Search Results for "cluster"
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Showing 133 open source projects for "cluster"
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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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Veeam Data Platform v13.1Try Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
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AKHQ
Kafka GUI for Apache Kafka to manage topics, topics data, etc.
Kafka GUI for Apache Kafka to manage topics, topics data, consumers group, schema registry, connect and more. Enabling your teams to search and explore data in a unified console, while supporting its administration and integration within your ecosystem. Multi-Cluster vision into a central console, available in Multi-Cloud environments. Enabling users to access, search and get insights from your topics, including Live Tail. Allowing to manage your topics, consumer groups, cluster configurations, users and ACLs. Compatibility with LDAP, RBAC, Schema Registry, Kafka Connect and more. -
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Hazelcast
Open-source distributed computation and storage platform
...Hazelcast is a distributed computation and storage platform for consistently low-latency querying, aggregation and stateful computation against event streams and traditional data sources. It allows you to quickly build resource-efficient, real-time applications. You can deploy it at any scale from small edge devices to a large cluster of cloud instances. A cluster of Hazelcast nodes share both the data storage and computational load which can dynamically scale up and down. When you add new nodes to the cluster, the data is automatically rebalanced across the cluster and currently running computational tasks (known as jobs) snapshot their state and scale with processing guarantees. -
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Strimzi
Apache Kafka® running on Kubernetes
Strimzi provides a way to run an Apache Kafka cluster on Kubernetes in various deployment configurations. Strimzi provides a way to run an Apache Kafka cluster on Kubernetes in various deployment configurations. For development, it’s easy to set up a cluster in Minikube in a few minutes. For production you can tailor the cluster to your needs, using features such as rack awareness to spread brokers across availability zones, and Kubernetes taints and tolerations to run Kafka on dedicated nodes. ... -
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Apache Cassandra
Open source transactional distributed database
...It stores information in partitioned tables organized by rows, columns, and required primary keys. Data is distributed across multiple machines transparently, and the cluster automatically repartitions when nodes are added or removed. Cassandra Query Language offers an SQL-like interface for defining schemas and performing reads and writes. Its decentralized architecture supports continued availability without relying on a single coordinating server. The system scales horizontally across commodity hardware or cloud infrastructure while maintaining predictable performance. ... -
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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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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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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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. ... -
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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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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. -
Paessler: Easy to Use With Enterprise Power. Free TrialYou shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
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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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Ant Media Server
Adaptive, ultra low latency streaming
...Reach a broader audience with Adaptive Bitrate Streaming. Adaptive Bitrate makes it possible to play real-time streams on every screen at any internet speed. Effortlessly scale with auto-scalable cluster for thousands of publishers and viewers. Achieve sub-0.5s latency, support WebRTC, CMAF, DASH, HLS, RTMP, RTSP, SRT, and Zixi. -
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Redisson
Valkey & Redis Java client. Real-Time Data Platform
Redisson is a Java client library for Redis that offers distributed data structures, services, and frameworks to build scalable and reliable applications. It simplifies Redis usage by providing in-memory Java objects like maps, sets, locks, queues, and semaphores that are backed by Redis. Redisson supports advanced features like distributed locking, asynchronous APIs, and integrates with frameworks like Spring and Quarkus for reactive and cloud-native development. -
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Apache HertzBeat
Apache HertzBeat(incubating) is a real-time monitoring system
Apache HertzBeat (incubating) is an easy-to-use, open source, real-time monitoring system with an agentless, high-performance cluster, Prometheus-compatible, and offers powerful custom monitoring and status page building capabilities. Hertzbeat is an open-source monitoring and alerting platform for IT infrastructure, including servers, networks, and applications. -
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Swarmpit
Lightweight mobile-friendly Docker Swarm management UI
Swarmpit is an open-source, self-hosted web dashboard that simplifies Docker Swarm cluster operations. It offers management of stacks, services, secrets, volumes, networks, and allows secure team access. It visualizes real-time CPU/memory/disk metrics, supports private registry integration, and streamlines deployment flows. The interface is mobile-friendly and privacy-focused—collecting no telemetry. -
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ArangoDB Java Driver
The official ArangoDB Java driver
ArangoDB Java Driver is the official Java client for interacting with ArangoDB, a multi-model NoSQL database that supports document, key-value, and graph storage. This driver provides a high-level API for managing databases, executing AQL queries, and handling transactions efficiently. -
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Kubernetes plugin for Jenkins
Jenkins plugin to run dynamic agents in a Kubernetes environment
Jenkins plugin to run dynamic agents in a Kubernetes cluster. Based on the Scaling Docker with Kubernetes article, automates the scaling of Jenkins agents running in Kubernetes. The plugin creates a Kubernetes Pod for each agent started and stops it after each build. Agents are launched as inbound agents, so it is expected that the container connects automatically to the Jenkins controller. -
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tigerbeetle
The financial transactions database designed for mission critical safe
...This solves the problem of OLTP write contention to unlock three orders of magnitude more performance than a general purpose (OLGP) database. The language of business transactions around the world is Debit/Credit. TigerBeetle ships with this schema out of the box. A single TigerBeetle cluster can process over 100 billion transactions, at a hundredth of the cost compared to legacy, proprietary, or cloud databases. -
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Eureka
AWS Service registry for resilient mid-tier load balancing
Eureka is a REST (Representational State Transfer) based service that is primarily used in the AWS cloud for locating services for the purpose of load balancing and failover of middle-tier servers. t Netflix, Eureka is used for the following purposes apart from playing a critical part in mid-tier load balancing. For aiding Netflix Asgard, an open source service which makes cloud deployments easier, in fast rollback of versions in case of problems avoiding the re-launch of 100's of instances... -
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Bank of Anthos
Retail banking sample application showcasing Kubernetes
...Google uses this application to demonstrate how developers can modernize enterprise applications using Google Cloud products, including: Google Kubernetes Engine (GKE), Anthos Service Mesh (ASM), Anthos Config Management (ACM), Migrate to Containers, Spring Cloud GCP, Cloud Operations, Cloud SQL, Cloud Build, and Cloud Deploy. This application works on any Kubernetes cluster. -
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Zeebe
Distributed Workflow Engine for Microservices Orchestration
...Zeebe’s cloud-native design provides the performance, resilience, and security enterprises need to future-proof their process orchestration efforts. Zeebe distributes data across all brokers in a cluster with storage directly on the server filesystem. If one broker goes down, another can replace it with no data loss. This pre-configured replication mechanism ensures that Camunda Platform 8 can recover from machine or software failure with no human interaction, no data loss and minimal downtime. -
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SOFAJRaft
A production-grade java implementation of RAFT consensus algorithm
SOFAJRaft is a production-level, high-performance Java implementation based on the RAFT consistency algorithm that supports MULTI-RAFT-GROUP for high-load, low-latency scenarios. With SOFAJRaft you can focus on your business area. SOFAJRaft handles all RAFT-related technical challenges. SOFAJRaft is very user-friendly, which provides several examples, making it easy to understand and use. -
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Aeron
Efficient UDP unicast, UDP multicast, and IPC message transport
...All three clients can exchange messages across machines, or on the same machine via IPC, very efficiently. Message streams can be recorded by the Archive module to persistent storage for later, or real-time, replay. Aeron Cluster provides support for fault-tolerant services as replicated state machines based on the Raft consensus algorithm. Performance is the key focus. A design goal for Aeron is to be the highest throughput with the lowest and most predictable latency of any messaging system. Aeron integrates with Simple Binary Encoding (SBE) for the best possible message encoding and decoding performance. ... -
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EFAK-AI
A AI-Driven, Distributed and high-performance monitoring system
EFAK (Eagle For Apache Kafka) is an open-source monitoring and management platform designed to provide comprehensive visibility and operational control over Apache Kafka clusters through a unified web interface. The project focuses on simplifying Kafka administration by offering real-time insights into cluster health, performance metrics, and consumer activity, allowing engineers to quickly diagnose issues and optimize system behavior. It integrates advanced features such as intelligent monitoring, alerting, and automated analysis, enabling proactive management rather than reactive troubleshooting. The platform supports multiple Kafka clusters simultaneously, making it suitable for enterprise environments with distributed data pipelines. ... -
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Dolphin Scheduler
A distributed and extensible workflow scheduler platform
...Support many task types e.g., spark,flink,hive, mr, shell, python, sub_process. Support custom task types, Distributed scheduling, and the overall scheduling capability will increase linearly with the scale of the cluster. -
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Apache Seata
High-performance, open source distributed transaction solution
Seata is a distributed transaction solution for microservices that provides consistent, cross-service commits without forcing every team to adopt the same persistence model. Its architecture separates responsibilities into a global coordinator and per-service participants, so business services remain decoupled while transactions are orchestrated centrally. Multiple modes are supported—AT (automatic, SQL-based with undo logs), TCC (try-confirm-cancel), Saga (long-running compensation), and...
