AWS Lambda Reviews & Product Details

The option to save on EC2 or server cost is the best we could have, of course there is a tech debt we need to consider but always spin up services faster is great Review collected by and hosted on G2.com.

The requirements to have cloud watch as scheduler, now with functions is easy Review collected by and hosted on G2.com.

Lambda in conjunction with serverless architecture is a strong part of the future of the cloud. It is easy to scale, don't have to worry about availability, and is much cheaper than running a EC2 server. Review collected by and hosted on G2.com.

Logs and debugging can be hard - especially if there are dozens if not thousands of function invocations Review collected by and hosted on G2.com.

Very easy to deploy and setup small services with AWS-Lambda without setting up an infrastructure Review collected by and hosted on G2.com.

The pricing can be less with docker containers above a limit Review collected by and hosted on G2.com.

Used as part of restful api setup, Lamda's were great for functions with short execution times.

Not having to provision servers yourself was a huge leap forward for us. Review collected by and hosted on G2.com.

Sometimes when we needed to some slightly more heavy lifting, like downloading or updating large amounts of data, we have to find work arounds. This is fair enough, but just something to be aware of. Review collected by and hosted on G2.com.

There are a million amazing things to speak when it comes to amazon lambda. To begin with, imagine you have some code, maybe multiple API calls, or the chatbot needs to redirect the NLP data to Alexa, but you do not know all the configurations that need to be done, with deployment as well as connections configuration. And here comes lambda, a code that can manage multiple tasks for you. For example, you have your participant's data in the S3 bucket. Now, as soon as the participant submit'ss his file(let us say a sketch) into this folder, a trigger calls your lambda function. Here, the hero enters and save the day by doing whatever is necessary. If you want, your lambda function can point to an AWS SNS service that tells the user in an email that his entry has been successfully submitted. And with that too, it can perform some simple tasks like uploading the data to the judges folders, or complex tasks like performing an image analysis, and finding the desired result on the basis of ML decided. You can configure and limit it to the users who can access it, how much memory it can take, and what triggers are connected to and from it. It is amazing awesome , the only thing you need to be careful with is the Access key and token secret. Review collected by and hosted on G2.com.

The first and foremost thing that I did not like is the documentation that AWS had done for the eclipse plugins, hence same goes for lambda as well. I had a hard time trying to figure out ways to do things in lambda all by myself or Stackoverflow. Along with that, the UI for lambda is good, but not suggestive and has no intellisense kind of technology supporting it. It would have been amazing if, as soon as I upload my code, amazon lambda would automatically do the predicted configuration based on my code, like finding and setting up the handler method, etc. Review collected by and hosted on G2.com.

The best thing about lambda function is that it is expensive and serverless. Review collected by and hosted on G2.com.

The execution time limit of 5 mins. What if I want to run a python code that might need more than that hard execution timeout, it won't let me. I will have to switch it to EC2 instance in such cases that will end up costing me fortune Review collected by and hosted on G2.com.

Quick way to deploy some code to run without the requirements of building or maintaining a new instance Review collected by and hosted on G2.com.

Inability to run Ruby code, applications are limited to short run times and require a variety of services Review collected by and hosted on G2.com.

It's a serverless technique to manage your application.

You could hook it up to cloudwatch, logs and other aws services for advanced functionalities Review collected by and hosted on G2.com.

It does not have support for C or C++ programming languages. Review collected by and hosted on G2.com.

Extremely easy to deploy with serverless framework. Simple to set up integrations with other AWS services. Review collected by and hosted on G2.com.

Needs wider language support. Wish there were official support for serverless. Review collected by and hosted on G2.com.

If you're considering AWS Lambda, you should look at "Chalice", a microframework for Python that's very much like Flask.

With Chalice, you are carefully guided through the process of setting up your first microservice in Python. It comes out of the box with sample code to do a “hello world” service, and from that sample code the entire set of Lambda packaging is built for you. There are a surprisingly large number of moving parts to actually get a Lambda function running; Chalice’s build system hides most of those from you at the start.

Lambda's best feature is the ability to set up a microservice and run it without running your own server. This looks promising for small to medium scale processing needs that are sufficiently bursty that provisioning your own server would either be overkill (because your loads are too low to justify $15/mo minimum ticket) or underkill (because the $15/mo server would be overwhelmed one hour a month, and you can't justify 10x compute for that one hour). Review collected by and hosted on G2.com.

Like all AWS services, Lambda leads to vendor lock-in. Building a complex system on top of Lambda means you are putting yourself at risk of not being able to move off of AWS in the future without a lot of complex development and special server development. Review collected by and hosted on G2.com.