What does serverless computing mean
Serverless Computing is an associate of cloud architect. By this method, you can provide backend services to your resources or client on their consumption basis.
Now, let’s try to understand this by an example. Earlier, you have to pre-purchase the server space. But with serverless computing, you have to pay per unit, you consumed.
Back in the days, for web development applications, one needs to buy physical hardware to run the server, this entire process is costly and hard to implement.
With serverless computing, you can deploy your code into production easily and quickly. Serverless code can be used in a conjunction scenario with code deploy in case of microservices.
You can increase your agility and innovation in serverless computing. You can also build, test, and run applications without getting worried about server space and cost.
The utmost benefit of serverless computing is, it knocks out infrastructure management tasks such as maintenance of the physical server, operating system maintenance, etc. Along with this, You need not to worry about the extra space for server room.
In this next step of the blog, we will try to under serverless computing with some live examples. We hope it will help you to understand it better.
Here are 3 examples of serverless computing
iRobot was founded by Massachusetts Institute of Technology roboticists in 1990. The company is offering multi-usage robots for household and commercially.
In 2015, iRobot had sold 14,000 units of Roomba robotic vacuums in one day. This event took place during Amazon prime day sale. Right after the event, the company earned its reputation for innovation.
But they faced their first challenge in the same year when they have to release their first internet-connected Roomba vacuums.
So they decide to go with Amazon Web Services (AWS). Here, AWS offers various combination of scalability and easy global services. But amongst all, iRobot highly convinced with serverless architecture, which is based on AES IoT and AWS Lamda.
This one move had saved a ton of money for iRobot because they don’t need to worry about the physical server’s space and maintenance.
They successfully kept the project cost under budget, and most importantly, they require not more than ten resources to run the new application.
The Financial Industry Regulatory Authority (FINRA) is a private cooperation in the United States of America. This organization is dedicated to protect investors and market integrity.
In 2016, FINRA decided to audit quotes, trade events, stocks, equity securities, and other trading practices. So they used Order Audit Trail System (OATS) to collect various market data to create a proper lifecycle of each order (buying and selling of stocks, bonds, equities, and other activities.), which starts from individual to organization.
The data they are receiving on a daily basis is huge in number because it's coming from various exchanges throughout the country. But during higher trading volume, they receive data twice or even thrice as compared to normal days.
To manage this situation, they decide to choose the right solution to host OATS on a third-party cloud architect. For this, they did an in-depth analysis of various solutions available in the market. For meeting the requirements of FINRA, three proof of concept was built to test the scenario. But they choose to go with AWS Lambda.
Using AWS Lambda, they increased the cost efficiency, and most importantly, they had to pay for what they used. Along with this, they are free from on-premises server infrastructure.
Soar is an emerging startup from Australia which combined the technology of blockchain with satellite and drones imagery, which has revolutionized the geospatial industry.
Soar mapping technology is used all around the world in different ways, from measuring the effect of natural disaster to town planning. Their aerial imagery is one of its kind and useful to both the public and private sectors.
But for achieving the goal of becoming the ultimate platform of mapping, they need a world-class solution. So Soar decides to go with Alibaba Cloud services, which could deliver them all kinds of mapping content which they required.
Along with this, Soar very much convinced from Alibaba road map where they are combining AI with their cloud services.
From the inception of the project, Soar used function compute, table store, and storage from Alibaba cloud services, which help them to run their day-to-day business operations. The initial result of the services came out very well.
Conclusion
Here’s hoping that going through examples of various companies, how they have incorporated serverless computing into their strategy will give you a boost to move your setup to serverless as well.
Also Read:
Understanding Mean Stack, its Advantages, Disadvantages, and Use Cases
