Search Results for "mit license"
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Showing 33 open source projects for "mit license"
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kwatch
Monitor & detect crashes in your Kubernetes(K8s) cluster instantly
Monitor & detect crashes in your Kubernetes(K8s) cluster instantly. kwatch helps you monitor all changes in your Kubernetes(K8s) cluster, detects crashes in your running apps in realtime, and publishes notifications to your favorite channels (Slack, Discord, etc.) instantly. You can deploy kwatch easily on your cluster with one command. -
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chaoskube
chaoskube periodically kills random pods in your Kubernetes cluster
chaoskube periodically kills random pods in your Kubernetes cluster. Test how your system behaves under arbitrary pod failures. -
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KubeView
Kubernetes cluster visualiser and graphical explorer
Kubernetes cluster visualizer and visual explorer. KubeView displays what is happening inside a Kubernetes cluster (or single namespace), it maps out the API objects and how they are interconnected. Data is fetched in real-time from the Kubernetes API. The status of some objects (Pods, ReplicaSets, Deployments) is color-coded red/green to represent their status and health. The app auto refreshes and dynamically updates the view as new data comes in or when it changes. -
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Kubernetes Goat
Kubernetes Goat is a "Vulnerable by Design" cluster environment
Learn to attack or find security issues, misconfigurations, and real-world hacks within containers, Kubernetes, and cloud-native environments. Enumerate, exploit, and gain access to the workloads right from your browser. Understand how attackers think, work, and exploit security issues, and apply these learnings to detect and defend them. Also, learn best practices, defenses, and tools to mitigate, and detect in the real world. Learn the hacks, defenses, and tools. So that you can think like... -
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Popeye
A Kubernetes cluster resource sanitizer
Popeye is a utility that scans live Kubernetes cluster and reports potential issues with deployed resources and configurations. It sanitizes your cluster based on what’s deployed and not what’s sitting on disk. By scanning your cluster, it detects misconfigurations and helps you to ensure that best practices are in place, thus preventing future headaches. It aims at reducing the cognitive overload one faces when operating a Kubernetes cluster in the wild. Furthermore, if your cluster employs... -
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Kubent
Easily check your clusters for use of deprecated APIs
Kubernetes 1.16 is slowly starting to roll out, not only across various managed Kubernetes offerings, and with that come to a lot of API deprecations. Kube No Trouble (Kubent) is a simple tool to check whether you're using any of these API versions in your cluster and therefore should upgrade your workloads first, before upgrading your Kubernetes cluster. This tool will be able to detect deprecated APIs depending on how you deploy your resources, as we need the original manifest to be stored... -
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Faiss
Library for efficient similarity search and clustering dense vectors
Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research. Faiss contains several methods for similarity search. It... -
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Spegel
Stateless cluster local OCI registry mirror.
Spegel is a distributed container image registry mirror designed to speed up container image pulls in large-scale Kubernetes clusters. It locally mirrors container images to cluster nodes, reducing latency and bandwidth consumption during container deployments. Spegel integrates natively with containerd and CRI-O, ensuring seamless operation in container runtimes without changing workflows. It’s particularly useful for air-gapped, edge, or resource-constrained environments where access to... -
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inlets-operator
Get public TCP LoadBalancers for local Kubernetes clusters
Get public TCP LoadBalancers for local Kubernetes clusters. When using a managed Kubernetes engine, you can expose a Service as a "LoadBalancer" and your cloud provider will provision a TCP cloud load balancer for you, and start routing traffic to the selected service inside your cluster. In other words, you get ingress to an otherwise internal service. The inlets-operator brings that same experience to your local Kubernetes cluster by provisioning a VM on the public cloud and running an... -
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Postgres Operator
Postgres operator creates and manages PostgreSQL clusters
The Postgres Operator delivers easy-to-run highly available PostgreSQL clusters on Kubernetes (K8s) powered by Patroni. It is configured only through Postgres manifests (CRDs) to ease integration into automated CI/CD pipelines with no access to Kubernetes API directly, promoting infrastructure as code vs manual operations. -
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Cluster Template
A template for deploying a Kubernetes cluster with k3s or Talos
Welcome to my opinionated and extensible template for deploying a single Kubernetes cluster. The goal of this project is to make it easier for people interested in using Kubernetes to deploy a cluster at home on bare-metal or VMs. At a high level, this project makes use of makejinja to read in a configuration file which will render out pre-made templates that you can then use to customize your Kubernetes experience further. The features included will depend on the type of configuration you... -
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Corosync Cluster Engine
The Corosync Cluster Engine
The Corosync Cluster Engine is a Group Communication System with additional features for implementing high availability within applications. The project provides four C application programming interface features. A closed process group communication model with extended virtual synchrony guarantees for creation of replicated state machines. A simple availability manager that restarts the application process when it has failed. A configuration and statistics in-memory database that provides... -
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kubenav
kubenav is the navigator for your Kubernetes clusters
kubenav is a mobile, desktop and web app to manage Kubernetes clusters. The app provides an overview of all resources in a Kubernetes clusters, including current status information for workloads. The details view for resources provides additional information. It is possible to view logs and events or to get a shell into a container. You can also edit and delete resources or scale your workloads within the app. The app is developed using Ionic Framework and Capacitor. The frontend part of the... -
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Parallel executor
paexec distributes tasks over network or CPUs.
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dispy
Distributed and Parallel Computing with/for Python.
dispy is a generic and comprehensive, yet easy to use framework for creating and using compute clusters to execute computations in parallel across multiple processors in a single machine (SMP), among many machines in a cluster, grid or cloud. dispy is well suited for data parallel (SIMD) paradigm where a computation (Python function or standalone program) is evaluated with different (large) datasets independently. dispy supports public / private / hybrid cloud computing, fog / edge computing. -
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OpenPAI
Resource scheduling and cluster management for AI
OpenPAI has entered stable mode with no major feature release planned. In order to save maintenance efforts, we changed the repo to read-only mode. For collaboration, please contact repo admin directly. With the release of v1.0, OpenPAI is switching to a more robust, more powerful, and lightweight architecture. OpenPAI is also becoming more and more modular so that the platform can be easily customized and expanded to suit new needs. OpenPAI also provides many AI user-friendly features,... -
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DeepCluster
Deep Clustering for Unsupervised Learning of Visual Features
DeepCluster is a classic self-supervised clustering-based representation learning algorithm that iteratively groups image features and uses the cluster assignments as pseudo-labels to train the network. In each round, features produced by the network are clustered (e.g. k-means), and the cluster IDs become supervision targets in the next epoch, encouraging the model to refine its representation to better separate semantic groups. This alternating “cluster & train” scheme helps the model... -
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PostDock
Postgres streaming replication cluster for any docker environment
PostgreSQL cluster with High Availability and Self Healing features for any cloud and docker environment (Amazon, Google Cloud, Kubernetes, Docker Compose, Docker Swarm, Apache Mesos) -
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asyncoro
Python framework for asynchronous, concurrent, distributed programming
asyncoro is a Python framework for developing concurrent, distributed, network programs with asynchronous completions and coroutines. Asynchronous completions implemented in asyncoro are sockets (non-blocking sockets), database cursors, sleep timers and locking primitives. Programs developed with asyncoro have same logic and structure as Python programs with threads, except for a few syntactic changes. asyncoro supports socket I/O notification mechanisms epoll, kqueue, /dev/poll (and poll... -
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XCPU is a suite of tools for cluster management. It includes utilities for job starting, cluster resource management, scalable distribution of boot images as well as creation and control of virtual machines in a cluster environment.
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GGI stands for "General Graphics Interface", and it is a project that aims to develop a reliable, stable and fast graphics system that works everywhere. We want to allow any program using GGI to run on any platform requiring at most a recompile.
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ThunderstormDistributor
Distribute jobs to compute nodes on dynamic clusters
ThunderstormDistributor is a queuing system that distributes jobs and computational workload across dynamic clusters in the cloud. It manages the assignment of jobs to maximize CPU and memory usage and prevent oversubscription of compute nodes. It also performs advanced statistics collection on individual compute nodes and jobs to graph the distribution of disk, network, CPU, and memory usage over time, which facilitates the advanced optimization and tuning of computational workflows. -
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RainforestCluster
Dynamically manage Amazon EC2 clusters
RainforestCluster is an Amazon EC2 python program that manages and load-balances dynamic clusters to allow for maximum workflow flexibility and speed at minimal cost. It enables one to quickly and cheaply create dynamic compute clusters in the cloud, which can then run computational pipelines generically. It is also able to optimize the use of spot instances - idle computers in Amazon's cloud that are available at drastically reduced cost (5x-10x cheaper) - but can be terminated at any... -
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DistributedCL is a middleware that provides location-transparent GPU processing to applications developed using the OpenCL API. Moved to GitHub. https://github.com/andrelrt/distributedcl
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RPyC, or Remote Python Call, is a transparent and symmetrical python library for remote procedure calls, clustering and distributed-computing.
