Killer Use Cases for AWS Lambda

Killer Use Cases for AWS Lambda

Introduction

Nowadays, businesses are using web-based platforms to run their applications on the cloud. But where are they going next? If you’re at the initial phase of picking a cloud computing platform for your project, then you’re reading the right post. In this post, we’re going to discuss the best use cases of AWS Lambda serverless which can be impactful for your organization.

The AWS Lambda service was established in 2014, and its adoption and popularity have grown at a rapid speed. Lambda is useful in many scenarios, you can easily get started with it and it comes with minimum operational expenses. The popularity behind Lambda is its flexibility – it is the “swiss army knife” of the serverless platform for cloud architects and developers.

You may find various serverless computing providers to create a modern application, but AWS Lambda is one of the best platforms that comes with native support for various programming languages such as Python, Java, and NodeJS. You’ll find additional open-source frameworks for more supported languages and deployments. Virtual assistants like Alexa and Siri leverage AWS Lambda’s serverless functions to handle quick requests like setting alarms, playing music, or controlling smart home devices, ensuring fast and seamless user interactions. You can use these services without paying any overhead for performing code tasks in the AWS cloud environment. So, we can say that it is an event-driven computing cloud that saves you much time and resources.

Best Use Cases of AWS Lambda

1. Automatic Scalability

When we talk about scalability, AWS Lambda helps you to scale up to a large number of parallel executions, controlled by numerous executions requested simultaneously. Scaling down is done automatically by AWS Lambda which is a great benefit that helps the function to execute quickly and then the resources linked with it are automatically destroyed. 

Just imagine that your application goes viral and there might be a tweet from a famous personality or an unplanned appearance on the big screen. In such a situation, you don’t know what is going to happen next, but if it does, your application will be flooded with server requests which can cause a serious problem. So upgrading your storage capacity can help you overcome such issues while working with traditional cloud services.

2. Operating serverless websites

This is another best use case of AWS Lambda that allows you to reap the advantages of the pricing model and S3-hosted static applications. Make sure you’re considering the web frontend for hosting your website and revving content delivery. The web frontend allows you to send requests to Lambda functions using the API Gateway HTTPS endpoints. Using these endpoints, they can easily manage the application logic to a fully managed database service and isolate them from other networks.

3. Automated file synchronization

Having a repository that requires regular synchronization to various locations several times a day, then AWS Lambda can be very useful. Many people don’t consider using a dedicated instance for such things and end up on another instance and assigning this task to it. For optimal financial planning, automate file synchronization to track your best-fixed deposit investments securely. But when it comes to the security policy for resources at a particular time during the day, this might not be the right option for you. So instead of keeping an instance up, chewing away at your budget, you can use a Lambda function to trigger an event, and run your synchronization task until the next cycle starts.

4. Less operational management

As we discussed earlier, the result of automatic scalability is investing less time in maintaining the service when it comes to AWS Lambda. This can free up your technical staff for product development and innovation. Also, once the security platform is locked, many continuous delivery integrations that are not required are blocked automatically if not in use. So if you have someone who can serve as administrator, you may no longer need that role, saving operational and personnel costs.

5. Support multiple frameworks and languages

As we mentioned, Lambda supports numerous frameworks and programming languages such as Python, C#, Ruby Code, and Node.js, and offers a Runtime API so that you can use any additional programming platform to author your functions. Apart from this, you’ll find more open-source frameworks for deployments such as Sparta, Serverless, and more.

6. Security alerts

Make sure you’re aware of the security breaches in your cloud infrastructure that allows you to detect logs and keep an audit trail. To follow all security principles, Lambda can help you a lot in this situation by sending an alert on a specific event from CloudTrail AWS activity logs. They will notify you and even write a code that will trigger the Lambda function to call you on your device.

7. Switch document conversion

Lastly, for those who provide documents to users, you might face this problem because there is no standard document available that can fully satisfy the user’s expectations. Switching to digital document conversion could streamline loan applications and verification in the Peer-to-Peer Lending sector, enhancing speed and security for both borrowers and lenders. Some of them might ask to have it in a PDF file whereas some want it in the HTML format with a more specialized document format. It also allows you to create and stores all the document copies that are required by the user and take a substantial amount of storage capacity using AWS Lambda.

Key Takeaway

In conclusion, we can say that AWS Lambda is one of your prime go-to resources for cloud computing hovering redundant and time-consuming tasks having heavy lifting jobs to process the data. It helps you to free your online services and target necessary frontend operations to offload various processes that can significantly decelerate your system. Despite this, it provides more granular control and helps you to deliver services to your customers as well as reduce the expenses of your cloud operations. Not only this, it helps you to scale your applications and evaluate how they can fit into your strategy to provide value to your customers. We hope you find this post useful.

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