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OpenFaaS

35
128
+ 1
16
Serverless

971
877
+ 1
21
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OpenFaaS vs Serverless: What are the differences?

What is OpenFaaS? Serverless Functions Made Simple for Kubernetes and Docker. Serverless Functions Made Simple for Docker and Kubernetes.

What is Serverless? The most widely-adopted toolkit for building serverless applications. 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.

OpenFaaS and Serverless can be categorized as "Serverless / Task Processing" tools.

OpenFaaS and Serverless are both open source tools. It seems that Serverless with 30.9K GitHub stars and 3.43K forks on GitHub has more adoption than OpenFaaS with 14.8K GitHub stars and 1.17K GitHub forks.

Decisions about OpenFaaS and Serverless
Tim Nolet

When adding a new feature to Checkly rearchitecting some older piece, I tend to pick Heroku for rolling it out. But not always, because sometimes I pick AWS Lambda . The short story:

  • Developer Experience trumps everything.
  • AWS Lambda is cheap. Up to a limit though. This impact not only your wallet.
  • If you need geographic spread, AWS is lonely at the top.
The setup

Recently, I was doing a brainstorm at a startup here in Berlin on the future of their infrastructure. They were ready to move on from their initial, almost 100% Ec2 + Chef based setup. Everything was on the table. But we crossed out a lot quite quickly:

  • Pure, uncut, self hosted Kubernetes — way too much complexity
  • Managed Kubernetes in various flavors — still too much complexity
  • Zeit — Maybe, but no Docker support
  • Elastic Beanstalk — Maybe, bit old but does the job
  • Heroku
  • Lambda

It became clear a mix of PaaS and FaaS was the way to go. What a surprise! That is exactly what I use for Checkly! But when do you pick which model?

I chopped that question up into the following categories:

  • Developer Experience / DX 🤓
  • Ops Experience / OX 🐂 (?)
  • Cost 💵
  • Lock in 🔐

Read the full post linked below for all details

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Pros of OpenFaaS
Pros of Serverless
  • 5
    Open source
  • 3
    Ease
  • 3
    Autoscaling
  • 2
    Community
  • 2
    Documentation
  • 1
    Async
  • 12
    API integration
  • 6
    Supports cloud functions for Google, Azure, and IBM
  • 2
    Lower cost
  • 1
    Auto scale
  • 0
    Openwhisk

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What is OpenFaaS?

Serverless Functions Made Simple for Docker and Kubernetes

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 OpenFaaS?
What companies use Serverless?

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What tools integrate with OpenFaaS?
What tools integrate with Serverless?

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What are some alternatives to OpenFaaS and Serverless?
Knative
Knative provides a set of middleware components that are essential to build modern, source-centric, and container-based applications that can run anywhere: on premises, in the cloud, or even in a third-party data center
Nuclio
nuclio is portable across IoT devices, laptops, on-premises datacenters and cloud deployments, eliminating cloud lock-ins and enabling hybrid solutions.
Kubeless
Kubeless is a Kubernetes native serverless Framework. Kubeless supports both HTTP and event based functions triggers. It has a serverless plugin, a graphical user interface and multiple runtimes, including Python and Node.js.
Fission
Write short-lived functions in any language, and map them to HTTP requests (or other event triggers). Deploy functions instantly with one command. There are no containers to build, and no Docker registries to manage.
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.
See all alternatives
Interest over time