Search Results for "networking monitoring source code"
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Showing 8 open source projects for "networking monitoring source code"
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1
CNI
Container Network Interface - networking for Linux containers
...Because of this focus, CNI has a wide range of support and the specification is simple to implement. As well as the specification, the CNI repository contains the Go source code of a library for integrating CNI into applications and an example command-line tool for executing CNI plugins. A separate repository contains reference plugins and a template for making new plugins. The template code makes it straight-forward to create a CNI plugin for an existing container networking project. CNI also makes a good framework for creating a new container networking project from scratch. -
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Microsoft eXecution Container (MXC)
Policy-driven, layered isolation and containment
Microsoft eXecution Containers, or MXC, is a sandboxed code execution system for running untrusted code across Windows, Linux, and macOS. It is designed for model outputs, plugins, tools, and other code that needs controlled execution boundaries. The project provides a unified JSON configuration schema and a TypeScript SDK while supporting multiple containment backends. Its backends include process containers, Windows Sandbox, LXC, Bubblewrap, Seatbelt, microVM-based options, Hyperlight,... -
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DevOps
Contains learning resources related to DevOps tools and tech
I created this repository to keep my learning, notes, and code in one place for various tools in DevOps. Now, it's helping thousands of learners, practitioners, and professionals every day in their DevOps journey. -
4
k8s_PaaS
How to deploy to PaaS/DevOps
k8s_PaaS is a hands-on Chinese tutorial project for building a complete PaaS and DevOps platform on top of Kubernetes. It teaches users how to deploy and connect core infrastructure components such as Kubernetes, Dashboard, Harbor, Jenkins, local GitLab, Apollo, Prometheus, Grafana, Spinnaker, Zookeeper, etcd, and related services. The repository is structured as a practical learning path with real deployment code, architecture design notes, operational screenshots, and extensive comments.... -
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5
PaaSTA
An open, distributed platform as a service
PaaSTA is a highly-available, distributed system for building, deploying, and running services using containers and Kubernetes. PaaSTA has been running production services at Yelp since 2016. It was originally designed to run on top of Apache Mesos but has subsequently been updated to use Kubernetes. Over time the features and functionality that PaaSTA provides have increased but the principal design remains the same. PaaSTA aims to take a declarative description of the services that teams... -
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KServe
Standardized Serverless ML Inference Platform on Kubernetes
KServe provides a Kubernetes Custom Resource Definition for serving machine learning (ML) models on arbitrary frameworks. It aims to solve production model serving use cases by providing performant, high abstraction interfaces for common ML frameworks like Tensorflow, XGBoost, ScikitLearn, PyTorch, and ONNX. It encapsulates the complexity of autoscaling, networking, health checking, and server configuration to bring cutting edge serving features like GPU Autoscaling, Scale to Zero, and... -
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lmctfy
lmctfy is the open source version of Google’s container stack
...Although it has since been archived in favor of the broader ecosystem, the code remains a reference for how to map kernel primitives to service-oriented container management. Its design encouraged explicit ownership of resources and stable container identities, which simplified monitoring and policy enforcement. Engineers studying container history use it to understand early patterns that informed today’s runtimes. -
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Novm
Experimental KVM-based VMM for containers, written in Go
novm is an experimental, minimalist virtual machine monitor that explores running Linux guests with a streamlined user-space control plane. Its goal is fast, scriptable VM lifecycle management—boot, snapshot, pause, resume—without the heft of a full cloud stack. The design favors small, understandable code paths around KVM and tap networking so developers can reason about isolation and performance trade-offs. It showcases patterns like process-per-VM supervision, concise configuration, and...
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