2018-06-04T11:26:00Z

What is your primary use case for AWS Lambda?

Julia Miller - PeerSpot reviewer
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PeerSpot user
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40 Answers

Swathi Minchala - PeerSpot reviewer
Real User
Top 5
2024-03-05T09:30:38Z
Mar 5, 2024

I have to send daily reports. We have many child accounts in AWS Organizations. We need reports on the cost of the accounts. I use AWS Lambda because we have to run the code without provisioning the servers. AWS Lambda is a serverless computing service.

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RANJAN KUMAR - PeerSpot reviewer
Real User
Top 5Leaderboard
2024-02-29T09:38:06Z
Feb 29, 2024

AWS Lambda is a serverless computing service provided by AWS. It is allowed to run the course without the provisioning or managing server and paying only for the compute time consumed during execution.

CS
Real User
Top 5
2024-02-28T21:56:26Z
Feb 28, 2024

We have one or two use cases for real-time file processing. We use the event triggers to detect file arrival.

Ashish Disawal - PeerSpot reviewer
Consultant
Top 10
2023-11-20T08:23:25Z
Nov 20, 2023

We use it primarily for image resizing in batch and scheduled jobs. Additionally, one of our clients relies on Lambda for running a continuously active custom API, handling their ongoing API requests.

AT
Real User
Top 5
2023-07-19T14:50:43Z
Jul 19, 2023

In our organization, we have a huge number of users using Lambda, approximately around 100. We are using Lambda based on several considerations like costs, and scalability and it provides us with high availability and scalability in our processes.

AN
Real User
Top 20
2023-03-16T20:48:00Z
Mar 16, 2023

We had to deploy some serverless Node.js applications.

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Hazem Shaalan - PeerSpot reviewer
Real User
Top 20
2023-03-16T14:08:00Z
Mar 16, 2023

We are building a Twitter-like application in the boot camp. I have used Lamda for the integration of the post-confirmation page in the application. This will help you get your one-time password via mail. You can log in with the help of a post-confirmation page. We didn’t want to set up an instance specifically for confirmation. We used the Lambda function so that it goes back to sleep after pushing up.

ShilpaShivapuram - PeerSpot reviewer
Real User
Top 10
2023-02-02T14:38:00Z
Feb 2, 2023

As a platform team, we had to enable a light-weight ingestion platform ensuring the aspects of governance were baked into the platform and the business teams could accelerate their cloud adoption and only develop the business logic.

MOMEN ABDELSADEK - PeerSpot reviewer
Real User
Top 5Leaderboard
2023-01-06T14:52:34Z
Jan 6, 2023

Our primary use case for AWS Lambda is a backend service module. Thanks to this solution, we do not need to worry about hardware or resource utilization. It saves us time. It saves us a lot of setup time. And, because it's our code, we will use Lambda. Lambda is the best AWS product we can use for running our code and it is very quick for the developers. All they have to do is commit their codes and, once we set up our code pipeline once after committing the code and building and deploying to our Lambda, the project will be up and running in the market. This setup is better than managing on EC2. We don't need to use EC2 in this case.

Mati Cohen - PeerSpot reviewer
Real User
Top 5
2022-12-12T15:43:20Z
Dec 12, 2022

My primary use cases for AWS Lambda is collecting data from other systems through API, pre-calculations, and ETL.

Harsha Ravnikar - PeerSpot reviewer
Real User
Top 5Leaderboard
2022-12-09T18:33:47Z
Dec 9, 2022

AWS Lambda is good because if you chop up your application into small pieces and that is something that can be accomplished as a Lambda-based solution on the cloud, you will save on the cost of your applications. The reason Amazon AWS has provided AWS Lambda is to allow people to write small pieces of application tasks that will run on Amazon's own internal servers.

Daniel Calatrava - PeerSpot reviewer
Real User
Top 5Leaderboard
2022-11-18T21:20:45Z
Nov 18, 2022

We have some services deployed that we need to consume in Lambda because it's a faster and better implementation. We have a model that microservice in the product, which we implement in AWS. For that reason, we use Lambda.

Cuneyt Gurses - PeerSpot reviewer
Real User
Top 5Leaderboard
2022-11-07T18:36:11Z
Nov 7, 2022

Our company uses the solution as a function engine to deploy triggered events for customers. We have a team of twelve developers and our deployments have 1,000 to 2,000 customers during peak times.

MW
Real User
Top 5
2022-11-02T16:24:21Z
Nov 2, 2022

AWS Lambda is mainly used for automation. To simplify, in AWS Lambda, I define a function, and I can invoke that function or feature whenever I want and on schedule. For example, if I have data to collect daily from different services, I schedule the AWS Lambda function to do that, and it does the job. That's one of the use cases of the tool. Another use case for AWS Lambda is when you have multiple servers running and need to shut down the servers at night. You can configure an AWS Lambda function that would shut down the servers every night on schedule. You can also use it as a backend and invoke it through API, so you deploy your backend from an AWS Lambda function, then link it with the API gateway, then you can invoke your function through the API.

DouglasStein - PeerSpot reviewer
Real User
Top 5Leaderboard
2022-10-10T20:47:00Z
Oct 10, 2022

There's a lot of use cases. The solution is used for immediate processing, so it's used everywhere. When data comes in, you process a Lambda function to tag it and categorize it. I've used Lambda functions to process inbound videos to make them smaller. I've used a Lambda function as a serverless backend for a customer-facing app, so I didn't have servers running.

KA
Real User
Top 20
2022-08-15T16:48:41Z
Aug 15, 2022

It is used for capturing data through an API.

GM
Real User
Top 20
2022-08-05T13:07:17Z
Aug 5, 2022

I am using AWS Lambda for building web and mobile applications.

VinayKumar2 - PeerSpot reviewer
Real User
Top 5Leaderboard
2022-08-01T17:38:18Z
Aug 1, 2022

We use AWS Lambda extensively for our maintenance work, for our products, and in our daily actions. We try to move some data based on alerts in certain situations and events. For example, if we are using queues based on the queue methods, we prefer to trigger different Lambdas for different functions (to enable some functionality across products). There are also a few Lambdas for audits. There are a few Lambdas for backups and many other use cases.

Ibrahim-Rasras - PeerSpot reviewer
Real User
Top 20
2022-07-15T14:00:24Z
Jul 15, 2022

AWS Lambda is used for the whole surface, it does the backups, and schedules, and learns some of the core functionalities but it can depend on the topic or application. The solution is used to build APIs and many other functions

Shaamil Ashraff - PeerSpot reviewer
Real User
Top 5Leaderboard
2022-06-03T12:32:44Z
Jun 3, 2022

We have used Lambda for batch processing for specific schedules. We have used Lambda for different bot functions that run regularly, check certain things, and handle completes. In one of the implementations, we created Lambda using for the backend process. A majority of Lambda functions are used for backend processing, that is, for batch processes.

VG
Real User
2022-02-16T17:36:58Z
Feb 16, 2022

AWS Lambda is used to write developer codes in Python. It is a place we can run where we can run our codes.

AS
Real User
2022-01-28T17:56:06Z
Jan 28, 2022

I am using AWS Lambda to set up real-time notifications and backup transfers.

SJ
Real User
2021-12-17T16:16:00Z
Dec 17, 2021

We are primarily using AWS Lambda for real-time API services. We use AWS Redshift to support our Lambda code functions. This solution is cloud-based.

CO
Real User
2021-12-15T14:55:00Z
Dec 15, 2021

We are using the latest version. We use the solution for the building of small applications.

Naresh Rayakwar - PeerSpot reviewer
Real User
Top 5Leaderboard
2021-11-19T17:33:00Z
Nov 19, 2021

My primary use case for this solution is usually for event-driven architecture. Since it's AWS, it's cloud-based.

VR
Real User
2021-09-30T14:03:40Z
Sep 30, 2021

Lambda can be used for automating AWS resources. It can also be used for automation outside of the cloud and for serverless applications. With Lambda, you can apply the code directly.

DT
Real User
2021-09-29T15:19:49Z
Sep 29, 2021

We use AWS Lambda for several things. We are using it, for instance, to do authentication of information from HTTP sites. We use it for alerting when monitoring the direct database infrastructure, and we use it for API transformation.

DC
Real User
2021-07-11T12:32:44Z
Jul 11, 2021

The product is primarily used to deploy code and provision a software solution to your clients when they don't have the time. You don't have to pay for the servers and the uptime.

AM
Real User
ExpertModerator
2021-05-29T06:31:52Z
May 29, 2021

AWS Lambda enables server-less architecture for seamless orchestration. We use the solution for various orchestrations. This is very useful when you would need to perform orchestrations of the different applications together. Many organisations are using this solution for web and mobile applications at scale.

WT
MSP
2021-05-05T11:23:08Z
May 5, 2021

The product serves as a function as a service, a serverless environment, you can say. It's a serverless environment, or, as some people call it, function as a service, FaaS. We have been using it as a mobile backend. We have a mobile frontend, a mobile application, which uses the AWS Lambda functions running in the cloud. It serves as an API backend for a mobile application that is running in the frontend.

SS
Real User
2021-03-10T08:43:36Z
Mar 10, 2021

It is useful in many scenarios. For example, in a microservices architecture where serverless functionality is required, one can use Lambda.

FL
Real User
2020-11-29T05:34:00Z
Nov 29, 2020

AWS Lambda has serverless programming, like Logic Apps from Azure. You just configure the run-time and then they start coding. It is event-driven. It started with my obtaining Salesforce. Salesforce is a low-code and non-code program and totally SAS. Everything starts from the event, from the trigger. You get the trigger and you work at the program. You have some other models, maybe faster or fancier models. But in my opinion, this kind of program is started by locating the system and identifying where the trigger and entry point of the program are. Then you get the full advantage of the program. You don't need to worry about any infrastructure. I think this is the future. Compared with the EC2, you don't have to pay anything if you don't run it. Otherwise, with EC2 when our client provisions the system and the instances, you always have to pay. There are other tremendous advantages, like flexibility. After you provision EC2 you can write something that does not totally follow the cloud convention. You use it to provision the container. With the program you need to have those 10 principles of cloud computing. Especially recently, within the past four or five years, I have gotten away from DevOps, or the software development life cycle. Even though I researched the product portfolio from DevOps and then the life cycle for DevOps, I try to position myself as an architect with hands-on experience. In my opinion, Lambda is very similar to Salesforce, which is the original for the SaaS platform and is an extremely low-code environment. With Microsoft and AWS you can say, "Okay. You can choose whatever language you need to make it even more flexible." Everything is the cloud. Lambda is a fully managed service. If you want to do it either as a private cloud or on-premise, I'm sure you can do that, too. But I don't know how to manage the pricing structure. But then you've lost the point of Lambda because if you do not use it, you do not pay. Again, I just want to emphasize, I'm not a Lambda expert. But, logically thinking, the big advantage of serverless programming for the customer is that you just use it and pay. Pay and go. You don't need to provision anything. All my experience with AWS Azure is on the public cloud. We do not get too deep. In IBM we do. When we do sales training we always get the private cloud on-premise. There are many reasons for this. One reason is that IBM lost the battle for the public cloud so we get into it much deeper. We go to the enterprise and we can deploy programs to your data center and offices. But for the tech data for AWS and Azure, we are all using the public cloud as a showcase when we talk to the customer and to the retailer.

PZ
Real User
2020-11-21T15:05:19Z
Nov 21, 2020

We have some APIs and we use some mechanisms to process these APIs. Normally, some APIs need to be hosted by some servers. However, with this product, we can compute everything serverless.

AW
Real User
2020-10-14T06:37:00Z
Oct 14, 2020

We are a startup, and we are doing faster and cheaper storage for IT. We are going to offer our storage services in about two months, and we are starting with AWS. We do lossless compression using microservices. We do the compute in a lossless compression way similar to gzip, WinZip, or PKZIP, except that we are giving a discount to customers. The product that we are developing is not yet in the market. We are doing alpha testing for select customers who are using AWS. The biggest advantage is that you get faster storage without doing a forklift upgrade, and you get 35% cheaper storage. So, you get 2X faster storage with a 35% to 50% lower monthly bill. We use AWS Lambda to encode and decode data. I work on the encode and decode software. I am working with a cloud developer. He works on the Lambda deliverable and wraps my C code with his C++ wrappers. They get bundled together with no JS stuff.

YK
Real User
Top 5
2020-04-19T07:40:00Z
Apr 19, 2020

Our primary use case is for our financial institutions. We use it for many customers that we work with. We develop solutions for our customers and run them on AWS. We wanted to build the solution on the public cloud and out of all the public cloud providers, AWS is the best. It has a rich set of services.

it_user1222389 - PeerSpot reviewer
Real User
2020-03-03T08:47:00Z
Mar 3, 2020

Primarily, I work with all my clients to provide them with solutions. We are a service company, so we work with clients to define and build applications that resolve their need for automation issues. I create the solutions, and then there is a delivery team of mine which works to deliver that solution to the client.

AP
Consultant
2020-01-29T11:22:00Z
Jan 29, 2020

We have only used it for a few services. It's still in POC mode. We haven't done any production on it currently.

Ravi Satyanarayana - PeerSpot reviewer
Real User
Top 20
2019-09-27T06:08:00Z
Sep 27, 2019

We use this solution for a mobile banking application with the ability to scale as per demand and to focus on core business functions rather than the platform.

HV
MSP
2019-05-05T19:07:00Z
May 5, 2019

Our primary use case for Lambda is for serverless computing in our project. We have an environment in AWS with Lambda, EC2, S3, SQS, RDS, and Redshift. Our Lambda function is triggered whenever a new object is put into S3. It will validate, extract data from S3 then input metadata into MySQL and put the main data into Redshift as the data warehouse. An SQS message will be created so our Application in EC2 is alerted that there is new data to have processed.

it_user876690 - PeerSpot reviewer
Real User
2018-06-04T11:26:00Z
Jun 4, 2018

I back up my MongoDB, that database has user data. The performance of AWS Lambda has been fine.

AWS Lambda is a compute service that lets you run code without provisioning or managing servers. AWS Lambda executes your code only when needed and scales automatically, from a few requests per day to thousands per second. You pay only for the compute time you consume - there is no charge when your code is not running. With AWS Lambda, you can run code for virtually any type of application or backend service - all with zero administration. AWS Lambda runs your code on a high-availability...
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