Serverless Function as a Service for Kubernetes
Build applications based on Serverless architecture so that your developers can focus on code without worrying about the servers and cost.
Run Serverless Functions Anywhere
What is Fission?
Fission allows you to code serverless functions in any language and have them run wherever you have a Kubernetes cluster - in the public cloud, on-premises, on your laptop, or at the Edge!
Fission automatically manages the infrastructure for you. You can focus on your code, while you get the most out of Kubernetes infrastructure, without requiring any in-depth knowledge of Kubernetes at scale, no containers to build or registries to manage.
Why Organisations Love Fission?
Focus on Code and not Plumbing
Developers can focus on writing the business logic, while Fission takes care of building, deploying and managing the infrastructure.
Lambda like Service Anywhere
Why get locked with your cloud provider while you can run the same serverless experience with Fission.
Pricing
Best alternative to cloud provider's serverless offering, which is more economical and flexible to your needs.
Extensible and Customizable
Code in any language without worrying about the servers.
Calculate the Savings you get with Fission
Select the number of function invocations and see how much you can save with Fission over other leading providers.
Select a tool to compare
Amazon Lambda
Azure
Google Functions
Select # of functions
No of functions: 100,000
Total Price
Fission Price
Total Savings
More than 100+ Organizations have already adopted Fission for FaaS on Kubernetes
Contributors
Stars
Forks
Join the growing community of Fission
Slack
Join the Fission community to engage with the fission team, interact with other users, and contribute ideas and feedback
Github
Dive into the code, learn more about Fission. Submit PRs and collaborate with others like-minded contributors.
Follow us @Fission to stay up date with Fission news, updates and annoucements.
Let your Developers Focus on the Code without Worrying about the Kubernetes Clusters.
