The pioneering service company Amazon has been continuously covering almost all the verticals within their services. One of its leading serverless computing services, popularly known as AWS Lambda has been a game-changer for many businesses and AWS lambda use cases are the talk of the town in the IT arena.
Table of Content
- Why to use AWS Lambda?
- AWS Lambda Opens Possibilities
All the leading names like Netflix, Cloud Guru, BlackBoard, and New York Times are using AWS Lambda in their development process. What is the reason behind it? Well, the reasons are not a handful, it’s unlimited. AWS Lambda allows you to run your code without the need for servers or even containers. Depending on how much work you feed it, AWS () Lambda will automatically scale. It can be used in data pipelines, web requests, and even to write and send emails. It’s the jack-of-all-trades approach to AWS code execution. Although AWS Lambda functions are designed to be used on the cloud, they can be used locally during development. You’ll only pay for what you use when you run Lambda on the cloud.
The AWS Lambda use cases are less spoken about and hence need to be addressed. This will enhance the confidence and trust within businesses on Amazon Web services, specifically Lambda. Keep reading because we have decided to bring out some of the killer case studies that will not only build trust but also give you a reason to try AWS Lambda functions for your company. So, let’s get started.
1. Why to use AWS Lambda?
AWS Lambda’s key advantage is that it eliminates the requirement for traditional compute services, lowering operational costs and complexity. The benefits of using AWS Lambda include speedier development, better operational management, scaling, and lower operational costs.
Lambda will also take care of frequent changes in memory utilization. One of the most preferred reasons is because It uses the fundamentals of the “Pay as you go” charging approach. With charges based on the amount of RAM utilized, the number of requests made, and the execution time in milliseconds. As a result, implementing AWS Lambda eliminates the need for traditional computing services and infrastructure. This, in turn, lowers the cost and complexity of your IT operations, speeds up development, and simplifies scaling, and also takes care of security patches.
You may argue that the advantages I just listed aren’t exclusive to AWS Lambda, but rather apply to other serverless solutions. So, what makes AWS lambda different from other serverless service providers? Let’s start with the first one
1.1 Serverless Website is an Epic Example with AWS Lambda
This is one of the most compelling use cases for Lambda’s pricing model and S3-hosted static websites. Consider putting the web frontend on S3 and using Cloudfront caching to speed up the content delivery. API Gateway HTTPS endpoints allow the web frontend to deliver queries to Lambda functions. It is feasible to run a whole website on serverless architecture and platforms using this configuration.
How does Serverless architecture work?
In a nutshell, you send your function’s code to AWS, and AWS runs it, you pay for the time the function actually gets executed in a “pay as you go, model”.
Lambda serverless architecture is capable of taking care of the application logic and storing data in a fully managed database. There are different types of databases like RDS for relational, or DynamoDB for non-relational databases which are compatible across all other platforms. You can develop a serverless framework, a fully supportive lambda interface, and other serverless cloud comparisons & services. Developing a platform that is compatible across all serverless websites becomes easier with Lambda functions.
To isolate your Lambda functions and databases from other networks, you can host them in a Virtual private connection. When it comes to Lambda, API Gateway, and S3, you only pay for the traffic you generate; the only fixed cost is the database service. Dynamic API queries can be provided via AWS Lambda in combination with API Gateway or AppSync, while static content can be stored in S3 and CloudFront. Because it is scalable across all platforms
1.2 AWS Lambda Use Case for Multi-Location Media Transformation
Multilocation media transformation- what does this mean? Well, a Lambda function can be used to alter files quickly and reliably. This could work for nearly any type of file: text, video, compressed, etc. The images in addition will be stored in an S3 bucket. The only reason this is preferred is that Lambda has the ability to create multi-platform media that enhances Amazon Lambda’s use cases. Everyone needs software that works concurrently and best at all given platforms.
Nowadays, cross-device development is required, which comes at a premium cost and necessitates a significant amount of effort from the development team. AWS Lambda can help you tackle this problem by automating the process: In the S3 bucket when you store images, you can compress or expand the size of images as per the use. Also, when altering the design, there’s no need to resize your image archive; there’s no need to store images in every format and keep previous versions. Amazon Lambda will do it on its own and manage the version controls and multi-location media transformations.
1.3 Real-time Notifications with AWS Lambda & SNS
Another use case for AWS Lambda is analyzing data metrics in order to process data in real-time and react to it. It’s not uncommon for a program, or even a website, to deal with real-time data. You can ingest data from communication devices, peripherals interacting with the physical world, and human input devices. Most of the time, this data will arrive in little bursts, or even a few bytes at a time, in easily passable formats.
However, there may be occasions when your application requires significant amounts of streaming input data, and shifting that data to temporary storage for subsequent processing isn’t the best solution. The data from the website is captured using Amazon Kinesis Stream, while Lambda automatically grows the number of functions to satisfy the stream.
You can arrange your data sources across your website using the stream-based paradigm. These data sources give information to a stream, which runs a Lambda function.
You can also use a manual invocation with the RequestResponse type. There are other benefits of real-time testing that will make the process enhanced with new features and improved customer experience. This will trigger the AWS lambda function to perform better than other cloud services.
1.4 Mass Emailing Using AWS Lambda & SES
SNS (Amazon Simple Notification Service) is in charge of topic creation and determining which subscribers will be notified. The AWS Lambda functions of messages can change it and publish it.
Every year, large organizations send billions of transactional emails, as well as newsletters and other items. It is a part of their everyday work and they have to innovate this approach every now and then. Every marketing approach now requires the use of mass emailing. It is, nevertheless, highly costly and necessitates technical knowledge.
This one is another essential use case of AWS Lambda that works best with SES (Simple email service) that is smooth by making a way in assisting and arranging an affordable in-house flow of email. Its working is also quite easy. All the user needs to do is upload a file that will push to initiate the S3 event. Trailing that the Lambda function will also get evoked adding Dynamo DB to the database. Now the email will be directly and quickly passed on to the newly added address.
1.5 AWS Lambda in Discovering Alexa
Who hasn’t heard of Alexa? It is one of the largest inventions of Artificial intelligence in the field which has digitally transformed the world. Its invention has given hope and scope to many small and large businesses to invent something on the same grounds. Amazon used AWS Lambda to develop Alexa.
As we know, Alexa is an intelligent voice-control agent by Amazon’s cloud. Amazon sells headless devices with no display or user interface. Echo, Echo Plus, Echo Dot, are just a few examples of its version or aliases.
Alexa is the technology that enables us to speak to our devices and have them reply to our commands. Alexa employs skills, which are executable commands. When you ask Alexa a question, she creates a skill that may be attached to your Lambda functions to process an event.
To do so, say “Alexa” followed by your vocal message, which is then sent to the Cloud for analysis.
1.6 Automated Backups and Everyday Tasks
When configuring EC2 instances, AWS Lambda may be used to automate activities like EBS snapshots and AMI creation. In an S3 bucket, backup images can be saved.AWS accounts can benefit from scheduled Lambda events for housekeeping. Using the boto3 Python libraries and hosted in AWS Lambda, you can quickly create backups, check for idle resources, generate reports, and other tasks that occur often in AWS services.
2. AWS Lambda Opens Possibilities
Yes, definitely there is a humongous possibility of opportunities with AWS Lambda. If you want to leverage lambda functions, you can explore all potential features of AWS lambda like AWS cloud, amazon API gateway, and other AWS services.
In businesses all across the world, AWS Lambda is supporting various businesses by offering its services that have created many use cases for reference for businesses. Lambda is adaptable and versatile, with the ability to run fundamental cloud platforms, expand legacy applications, and even enable new features like recommendation engines.
You also have a good option to trigger lambda functions when you attempt to increase the capabilities of your product or entirely restructure the way it conducts activities. It’s a lot easier to administer than traditional cloud instances, and it opens up a world of possibilities with AWS Lambda. To know more updates on other AWS services, the latest architecture, and AWS lambda function stay tuned to our blogs.