Open Source Container Management Software - Page 2
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NVIDIA device plugin for Kubernetes
NVIDIA device plugin for Kubernetes
The NVIDIA device plugin for Kubernetes is a Daemonset that allows you to automatically Expose the number of GPUs on each node of your cluster. Keep track of the health of your GPUs. Run GPU-enabled containers in your Kubernetes cluster. -
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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 need to run and then ensures that those services are deployed safely, efficiently, and in a manner that is easy for the teams to maintain. Rather than managing Kubernetes YAML files, PaaSTA provides a simplified schema to describe your service and in addition to configuring Kubernetes it can also configure other infrastructure tools to provide monitoring, logging, cost management etc. -
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Sealed Secrets for Kubernetes
A Kubernetes controller and tool for one-way encrypted Secrets
Sealed Secrets provides declarative Kubernetes Secret Management in a secure way. Since the Sealed Secrets are encrypted, they can be safely stored in a code repository. This enables an easy-to-implement GitOps flow that is very popular among the OSS community. Sealed Secrets offers a powerful CLI tool (kubeseal) to one-way encrypt your Kubernetes Secret easily. The Sealed Secrets controller will decrypt any Sealed Secret into its equivalent Kubernetes Secret. Sealed Secrets are safe to store in your local code repository, along with the rest of your configuration. -
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gVisor
Application Kernel for Containers
gVisor is an application kernel developed by Google that provides a strong layer of isolation between applications and the host operating system. Written in Go, it implements a Linux-compatible system call interface that runs entirely in user space, creating a secure sandboxed environment for containers. Unlike traditional virtual machines or lightweight syscall filters, gVisor follows a third approach that offers many of the security benefits of virtualization while maintaining the speed, resource efficiency, and flexibility of containers. Its key runtime, runsc, integrates seamlessly with container ecosystems such as Docker and Kubernetes, making it easy to deploy sandboxed workloads using familiar tools. By intercepting and safely handling syscalls from applications, gVisor reduces the attack surface of the host kernel, mitigating risks associated with running untrusted or potentially malicious code in containerized environments. -
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Status
Minimal docker container status panel
A minimal docker container management panel written in Python / Flask. Before installing this project, please, make sure you have installed docker and docker-compose. -
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Sysdig Inspect
A powerful opensource interface for container troubleshooting
Sysdig Inspect is a powerful opensource interface for container troubleshooting and security investigation. Inspect's user interface is designed to intuitively navigate the data-dense sysdig captures that contain granular system, network, and application activity of a Linux system. Sysdig Inspect helps you understand trends, correlate metrics and find the needle in the haystack. It comes packed with features designed to support both performance and security investigations, with deep container introspection. -
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Colima
Container runtimes on macOS (and Linux) with minimal setup
Container runtimes on macOS (and Linux) with minimal setup. -
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Harvester
Open source hyperconverged infrastructure (HCI) software
Harvester is a modern, open, interoperable, hyperconverged infrastructure (HCI) solution built on Kubernetes. It is an open-source alternative designed for operators seeking a cloud-native HCI solution. Harvester runs on bare metal servers and provides integrated virtualization and distributed storage capabilities. In addition to traditional virtual machines (VMs), Harvester supports containerized environments automatically through integration with Rancher. It offers a solution that unifies legacy virtualized infrastructure while enabling the adoption of containers from core to edge locations. Harvester is an enterprise-ready, easy-to-use infrastructure platform that leverages local, direct attached storage instead of complex external SANs. It utilizes Kubernetes API as a unified automation language across container and VM workloads. -
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Kaniko
Build Container Images In Kubernetes
kaniko is a tool to build container images from a Dockerfile, inside a container or Kubernetes cluster. kaniko doesn't depend on a Docker daemon and executes each command within a Dockerfile completely in userspace. This enables building container images in environments that can't easily or securely run a Docker daemon, such as a standard Kubernetes cluster. -
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Lens
Lens - The way the world runs Kubernetes
Lens is a Kubernetes IDE designed to simplify the management, monitoring, and troubleshooting of cloud-native applications. It provides a unified, context-aware graphical interface that allows developers and DevOps teams to interact with Kubernetes clusters more efficiently. Lens enables users to visualize workloads, inspect resources, and manage deployments without relying heavily on command-line tools. It supports multiple clusters simultaneously, making it easier to operate complex distributed environments. Widely adopted across organizations, Lens helps teams learn Kubernetes faster and streamline their workflows. Overall, it serves as a powerful productivity tool for managing Kubernetes infrastructure at scale. -
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Multus-CNI
A CNI meta-plugin for multi-homed pods in Kubernetes
Multus CNI enables attaching multiple network interfaces to pods in Kubernetes. Multus CNI is a container network interface (CNI) plugin for Kubernetes that enables attaching multiple network interfaces to pods. Typically, in Kubernetes each pod only has one network interface (apart from a loopback) -- with Multus you can create a multi-homed pod that has multiple interfaces. This is accomplished by Multus acting as a "meta-plugin", a CNI plugin that can call multiple other CNI plugins. The quickstart installation method for Multus requires that you have first installed a Kubernetes CNI plugin to serve as your pod-to-pod network, which we refer to as your "default network" (a network interface that every pod will be created with). Each network attachment created by Multus will be in addition to this default network interface. -
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OptScale
FinOps and MLOps platform to run ML/AI and regular cloud workloads
Run ML/AI or any type of workload with optimal performance and infrastructure cost. OptScale allows ML teams to multiply the number of ML/AI experiments running in parallel while efficiently managing and minimizing costs associated with cloud and infrastructure resources. OptScale MLOps capabilities include ML model leaderboards, performance bottleneck identification and optimization, bulk run of ML/AI experiments, experiment tracking, and more. The solution enables ML/AI engineers to run automated experiments based on datasets and hyperparameter conditions within the defined infrastructure budget. Certified FinOps solution with the best cloud cost optimization engine, providing rightsizing recommendations, Reserved Instances/Savings Plans, and dozens of other optimization scenarios. With OptScale, users get complete cloud resource usage transparency, anomaly detection, and extensive functionality to avoid budget overruns. -
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kube-state-metrics
Add-on agent to generate and expose cluster-level metrics
kube-state-metrics (KSM) is a simple service that listens to the Kubernetes API server and generates metrics about the state of the objects. (See examples in the Metrics section below.) It is not focused on the health of the individual Kubernetes components, but rather on the health of the various objects inside, such as deployments, nodes and pods. kube-state-metrics is about generating metrics from Kubernetes API objects without modification. This ensures that features provided by kube-state-metrics have the same grade of stability as the Kubernetes API objects themselves. In turn, this means that kube-state-metrics in certain situations may not show the exact same values as kubectl, as kubectl applies certain heuristics to display comprehensible messages. kube-state-metrics exposes raw data unmodified from the Kubernetes API, this way users have all the data they require and perform heuristics as they see fit. -
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kubecolor
colorizes kubectl output
Colorize your kubectl output. kubecolor colorizes your kubectl command output and does nothing else. kubecolor internally calls kubectl command and try to colorize the output so you can use kubecolor as a complete alternative of kubectl. It means you can write this in your .bash_profile. -
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podinfo
Go microservice template for Kubernetes
Podinfo is a tiny web application made with Go that showcases the best practices of running microservices in Kubernetes. Podinfo is used by CNCF projects like Flux and Flagger for end-to-end testing and workshops. -
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ChaosBlade
An easy to use and powerful chaos engineering experiment toolkit
ChaosBlade is an Alibaba open source experimental injection tool that follows the principles of chaos engineering and chaos experimental models to help enterprises improve the fault tolerance of distributed systems and ensure business continuity during the process of enterprises going to cloud or moving to cloud-native systems. Chaosblade is an internal open-source project of MonkeyKing. It is based on Alibaba's nearly ten years of failure testing and drill practice and combines the best ideas and practices of the Group's businesses. -
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Kubermatic Kubernetes Platform
The Central Kubernetes Management Platform For Any Infrastructure
Kubermatic Kubernetes Platform is in an open source project to centrally manage the global automation of thousands of Kubernetes clusters across multicloud, on-prem and edge with unparalleled density and resilience. Kubermatic Kubernetes Platform Community Edition (CE) is available freely under the Apache License, Version 2.0. Kubermatic Kubernetes Platform Enterprise Edition (EE) includes premium features that are most useful for organizations with large-scale Kubernetes installations with more than 50 clusters. To access the Enterprise Edition and get official support please become a subscriber. -
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Kubie
A more powerful alternative to kubectx and kubens
kubie is an alternative to kubectx, kubens, and the k on prompt modification script. It offers context switching, namespace switching, and prompt modification in a way that makes each shell independent from others. It also has support for split configuration files, meaning it can load Kubernetes contexts from multiple files. You can configure the paths where Kubie will look for contexts, see the settings section. Kubie also has other nice features such as kubie exec which allows you to execute commands in a context and a namespace without having to spawn a shell and kubie lint which scans your k8s config files for issues and informs you of what they are. -
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audit2rbac
Autogenerate RBAC policies based on Kubernetes audit logs
audit2rbac takes a Kubernetes audit log and username as input, and generates RBAC role and binding objects that cover all the API requests made by that user. -
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Actions Runner Controller (ARC)
Kubernetes controller for GitHub Actions self-hosted runners
Actions Runner Controller (ARC) is a Kubernetes operator that orchestrates and scales self-hosted runners for GitHub Actions. With ARC, you can create runner scale sets that automatically scale based on the number of workflows running in your repository, organization, or enterprise. Because controlled runners can be ephemeral and based on containers, new runner instances can scale up or down rapidly and cleanly. You can set up ARC on Kubernetes using Helm, then create and run a workflow that uses runner scale sets. -
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Constellation
Constellation is the first Confidential Kubernetes
Constellation is a distributed confidential computing platform developed by Edgeless Systems. It allows developers to run Kubernetes-native applications in secure enclaves across multiple machines, ensuring end-to-end encryption and trusted execution for workloads. Built on top of Kubernetes and using technologies like Intel SGX and Gramine, Constellation guarantees that not even infrastructure operators can access data or code, making it ideal for privacy-sensitive workloads and multi-party computation scenarios. -
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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. -
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Draft
Tool for developers to create cloud-native applications on Kubernetes
Draft makes it easier for developers to build applications that run on Kubernetes. The draft create command gives developers the artifacts they need to build and run their applications in Kubernetes. The draft-up command builds the container image for an application and deploys it to Kubernetes. Draft targets the "inner loop" of a developer's workflow: as they hack on code, but before code is committed to version control. -
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Gatekeeper
Policy Controller for Kubernetes
A customizable cloud-native policy controller that helps enforce policies and strengthen governance. Gatekeeper makes managing policies on top of Kubernetes easy. Policies can be enforced at admission time or at runtime via the audit functionality. Gatekeeper is powered by the Open Policy Agent (OPA) project. Using OPA allows you to write policies that are powerful, flexible, and portable. Browse the policy library to find existing policies that fit your use case. Each policy in the library can be extended and customized to fit your needs. -
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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 Canary Rollouts to your ML deployments. It enables a simple, pluggable, and complete story for Production ML Serving including prediction, pre-processing, post-processing and explainability. KServe is being used across various organizations.
