Scalability is an in-house feature of AWS Lambda, it can scale well.

My team in the company is using this solution. I do not know how many other teams in the company might be using it.

We plan to use the solution in the future because there is always a use case for it.

I rate the scalability of AWS Lambda a ten out of ten.

This solution is scalable. We have hundreds of thousands of users, so everything in Lambda gets used a little bit at a time in different parts of the process. We have plans to increase our usage in the future. 

The tool is scalable. 

This solution can scale up to thousands of instances in a very short time without any delay. It is very fast.

My impression is that this solution is 100% scalable. The Lambda function is the most powerful product that the developer needs. 

We have one Lambda used by 50 to 100 people, and then we have another Lambda method that could be used by thousands.

It is endlessly scalable. In terms of its users, Lambda is typically baked into the middle of an application somewhere. Our ad platform solution is a fully-automated IoT solution. So, there are no people involved. The whole thing is automated from end to end. So, sometimes people don't even come into the equation.

The solution can scale. We can add more users to it. We have ten to 15 people on the product right now. They are developers. 

More than five people are using the solution in our organization.

I rate the scalability an eight out of ten. We have more than 100 users.

The solution is scalable for users because it is serverless. You can provision IAM users and easily give them access.

We scaled a core from one million to ten millions runs with no issues.  

We have five developers using Lambda. 

This is a scalable solution. I would rate it an eight or nine. You can have 999 Lambda instances running at a particular second at one time. That is the default. It you need to scale above this, you can request for AWS to increase your capacity.

I didn't experience the scalability personally, only from my reading. Amazon takes care of the scalability. That's the right way. It's automatic and it's fully managed. That's one benefit of Lambda.

We have all kinds and sizes of resellers. There are large enterprises and small businesses. It's different. And some of them are product based, they are creating their own products. Some of them are consultant based. It's really different. Tech data is different vs. a business model.

The scalability is notably high, I would rate it nine out of ten. Approximately sixty percent of my clients are utilizing this approach. While I serve two major organizations, the majority of my clientele consists of small and medium-sized businesses.

The solution is scalable. 

The product scales well. If a company needs to expand, it should be possible to do so.

We have more than 5,000 users on the solution currently.

AWS Lambda is scalable. There are some concurrency issues where threshold values play a role. We might end up making a request to increase those threshold values or the limit quota, but otherwise, it's pretty decent.

The scalability of AWS Lambda is good.

We have approximately 1.3 million users using the application that uses the solution. We have 10,000 to 20,000 new users added every month.

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

AWS Lambda scales really well.

It is highly scalable. You can use any of the features I mentioned, and you can write a number of functions in one project. We already use around twenty-five functions in one project.

I would rate the scalability of this solution a 10, on a scale of one to 10, with one being not scalable and 10 being very scalable.

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.

 I would rate the scalability eight out of ten because we have certain limitations in terms of memory and size. I see it as a gradual shift of mindset rather than limitation, where AWS Lambda is trying to incorporate everything according to the industry standards, which is everything is domain-driven design and suppression of microservices. Some people even have issues with the User Interface (UI).

The solution is scalable, and I rate it a ten out of ten.

The scalability is excellent and there is no capacity limit. 

The solution is scalable.

The solution is highly scalable. 

We have plans to increase usage because most of the workload and applications are using this solution.

In our organization, there are around 300 users of AWS Lambda. We have plans to increase our usage. 

Its scalability is great. We write an encode function, and my cloud developer turns that into an AWS Lambda instance. We then write a decode function, and he turns it into another AWS Lambda instance. We just hook it up and use an API gateway for doing the security check, encryption, and other things.

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

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.

AWS Lambda is scalable; I don't need to worry about it. At present, we have less than 10 people using this solution.

Scalability-wise, AWS Lambda is an eight out of ten.

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

This solution is scalable. 

I think, eventually, we will increase our usage. We need to move some of our services to Lambda. 

We have multiple applications. Most of our applications are Lambda-based, I would say there are around a hundred at this point.

The solution is highly scalable and also very cost-efficient. You only pay for the time, the duration of time and that's in maybe seconds, microseconds. You pay very little until you have very large-scale users. It is ideal for startups who want to deploy applications on the cloud.

While internally only our developers really use the solution, the mobile application is used by thousands of users globally.

We do plan to increase usage and will be adding more functions to our application.

AWS Lambda is scalable.

AWS Lambda is in the cloud which makes it scalable.

I have worked in many companies that have used this solution and some of them had a lot of users.

Lambda definitely is scalable and to a great extent because it does not require any kind of additional infrastructure for the clients. It just is just a lot less trouble to deploy. You can extend and auto-scale to any level. So, the scalability is very good.  

Our clients are large-sized enterprise businesses so certainly the product can scale up to meet their needs.  

I would not say it's scalable in terms of usage. As the demands increase it is scalable. But if the lambda need more time to process it's not scalable beyond 15 mts.

The scalability of AWS Lambda needs to improve.

We have more than 100 users using this solution in my organization.

This is a scalable solution. 

It is very scalable.

Many things are on running on the site, so there is no issue with scalability.

It is a scalable solution.

We have many users, but it is based on volume and the number of transactions, not by the number of users.

The solution scales very well. If a company needs to expand it, it can do so.

Its scalability is always based on how much software there is. It's actually virtually building out. The API can scale up automatically. And if the API calls go down, then the system slows in real-time.

All my clients are using the product. All the projects I push to my clients are on Lambda.

We have not had any problems with the scalability of the solution. We currently have roughly 100 users working with it. 

The solution is sufficiently scalable. 

We have plans to increase its usage. 

It is flexible and scalable. I have a couple of customers who are using Lambda. They are from the banking domain.

AWS Lambda is scalable. 

As the solution is on-cloud, it is already scalable. 

You do not have to scale AWS Lambda, it automatically scales for you.

AWS Lambda is used on a daily basis.

We only have a few people who used this solution. I have two teams.

The scalability is hard for me to see from where I sit because I have a very small company, but I can imagine that it's going to be an issue.

The solution is very scalable. We just allocated a very small number of requirements to Lambda. We've still found it to be very scalable.

We are a technology company, so we do not have many users. Most are developers, engineers, and architects.

This is a very scalable solution.

At this time, we don't anticipate increasing our usage.

This solution is best suited for medium to large-sized companies.

It is easy to expand the platform.