big companies are continually moving their applications to the cloud. More than 28 percent of an organization’s total IT budget is now kept aside for cloud computing. Today, 70 percent of organizations have at least one application in the cloud, indicating that enterprises are realizing the benefits of cloud computing and slowly adapting.

With this, the demand for cloud engineers is at an all time high. Getting a cloud certification from some of the leading organizations can help you hone the right skills and launch your career in the cloud computing domain. 

Even as companies and industry experts predict the future growth of cloud computing, experts believe that the cloud has reached the end of its run at the top, and are betting on the growing popularity and benefits of edge computing.

Learn about the AWS architectural principles and services like IAM, VPC, EC2, EBS and more with the AWS Solutions Architect Course. Register today!

In a fireside chat, Anand Narayanan, Chief Product Officer of Simplilearn, and Bernard Golden, an influential voice in cloud computing, discussed the current state of cloud computing and why the edge is poised to become the future of IT transformation in companies. We’ve collected some nuggets from this conversation to help you gain advanced insights into edge computing and why it’s the next big thing in IT.

Find Our Cloud Computing Courses in Top Cities

India United States Other Countries
Cloud Computing Training in Mumbai Cloud Computing Training in Los Angeles Cloud Computing Training in London
Cloud Computing Training in Delhi Cloud Computing Training in Austin Cloud Computing Training in Riyadh
Cloud Computing Training in Pune Cloud Computing Training in Singapore

Watch the fireside chat video recording here.

What Are the Advantages of Edge Computing over Cloud Computing?

 In this section, we will have a look at edge computing vs. cloud computing in detail.

This is a pertinent question asked by most IT professionals. In the fireside chat, Bernard explains how edge computing is helpful in situations where organizations wish to bypass the latency caused while communicating information from the device across the network to the centralized computing system. He gives the example of a machine whose functionality is very crucial for an organization. A delay in the machine's decision-making process due to latency would result in losses for the organization. In such cases, organizations will prefer edge computing because smart devices with computation power are placed on the edge of the network. The device monitors a pre-defined metrics set for tolerance levels, if the metrics are outside of the prescribed tolerance, a warning signal is issued as soon as the machine reaches the failure level, resulting in the shutdown of the machine within microseconds to avoid further losses.

The process of edge computing differs from cloud computing because it takes time, sometimes up to 2 seconds to relay the information to the centralized data center, delaying the decision-making process. The signal latency can lead to the organization incurring losses, hence organizations prefer edge computing to cloud computing.

Edge Computing Vs. Cloud Computing - Which One’s Better?

First, it’s important to understand that cloud and edge computing are different, non-interchangeable technologies that cannot replace one another. Edge computing is used to process time-sensitive data, while cloud computing is used to process data that is not time-driven.

Besides latency, edge computing is preferred over cloud computing in remote locations, where there is limited or no connectivity to a centralized location. These locations require local storage, similar to a mini data center, with edge computing providing the perfect solution for it.

Edge computing is also beneficial to specialize and intelligent devices. While these devices are akin to PCs, they are not regular computing devices designed to perform multiple functions. These specialized computing devices are intelligent and respond to particular machines in a specific way. However, this specialization becomes a drawback for edge computing in certain industries that require immediate responses.

That was all about edge computing vs. cloud computing . Moving forward, let us discuss the future of these platforms in detail.

What Does the Future of the IT Sector Look Like?

Though many companies are adopting edge computing and are predicting the end of cloud computing, Bernard points out that this is not substantiated because there is currently no analytical framework to prove it. Edge computing is not the only solution for the challenges faced by IT vendors and organizations and does not handle all applications across every environment, thus, cloud computing will still remain a crucial part of an organization’s IT infrastructure. To demonstrate this, Bernard cites the example of an IoT device with computing power attached to it, along with Azure functionality. The device-deployed code responds in real-time by shutting down the IoT machine in case of a damaging failure condition, while the rest of the application runs in Azure. The million-dollar machine is no longer dependent on cloud loop for emergency response due to its utilization of edge computing and still works in harmony with cloud computing to run, deploy, and manage the IoT devices remotely. This sustains that cloud computing will remain relevant and work alongside edge computing to provide data analytics and real-time solutions for organizations.

Wth that we have come to the end of edge computing vs. cloud computing.


In this write-up Edge computing vs. cloud computing, we noticed that both the platforms are different and can't replace each other. It is true to say that edge technology has been accepted by many organizations due to its overcoming minor issues of cloud computing.

If you are looking to enhance your cloud computing skills further, we would highly recommend you to check Simplilearn's Post Graduate Program in Cloud Computing. This course can help you in gaining the right skills and make you job-ready in no time.

If you have any questions about edge computing vs cloud computing that are not answered in this article, share them in the comments section below.

Our Cloud Computing Courses Duration and Fees

Cloud Computing Courses typically range from a few weeks to several months, with fees varying based on program and institution.

Program NameDurationFees
Post Graduate Program in Cloud Computing

Cohort Starts: 22 Feb, 2024

8 Months$ 4,500
AWS Cloud Architect11 Months$ 1,299
Cloud Architect11 Months$ 2,000
Microsoft Azure Cloud Architect11 Months$ 1,499
Azure DevOps Solutions Expert6 Months$ 1,649

Learn from Industry Experts with free Masterclasses

  • Uncover Your Fastest Route to a Cloud Computing Career in 2024 with Caltech University

    Cloud Computing

    Uncover Your Fastest Route to a Cloud Computing Career in 2024 with Caltech University

    22nd Feb, Thursday9:00 PM IST
  • Career Masterclass: Discover Why Cloud Computing is the Right Career  for You in 2024?

    Cloud Computing

    Career Masterclass: Discover Why Cloud Computing is the Right Career for You in 2024?

    2nd Nov, Thursday9:00 PM IST
  • Learn to Build a Netflix-Style Streaming App on AWS

    Cloud Computing

    Learn to Build a Netflix-Style Streaming App on AWS

    6th Sep, Wednesday9:00 PM IST