A true serverless, simple AWS service, with auto scaling, easy to implement and costing as per the usage Review collected by and hosted on G2.com.

Limited execution time makes it unsuitable for the task, which requires a longer execution time Review collected by and hosted on G2.com.

I like most about the AWS lambda is .

1. It'server less execution means no need to provision or manage server .

2.This functions run only on when triggered(s3upload,API gateway request) .

3. cost effective , we need to pay only for the compute time. Review collected by and hosted on G2.com.

Dislike about AWS Lambda are

1. Slow start, functions are takes extra time during initialization .

2.Long time execution limits .

3.Complex in debugging the functions . Review collected by and hosted on G2.com.

AWS Lambda is easy to use and simple to implement, especially for event-driven workflows. It integrates seamlessly with other AWS services, which makes building automation and serverless APIs very smooth. We use it frequently for scheduled jobs and lightweight backend tasks. The feature set is strong, with support for layers, versioning, and multiple runtime options. Customer support is decent, backed by solid documentation, although response times can vary. Overall, Lambda is a reliable and efficient serverless compute option. Review collected by and hosted on G2.com.

Cold starts can be frustrating at times, and debugging or monitoring distributed serverless functions is harder compared to traditional applications. Review collected by and hosted on G2.com.

The connectivity with aws bedrock and also the interation with the other resource and also the lex connectivity with the salesforce and the code deployment and logs Review collected by and hosted on G2.com.

The logs which we get is often takes time somtimes to update and also the code testing in the enviroment is taking time to debug and give the output. Review collected by and hosted on G2.com.

AWS handles all the operational heavy lifting, including provisioning, patching, OS maintenance, and capacity management.You are only charged for the actual time your code executes, billed in 100-millisecond increments.Lambda functions are easily triggered by a wide variety of events from over 200 other AWS services.Lambda runs your code on a highly available compute infrastructure and manages fault tolerance across multiple Availability Zones, ensuring high resilience without extra effort.This allows developers to focus entirely on writing application logic. Review collected by and hosted on G2.com.

Functions have a maximum execution time of 15 minutes, limiting their use for heavy, long-running batch jobs.Because code runs in a managed, ephemeral environment, attaching debuggers is impossible. Local testing is difficult to mirror properly.Leveraging framework tools (e.g., SAM, Serverless Framework) helps manage configuration and deployment, though it doesn't solve the core debugging issues.Unlike a persistent server, Lambda creates a new environment for concurrent requests. Review collected by and hosted on G2.com.

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.

I like that AWS Lambda is serverless, which makes for quick and easy deployment of services in the cloud. It integrates with a lot of other tools, which is really handy. I also appreciate the many features it offers for deploying code, like versioning, a built-in IDE, APIs, and AWS command access. Setting it up was pretty easy too. Review collected by and hosted on G2.com.

Sometimes the boot-up time is slow. Also, maybe provide a free tier package, for deploying small functions with low traffic. 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.

I like AWS Lambda because it's simple and easy to run code without managing the server. It's scalable and cost-effective. I also like how easily AWS Lambda integrates with other AWS services, including S3, API Gateway, and DynamoDB. The initial setup was fairly straightforward for our team. Review collected by and hosted on G2.com.

Cold start delay doesn't always work well, which can slow things down a bit, especially for the function that aren't invoked often. Review collected by and hosted on G2.com.