Need advice about which tool to choose?Ask the StackShare community!
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn MorePros of AWS Lambda
Pros of Lambdacult
Pros of Serverless
Pros of AWS Lambda
- No infrastructure129
- Cheap83
- Quick70
- Stateless59
- No deploy, no server, great sleep47
- AWS Lambda went down taking many sites with it12
- Event Driven Governance6
- Extensive API6
- Auto scale and cost effective6
- Easy to deploy6
- VPC Support5
- Integrated with various AWS services3
Pros of Lambdacult
Be the first to leave a pro
Pros of Serverless
- API integration14
- Supports cloud functions for Google, Azure, and IBM7
- Lower cost3
- Auto scale1
- Openwhisk1
Sign up to add or upvote prosMake informed product decisions
Cons of AWS Lambda
Cons of Lambdacult
Cons of Serverless
Cons of AWS Lambda
- Cant execute ruby or go7
- Compute time limited3
- Can't execute PHP w/o significant effort1
Cons of Lambdacult
Be the first to leave a con
Cons of Serverless
Be the first to leave a con
Sign up to add or upvote consMake informed product decisions
No Stats
- No public GitHub repository available -
- No public GitHub repository available -
What is AWS Lambda?
AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.
What is Lambdacult?
In our experience, API Gateway is often a major contributor to costs when running serverless APIs on top of AWS Lambda. We want to make it more affordable to call Lambdas over HTTP(S) while also being easier to setup.
What is Serverless?
Build applications comprised of microservices that run in response to events, auto-scale for you, and only charge you when they run. This lowers the total cost of maintaining your apps, enabling you to build more logic, faster. The Framework uses new event-driven compute services, like AWS Lambda, Google CloudFunctions, and more.
Need advice about which tool to choose?Ask the StackShare community!
What companies use AWS Lambda?
What companies use Lambdacult?
What companies use Serverless?
What companies use Lambdacult?
No companies found
What companies use Serverless?
Sign up to get full access to all the companiesMake informed product decisions
What tools integrate with AWS Lambda?
What tools integrate with Lambdacult?
What tools integrate with Serverless?
What tools integrate with AWS Lambda?
What tools integrate with Lambdacult?
What tools integrate with Serverless?
Sign up to get full access to all the tool integrationsMake informed product decisions
Blog Posts
+47 54
72306
+43 18
5235
+26 15
5378
+23 12
6566
+42 53
21847
What are some alternatives to AWS Lambda, Lambdacult, and Serverless?
Azure Functions
Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems.
AWS Elastic Beanstalk
Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.
AWS Step Functions
AWS Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows. Building applications from individual components that each perform a discrete function lets you scale and change applications quickly.
Google App Engine
Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.
AWS Batch
It enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. It dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted.