Search Results for "cluster" - Page 6
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Showing 938 open source projects for "cluster"
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SeaweedFS
Distributed storage system for blobs, objects, files, and data lake
SeaweedFS is a distributed storage system for blobs, objects, files, and data lake, to store and serve billions of files fast! Blob store has O(1) disk seek, local tiering, cloud tiering. Filer supports cross-cluster active-active replication, Kubernetes, POSIX, S3 API, encryption, Erasure Coding for warm storage, FUSE mount, Hadoop, WebDAV. SeaweedFS is an independent Apache-licensed open source project with its ongoing development made possible because of the community. SeaweedFS is a simple and highly scalable distributed file system. There are two objectives, to store billions of files, and to serve the files fast! ... -
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kubectl-ai
AI assistant for managing Kubernetes clusters from the terminal
...By integrating large language models, it enables users to ask questions or request actions in plain language instead of manually crafting complex Kubernetes commands. kubectl-ai runs directly in the terminal and integrates with the existing kubectl workflow, making it familiar for Kubernetes administrators and developers. It can help perform tasks such as inspecting resources, retrieving logs, troubleshooting issues, and modifying cluster configurations. kubectl-ai supports both cloud-based and locally hosted language models, allowing it to adapt to different infrastructure and privacy requirements. -
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pg_auto_failover
Postgres extension and service for automated failover
pg_auto_failover is a PostgreSQL extension and management tool for automated high availability. It handles health checks, failover, and monitoring without requiring third-party tools or complex configuration. Designed by the Citus Data team at Microsoft, it's ideal for developers and ops teams wanting reliable HA with minimal effort. -
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zfoo
Extremely fast enterprise server framework, can be used in RPC
...It combines asynchronous execution, actor-style design, lock-free architecture, and native GraalVM support to deliver high scalability. The framework supports single-server, microservice, cluster, and gateway deployment modes, making it adaptable to different production architectures. Its protocol system supports many languages, including Java, Kotlin, Scala, JavaScript, TypeScript, C#, Go, Python, Rust, C++, PHP, Ruby, Lua, Dart, Swift, and GDScript. zfoo also includes modules for networking, serialization, ORM, scheduling, configuration, and operational development workflows. ... -
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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GCP Config Connector
GCP Config Connector, a Kubernetes add-on for managing GCP resources
GCP Config Connector is a Kubernetes add-on that allows Google Cloud resources to be managed through Kubernetes-style configuration and the cluster API. Its central idea is that infrastructure objects such as Cloud Storage or Cloud Spanner resources can be described declaratively in manifests, after which Config Connector creates or updates the corresponding Google Cloud resources and continuously reconciles them to match the declared state. This makes the project highly valuable for teams practicing GitOps, platform engineering, or Kubernetes-centered operations, because it brings cloud resource management into the same control model used for application deployment. ... -
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MongoDB Community Kubernetes Operator
MongoDB Community Kubernetes Operator
The MongoDB Kubernetes Operator is an open-source controller that automates deploying and managing MongoDB clusters on Kubernetes, enabling developers and operators to run production-grade MongoDB in cloud-native environments. By defining custom resource definitions (CRDs) for MongoDB resources, the operator lets you declare cluster topology, configuration, and scaling policies as Kubernetes manifests that can be applied with standard tools like kubectl and Helm. The operator handles provisioning, failover, backups, upgrades, and monitoring hooks, dramatically reducing manual operational burden while improving reliability and consistency. It supports replica sets and sharded clusters, giving operators the flexibility to choose architectures that match their availability and performance needs. ... -
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Jaeger Operator for Kubernetes
Jaeger Operator for Kubernetes simplifies deploying and running Jaeger
...The Jaeger Operator can be installed in Kubernetes-based clusters and is able to watch for new Jaeger custom resources (CR) in specific namespaces, or across the entire cluster. There is typically only one Jaeger Operator per cluster, but there might be at most one Jaeger Operator per namespace in multi-tenant scenarios. -
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Agones
Dedicated Game Server Hosting and Scaling for Multiplayer Games
...Integrated SDK for managing game server lifecycle, health and configuration. Integration with OpenCensus for platform-independent game server metrics and monitoring dashboards. Agones replaces usual bespoke or proprietary cluster management and game server scaling solutions with a Kubernetes cluster that includes the Agones custom Kubernetes Controller and matching Custom Resource Definitions for GameServers, Fleets and more. With Agones, Kubernetes gets native abilities to create, run, manage and scale dedicated game server processes within Kubernetes clusters using standard Kubernetes tooling and APIs. ... -
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repmgr
A lightweight replication manager for PostgreSQL (Postgres)
repmgr is a management tool for PostgreSQL replication, providing monitoring, failover, and administrative capabilities for streaming replication setups. It simplifies the configuration of primary/standby clusters and automates failover processes for high availability. repmgr is widely used in production environments where database resilience and minimal downtime are critical. -
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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Flyway
Database migrations made easy
Robust schema evolution across all your environments, with ease, pleasure, and plain SQL. Version control for your database, so you can migrate it with ease and confidence. Flyway lets you regain control of your migrations with ease. Flyway migrates your database, so you don't have to worry about it. Releases have never been this easy. Migrate from any version (including an empty database) to the latest version of the schema. Plain SQL scripts (including placeholder replacement). No... -
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Redis
An in-memory database that persists on disk
...Redis has built-in replication, Lua scripting, LRU eviction, transactions, and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster. You can run atomic operations on these types, like appending to a string; incrementing the value in a hash; pushing an element to a list; computing set intersection, union and difference; or getting the member with highest ranking in a sorted set. To achieve top performance, Redis works with an in-memory dataset. Depending on your use case, you can persist your data either by periodically dumping the dataset to disk or by appending each command to a disk-based log. -
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Fast-Kubernetes
This repo covers Kubernetes with LABs: Kubectl, Pod, Deployment
...The content is organized as Markdown how-tos and cheat-sheets covering core objects and workflows — Pods, Deployments, Services, ConfigMaps, Secrets, PV/PVC, StatefulSets, DaemonSets, Jobs/CronJobs, Ingress, affinity/taints, and more — plus command-line kubectl quick references. It also includes end-to-end cluster setup guides (kubeadm with containerd or Docker, Minikube examples), Helm and CI/CD notes (Helm + Jenkins lab), and monitoring guidance with Prometheus & Grafana so learners can practice real operational tasks. Labs are written as short, reproducible exercises (imperative and declarative examples) designed for people who already know containers and want concrete, runnable Kubernetes practice. -
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future
R package: future: Unified Parallel and Distributed Processing in R
...It allows R expressions to be scheduled for future evaluation, with the result retrieved later, in a way decoupled from the specific backend used. This lets code be written in a way that works with sequential execution, multicore, multisession, cluster, or remote compute backends, without changing the high-level code. It handles automatic exporting of needed global variables/functions, managing of packages, RNG, etc. Automatic detection and export of global objects and functions needed by future expressions, so the user doesn’t need to manage that manually. Ability to control how futures are resolved. -
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LINKERD
Ultralight, security-first service mesh for Kubernetes
...Transparently add mutual TLS to any on-cluster TCP communication with no configuration. Designed by engineers, for engineers. -
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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. ... -
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OpenSearch
Open source distributed and RESTful search engine
...It offers excellent performance and can scale up and down as the needs of the application grow or shrink. Its distributed design means that you interact with OpenSearch clusters. Each cluster is a collection of one or more nodes, servers that store your data and process search requests. You can run OpenSearch locally on a laptop, its system requirements are minimal, but you can also scale a single cluster to hundreds of powerful machines in a data center. -
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Elasticsearch Exporter
Elasticsearch stats exporter for Prometheus
Prometheus exporter for various metrics about Elasticsearch, written in Go. The exporter fetches information from an Elasticsearch cluster on every scrape, therefore having a too short scrape interval can impose load on ES master nodes, particularly if you run with --es.all and --es.indices. We suggest you measure how long fetching /_nodes/stats and /_all/_stats takes for your ES cluster to determine whether your scraping interval is too short. As a last resort, you can scrape this exporter using a dedicated job with its own scraping interval. ... -
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node-rate-limiter-flexible
Count and limit requests by key with atomic increments
...Average request takes 0.7ms in Cluster and 2.5ms in a Distributed application. See benchmarks. It provides a unified API for all limiters. Whenever your application grows, it is ready. Prepare your limiters in minutes. No matter which node package you prefer: redis or ioredis, sequelize/typeorm or knex, memcached, native driver or mongoose. It works with all of them. -
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DevSpace
The Fastest Developer Tool for Kubernetes
...DevSpace is a very lightweight, client-only CLI tool which uses your current kube-context, just like kubectl or helm. It does not require you to install anything inside your cluster and works out of the box with every Kubernetes cluster. Builds all images in parallel using Docker, kaniko or any custom build commands (e.g. using cloud build). Tags images according to customizable tag schema and updates tags in manifests and Helm chart values. Pushes images to any public or private registry and automatically creates pull secrets if needed. ... -
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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. As the publishers of MicroK8s, we deliver the world’s most efficient multi-cloud, multi-arch Kubernetes. ... -
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Rainbond
A container platform that needs no Kubernetes learning
Rainbond is an open-source container platform that helps teams build, deploy, upgrade, operate, and deliver applications on Kubernetes without requiring deep Kubernetes expertise. It focuses more on application delivery than low-level cluster resource management. The platform brings source code, container images, templates, dependencies, access management, upgrades, and rollbacks into a standardized graphical workflow. 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. ... -
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Spring Data Redis
Provides support to increase developer productivity in Java
...RedisTemplate that provides a high level abstraction for performing various Redis operations, exception translation and serialization support. Pubsub support (such as a MessageListenerContainer for message-driven POJOs). Redis Sentinel and Redis Cluster support. Reactive API using the Lettuce driver. JDK, String, JSON and Spring Object/X. -
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Prom-Client
Prometheus client for node.js
Prom-Client is a Prometheus client for Node.js that allows developers to instrument their applications and expose metrics, facilitating the monitoring of application performance and resource usage. -
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Elastic Cloud on Kubernetes (ECK)
Elastic Cloud on Kubernetes
Elastic Cloud on Kubernetes automates the deployment, provisioning, management, and orchestration of Elasticsearch, Kibana, APM Server, Enterprise Search, Beats, Elastic Agent, and Elastic Maps Server on Kubernetes based on the operator pattern. -
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lightning AI
The most intuitive, flexible, way for researchers to build models
...Models are “easy”, the “glue” work is hard. Lightning Apps are community-built templates that stitch together your favorite ML lifecycle tools into cohesive ML workflows that can run on your laptop or any cluster. Find templates (Lightning Apps), modify them and publish your own. Lightning Apps can even be full standalone ML products! Run on your laptop for free! Download the code and type 'lightning run app'. Feel free to ssh into any machine and run from there as well. In research, we often have multiple separate scripts to train models, finetune them, collect results and more.
