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Learn MorePros of AWS Lambda
Pros of KintoHub
Pros of Serverless
Pros of AWS Lambda
- No infrastructure128
- Cheap82
- Quick69
- Stateless58
- No deploy, no server, great sleep47
- AWS Lambda went down taking many sites with it11
- Event Driven Governance6
- Easy to deploy6
- Extensive API6
- Auto scale and cost effective6
- VPC Support5
- Integrated with various AWS services3
Pros of KintoHub
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Pros of Serverless
- API integration14
- Supports cloud functions for Google, Azure, and IBM7
- Lower cost2
- Openwhisk1
- Auto scale1
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Cons of AWS Lambda
Cons of KintoHub
Cons of Serverless
Cons of AWS Lambda
- Cant execute ruby or go6
- Compute time limited2
- Can't execute PHP w/o significant effort0
Cons of KintoHub
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Cons of Serverless
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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 KintoHub?
KintoHub is an all-in-one platform to combine and deploy your backend services, websites, cron jobs, databases and everything your app needs in one place.
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.
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What companies use KintoHub?
What companies use Serverless?
What companies use KintoHub?
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What tools integrate with AWS Lambda?
What tools integrate with KintoHub?
What tools integrate with Serverless?
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What are some alternatives to AWS Lambda, KintoHub, 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.