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AWS Lambda vs EC2 Comparison


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AWS Lambda vs EC2 Comparison

When it comes to cloud computing, Amazon Web Services (AWS) is one of the most popular providers on the market. AWS offers a variety of services, including compute services like AWS Lambda and EC2. But what is the difference between these two services and which one is the best option for your needs? In this blog post, we will compare AWS Lambda and EC2 to help you make an informed decision.

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The Comparison between Different AWS Services is a Series containing different blog posts that provide a basic understanding of key differences Between different aws services. Each post covers the detailed guide on difference between the AWS Services and Which is preferred more . This series aims at providing "Comparison Between Different AWS Services."

What is AWS Lambda?

AWS Lambda is a serverless compute service that enables you to run code without having to provision or manage servers. You simply upload your code and Lambda takes care of the rest, automatically scaling your application in response to incoming traffic. With AWS Lambda, you only pay for the compute time you consume, making it an affordable option for small and large applications alike.

What is EC2?

Amazon Elastic Compute Cloud (EC2) is a scalable computing service that provides you with complete control over your computing resources. With EC2, you can launch virtual machines (VMs), configure network and storage, and deploy your applications. EC2 provides you with the flexibility to choose from a variety of operating systems, configure your own environment, and scale your resources as needed.

AWS Lambda vs EC2: Key Differences

Serverless vs Servered Computing: The main difference between AWS Lambda and EC2 is the way they handle server management. AWS Lambda is a serverless compute service, meaning you don’t have to worry about managing servers. EC2, on the other hand, provides you with complete control over your computing resources, including the ability to launch virtual machines and configure network and storage.

Cost: Another key difference between AWS Lambda and EC2 is cost. AWS Lambda charges you based on the amount of compute time your code consumes, whereas EC2 charges you for the amount of time your VMs are running, as well as for the amount of storage, network, and other resources you consume. For small applications, AWS Lambda is typically more cost-effective, but for larger applications that require more resources, EC2 can be a more cost-effective option.

Scalability: AWS Lambda automatically scales your applications in response to incoming traffic, making it a highly scalable solution. EC2 provides you with the ability to scale your computing resources as needed, but you’ll need to manually configure your VMs and network to do so.

Performance: AWS Lambda provides low latency and high performance, making it a great choice for applications that require fast response times. EC2 provides you with the ability to configure your own environment, which can result in improved performance for applications that require a lot of computing resources.

Deployment: AWS Lambda simplifies the deployment process, allowing you to upload your code and have it automatically deployed. With EC2, you’ll need to manually deploy your code, configure your VMs, and set up your network and storage.


When it comes to choosing between AWS Lambda and EC2, the best option for you will depend on your specific needs. AWS Lambda is a great choice for small applications that require low latency and high performance, while EC2 is a better option for larger applications that require more computing resources and the ability to configure your own environment. Ultimately, both AWS Lambda and EC2 are powerful computing services that provide different benefits, so be sure to consider your requirements before making a decision.

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Disclaimer: This blog post was assisted by AI in conducting research, organizing thoughts and generating a draft. The final version of the post has been heavily edited and reviewed by [Adit Modi], and any errors or inaccuracies are the sole responsibility of the author.