Search Results for "cloud"
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Showing 32 open source projects for "cloud"
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Clusternet
[CNCF Sandbox Project] Managing your Kubernetes clusters
...It is a general-purpose system for controlling Kubernetes clusters across different environments as if they were running locally. Manage multiple Kubernetes clusters (running on public cloud, private cloud, hybrid cloud, or at the edge) from a single management cluster. Deploy Helm Charts, all Kubernetes built-in resources (like Deployments) and CRDs to manage clusters with two-tier application configuration for cluster-specific values. -
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Kubermatic KubeOne
Kubermatic KubeOne automate cluster operations on all your cloud
...KubeOne natively supports the most popular providers, including AWS, Azure, DigitalOcean, GCP, Hetzner Cloud, Nutanix, OpenStack, VMware Cloud Director, and VMware vSphere. The natively supported providers enjoy additional features such as integration with Terraform and Kubermatic machine-controller. -
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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. -
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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 inlets server process there. ... -
Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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TiDB Operator
TiDB operator creates and manages TiDB clusters running in Kubernetes
Using TiDB Operator provided by PingCAP, you can run and maintain TiDB seamlessly on the Kubernetes clusters deployed on a public cloud or in a self-hosted environment. TiDB Operator empowers TiDB with horizontal scalability on the cloud. Gracefully perform rolling updates for the TiDB cluster in order, achieving zero-downtime of the TiDB cluster. Users can deploy and manage multiple TiDB clusters on a single Kubernetes cluster easily. TiDB Operator automatically performs failover for your TiDB cluster when node failures occur. ... -
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Kubernetes Goat
Kubernetes Goat is a "Vulnerable by Design" cluster environment
...So that you can think like an attacker, and secure your Kubernetes, cloud, and container workloads right from the design, code, and architecture itself to prevent them. Use Kubernetes Goat to showcase the effectiveness of the tools, product, and solution. Also, educate the customers and share your product or tool knowledge in an interactive hands-on way. -
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Zarf
DevSecOps for Air Gap & Limited-Connection Systems
Zarf eliminates the complexity of air gap software delivery for Kubernetes clusters and cloud-native workloads using a declarative packaging strategy to support DevSecOps in offline and semi-connected environments. -
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KubeKey
Install Kubernetes/K3s only, both Kubernetes/K3s and KubeSphere
KubeKey is an open-source lightweight tool for deploying Kubernetes clusters. It provides a flexible, rapid, and convenient way to install Kubernetes/K3s only, both Kubernetes/K3s and KubeSphere, and related cloud-native add-ons. It is also an efficient tool to scale and upgrade your cluster. In addition, KubeKey also supports a customized Air-Gap package, which is convenient for users to quickly deploy clusters in offline environments. -
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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. -
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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MinIO Operator
Simple Kubernetes Operator for MinIO clusters
MinIO is a Kubernetes-native high-performance object store with an S3-compatible API. The MinIO Kubernetes Operator supports deploying MinIO Tenants onto private and public cloud infrastructures ("Hybrid" Cloud). Each MinIO Tenant represents an independent MinIO Object Store within the Kubernetes cluster. The following diagram describes the architecture of a MinIO Tenant deployed into Kubernetes. The MinIO Console provides a graphical user interface (GUI) for interacting with MinIO Tenants. The MinIO Operator installs and configures the Console for each tenant by default. ... -
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Karpenter
Kubernetes Node Autoscaling: built for flexibility, and performance
Karpenter simplifies Kubernetes infrastructure with the right nodes at the right time. Karpenter automatically launches just the right compute resources to handle your cluster's applications. It is designed to let you take full advantage of the cloud with fast and simple compute provisioning for Kubernetes clusters. Karpenter responds quickly and automatically to changes in application load, scheduling, and resource requirements, placing new workloads on a variety of available compute resource capacities. Karpenter comes with a set of opinionated defaults in a single, declarative Provisioner resource which can easily be customized. ... -
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kOps
Production grade K8s installation, upgrades, and management
...We like to think of it as kubectl for clusters. kops will not only help you create, destroy, upgrade and maintain production-grade, highly available, Kubernetes cluster, but it will also provision the necessary cloud infrastructure. AWS (Amazon Web Services) is currently officially supported, with DigitalOcean, GCE, and OpenStack in beta support, and Azure and AliCloud in alpha. YAML Manifest Based API Configuration. Templating and dry-run modes for creating Manifests. You can choose from eight different CNI Networking providers out-of-the-box. ... -
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kubenav
kubenav is the navigator for your Kubernetes clusters
...The frontend part of the app is implemented using TypeScript and React functional components. The backend part uses Go mobile for communication with the Kubernetes API server and Cloud Providers. So it is possible to achieve nearly 100% code sharing between the mobile and desktop implementation of kubenav. Create a port-forwarding connection to one of your Pods and open the served page in your browser. -
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EKS Distro Repository
Amazon EKS Distro (EKS-D) is a Kubernetes distribution
...EKS-D provides the same software that has enabled tens of thousands of Kubernetes clusters on Amazon EKS. EKS is a fully managed Kubernetes platform, while EKS-D is available to install and manage yourself. You can run EKS-D on-premises, in a cloud, or on your own systems. EKS-D provides a path to having essentially the same Amazon EKS Kubernetes distribution running wherever you need to run it. -
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AWS ParallelCluster Node
Python package installed on the Amazon EC2 instances
...AWS ParallelCluster is an AWS-supported Open Source cluster management tool that makes it easy for you to deploy and manage High-Performance Computing (HPC) clusters in the AWS cloud. Built on the Open Source CfnCluster project, AWS ParallelCluster enables you to quickly build an HPC compute environment in AWS. It automatically sets up the required compute resources and a shared filesystem and offers a variety of batch schedulers such as AWS Batch and Slurm. AWS ParallelCluster facilitates both quick start proof of concepts (POCs) and production deployments. ... -
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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. -
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DataSophon
The next generation of cloud-native big data management expert
Aiming at quickly deploying, managing, monitoring and automating the operation and maintenance of Big Data service components and nodes, helping you quickly build stable, efficient Big Data cluster services. The Three-Body Problem, a Hugo Award-winning work of the world's highest science fiction literature, is known for its stunning "hard science fiction" style, and its author Liu Cixin is credited with "single-handedly raising Chinese science fiction to a world-class level". As a very... -
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Crane
Crane is a FinOps Platform for Cloud Resource Analytics and Economics
Crane is a FinOps Platform for Cloud Resource Analytics and Economics in Kubernetes clusters. The goal is not only to help users to manage cloud cost easily but also to ensure the quality of applications. -
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AWS Cloud Map MCS Controller for K8s
K8s controller implementing Multi-Cluster Services API
...The multicluster plugin enables CoreDNS to lifecycle manage DNS records for ServiceImport objects. The controller must have sufficient IAM permissions to perform required Cloud Map operations. Grant IAM access rights AWSCloudMapFullAccess to the controller Service Account to enable the controller to manage Cloud Map resources. -
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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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pycos
Python framework for concurrent, asynchronous, distributed tasks
Python framework for concurrent, asynchronous, distributed communicating tasks for broad range of use cases, including 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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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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kubeadm-dind-cluster
A Kubernetes multi-node test cluster based on kubeadm
A Kubernetes multi-node cluster for developers of Kubernetes and projects that extend Kubernetes. Based on kubeadm and DIND (Docker in Docker). Supports both local workflows and workflows utilizing powerful remote machines/cloud instances for building Kubernetes, starting test clusters and running e2e tests. If you're an application developer, you may be better off with Minikube because it's more mature and less dependent on the local environment, but if you're feeling adventurous you may give kubeadm-dind-cluster a try, too. In particular, you can run kubeadm-dind-cluster in CI environment such as Travis without having issues with nested virtualization.
