Search Results for "cluster"
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Showing 118 open source projects for "cluster"
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1
Online Boutique
Sample cloud-first application with 10 microservices
...The application is a web-based e-commerce app where users can browse items, add them to the cart, and purchase them. Google uses this application to demonstrate the use of technologies like Kubernetes, GKE, Istio, Stackdriver, and gRPC. This application works on any Kubernetes cluster, like Google Kubernetes Engine (GKE). It’s easy to deploy with little to no configuration. -
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Genv
GPU environment management and cluster orchestration
Genv is an open-source environment and cluster management system for GPUs. Genv lets you easily control, configure, monitor and enforce the GPU resources that you are using in a GPU machine or cluster. It is intended to ease up the process of GPU allocation for data scientists without code changes. -
3
ScrapydWeb
Web app for Scrapyd cluster management
...You can select any number of Scrapyd servers by grouping and filtering, and then invoke the HTTP JSON API of Scrapyd on the cluster with just a few clicks. -
4
sparkmagic
Jupyter magics and kernels for working with remote Spark clusters
...Ability to capture the output of SQL queries as Pandas dataframes to interact with other Python libraries (e.g. matplotlib). Send local files or dataframes to a remote cluster (e.g. sending pretrained local ML model straight to the Spark cluster) Authenticate to Livy via Basic Access authentication or via Kerberos. -
Cut Data Warehouse Costs up to 54% with BigQueryBigQuery delivers up to 54% lower TCO than cloud alternatives. Migrate from legacy or competing warehouses using free BigQuery Migration Service with automated SQL translation. Get serverless scale with no infrastructure to manage, compressed storage, and flexible pricing—pay per query or commit for deeper discounts. New customers get $300 in free credit.
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Kubespray
Deploy a Production Ready Kubernetes Cluster
...To ensure auto-updates don't break your cluster look into e.g. yum version lock plugin or apt pin). The target servers must have access to the Internet in order to pull docker images. Otherwise, additional configuration is required. The target servers are configured to allow IPv4 forwarding. If using IPv6 for pods and services, the target servers are configured to allow IPv6 forwarding. -
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Elasticsearch MCP Server
A Model Context Protocol (MCP) server implementation
This MCP server implementation provides interaction capabilities with Elasticsearch and OpenSearch, enabling functionalities such as document searching, index analysis, and cluster management through a set of tools. -
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Blueprint MCP
Diagram generation for understanding codebases and system architecture
...Security and access control are built in so administrators can assign roles, manage secrets, and enforce network policies across cluster resources. -
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K8s MCP Server
K8s-mcp-server is a Model Context Protocol (MCP) server
An MCP server that enables AI assistants like Claude to securely execute Kubernetes commands, providing a bridge between language models and essential Kubernetes CLI tools for cluster management and deployments. -
9
Kubeasz
Install K8S cluster anintroduce the principle of component interaction
Use Ansible script to install K8S cluster, introduce the principle of component interaction, convenient and direct, not affected by domestic network environment. The project is committed to providing tools for rapid deployment of high-availability k8sclusters, and also strives to become a k8sa reference book for practice and use; ansible-playbook to automate deployment and utilization based on binary methods; to provide one-click installation scripts, and to install each component according to step-by-step execution. -
Run Any Workload on Compute Engine VMsCompute Engine delivers high-performance virtual machines for web apps, databases, containers, and AI workloads. Choose from general-purpose, compute-optimized, or GPU/TPU-accelerated machine types—or build custom VMs to match your exact specs. With live migration and automatic failover, your workloads stay online. New customers get $300 in free credits.
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10
exo
Run your own AI cluster at home with everyday devices
Run your own AI cluster at home with everyday devices. Maintained by exo labs. Forget expensive NVIDIA GPUs, unify your existing devices into one powerful GPU, iPhone, iPad, Android, Mac, Linux, or pretty much any device. Now the default models, run 8B, 70B, and 405B parameter models on your own devices. -
11
Roxy-WI
Web interface for managing Haproxy, Nginx, Apache and Keepalived
For those who need a convenient interface for managing all services in one place. Roxy-WI was created for people who want to have a fault-tolerant infrastructure, but do not want to plunge deep into the details of setting up and creating a cluster based on HAProxy, NGINX, Apache, and Keepalived. Use Roxy-WI to build a high available cluster for a couple of clicks: install HAProxy, NGINX, Apache, Keepalived, and its exporters, and carry out the initial configuration for the services. Collect download statistics in one place. Choose one of the three available monitoring options or use them all. ... -
12
Kubez-ansible
To provide quick deployment tools for kubernetes cluster
To provide quick deployment tools for Kubernetes cluster and cloud-native applications. This session has been tested on Rocky 8.5, Debian 11, and Ubuntu 20.04+ which are supported by python3. -
13
Robusta
Kubernetes observability and automation
Keep your Kubernetes microservices up and running. Connect your existing Prometheus, gain 360° observability. Robusta is both an automation engine for Kubernetes and a multi-cluster observability platform. Robusta is commonly used alongside Prometheus, but other tools are supported too. By listening to all the events in your cluster, Robusta can tell you why alerts fired, what happened at the same time, and what you can do about it. Robusta can either improve your existing alerts or be used to define new alerts triggered by APIServer changes. -
14
Kaleidoscope-SDK
User toolkit for analyzing and interfacing with Large Language Models
kaleidoscope-sdk is a Python module used to interact with large language models hosted via the Kaleidoscope service available at: https://github.com/VectorInstitute/kaleidoscope. It provides a simple interface to launch LLMs on an HPC cluster, asking them to perform basic features like text generation, but also retrieve intermediate information from inside the model, such as log probabilities and activations. Users must authenticate using their Vector Institute cluster credentials. This can be done interactively instantiating a client object. This will generate an authentication token that will be used for all subsequent requests. ... -
15
Determined
Determined, deep learning training platform
...Interpret your experiment results using the Determined UI and TensorBoard, and reproduce experiments with artifact tracking. Deploy your model using Determined's built-in model registry. Easily share on-premise or cloud GPUs with your team. Determined’s cluster scheduling offers first-class support for deep learning and seamless spot instance support. Check out examples of how you can use Determined to train popular deep learning models at scale. -
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ContextForge MCP Gateway
A Model Context Protocol (MCP) Gateway & Registry
...It exposes an MCP-compliant interface to clients while handling discovery, authentication, rate limiting, retries, and observability on the server side. The gateway scales horizontally, supports multi-cluster deployments on Kubernetes, and uses Redis for federation and caching across instances. Operators can define virtual servers, wire multiple transports, and optionally enable an admin UI for management and monitoring. Packaged for quick starts via PyPI and Docker, it targets production reliability with health checks, metrics, and structured logs. ... -
17
MicroK8s
Single-package Kubernetes for developers, IoT and edge
Low-ops, minimal production Kubernetes, for devs, cloud, clusters, workstations, Edge and IoT. MicroK8s automatically chooses the best nodes for the Kubernetes datastore. When you lose a cluster database node, another node is promoted. No admin needed for your bulletproof edge. MicroK8s is small, with sensible defaults that ‘just work’. A quick install, easy upgrades and great security make it perfect for micro clouds and edge computing. As the publishers of MicroK8s, we deliver the world’s most efficient multi-cloud, multi-arch Kubernetes. ... -
18
Jupyter Enterprise Gateway
Enables Jupyter Notebooks to share resources across clusters
Jupyter Enterprise Gateway is a headless web server with a pluggable framework for anyone supporting multiple notebook users in a managed-cluster environment. Some of the core functionality it provides is better optimization of compute resources, improved multi-user support, and more granular security for your Jupyter notebook environment - making it suitable for enterprise, scientific, and academic implementations. From a technical perspective, Jupyter Enterprise Gateway is a web server that enables the ability to launch kernels on behalf of remote notebooks. ... -
19
redis-py
Redis Python client
redis-py is the official Python client for interacting with Redis, the in-memory data structure store. It supports all Redis commands and data types, making it easy to build caching, messaging, or real-time analytics features in Python applications. With both synchronous and asyncio support, redis-py is suited for modern Python projects and integrates smoothly into web frameworks, task queues, and backend services. -
20
HDBSCAN
A high performance implementation of HDBSCAN clustering
...This allows HDBSCAN to find clusters of varying densities (unlike DBSCAN), and be more robust to parameter selection. In practice this means that HDBSCAN returns a good clustering straight away with little or no parameter tuning -- and the primary parameter, minimum cluster size, is intuitive and easy to select. HDBSCAN is ideal for exploratory data analysis; it's a fast and robust algorithm that you can trust to return meaningful clusters (if there are any). -
21
gensim
Topic Modelling for Humans
Gensim is a Python library for topic modeling, document indexing, and similarity retrieval with large corpora. The target audience is the natural language processing (NLP) and information retrieval (IR) community. -
22
uvicorn-gunicorn-fastapi
Docker image with Uvicorn managed by Gunicorn
Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python with performance auto-tuning. Optionally with Alpine Linux. -
23
Hera
Hera is an Argo Python SDK
Hera is an Argo Python SDK. Hera aims to make the construction and submission of various Argo Project resources easy and accessible to everyone! Hera abstracts away low-level setup details while still maintaining a consistent vocabulary with Argo. -
24
ClusterFuzz
Scalable fuzzing infrastructure
...Google uses ClusterFuzz to fuzz all Google products and as the fuzzing backend for OSS-Fuzz. ClusterFuzz provides many features which help seamlessly integrate fuzzing into a software project's development process. Can run on any size cluster (e.g. OSS-Fuzz instance runs on 100,000 VMs). Fully automatic bug filing, triage and closing for various issue trackers (e.g. Monorail, Jira). Supports multiple coverage guided fuzzing engines (libFuzzer, AFL, AFL++ and Honggfuzz) for optimal results (with ensemble fuzzing and fuzzing strategies). Statistics for analyzing fuzzer performance, and crash rates. ... -
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Android Emulator Container Scripts
Minimal scripts to run the emulator in a container for various systems
...The project focuses on reproducibility and scale: you define which system image to boot, how to persist or reset data, and how many instances to run, then schedule them like any other workload. GPU acceleration, audio, and sensors can be enabled depending on your host and cluster capabilities, while fallbacks like SwiftShader keep things usable when no GPU is available.
