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vmware-archive/kubelessArchived

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6,847 Stars·740 Forks·Go·Apache-2.0·7 Aufrufekubeless.io↗

Kubeless

Kubeless is a Kubernetes-native serverless framework that deploys and runs stateless functions as custom resources managed by an in-cluster controller. It functions as a Function-as-a-Service platform, launching function runtime pods on demand and scaling them to zero when idle to optimise resource usage.

Functions are invoked automatically through HTTP requests or a publish-subscribe messaging bus, enabling event-driven execution for workloads and microservices. The platform supports running functions written in Golang, Python, Node.js, Ruby, PHP, .NET, and Ballerina, with the ability to add custom runtimes for additional languages.

The framework leverages Kubernetes APIs and primitives like ConfigMaps and Services for function configuration and networking, with a structured Custom Resource Definition schema validated by the API server. Each runtime is wrapped in a container image with a standardised execution interface, allowing multi-language function execution.

Features

  • Function-as-a-Service Platforms - A platform that deploys and runs stateless functions in response to HTTP or PubSub events without managing infrastructure.
  • Custom Resource Controllers - Deploys and manages serverless functions as Kubernetes custom resources using an in-cluster controller that reconciles desired state.
  • Event-Driven Triggers - Invokes functions automatically through HTTP requests or a publish-subscribe messaging bus for event-driven execution.
  • Serverless Function Executions - Triggers serverless functions through HTTP requests or pub/sub messaging for event-driven workloads and microservices.
  • Serverless Function Invokers - An invoker that triggers functions through HTTP requests or publish-subscribe messaging for event-driven workloads.
  • Native Kubernetes Resource Integration - Leverages Kubernetes APIs and primitives like ConfigMaps and Services for function configuration and networking.
  • Scale-to-Zero Pods - Launches function runtime pods on demand and scales them to zero when idle, optimising resource usage.
  • Custom Resource Serverless Frameworks - A serverless platform that runs functions as Kubernetes custom resources with automatic scaling and event-driven invocation.
  • Custom Resource Deployments - Deploys serverless functions as Kubernetes custom resources managed by an in-cluster controller that launches runtimes on demand.
  • Kubernetes Custom Resource Functions - Deploys and runs serverless functions as custom resources on a Kubernetes cluster with automatic scaling and lifecycle management.
  • PubSub Function Triggers - Exposes deployed functions through HTTP requests or a publish-subscribe messaging system for event-driven invocation.
  • Functional Languages - Runs functions written in Golang, Python, NodeJS, Ruby, PHP, .NET, and Ballerina with the ability to add custom runtimes.
  • Standardized Execution Interfaces - Wraps each runtime in a container image with a standardised execution interface for multi-language function execution.
  • Serverless Runtime Extensions - Adds support for additional programming languages by creating custom function runtimes for the serverless framework.
  • Multi-Language Runtimes - Runs serverless functions written in multiple programming languages including Go, Python, Node.js, Ruby, PHP, .NET, and Ballerina.

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Open-Source-Alternativen zu Kubeless

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  • nuclio/nuclioAvatar von nuclio

    nuclio/nuclio

    5,730Auf GitHub ansehen↗

    Nuclio is a high-performance serverless framework designed for Kubernetes that automatically executes user functions when events arrive from HTTP endpoints, message queues, or streaming data platforms. It processes hundreds of thousands of events per second per function instance through efficient parallel workers, and can allocate functions to run on either CPU or GPU hardware to match workload requirements for data processing or machine learning tasks. The platform scales function instances down to zero when idle and wakes them on demand based on incoming event load, while providing an event

    Go
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  • knative/servingAvatar von knative

    knative/serving

    6,064Auf GitHub ansehen↗

    Kubernetes-based, scale-to-zero, request-driven compute

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    Auf GitHub ansehen↗6,064
  • alexellis/faasAvatar von alexellis

    alexellis/faas

    26,192Auf GitHub ansehen↗

    This project is a Kubernetes serverless framework and OCI container function platform. It provides a system for deploying event-driven functions and microservices as compatible container images onto a Kubernetes cluster. The platform includes an event-driven function orchestrator that triggers executions via HTTP requests or message streams. It features an auto-scaling function manager that adjusts the number of active instances based on real-time demand and scales down to zero during inactivity. A background queuing system is included to process asynchronous tasks and maintain application re

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    Auf GitHub ansehen↗26,192
  • inngest/inngestAvatar von inngest

    inngest/inngest

    5,499Auf GitHub ansehen↗

    Inngest is a durable execution framework and event-driven automation engine designed to orchestrate background workflows. It enables developers to build resilient, stateful processes by memoizing function steps, ensuring that long-running tasks can automatically resume from the last successful operation after failures, timeouts, or infrastructure restarts. The platform distinguishes itself through its event-driven architecture, which uses a schema-validated bus to trigger functions and coordinate complex, multi-step logic. It employs an onion-model middleware approach for cross-cutting concer

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Alle 30 Alternativen zu Kubeless anzeigen→

Häufig gestellte Fragen

Was macht vmware-archive/kubeless?

Kubeless is a Kubernetes-native serverless framework that deploys and runs stateless functions as custom resources managed by an in-cluster controller. It functions as a Function-as-a-Service platform, launching function runtime pods on demand and scaling them to zero when idle to optimise resource usage.

Was sind die Hauptfunktionen von vmware-archive/kubeless?

Die Hauptfunktionen von vmware-archive/kubeless sind: Function-as-a-Service Platforms, Custom Resource Controllers, Event-Driven Triggers, Serverless Function Executions, Serverless Function Invokers, Native Kubernetes Resource Integration, Scale-to-Zero Pods, Custom Resource Serverless Frameworks.

Welche Open-Source-Alternativen gibt es zu vmware-archive/kubeless?

Open-Source-Alternativen zu vmware-archive/kubeless sind unter anderem: nuclio/nuclio — Nuclio is a high-performance serverless framework designed for Kubernetes that automatically executes user functions… knative/serving — Kubernetes-based, scale-to-zero, request-driven compute. alexellis/faas — This project is a Kubernetes serverless framework and OCI container function platform. It provides a system for… inngest/inngest — Inngest is a durable execution framework and event-driven automation engine designed to orchestrate background… firebase/firebase-js-sdk — This is a backend-as-a-service SDK that connects web and mobile applications to a suite of cloud services. It provides… kserve/kserve — KServe is a Kubernetes-native platform for deploying and serving machine learning models as scalable inference…