Did you know that over 70% of cloud-native organisations use serverless technologies to boost agility and save operational costs?
With
Lambda handling over 1 trillion invocations per month and Fargate seeing a 240% usage increase year-over-year, both are clearly in demand. However, choosing between the two can feel overwhelming, as both promise ‘serverless’ simplicity to their scaling global user base. But there is a list of stark differences between the two as well.
As businesses increasingly shift to microservices and containerised applications, understanding the difference between
AWS Lambda vs. Fargate is critical.
If you are confused about choosing between these two
serverless computing in AWS, you have landed on the right page. Let’s dig in.
Imagine being able to run your app without ever worrying about the servers; that’s what serverless computing is.
In AWS, serverless computing in Lambda and Fargate enables users to write code and hit deploy, while the platform takes care of the rest: scaling, managing, and provisioning infrastructure.
The best part is that users are charged as per use and don’t need to tinker with machines. However, the term ‘serverless’ is a myth to highlight the ‘optimal convenience’ factor - the server is definitely there, but users are not required to deal with it every day.
If your application development requires agility and cost-efficiency, AWS Lambda is your go-to solution. As a serverless compute service, it runs your code in response to real-time events, scaling instantly and billing only for what’s used.
The use of
AWS serverless function complements projects that involve short-lived tasks, like - processing customer uploads, responding to web requests, or crunching streaming data from platforms like Kinesis. It’s a smart fit for modern, event-driven architectures where flexibility and low overhead are key.
If you're tired of babysitting servers,
AWS Fargate might be your friend in need, thanks to its super compatibility with Amazon ECS. As a user, you get to fine-tune CPU and memory, while Fargate quietly manages everything under the hood. Fargate is ideal for microservices or any app that needs to scale without the server drama.
While both of these
serverless computing in AWS aim to simplify cloud computing by eliminating the need for server management, they hold some unavoidable similarities. Let’s find out:
Now, let’s explore some stark differences between
AWS Lambda vs AWS Fargate
Choosing between
AWS Lambda vs AWS Fargate depends on your app's architecture and control needs. If you're building event-driven or serverless applications of short-lived processes, Lambda is ideal. Why? Because it automatically scales, has a generous free tier, and you only pay for execution time. It makes it great as a cost-efficient platform.
But if your workload involves long-running tasks or requires more control over the container environment (like specific networking, storage, or compute settings), Fargate fits better. It runs containers without managing servers and is ideal for microservices or containerised batch jobs.
To be precise:
Both AWS Lambda and Fargate offer powerful serverless compute solutions tailored to meet different application needs. Hence, choosing between the two depends on your specific project requirements and preferences. Given the high demand for cloud technologies, employers are looking for skilled cloud professionals, especially AWS experts. If you are passionate about making a rewarding career in the cloud, sign up for our
AWS training and certification. We assure you industry-leading training by AWS-certified mentors only.
