Search Results for "cluster"
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Showing 131 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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Peer to Peer Recognition Brings Teams TogetherCreate a positive and energetic workplace environment with Motivosity, an innovative employee recognition and engagement platform. With Motivosity, employees can give each other small monetary bonuses for doing great things, promoting trust, collaboration, and appreciation in the workplace. The software solution comes with features such as an open-currency open-reward system, insights and analytics, dynamic organization chart, award programs, milestones, and more.
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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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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. -
Ditto Edge Server is a lightweight standalone server for resource-constrained edge environments, based on the core Ditto Edge SDK.Ditto's Edge SDK is the only thing your edge devices need to ensure your application is operational in any environment, regardless of network conditions.
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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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Amazon DocumentDB JDBC Driver
Amazon DocumentDB JDBC driver to connect from BI tools and execute SQL
...See the schema discovery documentation for more details of this process. Follow the requirements and setup directions to get you environment ready to use the Amazon DocumentDB JDBC driver. Assuming your Amazon DocumentDB cluster is hosted in a private VPC, you'll want to create an SSH tunnel to bridge to your cluster in the VPC. If you're a Tableau or other BI user, follow the directions on how to setup and use BI tools with the driver. The Amazon DocumentDB JDBC driver can perform automatic schema discovery and generate an SQL to DocumentDB schema mapping. -
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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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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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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. -
Next-generation security awareness training. Built for AI email phishing, vishing, smishing, and deepfakes.Assess how your company's digital footprint can be leveraged by cybercriminals. Identify the most at-risk individuals using thousands of public data points and take steps to proactively defend them.
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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... -
11
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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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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Elasticsearch
A Distributed RESTful Search Engine
Elasticsearch is a distributed, RESTful search and analytics engine that lets you store, search and analyze with ease at scale. It lets you perform and combine many types of searches; it scales seamlessly, and offers answers incredibly fast with search results you can rank based on a variety of factors. Elasticsearch can be used for a wide variety of use cases, from maps and metrics to site search and workplace search, and with all data types. -
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Jedis
A small redis java client
...The features supported are sorting, connection handling, commands operating on any kind of values, commands operating on string values, commands operating on hashes, commands operating on lists, commands operating on sets, commands operating on sorted sets, commands operating on streams, transactions, pipelining, publish/subscribe, persistence control commands, remote server control commands, connection pooling, sharding (MD5, MurmurHash), key-tags for sharding, sharding with pipelining, scripting with pipelining, and Redis Cluster. Redis is primarily built for master/slave distribution. This means that write requests have to be explicitly addressed to the master (a redis server), which replicates changes to slaves (which are also redis servers). -
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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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Apache SkyWalking Java Agent
The Java agent for Apache SkyWalking
SkyWalking-Java: The Java Agent for Apache SkyWalking, which provides native tracing/metrics/logging abilities for Java projects. SkyWalking: an APM(application performance monitor) system, specially designed for microservices, cloud-native and container-based (Docker and Kubernetes) architectures. -
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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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JobRunr
An extremely easy way to perform background processing in Java
Incredibly easy way to perform fire-and-forget, delayed, scheduled and recurring jobs inside Java applications using only Java 8 lambda's. CPU and I/O intensive, long-running and short-running jobs are supported. Persistent storage is done via either RDBMS (e.g. Postgres, MariaDB/MySQL, Oracle, SQL Server, DB2 and SQLite) or NoSQL (ElasticSearch, MongoDB and Redis). JobRunr provides a unified programming model to handle background tasks in a reliable way and runs them on shared hosting,... -
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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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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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Discovery
Nepxion Discovery is a solution for Spring Cloud
...Only one or more services are upgraded at a time, the upgrade is completed and monitored and observed, and this process is performed continuously until all the old versions in the cluster are upgraded to the new version. In the process of stopping the old version, it is impossible to accurately calculate whether the old version has completed the work it is performing, and it needs to be judged by the business itself. Full-link custom gateways, service filters, and load balancing strategies trigger blue-green grayscale release. ... -
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Smile
Statistical machine intelligence and learning engine
...Smile is a couple of times faster than the closest competitor. The memory usage is also very efficient. If we can train advanced machine learning models on a PC, why buy a cluster? Write applications quickly in Java, Scala, or any JVM languages. Data scientists and developers can speak the same language now! Smile provides hundreds advanced algorithms with clean interface. Scala API also offers high-level operators that make it easy to build machine learning apps. And you can use it interactively from the shell, embedded in Scala. ...