Imagine how liberated you’d feel if you ran a business and had the opportunity to outsource administrative tasks, freeing you up to focus on your core services. Well, if you’re exploring the realm of cloud computing, serverless computing does precisely that for developers and businesses. Cloud computing offloads the hassles of infrastructure management to cloud service providers liberating users from the complexities of maintaining or scaling servers
Let’s dive, rather float, into two serverless cloud computing services, AWS Lambda, and GCP Cloud Functions, both of which serve the same purpose but have their own unique differences and similarities as well, which can help you choose one from the other.
AWS Lambda is a service provided by Amazon's cloud, known as AWS. This serverless service means you don't have to worry about managing servers or any other hardware to run your code.
Think of AWS Lambda as a super helper which only gets triggered on certain events. One such event can be when someone clicks on your website or adds a new file to your database - now that the trigger has occurred, Lambda jumps in and runs the right piece of your code to deal with it.
Imagine you have a big box full of different tools. AWS Lambda is like a smart toolbox that works on Amazon's computers (they call these "Linux servers"). You can put almost any kind of tool in it (or in this case, any kind of code for a web service or app), as long as it's a type that Lambda knows how to use.
Let's look at some key features that make AWS Lambda such a robust choice:
Google's answer to serverless computing is Google Cloud Functions. Similar to AWS Lambda, it allows you to focus on writing code while Google takes care of the server management.
Here are some standout features of Google Cloud Functions:
Both AWS Lambda and Google Cloud Functions offer serverless computing services, reducing the need to manage and maintain servers. They also provide automatic scaling based on the incoming requests. However, their offerings differ in several ways.
Pricing for both platforms depends on usage. AWS Lambda charges $0.20 per 1 million requests, and its computing costs are comparatively lower than Google Cloud Functions, especially when your requests exceed 2 million.
The notable difference with AWS Lambda is that Cloud Functions lacks support for PowerShell. Azure, on its self, lacks support for Go. That’s expected, as Go was developed by Google.
AWS Lambda allows unlimited functions per project, whereas Google Cloud Functions limits you to 1,000 functions per project.
The services differ in their sources of events. AWS Lambda events can originate from a wide variety of services like SQS, SNS, SES, S3, Kafka, CloudWatch, DynamoDB, HTTP, or Kinesis. On the other hand, Google Cloud Functions' events come from Firebase, Cloud Storage, HTTP, or Cloud Pub/Sub.
AWS Lambda has a limit of 75 GB storage for functions, while Google Cloud Functions lets you control your persistent storage via Firebase or Cloud Storage.
AWS Lambda allows an execution time of 15 minutes per function, while Google Cloud Functions only allows 9 minutes.
Choosing between AWS Lambda and Google Cloud Functions depends on several factors:
The decision you make in selecting which serverless cloud platform you want to utilize depends quite a lot on the kind of requirements you have for your platform and the kind of expertise available you have for the platforms. There are several factors you should keep in mind to ensure that the selection you make is the most cost-effective and computing efficient. This is where Data Pilot's expert consultation comes in handy prescribing you with the right tools apt for your particular business needs.
Regardless of which platform you select, you’ll be able to develop apps faster and at a reduced cost, which is always good news!
Written by: Muhammad Irfan Umar & Shaafay Zia