[Infographic] AWS Lambda Use Cases: 6 Inspirational Examples

Since being launched in 2014, the AWS Lambda service has spread fast amongst developers and cloud architects, for it is easy to use, and there is a significant cost benefit (pay-per-use basis). 

AWS Lambda is an Amazon Web Services serverless deployment platform that you can use in the AWS cloud environment with basically no overhead. It will save you much time and resources using Lambda for performing code tasks for websites, applications, and services running on AWS. AWS Lambda is an event-driven computing cloud with many uses. In this article, we will present you with some of the best AWS Lambda use cases.

lambda use cases

1. Swift document conversion

For those who are providing documents to users, there is always a problem because there is no standard document format that will satisfy the desires of all users. Some would want it in HTML format, while others would like to download it as a PDF file or even in some more specialized document format.

You can, of course, make and store copies of all document formats that are most likely to be requested by a user. However, soon you will find out that this takes a substantial amount of storage capacity, which you can extend for a considerable cost, or you can just save your resources by using AWS Lambda. AWS Lambda can swiftly retrieve the required document, format and convert it, and finally, serve it back to the user for a download or a display on a page.

2. Processing video

This case is helpful for those of you who have stored video files on an S3 bucket. For now, you have an instance that polls the bucket regularly. It idles until a new file is uploaded, then it downloads the file, processes it somehow, and then drives it back to your origin server.

The problem is you have an instance that’s sitting idle for a good part of the day. It’s doing nothing when no new video is uploaded and costs you money, and your computer resources are used 24/7 for no reason.

Using Lambda, in this case, allows you to upload your script (Java, JavaScript, Python, etc.) and design code to provoke an event when a new file is uploaded to the bucket, which will lead to the file being processed and pushed back to your origin server. And that’s how easily Lambda can save your resources.

3. Operating Serverless websites

This might be the best way to take advantage of the pricing model of Lambda and S3 hosted static websites.

Think about hosting the web frontend on S3 and accelerating content transmission with CloudFront caching. The web frontend can send requests to Lambda functions using the API Gateway HTTPS endpoints. Lambda can handle the application logic and persist data to a fully managed database service (RDS for relational or DynamoDB for a non-relational database).

Your Lambda functions and databases can be hosted within a VPC to separate them from other networks. As for Lambda, S3, and API Gateway, you get charged after the traffic incurred, and the only fixed expense will be running the database service.

Learn how to create your first serverless website in 15 minutes.

4. Security alerts

Do you need to be aware of any security breaches in your cloud infrastructure?

Is it imperative to your overall cloud strategy to monitor your logs and to keep an audit trail?

Lambda could help you a lot in this situation.

You can write a Lambda function to send an alert on a specific event from Cloudwatch/CloudTrail AWS activity logs. It will notify your designated on-call staff via email, or you could even write a code that will trigger the AWS Lambda to call you on your phone.

5. Automated file synchronization

If you have a repository that needs to be regularly synchronized to several locations several times a day, you might find AWS Lambda very useful. Many people don’t use a dedicated instance for things like this. Often they go and double or even triple up on another instance and just assign this task to it. Depending on a security policy or contention for resources at specific periods during the day, this will prove not to be the best option.

Instead of keeping an instance up and running all day long, chewing away at your budget every month, you can use a Lambda function that a scheduled event will trigger, run your synchronization job, and then just go away until the next cycle that it needs to run.

6. Predictive page rendering

Are you using predictive page rendering to ready web pages for display based on the user’s probability of selecting them? You can use a Lambda-based application to retrieve documents and multimedia files, which might be used by the next page requested, and conduct the beginning stages of rendering them for display.

If an outside source is serving multimedia data, the AWS Lambda application can even check for its availability and attempt to use alternate sources if they are not available.

Does your use case fit Lambda’s limits?

Now, these were all pretty compelling use cases, but obviously, you need to take care of your own, probably rather specific, tasks.

The limits around AWS Lambda usage were increased every year since its release, and things that couldn’t be done in 2014 are now in the realm of possibility.

If you can solve your use-case within the following limits, then go for it:

  • Custom runtime support for the programming language of your choice
  • 10 GB function size as Docker image
  • 50 MB function size as ZIP archives
  • 10 GB of memory
  • 6 vCPU cores (x86_64/arm64)
  • 15 minutes execution time
  • 6 MB API event payload
  • 265 KB non-API event payload
  • 512 MB temporary storage
  • 1,000 concurrent invocations

Conclusion

In the end, AWS Lambda should be one of your prime go-to resources for approaching repetitive or time-exhausting tasks, along with the other heavy-lifting jobs of the data-processing world. It frees your prime online services to target crucial frontend tasks, such as responding promptly to user requests, and it allows you to offload a lot of processes that would otherwise significantly decelerate your system.

AWS Lambda would provide you with even more granular control over the services you wish to deliver to your customers, with a presumption that they can be split out into specific tasks that can be run as functions inside Lambda. It would be well worth your while to master the capabilities of this service, as it can immensely reduce the expenditure of your cloud operations while allowing you to scale your applications to much higher levels formerly not possible and to evaluate how this fits into your overall strategy to provide value to your customers.

In combination with AWS Lambda, you should use some monitoring and error tracking tools like Dashbird to even more secure your data and improve your system’s overall stability.


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Made by developers for developers

Dashbird was born out of our own need for an enhanced serverless debugging and monitoring tool, and we take pride in being developers.

What our customers say

Dashbird gives us a simple and easy to use tool to have peace of mind and know that all of our Serverless functions are running correctly. We are instantly aware now if there’s a problem. We love the fact that we have enough information in the Slack notification itself to take appropriate action immediately and know exactly where the issue occurred.

Thanks to Dashbird the time to discover the occurrence of an issue reduced from 2-4 hours to a matter of seconds or minutes. It also means that hundreds of dollars are saved every month.

Great onboarding: it takes just a couple of minutes to connect an AWS account to an organization in Dashbird. The UI is clean and gives a good overview of what is happening with the Lambdas and API Gateways in the account.

I mean, it is just extremely time-saving. It’s so efficient! I don’t think it’s an exaggeration or dramatic to say that Dashbird has been a lifesaver for us.

Dashbird provides an easier interface to monitor and debug problems with our Lambdas. Relevant logs are simple to find and view. Dashbird’s support has been good, and they take product suggestions with grace.

Great UI. Easy to navigate through CloudWatch logs. Simple setup.

Dashbird helped us refine the size of our Lambdas, resulting in significantly reduced costs. We have Dashbird alert us in seconds via email when any of our functions behaves abnormally. Their app immediately makes the cause and severity of errors obvious.