AWS, Azure, Google Cloud (GCP)

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Serverless Technology for Cost- Effective and Scalable Business Solutions

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Building an application based on an idea is a dream for many entrepreneurs. However, the journey from idea to running an application is long and hard. Serverless technology is a game changer in the field of application development. Function as a Service model is a category of services that makes it ridiculously easy to run code in the cloud without provisioning any compute infrastructure. You can run your applications on a managed infrastructure within minutes if you have an idea, good code, and an account with a Hyperscaler cloud provider.

Let us tour serverless technology and the various cloud providers and compare their serverless offerings.

Introduction to Serverless Technology

Serverless technology is a new concept in cloud computing that allows developers to run and scale their applications without the need for provisioning or managing servers. Instead, the cloud provider collects all the infrastructure and scaling required to run the application, and the developer only pays for the resources they use. It has led to significant cost savings and increased scalability for many businesses.

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Cloud Hyperscalers and their Serverless Services

Amazon Web Services (AWS) is a major player in the serverless space with its Lambda service. AWS Lambda allows developers to run their code in response to specific events, such as an HTTP request, a file upload, or a scheduled cron job. It allows for great flexibility and scalability, as the service automatically provisions and scales the necessary resources based on the amount of traffic the application receives.

Another major player in the serverless space is Microsoft Azure with their Azure Functions service. Like AWS Lambda, Azure Functions lets developers run their code in response to specific events and offers automatic scaling of resources. Additionally, Azure Functions provides integration with other Azure services, such as Azure Event Grid and Azure Service Bus, which allows for even more flexibility and scalability.

Google Cloud Platform (GCP) also offers a serverless computing service called Cloud Functions. Like AWS Lambda and Azure Functions, Cloud Functions allows developers to run their code in response to specific events and offers automatic scaling of resources. GCP also integrates with other GCP services, such as Cloud Pub/Sub, BigQuery, and Cloud Storage, allowing even more flexibility and scalability.

Key Differences

Programming Languages supported:

One of the key differences between these three services is the range of programming languages and runtimes supported. AWS Lambda currently supports Node.js, Python, C#, Go, PowerShell, Ruby, and Java, while Azure Functions supports C#, F#, JavaScript, and Java. GCP Cloud Functions supports Node.js, Python, Go, Visual Basic, and Java.

They also provide custom runtimes if your choice of language is not listed above. AWS Lambda provides the use of custom deployment packages or AWS Lambda Layers; with Azure functions, you can use Azure function custom handlers, and with GCP Cloud Functions, you can use custom Docker images.

Pricing Model

Each cloud provider has a different pricing model for serverless computing. AWS Lambda charges based on the number of requests and the duration of each execution, while Azure Functions charges based on the number of executions and the duration of each execution. Google Cloud Functions charges based on the number of invocations and the duration of each execution.

When it comes to comparing the three major cloud Hyperscalers in the market, one thing is obvious. All three have similar features and accommodate all types of scenarios. However, as they say, the devil is in the details, and I will be happy to connect with you and give you a detailed idea about the various benefits, pros, and cons of using the specific cloud to suit your requirements.


Serverless technology is a powerful tool that allows developers to run and scale their applications without the need for provisioning or managing servers. AWS Lambda, Azure Functions, and Google Cloud Functions are three major players in the serverless space, each with its strengths and weaknesses. Before deciding, architects should carefully evaluate each service and compare them based on their specific needs. In this digital world, one wrong move can cost the company a ton and significantly impact the business.

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CloudThat is also the official AWS (Amazon Web Services) Advanced Consulting Partner and Training partner and Microsoft gold partner, helping people develop knowledge of the cloud and help their businesses aim for higher goals using best-in-industry cloud computing practices and expertise. We are on a mission to build a robust cloud computing ecosystem by disseminating knowledge on technological intricacies within the cloud space. Our blogs, webinars, case studies, and white papers enable all the stakeholders in the cloud computing sphere.

Drop a query if you have any questions regarding AWS Lambda, Azure Function, or Cloud Functions, and I will get back to you quickly.

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1. 1. What is a simple way of improving the performance of AWS Lambda Function?

ANS: – Using Linux software called RAID help in performance improvement; it also helps in increasing security.

2. 2. How does AWS Lambda work?

ANS: – First, upload the code to AWS Lambda; Set up your code to trigger from other AWS services, HTTP endpoints, or mobile apps. AWS Lambda will only run a code when started and only use the computing resources needed.
Here is a detailed guide on AWS Lambda.

WRITTEN BY Prarthit Mehta

Prarthit Mehta is the Business Unit Head-Cloud Consulting at CloudThat. He is an AWS ambassador and has experience delivering solutions for customers from various industry domains. He also holds working experience in AWS and Big data platforms. He is an AWS Certified Architect - Professional and a certified Microsoft Azure Solutions Architect.



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