5 个仓库
Awesome GitHub RepositoriesStateless Function Deployments
Builds and deploys stateless function code as a containerized service without requiring Dockerfile or Kubernetes expertise.
Distinct from Serverless Deployment: Distinct from Serverless Deployment: focuses on deploying stateless functions as containerized services, not general serverless code deployment.
Explore 5 awesome GitHub repositories matching devops & infrastructure · Stateless Function Deployments. Refine with filters or upvote what's useful.
Awesome Stateless Function Deployments GitHub Repositories
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- alexellis/faas
alexellis/faas
26,192在 GitHub 上查看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
Builds and deploys stateless function code as containerized services without requiring manual infrastructure boilerplate.
Go - knative/serving
knative/serving
6,064在 GitHub 上查看Kubernetes-based, scale-to-zero, request-driven compute
Builds and deploys stateless function code as a containerized service without requiring Dockerfile or Kubernetes expertise.
Goappautoscalercontainer - fnproject/fn
fnproject/fn
5,939在 GitHub 上查看The container native, cloud agnostic serverless platform.
Runs each function invocation in an isolated, ephemeral container instance with no persistent state between calls.
Gocontainersdockerfaas - nuclio/nuclio
nuclio/nuclio
5,730在 GitHub 上查看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
Deploys user functions as containerized services triggered by HTTP, message queues, streams, or schedules.
Go - inngest/inngest
inngest/inngest
5,499在 GitHub 上查看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
Registers updated function definitions with the platform after deployment to ensure the execution engine recognizes the latest code.
Go
