A non-profit group that oversees open-source cloud computing projects recently conducted a global survey with 700 participants.
According to the results, 31% of them are already employing a serverless architecture. 77 % rely on AWS Lambda.
AWS Lambda is becoming incredibly popular for serverless application development, allowing organizations to construct more scalable software and apps than server-based applications using EC2.
What is Serverless Architecture?
Serverless applications are those that do not require any server deployment to execute.
When you operate a serverless application, you don’t have to worry about OS setup, patching, or server scaling, which you would have to think about if you were hosting your application on traditional servers.
The AWS Lambda service is a function-based, high-scale, provision-free serverless compute service. It’s solely utilizing in a serverless application’s computation layer.
AWS Lambda is using to create event-driven applications that can be triggered by a variety of AWS events. Therefore, it has changed the manner we build, architect, and host our apps over time.
The responsibility for provisioning, use cases, and pricing are the primary differences between AWS Lambda and other computing resources.
Operations teams used to allocate resources based on forecasting before agile solutions became popular. They needed to make sure the computing and memory needs were within their system’s capabilities.
Why use AWS Lambda?
AWS Lambda’s key advantage is that it eliminates the requirement for traditional compute services, lowering operational costs and complexity.
This has a number of advantages, including quicker development, better operational management, scaling, and lower operational costs.
Benefits of using AWS Lambda
- Lambda manages all of your operational and administrative tasks for you, such as capacity provisioning, fleet health monitoring, and deploying security fixes to the underlying compute resources.
- AWS Lambda and other AWS services integrate to create a reliable website without the need to manage a single server or operating system.
- You may create a cost-effective and in-house serverless email systems with AWS Lambda and Simple Email Service SES. You may instantly send HTML or text-based emails to a large number of recipients using S3 (where your mailing list will be stored).
- Lambda functions will execute your code only when called directly or when triggered by some outside event.
- It automatically scales, meaning it can handle anything from a few hundred to thousands of requests per second. So, you don’t have to manually add or remove machines.
- You will only pay for the time your code will be executed.
- NodeJS, Python, Go, Java, Ruby,.Net, and C#, etc are the current runtime environments available.
- Each AWS Lambda function has its own resources and file system view, and runs in its own isolated environment.
- You may use AWS Lambda to link your application server requirements with mass-mailing providers like SES. As a result, you’ll be able to concentrate more of the functionality your team requires under one roof.
How AWS Lambda works
Let us understand its working with an example of its use case.
SQS Example – Amazon SQS is a distributed queue system that allows web service applications to queue messages.
Let us assume our application adds all orders as payload to the SQS queue. We can either use EC2 to process those orders further or can use Lambda to poll & process payloads further. We can use anyone to process our order details like order id, name, shipping address, etc. In case of a large number of orders either continuous or random traffic, we need a heavy EC2 instance to process orders and in the case of the lambda function, it can upgrade or downgrade automatically depending upon the traffic.
What happened when we are using traditional services
- The information was passed from a web server to an application server, which subsequently queried an automobile service. A user’s inquiry is lost if an application server crashes.
- Every company is interested about cutting expenses, but traditional servers have increased both capital and operational costs for companies.
- Optimal or complete usage was never the case with traditional servers. There had always been a problem with underutilised or excess capacity. As a result, scalability became a big challenge.
When we are using AWS Lambda over traditional services
- The main advantage of the pay-as-you-go model is self-evident: you pay only for the time that you use processing the queue, lowering your operating costs. No need to pay if not processing anything.
- When messages arrive in the SQS queue, lambda functions will be automatically activated.
- The Lambda service scales up and down automatically depending on the number of in-flight messages in the queue.
- Without having to explicitly configure these steps inside your Lambda function code, successfully processed messages will be discarded and failed messages will be returned to the queue or delivered to the DLQ.
- As a result of autonomous scalability, less time will spent on service maintenance. This, once again, frees up your technical staff to focus on product development and innovation.
- Instead of creating a new copy, AWS Lambda may choose to keep an instance of your function and reuse it to serve a subsequent request to increase performance.
As a result, Lambda functions are definitely creative, low-maintenance, low-cost, scalable, and successful solutions to build Dynamics CRM services without having to host any servers.
However, Lambda functions are the way serverless applications will build in the future.
In our next blog, we will be sharing the Implementation guide for AWS Lambda Function.
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