Search Results for "cluster" - Page 5
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Showing 938 open source projects for "cluster"
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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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Beacon
Open-source Content Management System (CMS)
Beacon is a modern open-source CMS built with Phoenix LiveView, offering fast server-rendered HTML for content-heavy pages with LiveView interactivity layered on top. It includes runtime content reloading, SEO-optimized rendering, and an admin interface (Beacon LiveAdmin) for managing pages, layouts, and components in a cluster-friendly setup. Developed by DockYard, Beacon aims to deliver high performance content sites fully within the Elixir ecosystem. -
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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 remote registries is slow or restricted. -
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Headlamp
A Kubernetes web UI that is fully-featured, user-friendly
...Headlamp adapts to a user’s cluster permissions. It checks RBAC and displays actions like delete or edit only if the user has permission to do so. Keeping with Headlamp’s goal of supporting a fully customizable experience, it can be run as a web app, desktop app, or both. -
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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. -
PRTG Catches Network Issues Before They Cause DowntimeReactive troubleshooting usually means hearing about a problem from frustrated users, not your monitoring tool. PRTG sets threshold-based alerts across devices, servers and applications, notifying your team by email, SMS or push the moment a metric crosses a set limit. That means catching a failing disk or overloaded server before it becomes an outage and getting time back from firefighting. Start a free trial and set your first alerts today.
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Apache Sedona
Cluster computing framework for processing large-scale geospatial data
Apache Sedona™ is a cluster computing system for processing large-scale spatial data. Sedona extends existing cluster computing systems, such as Apache Spark and Apache Flink, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines. According to our benchmark and third-party research papers, Sedona runs 2X - 10X faster than other Spark-based geospatial data systems on computation-intensive query workloads. ... -
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Shifu
Kubernetes-native IoT gateway
...HTTP, MQTT, RTSP, Siemens S7, TCP socket, OPC UA...The microservice architecture of Shifu enables it to quickly adapt to new protocols. Kubernetes pod as well as the atomic unit of Shifu. DeviceShifu mainly contains the driver of the device and represents a device in the cluster. Or you can call it "digital twin" of the device. -
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k3s in docker
Little helper to run CNCF's k3s in Docker
...Sponsoring: To spend any significant amount of time improving k3d, we rely on sponsorships. k3d creates containerized k3s clusters. This means, that you can spin up a multi-node k3s cluster on a single machine using docker. -
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kind
Kubernetes IN Docker - local clusters for testing Kubernetes
kind is a tool for running local Kubernetes clusters using Docker container “nodes”. kind was primarily designed for testing Kubernetes itself, but may be used for local development or CI. -
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etcd
Distributed reliable key-value store for the most critical data
A distributed, reliable key-value store for the most critical data of a distributed system. etcd is a strongly consistent, distributed key-value store that provides a reliable way to store data that needs to be accessed by a distributed system or cluster of machines. It gracefully handles leader elections during network partitions and can tolerate machine failure, even in the leader node. etcd is a consistent distributed key-value store. Mainly used as a separate coordination service, in distributed systems. And designed to hold small amounts of data that can fit entirely in memory. ... -
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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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Radar
The missing open source Kubernetes UI
Radar is a modern, local-first Kubernetes visibility and management tool that provides a unified interface for exploring, debugging, and operating cluster resources in real time. It runs as a single lightweight binary with no required cloud account, connecting directly to clusters using existing kubeconfig credentials. The platform combines multiple observability features such as topology graphs, event timelines, and traffic visualization into one cohesive UI. It allows users to inspect resources, edit YAML, view logs, and execute commands within containers from a browser-based interface. ... -
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loxilb
eBPF based cloud-native load-balancer
loxilb is an open source cloud-native load-balancer based on GoLang/eBPF with the goal of achieving cross-compatibility across a wide range of on-prem, public-cloud or hybrid K8s environments. Kubernetes defines many service constructs like cluster-ip, node-port, load-balancer etc for pod-to-pod, pod-to-service, and service from outside communication. All these services are provided by load balancers/proxies operating at Layer4/Layer7. Since Kubernetes's is highly modular, these services can be provided by different software modules. For example, kube-proxy is used by default to provide cluster-ip and node-port services. -
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Kubernetes Provider for Terraform
Terraform Kubernetes provider
...To use these credentials with the Kubernetes provider, they can be interpolated into the respective attributes of the Kubernetes provider configuration block. The most reliable way to configure the Kubernetes provider is to ensure that the cluster itself and the Kubernetes provider resources can be managed with separate apply operations. -
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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... -
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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. ... -
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Logging operator
Logging operator for Kubernetes
...You can filter and process the incoming log messages using the flow custom resource of the log forwarder to route them to the appropriate output. The outputs are the destinations where you want to send your log messages, for example, Elasticsearch, or an Amazon S3 bucket. You can also define cluster-wide outputs and flows, for example, to use a centralized output that namespaced users can reference but cannot modify. -
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spring-cloud-gateway
A Gateway built on Spring Framework and Spring Boot
Spring Cloud provides tools for developers to quickly build some of the common patterns in distributed systems (e.g. configuration management, service discovery, circuit breakers, intelligent routing, micro-proxy, control bus, one-time tokens, global locks, leadership election, distributed sessions, cluster state). Coordination of distributed systems leads to boiler plate patterns, and using Spring Cloud developers can quickly stand up services and applications that implement those patterns. They will work well in any distributed environment, including the developer’s own laptop, bare metal data centres, and managed platforms such as Cloud Foundry. ... -
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gocql
Package gocql implements a fast and robust Cassandra client for Go
GoCQL automatically discovers all data centers, racks and hosts in your cluster manages a pool of connections to them and distributes queries in a reasonable and efficient way. Automatic and safe type conversion between Cassandra and Go without any loss of precision. Basic types, collections and UUIDs are supported by default and custom types can implement their own marshaling logic. Synchronous API with an asynchronous and concurrent back-end. -
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DevOps Terraform Module
DevOps Terraform Module
This is a Terraform module repository to maintain the version DevOps-related resources to install inside the Kubernetes cluster. Following the resources and provider support in this module in Version 1.0.0. We easily use to “DevOps” module to set resources inside the Kubernetes cluster locally, this cluster is created on a docker container in our local machine. -
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Pulumi
Developer-first infrastructure as code. Your cloud, your language
Pulumi's Infrastructure as Code SDK is the easiest way to create and deploy cloud software that use containers, serverless functions, hosted services, and infrastructure, on any cloud. Simply write code in your favorite language and Pulumi automatically provisions and manages your AWS, Azure, Google Cloud Platform, and/or Kubernetes resources, using an infrastructure-as-code approach. Skip the YAML, and use standard language features like loops, functions, classes, and package management... -
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KUBEE ROUTER
Kube-router, a turnkey solution for Kubernetes networking
The Kube-router is a turnkey solution for Kubernetes networking with the aim to provide operational simplicity. Networking is hard as such. In a typical Kubernetes cluster, you would need to install multiple network components for various functionality. With many moving parts it makes Kubernetes networking even harder. Kube-router provides a cohesive yet lean and powerful alternative to several network components you would use. All this from a single DaemonSet/Binary. It doesn't get any easier. Providing high performance is at the core of all the design choices made in Kube-router. ... -
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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. ... -
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Kueue
Kubernetes-native Job Queueing
...Use Kueue to build a multi-tenant batch service with quotas and a hierarchy for sharing resources among teams in your organization. Based on the available quotas, Kueue decides when jobs should wait and when and where they should run. Kueue works in combination with standard kube-scheduler, cluster-autoscaler, and the rest of the Kubernetes ecosystem. This combination allows Kueue to run both on-prem and in the cloud, where resources can be heterogeneous, fungible, and dynamically provisioned. -
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pv-migrate
CLI tool to easily migrate Kubernetes persistent volumes
pv-migrate is a CLI tool/kubectl plugin to easily migrate the contents of one Kubernetes PersistentVolumeClaim to another. On Kubernetes, if you need to rename a resource (like a Deployment) or to move it to a different namespace, you can simply create a copy of its manifest with the new namespace and/or name and apply it. However, it is not as simple with PersistentVolumeClaim resources: They are not only metadata, but they also store data in the underlying storage backend. In these cases,... -
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AWS App Mesh Controller For K8s
A controller to help manage App Mesh resources for Kubernetes cluster
AWS App Mesh Controller For K8s is a controller to help manage App Mesh resources for a Kubernetes cluster and injecting sidecars to Kubernetes Pods. The controller watches custom resources for changes and reflects those changes into the App Mesh API. The controller maintains the custom resources (CRDs): meshes, virtual nodes, virtual routers, virtual services, virtual gateways, and gateway routes. The custom resources map to App Mesh API objects.
