It is very important to learn about the AWS Lambda use cases if you want to implement AWS Lambda. In this article, you will learn about the uses of AWS Lambda for various purposes. 

AWS Lambda is considered to be a proficient serverless computing service that allows you to run your code for managing servers and containers. The scaling under AWS Lambda is done automatically by measuring the work intensity integrated onto it. AWS Lambda is mostly used in pipelines and is also integrated for responding to the web requests.

There are several use cases to AWS Lambda that define its prime efficacy of executing code within the AWS cloud. Even though AWS Lambda is meant to be used within the cloud, local development attributes can also use it for diverse development needs.

In this article, you will learn about some of the crucial use cases of AWS Lambda and the instances when you should use it for expecting better outcomes.

Read more about What is AWS Lambda today!

Use Cases of AWS Lambda 

Under this section, there are several use cases that define the usability of Lambda. By understanding the potential use cases, you will probably know when you should make use of AWS Lambda.

Some of the common use cases of AWS Lambda are:

1. Serverless Website with AWS Lambda

Maintaining a dedicated or virtual server is now an old remedy for managing a website. It is because these instances take a lot of time that will eventually deviate your mind from the core operational functionalities.

AWS Lambda is one of the most important services of AWS that is meant to be used in adequate ways for building a powerful website. With the implementation of AWS Lambda for building a website, there is no necessity for people to manage any single server or OS.

Some of the common tools and solutions used with AWS Lambda for building a website are AWS API Gateway, Amazon S3, Amazon Cognito User Pool, DynamoDB and Amazon Cognito User Pool.

2. Document Conversion at Faster Pace with AWS Lambda

If your company needs to give out documents such as manuals, transaction records, specifications, and others to your respective users, then the use of AWS Lambda can make things easier for you. The users or end-clients of your company might not demand those documents in a similar format at all times. For instance, some clients might demand you for the documents in PDF, while some might demand in HTML. Therefore, rapid conversion of documents is quite important.

The documents that are more likely put upon request can be prior stored in all different formats. But, if the documents are static, then storing them all might consume a lot of space, which is not a smarter way out. Therefore, AWS Lambda is here to handle the document conversion aspects for you easily and rapidly. It can help you retrieve the contents rapidly, convert them and serve them for display or download. Hence, this is an important AWS Lambda usage amongst all.

3. Log Analysis with AWS Lambda

Lambda functions are easy to create and implement! Therefore, you can possibly create one for checking the log files from CloudWatch or Cloudtrail. AWS Lambda has the potential to search for relevant or specific events as per the function commands within the logs. You can also call for a search of specific log entries.

The use of the AWS Lambda function for log analysis can be programmed in a way to receive notifications through SNS. AWS Lambda allows people to add custom notification services by hooking them onto different portals such as Zendesk, Slack and others. The only thing you have to do is call their API endpoints with AWS Lambda.

4. Real-Time Data Processing with AWS Lambda

It is quite impossible for a website or application to handle a bulk amount of data in real-time. Data can be streamed through communication devices, user input, and other peripherals. Even though your application is adequate for parsing some volume of data, there might be times when your application might have to handle a larger volume of data.

By sending the data stream to the AWS Lambda application, you can expect a quick pull of required information for handling all real-time tasks without slowing down the main aspects of the application. The data will be processed in real-time and in bulk over an AWS Lambda application which is a strong reason for people turning up to the use of AWS Lambda.

Here we bring a comprehensive AWS Lambda Tutorial that will make you a pro in AWS Lambda.

5. Predictive Page Rendering with AWS Lambda

The use of AWS Lambda is much more than that of just cleaning the data, but it can also help you prepare the specified web pages for an appealing display. It is done with the adaptation of predictive page rendering with AWS Lambda. The use of lambda is playing a major role in making this possible.

For instance, when you use the AWS Lambda application for retrieving documents or media files, it will need to come up to the initial rendering stages to give ideal display output to the user when they request for the next page. But, if the multimedia files are sourced from external platforms, then the AWS Lambda application has the potential to check the availability for it and finds alternate sources, and redirects the users to it in case the actual content is missing.

6. Mass Emailing with AWS Lambda

Mass Mailing is one of the most important ways of marketing in today’s world. It is being adopted by almost all organizations irrespective of whether they are entrepreneurs or established organizations. There are many traditional solutions available across the market for providing mass mailing services that are not just expensive but require a lot of technical expertise, hardware, and others.

With the use of AWS Lambda and blending it with Simple Email Service (SES), building a cost-effective email platform is quite easy. You can connect this mass emailing platform with Amazon S3 for storing your mailing list. With this adaptation, you can send text or HTML emails to mass recipients.

A specific way of triggering the function is embedded within AWS Lambda for mass mailing. Firstly, the user will be uploading a CSV file that will trigger an S3 event. Now, this function will trigger another Lambda function for importing files onto the database and sending emails to the selected addresses. With further integration of this in-house email platform with CloudWatch Events, you can also schedule the mailing of newsletters.

7. Efficient Monitoring with AWS Lambda

By the use of AWS Lambda integration with CloudWatch event console intends to achieve real-time monitoring of the data stream. CloudWatch Events are meant to give real-time updates upon the event streams that help the user stay aware of the AWS resources.

Now, by implementing the CloudWatch event rules, creating Lambda functions and efficient monitoring will become hassle-free. Lambda functions can be used for immediate real-time notifying or alert measures. It is mostly adapted for raising alerts and keeping track of threshold breaches. 

The use of AWS Lambda functions will send notifications to concerned persons and will work as an alarming system. For monitoring the CloudWatch logs, the respective integrated lambda functions will be processed to keep track of the anomalies or changes within the data.

8. Building Serverless Chatbots with AWS Lambda

Chatbots are the necessity of the present era! All the traditional measures adapted for building and running the chatbots is quite expensive and somehow inefficient. The developers have to go through several provisioning, running and scaling operations of resources for running the chatbot code seamlessly.

And, all of this hassle can be avoided with the use of AWS Lambda. With it, you can run a completely scalable architecture of chatbots. You will just have to enter your code logic to the AWS Lambda function. Now, the code can be set to trigger when the user puts in the command that is sent to the bot. These commands are termed to be API requests that are drawn from different platforms such as Messenger, Slack and others. These API requests are routed through the respective gateways to the Lambda function.

The best part is that the Lambda function executes or runs the commands only when it is called. Therefore, the resources are not put into use unnecessarily, and you will eventually be paying only for the time when your code runs.

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Conclusion

These are a few of the ways that explain the AWS Lambda usage! If you also had a question in your mind about when you should use AWS Lambda, then this article is the right solution to your query. Irrespective of your business trade or type, there are some use cases that are commonly demanding for almost all business types. Therefore, the popularity and usability of AWS Lambda have grown beyond bars since its launch.

Read more on AWS Lambda vs EC2!

This serverless computing service platform has earned a great name with its impeccable services. Its use cases have dominated the entire environment with the dedicated computing service model.