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.
Assistant to Vice President at a consultancy with 10,001+ employees
Has a rich set of services and enables us to focus on building the business functionality that we want to build
Pros and Cons
- "It's a serverless solution which is the best feature. It helps us because it offers free aspects. From the infrastructure perspective, it helps us manage costs. There is no overhead of estimating how much infrastructure we're going to need. We can focus on building the business functionality that we want to build."
- "If you are setting it up on hybrid solution, there is a lot of work that needs to go in."
What is our primary use case?
What is most valuable?
It's a serverless solution which is the best feature. It helps us because it offers free aspects. From the infrastructure perspective, it helps us manage costs. There is no overhead of estimating how much infrastructure we're going to need. We can focus on building the business functionality that we want to build.
What needs improvement?
Lambda didn't use to support all the capabilities, if you wanted to initialize it before started serving the requests, it is not possible. In the most recent upgrades, they have added this feature. There is nothing missing. If there is something missing, AWS has other solutions that covers it. I look at Lambda as a piece of AWS, working in conjunction with other solutions.
For how long have I used the solution?
I have been using AWS for two and a half years.
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AWS Lambda
March 2025

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What do I think about the stability of the solution?
We don't have any issues with stability or scalability. We have offline and online users. There are thousands of online users.
How are customer service and support?
Their support is excellent. We have no complaints. It can be expensive, we bought the enterprise support. If you don't want to spend the money, you might run into issues but that isn't the case for us.
How was the initial setup?
Everything was set up in the public cloud. We didn't need to set up a lot of things. We didn't have to connect a lot of connectivities to external applications. If you are setting it up on hybrid solution, there is a lot of work that needs to go in. You need to understand what your organization's security standards are, how the different teams are going to access the infrastructure, etc. For hybrid, it will take a lot of time but for only the public cloud, it is quite easy.
What's my experience with pricing, setup cost, and licensing?
AWS is slightly more expensive than Azure. But from a maturity perspective, AWS is way more ahead than Azure.
What other advice do I have?
I would rate it a nine out of ten. It was missing features like initialization but they are available now in the latest release.
It is good for smaller companies that don't have a lot of staff that will manage the infrastructure. It automatically scales based on the users and allocating the resources. From a cost perspective, it is quite cheap. It takes out a lot of overhead. If it's for a large company with a lot of experts, there are other good solutions.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Disclosure: My company has a business relationship with this vendor other than being a customer: partner

Site Engineer at Audio technology
You can log in with the help of a post-confirmation page
Pros and Cons
- "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 setup an instance specifically for confirmation. We used the Lambda function so that it goes back to sleep after pushing up."
- "The tool changes its UI every month which is very frustrating for me. I don’t know why AWS keeps changing the UI. They can’t stick to a specific one"
What is our primary use case?
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.
What needs improvement?
The tool changes its UI every month which is very frustrating for me. I don’t know why AWS keeps changing the UI. They can’t stick to a specific one.
What do I think about the stability of the solution?
I have not faced any stability issues with the tool.
How are customer service and support?
I know that AWS has flexible support but if I encounter any problem, then I just Google it. I get a lot of support from Google, YouTube videos, and Discord channels.
How was the initial setup?
The solution’s initial setup was neither easy nor complex. I started learning about cloud services about six to seven months ago and already had a background in it. However, the implementation was not easy since a lot of errors just popped up. I had to check the CloudWatch logs and look into the bugs in the code. It wasn’t interesting. The deployment took around two hours to complete.
What other advice do I have?
I would rate the solution a ten out of ten. The solution works fine for us and we didn’t require the need to maintain it. I didn’t face any problems working with the product.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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AWS Lambda
March 2025

Learn what your peers think about AWS Lambda. Get advice and tips from experienced pros sharing their opinions. Updated: March 2025.
845,040 professionals have used our research since 2012.
Principal Data Architect at Wells Fargo
Cost-effective solution with lightweight framework
Pros and Cons
- "AWS Lambda has improved our productivity and functionality."
- "There were some timeout issues with AWS Lambda as the options provided didn't suit our business cases."
What is our primary use case?
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.
How has it helped my organization?
AWS Lambda improved our productivity and also enabled the business teams to build their ingestion systems at ease.
What is most valuable?
AWS Lambda's best feature is the lightweight framework that allowed us to bring down a lot of boilerplate code as part of platform capabilities and give the developers an opportunity to only write business-specific logic.
What needs improvement?
There were some timeout issues with AWS Lambda as the options provided didn't suit our business cases. In the next release, AWS Lambda should include integration with an IoT.
For how long have I used the solution?
I've been using AWS Lambda for about a year.
What do I think about the scalability of the solution?
AWS Lambda scales really well.
What's my experience with pricing, setup cost, and licensing?
AWS Lambda is cost-effective, with a minimal maintenance cost.
What other advice do I have?
I would rate AWS Lambda eight out of ten.
Disclosure: My company has a business relationship with this vendor other than being a customer: Partner
Senior Software Engineer | AWS Certified Solutions Architect at Venture Garden Group
Can be easily deployed and is stable, scalable, and usage-based
Pros and Cons
- "I like the pay-for-what-you-use feature. This is the main reason why we use AWS Lambda. I don't have to manage servers; I just have to configure Lambda and expose it to an API gateway."
- "Another challenge I've noticed is that there is a limit to the environment variables such as the 4 KB limit. Although, the advice is to use parameters or other things to store the details when the limit has exceeded the data, this adds additional intensity to the application. If the size limits for environment variables can be revealed, it would be helpful. Even if we have to pay for it, at least we would know that we are not dealing with latency. So, I would like to see the size of the environment variables increased."
What is our primary use case?
We use AWS Lambda for jobs that we just want to offload to a cloud function. We are an educational institution, and if I want to upload an exam I generated for all my students, then I just write the script on AWS Lambda. That is, we use it for independent jobs that we can offload on their own.
What is most valuable?
I like the pay-for-what-you-use feature. This is the main reason why we use AWS Lambda. I don't have to manage servers; I just have to configure Lambda and expose it to an API gateway.
What needs improvement?
AWS Lambda's cold start needs to be improved. It has to warm up first, and so, the response time is slower.
Another challenge I've noticed is that there is a limit to the environment variables such as the 4 KB limit. Although, the advice is to use parameters or other things to store the details when the limit has exceeded the data, this adds additional intensity to the application. If the size limits for environment variables can be revealed, it would be helpful. Even if we have to pay for it, at least we would know that we are not dealing with latency. So, I would like to see the size of the environment variables increased.
For how long have I used the solution?
I've been using AWS Lambda for one year.
What do I think about the stability of the solution?
It's very stable.
What do I think about the scalability of the solution?
AWS Lambda is scalable; I don't need to worry about it. At present, we have less than 10 people using this solution.
How was the initial setup?
The initial setup is straightforward. It can be done on the console, and you can use the infrastructure as the code.
The deployment time can vary from 10 minutes to an hour depending on your needs and how comfortable you are with AWS Lambda.
What other advice do I have?
AWS Lambda now supports multiple languages, but find out if the language you want to use to write your jobs is supported by it. If it is supported, then you are good to go.
Because AWS Lambda is scalable and does what it's meant to do, I would rate it at nine on a scale from one to ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Global Data Architecture and Data Science Director at FH
Server-less architecture for multiple application integration, easy to use, and many programming languages available
Pros and Cons
- "The main features of this solution are the ability to integrate multiple AWS applications or external applications very quickly and organize all of them. Additionally, it is easy to use and you can run various programming languages, such as Python, Go, and Java."
- "There is room for improvement in user-friendliness. When comparing this solution to others it is not as user-friendly."
What is our primary use case?
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.
What is most valuable?
The main features of this solution are the ability to integrate multiple AWS applications or external applications very quickly and organize all of them by leveraging server-less computing power of AWS. Additionally, it is easy to use and you can run various programming languages, such as Python, Go, and Java.
What needs improvement?
There is room for improvement in user-friendliness. When comparing this solution to others it is not as user-friendly.
For how long have I used the solution?
We have been using this solution for over five years for various server-less computing on AWS. My current employer has pioneered on this technology and serving various global clients for years.
What do I think about the stability of the solution?
This solution is a serverless architecture in which you do not have to manage any infrastructure which makes it very stable.
What do I think about the scalability of the solution?
The solution is highly scalable.
We have plans to increase usage because most of the workload and applications are using this solution.
How are customer service and technical support?
The technical support is managed by AWS which is good.
Which solution did I use previously and why did I switch?
Azure Logic App & Function App, Google Pub-Sub etc.
How was the initial setup?
Managed by AWS
What's my experience with pricing, setup cost, and licensing?
The price of the solution is reasonable and it is a pay-per-use model. It is very good for cost optimization.
What other advice do I have?
I would recommend this solution to others. If you are with AWS it is better to use the serverless architecture.
I would rate AWS Lambda a nine out of ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Disclosure: My company has a business relationship with this vendor other than being a customer: Partner
Principal Solution Architect at a construction company with 51-200 employees
A Stable Serverless Event-Driven Compute Service that requires some Improvement with Memory
Pros and Cons
- "Lambda being serverless is a great feature that is appropriate for our use cases."
- "Memory limitation is one of the weaknesses of AWS Lambda and as a result, we have to use several Lambda, instead of just one. Recently, I met with an Amazon employee, who is responsible for Lambda as a product. It appears Amazon has some plans with Lambda, so I don’t have to add something to the additional features."
What is our primary use case?
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.
What is most valuable?
Lambda being serverless is a great feature that is appropriate for our use cases.
What needs improvement?
Memory limitation is one of the weaknesses of AWS Lambda and as a result, we have to use several Lambda, instead of just one.
Recently, I met with an Amazon employee, who is responsible for Lambda as a product. It appears Amazon has some plans with Lambda, so I don’t have to add something to the additional features.
For how long have I used the solution?
I have been using AWS Lambda for a couple of years.
What do I think about the stability of the solution?
I would rate the stability eight out of ten because of certain bugs in the solution.
What do I think about the scalability of the solution?
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).
How are customer service and support?
We have a special collaboration with AWS, so we have regular meetings with AWS and Amazon, to report issues and they further report it to the concerned team. We have meetings, face-to-face and evaluation meetings with them and their solution engineers.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
We previously used Azure and Volvo
How was the initial setup?
The initial setup is straightforward.
What about the implementation team?
I implemented the solution by myself because I was once a tech lead.
What's my experience with pricing, setup cost, and licensing?
I think the price is okay. However, if they add more functionality, they can have better prices. In fact, they should have better and more flexible packages for clients who have greater consumption of Lambda.
What other advice do I have?
I would rate six out of ten overall for AWS Lambda and all the Lambda solutions,. Because we don’t have the solution for each of our use cases. It is not available in various aspects and sometimes, it is not suitable.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Disclosure: I am a real user, and this review is based on my own experience and opinions.
DevOps Consultant at Nissan Digital
The solution's most valuable feature is its ability to work as a serverless application
Pros and Cons
- "It is a scalable solution."
- "They should work on the solution's stability and pricing."
What is our primary use case?
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.
What is most valuable?
The solution's most valuable feature is its ability to work as a serverless application.
What needs improvement?
They should work on the solution's stability and pricing.
For how long have I used the solution?
We have been using the solution for a year.
What do I think about the stability of the solution?
It is averagely stable.
What do I think about the scalability of the solution?
It is a scalable solution. I rate its scalability as a five.
How was the initial setup?
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.
What about the implementation team?
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.
What's my experience with pricing, setup cost, and licensing?
The solution's price is average, and I rate it as a five for pricing.
What other advice do I have?
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.
Which deployment model are you using for this solution?
Private Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Disclosure: I am a real user, and this review is based on my own experience and opinions.
CEO - Founder / Principal Data Scientist / Principal AI Architect at Kanayma LLC
Serverless compute server used for data processing type transformations from one source to a target
Pros and Cons
- "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."
What is our primary use case?
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.
How has it helped my organization?
Lambda has improved our organization by making it possible to transform data.
What needs improvement?
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.
For how long have I used the solution?
I have used this solution or a couple of years.
What do I think about the stability of the solution?
This is a fairly stable solution.
What do I think about the scalability of the 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.
How was the initial setup?
The initial setup was fairly straightforward.
What other advice do I have?
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.
Which deployment model are you using for this solution?
Public Cloud
Disclosure: I am a real user, and this review is based on my own experience and opinions.

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