AWS Lambda Reviews & Product Details

Very simple & easy to use in order to deploy a little piece of code.

Lot of runtime are available :

- Python (2.7... 3.8)

- Node.js (10, 12)

- Java (8, 11)

- Golang (1.x)

- Ruby (2.5, 2.7)

More over, you don't pay when there is no activity. Review collected by and hosted on G2.com.

When deploying a lambda, you have to know what a VPC is. It's a pity to care about network.

More over, you have to take care about cold start : when using heavy runtime, the first request may be long to start. Review collected by and hosted on G2.com.

Lambda function provides inline code editor which is really helps to quick changes in code Review collected by and hosted on G2.com.

lambda function has shared memory due to that it cause some issue although it can be achieved from the coding Review collected by and hosted on G2.com.

Integration support for so many languages, and there is no server needed for the perfect serverless architecture solution. Review collected by and hosted on G2.com.

It has cold start issues with the programming languages like Java. Review collected by and hosted on G2.com.

Ability to write code is different languages is what I like in aws lambda Review collected by and hosted on G2.com.

Nothing to loathe as such. Can improve compute time though Review collected by and hosted on G2.com.

There are a lot of things best about AWS Lambda. AWS Lambda is a serverless service which means we don't have to worry about server management. Just upload the code and run it. You only pay for what you have executed. The price of the AWS Lambda service is too less. It can be integrated with many other AWS services making it useful for developing micro-services, cron-based or event-based services, REST APIs, etc. We don't have to worry about its high availability or auto scaling as it is a fully managed serverless AWS service. Review collected by and hosted on G2.com.

The execution time should be increased as 15 minutes of execution time is sometimes where less. Also, we should get an option to modify the processing power (CPU) separately and not by the memory (RAM). Also, we should get the capability to run as many Lambdas as possible in parallel at a time by making this option selectable at the time of creating the AWS Lambda function so that we don't have to worry about requesting the increase in this soft limit as well as let us know the maximum hard limit for this configuration beforehand. Review collected by and hosted on G2.com.

As its name, Lambda is very easy to deploy, manage and very reliable in terms of scaling Review collected by and hosted on G2.com.

Not support inline editor for Go, as language, i use most Review collected by and hosted on G2.com.

The best thing about it is simple, just charge as to what you're using and it's open source! Without the need to control the operational service pile, focus purely on the script you have to do. I including how to create code by using the Web or mobile app. It is also always updated to make use of the latest features. Review collected by and hosted on G2.com.

We create less scripting servers that are used to automate our infrastructure. This enables data to be easily parsed and business logic performed and transmitted to the next necessary service Review collected by and hosted on G2.com.

1) No need to manage server

2) Support Cloud

3) Lamda allow to create API for many language

4) Easy to show log using cloud watch Review collected by and hosted on G2.com.

need to subscribe plan base on requirement (Need to pay some money ) Review collected by and hosted on G2.com.

1. Running my code in a container at a faster pace.

2. I don't need to worry about the infrastructure

3. Hassle free scaling based on business requirements and traffic

4. Consistency in performance while scaling containers

5. Most important- billing is optimised with millisecond usage Review collected by and hosted on G2.com.

1. Not suitable for high memory consumptive apps as it has large memory footprint is up to ~3000Mb

2. The maximum payload supplied to a function is up to ~6Mb only (request/response) for synchronous calls and 128Kb for asynchronous calls

3. Any deployment package larger than 50Mb is not allowed directly rather need to upload the same to s3 bucket. Review collected by and hosted on G2.com.

I would like thanks to the AWS community for this awesome product with its simplicity and ability to write code in any languages. We are using AWS Lambda to upload data from API to store in AWS and that is very fast and efficient. Review collected by and hosted on G2.com.

Sometimes I felt that cost is a matter of concern apart from that I don't have any. Review collected by and hosted on G2.com.