AWS Lambda Reviews & Product Details

It is easy to implement a full scale backend with ease of integration with the existing frontend solution. Review collected by and hosted on G2.com.

Sometimes it can take time in configuring functions and also it is costly. Review collected by and hosted on G2.com.

It eliminates the need to configure or maintain servers and automatically scales up downbased on demand. Review collected by and hosted on G2.com.

Time taking to initialise when it's invoked start again. The execution time should be increased from just 15 minutes. Review collected by and hosted on G2.com.

With AWS Lambda we can develop & Run Applications without thinking about the servers and related stuff.

AWS Lambda manages all stuff and it only bills you for what you use, so you will only pay for the time and memory consumed for the execution.

AWS Lambda supports all major programming languages like python, JS, Ruby etc

We can integrate with many other aws services easily Review collected by and hosted on G2.com.

Lambda only supports 250 MB of app size beyond we might need to use external storages Review collected by and hosted on G2.com.

Very efficient and fast way of programming without setting up any infrastructure.

Highly scalable and reliable.

Supports most of the pivotal programming languages like node, python and java. Review collected by and hosted on G2.com.

Sometimes there can be issues like slowness during cold start while running the lambda function for the first time. Review collected by and hosted on G2.com.

AWS Lambda simplifies serverless development with automatic scaling, seamless AWS integration. It’s versatile, developer-friendly, and eliminates the need to manage servers. Review collected by and hosted on G2.com.

AWS Lambda's main drawbacks include cold start latency, which can impact performance, and the 15-minute execution limit, restricting long-running tasks. Debugging and monitoring can also be complex without additional tools, increasing costs. Review collected by and hosted on G2.com.

With AWS Lambda, you pay only for the compute time you consume. There are no charges when your code isn't running, making it a cost-effective option for applications with fluctuating usage. Review collected by and hosted on G2.com.

AWS Lambda can experience latency during "cold starts," which occurs when a function is invoked after a period of inactivity. This can lead to slower response times for certain applications, especially in high-performance environments. Review collected by and hosted on G2.com.

It makes management of cloud easy help in cost reduction less human intervention required to keep the cost of IT infrastructure less. Using lamda function to perform stop and startup of ec2 instances is one of the best case to reduce the cost for running servers. Review collected by and hosted on G2.com.

Bit complex and need more coading capabilities with experience on different programming modules are required to create a lamda function. Review collected by and hosted on G2.com.

We just need to focus on our code and rest lambda function will take care of everything Review collected by and hosted on G2.com.

Sometime we need extra compute to, there are some cold start issues Review collected by and hosted on G2.com.

AWS Lambda provides a way to to just you code with any headache of actually managing the underlying hardware or infrastructer since it is not hosted on a dedicated service server it is called serverless computing but still does require a server to run just not a dedicated one.

Billing system for AWS Lambda is what is unique lets say you run a piece of code on lamda and takes about 1 second to complete , you are only charged for that 1 second of computation and also first 1000 runs are free from aws. Also very easy to implement and can be in any number of ways offering support for numourous languages like nodejs, python.etc. In a sense you are just writing in funtion, thats why it is often called lambda funtions.

Customer Support is really top notch , was faing some cinnectivity issue, got in touch with a tech support within an hours got all the necessary documentation and all the peace of code I was missing. Review collected by and hosted on G2.com.

If your funtions are being run base on some aws triggers and it perfoming normal computation or making chnages inside your AWS host then it well and but as soon as you step of AWS it starts to show its limitations, if you want to run some code and get the output from outside the AWS then you can do so through API Gateway but adding Authortization and Poilicies becomes quite complex if you have not done it before. Review collected by and hosted on G2.com.

For a project we integrated AWS Lambda with GitLab. For that we used OpenId connect method for both of them to integrate. First we need to add GITLAB as an identity provider in AWS IAM dashboard, then we need to create a role for gitlab and add the audience also as Gitlab there. Then we need to copy the ARN of this role and add it as variable in Gitlab. This would create a connection between AWS and Gitlab. We need to give that IAM role access permission for AWS Lambda. Then we can access AWS Lambda function by calling it in the CI script which a gitlab.ci.yml file. This was how I integrated AWS Lambda with Gitlab. It was super easy and I was able to do all that setup in no time. I have also used AWS lambda to fetch data from RDS. Where I wrote a lambda function in python, triggered it through API gateway then the Lambda function fetched code from RDS.

Python codes work very easily and efficiently in AWS Lambda. Lambda is really very important service, our team in my organisation use it extensively. I have written some Lambda functions which delete all the services in everyones aws account in my organisation after 9 PM which is after office hours unless I have made an exception. Which is quite handy. It helps in reducing exccesive billing of unused services. First I tried it for my account and now my whole organisations accounts have these Lambda functions and that has significantly reduced hundreds of dollars for us. In AWS Lambda is that we do not need to provision or manage any kinds of servers. We only need to write lambda function and the AWS Lambda executes functions in response to events. Lambda supports multiple languages.

Another best thing about lambda is it scales automatically according to traffic and we do not need to do anything for that. Also in AWS Lambda we are only billed for the compute time and not for the time we store the code which makes it very cost effective.Lambda can be easily integrated with various Aws services easily. We can also deploy applications on Lambda. These are all the things i liked about lambda. Review collected by and hosted on G2.com.

Lambda has cold start issues that means if we are using a function after long time the is little latency.The AWS Lambda code we need to write for java is very diificult and very long. The maximum execution time for lambda function is 900 sec I think if we need more we would have to use other service. Sometimes when we dont use a lambda function for very long It results in delayed executed which can affect some applications where we need high latency. One problem I faced a lot with AWS Lambda is that when put in private VPC it was not working properly. It was not able to make connection to RDS even when provided with VPC Endpoints connect to RDS. These are things that i dislike about Lambda. Review collected by and hosted on G2.com.