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Showing 21 open source projects for "so"
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1
KubeLinter
KubeLinter is a static analysis tool that checks Kubernetes YAML files
...Some common examples of these include running containers as a non-root user, enforcing least privilege, and storing sensitive information only in secrets. KubeLinter is configurable, so you can enable and disable checks, as well as create your own custom checks, depending on the policies you want to follow within your organization. When a lint check fails, KubeLinter reports recommendations for how to resolve any potential issues and returns a non-zero exit code. -
2
cAdvisor
Analyzes resource usage and performance characteristics
...This data is exported by container and machine-wide. cAdvisor has native support for Docker containers and should support just about any other container type out of the box. We strive for support across the board so feel free to open an issue if that is not the case. cAdvisor's container abstraction is based on lmctfy's so containers are inherently nested hierarchically. To quickly tryout cAdvisor on your machine with Docker, we have a Docker image that includes everything you need to get started. You can run a single cAdvisor to monitor the whole machine. -
3
Rancher
Complete container management platform
...You don’t need to figure Kubernetes out all on your own. Rancher is open source software, with an enormous community of users. Managing Kubernetes installed in your local or remote development environment is so much easier with Rancher. Now with full support for Windows containers, Istio service mesh, and enhanced security for cloud-native workloads, Rancher helps developers innovate faster and with greater confidence. -
4
OpenYurt
Extending your native Kubernetes to edge(project under CNCF)
...It addresses specific challenges for cloud-edge orchestration in Kubernetes such as unreliable or disconnected cloud-edge networking, edge autonomy, edge device management, region-aware deployment, and so on. OpenYurt preserves intact Kubernetes API compatibility, is vendor agnostic, and more importantly, is SIMPLE to use. OpenYurt follows a classic cloud-edge architecture design. It uses a centralized Kubernetes control plane residing in the cloud site to manage multiple edge nodes residing in the edge sites. -
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5
kured
Kubernetes Reboot Daemon
Kured (KUbernetes REboot Daemon) is a Kubernetes daemonset that performs safe automatic node reboots when the need to do so is indicated by the package management system of the underlying OS. -
6
Tilt
Define dev environment as code for microservice apps on Kubernetes
...And if you are an expert, no more 20 questions with kubectl. Tilt responsively handles the tedious and repetitive parts of your workflow and gives you peripheral vision so you find errors faster. Recapture the magic of hacking with immediate feedback. -
7
Rainbond
A container platform that needs no Kubernetes learning
...Rainbond is built for complex enterprise delivery scenarios such as private deployment, offline delivery, internal-network environments, Xinchuang adaptation, ARM migration, and AI application privatization. It includes marketplace and template capabilities so teams can reuse applications and replicate deployments across customer environments. Its goal is to let development and delivery teams work at the application level while platform teams handle the underlying Kubernetes complexity. -
8
faas-netes
Serverless Functions For Kubernetes
...It's part of a larger stack that brings a cloud-agnostic serverless experience to Kubernetes. The existing REST API, CLI, and UI are fully compatible. With OpenFaaS Standard/Enterprise, you have an optional operator mode so that you can manage functions with Kubectl and a CustomResource. You can deploy OpenFaaS to any Kubernetes service - whether managed or local, including to OpenShift. You will find specific instructions and additional links in the documentation. OpenFaaS (Functions as a Service) is a framework for building serverless functions with Docker and Kubernetes which has first-class support for metrics. ... -
9
Eru
Eru, a simple, stateless, flexible, production-ready orchestrator
Eru, a simple, stateless, flexible, production-ready orchestrator designed to easily integrate into existing workflows. Can run any virtualization things in long or short time. Eru can use multiple engines to run anything for the long or short term. This project is Eru Core. The Core use for resource allocation and managing resources' lifetime. After we implemented bootstrap in eru, now you can build and deploy eru with cli tool. Make sure you can clone code. After the fresh image was named... -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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10
redis-operator
Redis Operator creates/configures/manages high availability redis
...Kubernetes version: 1.21 or higher Redis version: 6 or higher. Redis operator is being tested against Kubernetes 1.25 1.26 1.27 and redis 6 All dependencies have been vendored, so there's no need to any additional downloads. -
11
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. -
12
Brigade
Event-driven scripting for Kubernetes
...It integrates with many different event sources, more are always being added, and it's easy to create your own if you need something specific. The best part is that Kubernetes is well-abstracted so even team members without extensive Kubernetes experience or without direct access to a cluster can be productive. -
13
Microsoft OpenPAI FrameworkController
General-Purpose Kubernetes Pod Controller
So, we have to learn, use, develop, deploy and maintain so many Pod controllers. Partitioned to different heterogeneous TaskRoles which share the same lifecycle. Ordered in the same homogeneous TaskRole by TaskIndex. With consistent identity {FrameworkName}-{TaskRoleName}-{TaskIndex} as PodName. -
14
Not Another Markup Language
Convert Kubernetes YAML to Golang
NAML is a Go library and command line tool that can be used as a framework to develop and deploy Kubernetes applications. Kubernetes applications are complicated, so let's use a proper Turing complete language to reason about them. -
15
kubernetes-event-exporter
Export Kubernetes events to multiple destinations with routing
This tool allows exporting the often missed Kubernetes events to various outputs so that they can be used for observability or alerting purposes. You won't believe what you are missing. Configuration is done via a YAML file, when run in Kubernetes, ConfigMap. The tool watches all the events and the user has to option to filter out some events, according to their properties. Critical events can be routed to alerting tools such as Opsgenie, or all events can be dumped to an Elasticsearch instance. ... -
16
Kubeval
Validate your Kubernetes configuration files, supports Kubernetes
Kubeval is used to validate one or more Kubernetes configuration files and is often used locally as part of a development workflow as well as in CI pipelines. The Kubernetes API allows for specifying properties on objects that are not part of the schemas. However, kubectl will throw an error if you use it with such files. Kubeval can be used to simulate this behavior using the --strict flag. Alternatively, Kubeval can also take input via stdin which can make using it as part of an automated... -
17
kube-prompt
An interactive kubernetes client featuring auto-complete.
An interactive kubernetes client featuring auto-complete using go-prompt. kube-prompt accepts the same commands as the kubectl, except you don't need to provide the kubectl prefix. So it doesn't require the additional cost to use this cli. -
18
CRFS
CRFS: Container Registry Filesystem
...Instead of downloading entire layers upfront, it fetches file ranges on demand and maintains a content-addressed cache, yielding fast startup and lower bandwidth for large images. The system speaks registry protocols and understands layered image formats, resolving whiteouts and overlays so the mounted view matches what a container runtime would see. A FUSE (or platform-equivalent) frontend makes it trivial to integrate with existing tools: compilers, test runners, or debuggers can read files as if they were local. This lazy, verified access pattern is especially valuable in CI and developer workflows where you inspect or compile a few files from a massive base image. ... -
19
Kubectl-debug
Out-of-tree solution for troubleshooting running pods
kubectl-debug is an out-of-tree solution for troubleshooting running pods, which allows you to run a new container in running pods for debugging purposes (examples). The new container will join the pid, network, user and IPC namespaces of the target container, so you can use arbitrary trouble-shooting tools without pre-installing them in your production container image. -
20
Machinehead
Application manager that deploys and maintains set of compose projects
A docker-compose application manager that deploys and maintains a set of compose projects and provides secret management for them via Vault. Machinehead is designed for single-server hobbyists who want to make use of containers and modern GitOps practices but can't since most of the tools (such as kube-applier) focus on cluster technology such as Swarm and Kubernetes. In addition to this lack of tooling, managing sensitive secrets such as database credentials on single-server deployments... -
21
Novm
Experimental KVM-based VMM for containers, written in Go
...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 direct mapping of devices needed for common development workloads. As a research vehicle, novm emphasizes hackability over feature completeness, making it useful for instrumentation experiments, educational deep dives, or bespoke CI sandboxes. ...
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