AWS Lambda Reviews & Product Details

I love that AWS Lambda lets us run our code without managing servers, making it an ideal choice for creating serverless services. Being a full-stack developer, it helps me build scalable backends and automate database queries efficiently. The ability to pay only for what I use is fantastic as it reduces costs and means I am only charged when my code is running. This 'pay as you use' model is preferred because it saves time on backend maintenance and lets us focus resources on more important tasks. The ease of integrating AWS Lambda with other services like S3 and API Gateway is a big plus for me. Additionally, setting it up was quite easy, thanks to the ample technical documents and videos available for learning. Review collected by and hosted on G2.com.

We can't use some other services alongside AWS Lambda like Azure or Google Cloud in a seamless way. The cold start takes a while to initialize. Review collected by and hosted on G2.com.

It integrates by default with other languages like Python, Node, etc. It offers a complete serverless architecture, which makes it user-friendly. We don’t need to worry about CPU, RAM, or storage issues, and it’s also cost-efficient. Review collected by and hosted on G2.com.

As of nothing to dislike everything is in the right path Review collected by and hosted on G2.com.

1. A serverless service, which can be used for automating the work. ex: volume backup, scheduling the stopping of unused servers

2. Implementation is easy; creating the function is very easy. and it lets u run code according to your coding language

3. As a user, we do not need to maintain; by default, AWS will manage.

4. Triggers can be added for the invocation of other services, such as s3, and event driven process

5. it reduces the human efforts for getting the reports from databases as well.

6. one function can be used for many types of work. Support for lambda is quick Review collected by and hosted on G2.com.

There are limitations that lambda can only execute for 15 min, if there is any function that needs to operate above 15 min then lambda is not suitable service. also the memory , disck space are limited only, thes which makes few operations tough Review collected by and hosted on G2.com.

AWS Lambda makes it easy to run code without managing servers, which significantly reduces operational overhead. Implementation is fast, especially when integrated with other AWS services like API Gateway, S3, and DynamoDB. It scales automatically, supports frequent use for event-driven workloads, and offers a strong set of features for building modern, serverless applications. The pay-per-use pricing model is efficient, and AWS documentation and support are reliable. Review collected by and hosted on G2.com.

Debugging and monitoring can be challenging compared to traditional server-based applications, especially for complex workflows. Cold start latency can impact performance for certain use cases, and local development and testing are not always straightforward. While integration within AWS is excellent, portability outside the AWS ecosystem is limited. Review collected by and hosted on G2.com.

AWS Lambda is easy to use and straightforward to implement. It also offers a lot of features and is easy to integrate with other services. Review collected by and hosted on G2.com.

Lambda functions are stateless by design, so they require external services for state management. Also, if a function hasn’t been used for a long time, it may experience a cold start. Review collected by and hosted on G2.com.

What I like most about AWS Lambda is its serverless architecture, which removes the need to manage infrastructure. It lets me focus on writing and deploying code, without having to worry about provisioning, configuring, or maintaining servers.

Another big advantage is how smoothly it integrates with other AWS services such as S3, API Gateway, and CloudWatch. That integration makes it straightforward to build event-driven applications and automate workflows.

I also appreciate its scalability and cost efficiency. Lambda scales automatically based on demand and uses a pay-per-use model, so I’m only paying for the compute time I actually consume. Review collected by and hosted on G2.com.

One of the biggest drawbacks of AWS Lambda is cold-start latency, especially for functions that aren’t invoked often. This can introduce small delays in response times, which may affect performance for real-time applications.

Another limitation is execution time and resource constraints. Lambda functions have a maximum runtime and restricted memory/CPU options, which can make them a poor fit for long-running tasks or resource-intensive workloads.

Debugging and monitoring can also be challenging. Although CloudWatch provides logs, tracing and troubleshooting issues across multiple Lambda functions and connected services can quickly become complicated, particularly in distributed architectures.

Finally, managing dependencies and deployment packages can be somewhat cumbersome, especially as applications grow larger. Review collected by and hosted on G2.com.

I love that I don’t have to worry about servers at all. I just write my code, upload it, and AWS runs it for me whenever it’s needed. It scales automatically if 1 person uses my app or 10,000 persons Lambda handles it without me doing anything extra. Plus, I only pay when the code actually runs, so it’s often cheaper than keeping a server running all the time. Review collected by and hosted on G2.com.

Sometimes there is a small delay the first time a function runs, which can be an issue for real-time apps. Also, you can’t control the underlying server or install custom system-level software Lambda works best when your code fits neatly into its model.

And debugging or monitoring can be trickier than a regular server, though tools like CloudWatch help. Review collected by and hosted on G2.com.

The serverless works perfectly with AWS. I use a lot of triggers, and they work perfectly with my code. You can focus on code and deployment without worrying about handling the rest of the code. My experience with payment has been good, with the run code of autopayment. Review collected by and hosted on G2.com.

When you use it a lot,it need time to start again and repsonse times also become slower Review collected by and hosted on G2.com.

I like AWS Lambda because it runs code without managing servers scales automatically and you only pay when it runs. It also works smoothly with others AWS services, making development faster and easier.implementation is easy.i have use lambda in my most of use case. Review collected by and hosted on G2.com.

The debugging and monitoring can be harder compared to traditional servers and limited execution time. Review collected by and hosted on G2.com.

Code is completely free and I have trial it with not require upgrade, it can be start, everytime, I can try to upload code with ZIP and image, it like AI and it will be complete code.

AWS Lambda shines with its ability to run code without provisioning or managing servers, making deployment incredibly fast and efficient. It automatically scales based on demand, so you only pay for what you use—down to the millisecond. Plus, its seamless integration with other AWS services like S3, DynamoDB, and API Gateway makes building complex applications surprisingly smooth. Review collected by and hosted on G2.com.

AWS Lambda can become expensive at scale, especially when functions are invoked frequently or run for extended durations. The cost model—based on number of requests and execution time—can be hard to predict, making budgeting tricky for complex applications. Additionally, integrating Lambda with other AWS services may incur extra charges, increasing the overall product cost beyond just the function itself. Review collected by and hosted on G2.com.