AWS Lambda Reviews

AWS Lambda needs to improve its stability. 

I have been using the solution for a couple of months. 

I would rate AWS Lambda an eight out of ten. 

The solution is scalable. I would rate it around eight out of ten. 

AWS Lambda is cheap. 

I would rate the tool an eight out of ten. 

We are using the solution for creating the functionality. We store files over S3 and trigger that functionality to deploy our application. We use the solution for serverless activity. Once we store the files inside our S3 bucket, we write specific scripts in Lambda for auto-configuration. Afterward, whenever we send any data inside the S3, it gets automatically picked and deployed in the particular server.

The solution's most valuable feature is its ability to work as a serverless application.

They should work on the solution's stability and pricing.

We have been using the solution for a year.

It is averagely stable.

It is a scalable solution. I rate its scalability as a five.

The initial setup took work. I have worked on the development activity of the solution. The cloud architect of the solution needs to learn Python programming, like coding activities, to update new scripts inside Lambda. It requires a team for the process. I came across some issues during the deployment process and was able to fix them within an hour. So, fixing the problems after raising a ticket while deploying the solution takes time. I rate the setup process as two or three for a medium-level expert. Further, I rate the process as a nine for an executive with knowledge of Python programming. If everything works well, it takes 45 minutes to deploy the solution.

We took help from an Integrator to implement the solution. We were a team of a business analyst, DevOps engineers, and one developer working on the setup. We looped in another person in case we faced any issues.

The solution's price is average, and I rate it as a five for pricing.

The solution doesn't require any maintenance if you are creating an instance on your own. In case of any issues with Lambda services, you can check with their AWS support team. Also, they have provided a support portal inside the dashboard. You can ask for their help. 

AWS Lambda is a good solution. If you are well versed with Linux, AWS will be more accessible. I rate the solution as an eight out of ten.

We had to deploy some serverless Node.js applications.

The solution works for small applications. It is a serverless tool that is quick to spin up. We needn’t consider anything in the bag.

I want to see support for longer applications. I need the 15-minute time-out window to improve.

I have been using the solution for about two to three years.

The tool is stable and you can rely on it for production service.

I think there were no issues with the size of the application we used, so I didn't see any noticeable scaling issues with Lambda. It's overall a good service.

The tech support is always good but it depends on the type of plan. We use the enterprise support plan which offers quick responses.

Positive

The initial setup was straightforward.

I would rate the tool’s pricing a nine out of ten. The solution’s pricing works on a pay-as-you-go basis.

I would rate the solution a nine out of ten.

There a variety of use cases for this solution but it is mostly used for data processing type transformations from one source to a target. In instances when Lambda works well, we are planning to increase usage. 

Deployment and maintenance of Lambda requires two people but this may increase depending on the size of the deployment.

Lambda has improved our organization by making it possible to transform data.

Lambda has limitations on the amount of memory you can use and is not a good solution for long running processes. If the amount of data is reasonably small, it will run and transform successfully. If you have tons of data coming in, it stops working and you have to restart it.

The orchestration and coordination between different Lambdas could also be improved.

I have used this solution or a couple of years.

This is a fairly stable solution. 

This solution has some limitations on scalability due to the problem with coordination between the different Lambdas. Is it not very straightforward and you have to do a lot of testing.

The initial setup was fairly straightforward.

I would advise others to use it in those circumstances where it works well and to be aware of the problems with coordination and orchestration. Make sure that it doesn't have to process tons of data.

I would rate this solution a seven out of ten.

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. 

The solution runs on the latest cloud technology so it is easy to deploy cloud-native projects. 

The solution is very useful for managing triggered events. 

It can be a bit difficult to switch between accounts when creating services for customers. 

I have been using the solution for one year. 

The solution is cloud-based so of course it is stable as long as the cloud is available. 

The solution is scalable. 

We have not needed technical support. We utilize available documents that contain content for solving any issues. 

The solution is serverless computing so there is no setup. You just launch the service, write your code, and run it. 

The solution is part of the AWS subscription model that is paid annually. There is no charge for monthly usage. 

There are many calculation criteria for AWS services or licenses. It is difficult to say whether the solution reasonably priced or expensive. Each company weighs price against the benefits and efficiencies provided by the solution. 

AWS is the pioneer of cloud computing and they lead the industry in innovations. Other providers follow in AWS' footsteps to implement similar features and service levels. 

AWS has differentiated the use cases for serverless computing. Lambda is used for basic capabilities like triggered events and Fargate is used for extended capabilities. 

I started using Lambda for a specific use case and I continue to use Lambda and Fargate for use cases as recommended by AWS. 

I definitely recommend the solution and rate it a ten out of ten. 

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.

What I like best about AWS Lambda is that it's feature-rich, and I appreciate that. I also like that it's stable and supports many languages.

What could be improved in AWS Lambda is a tricky question because I base the area for improvement on a specific matrix, for example, latency, so I'm still determining if I can be the judge on that. However, room for improvement could be when you're using AWS Lambda as a backend, it can be challenging to use it for monitoring. Monitoring is critical in development, and I don't have much expertise in the area, but you can use other services such as Xray. I found that monitoring on AWS Lambda is a challenge. The tool needs better monitoring.

Another area for improvement in AWS Lambda is the cold start, where it takes some time to invoke a function the first time, but after that, invoking it becomes swift. Still, there's room for improvement in that AWS Lambda process.

In the next release of AWS Lambda, I'd like AWS to improve monitoring so that I can monitor codes better.

I've been using AWS Lambda for one year and a half.

AWS Lambda is a stable product.

I have yet to contact the AWS Lambda technical support team because I haven't experienced any difficulty with the tool.

One of the reasons my company went with AWS Lambda is that it's serverless, so you don't need to manage any server because AWS will handle it. This means that a lot of responsibilities will be taken care of by AWS, which helps you avoid many problems.

Another reason for choosing AWS Lambda is its stability. Latency is also not a problem on AWS Lambda, allowing you to use different services in your AWS account securely. For example, when you want to reach the AWS billing service, you can do it within the environment of your AWS account without an external tool, which makes it very secure. AWS Lambda also helps you reach other AWS accounts securely because it depends on roles rather than search keys or passwords.

The initial setup for AWS Lambda is straightforward. It's effortless to start using AWS Lambda.

Price-wise, AWS Lambda is very cheap. It's not free, but it's not that expensive.

I'm using the latest version of AWS Lambda because when a framework or tool is deployed on a public cloud, it's always the newest version, and you don't get to choose the version.

I'd tell first-time users of AWS Lambda, or anyone looking into using the tool, that you can deploy every application within AWS Lambda, and it's very easy to set up and deploy. You can also use it with any application regardless of language because AWS Lambda supports many languages such as Go, Bison, Node, GS, and .NET. The tool is very code-agnostic, and not coded with programming languages, so you can still use Docker images to start your AWS Lambda function, for example.

My rating for AWS Lambda is nine out of ten because of how hard AWS worked on having good latency, security, and an intuitive start. The tool supports different languages and is stable, so I gave it a high rating.

I'm a customer of AWS Lambda.

AWS Lambda's most valuable feature is serverless architecture.

There are sometimes issues following an update.

I've been using AWS Lambda for about five years. 

AWS Lambda is stable.

AWS Lambda is scalable.

The initial setup was straightforward and took only a few minutes.

AWS Lambda's cloud version isn't expensive, and I'd rate its pricing as five out of five.

I would rate AWS Lambda ten out of ten.

Lambda makes the administration of all our services related to Amazon really easy. 

The metrics and reporting for this solution could be improved. 

I have been using this solution since 2017. 

From a stability perspective, I would rate it a seven out of ten. There is some room for improvement when it comes to stability of the features. 

This is a scalable solution. I would rate it a nine out of ten in this regard. 

The initial setup is complex. 

I would recommend this solution to others. Overall, the solution has improved since we started using it in 2017. 

I would rate this solution a nine out of ten.