5 repositorios
Deployment configurations that partition web traffic and automated job processing onto separate servers for better performance.
Distinct from Single-Node Deployment: Distinct from Single-Node Deployment: focuses on distributing components across multiple servers rather than a single host.
Explore 5 awesome GitHub repositories matching devops & infrastructure · Multi-Node Deployments. Refine with filters or upvote what's useful.
Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis
Allows adding members that do not store data partitions but provide additional CPU and memory for heavy task execution.
Provides configuration for deploying Canvas across multiple servers for performance and reliability.
GreptimeDB is a distributed, open-source time-series database built for unified observability. It stores and queries metrics, logs, and traces together in a single columnar engine, supporting both SQL and PromQL for analysis. The database is designed as a Kubernetes-native operator with a decoupled compute and storage architecture, enabling horizontal scaling and multi-region deployment. What distinguishes GreptimeDB is its role as a multi-protocol ingestion gateway, accepting data through OpenTelemetry, Prometheus Remote Write, InfluxDB, Loki, Elasticsearch, Kafka, and MQTT protocols without
Provides synchronous replication between two nodes for zero-data-loss failover.
Arroyo is a high-performance stream processing platform built in Rust. It executes continuous SQL queries on streaming data with event-time semantics, enabling accurate windowed aggregations, joins, and stateful computations on unbounded event streams. The platform uses native Rust execution for high throughput and low latency, with periodic checkpointing for exactly-once fault tolerance and horizontal scaling across distributed workers. The system integrates deeply with Kafka for reading and writing topics with exactly-once delivery and supports change data capture (CDC) from MySQL and Postg
Supports multi-node production cluster deployment on Kubernetes or standalone with Helm charts.
BaoTa es un panel de control de servidores Linux basado en web y dashboard de administración de sistemas diseñado para gestionar entornos de alojamiento y recursos del sistema. Proporciona una interfaz gráfica para traducir acciones administrativas en configuraciones a nivel de sistema, permitiendo a los usuarios gestionar servidores Linux y stacks de alojamiento web sin depender únicamente de la línea de comandos. La plataforma se distingue por operaciones de servidor impulsadas por IA, utilizando inteligencia artificial para el análisis de rendimiento y la ejecución de tareas de mantenimiento mediante comandos en lenguaje natural. Admite orquestación multi-nodo, permitiendo la coordinación de múltiples instancias de servidor para balanceo de carga, replicación de datos y migraciones de máquinas desde una única interfaz. El software cubre una amplia gama de capacidades administrativas, incluyendo orquestación de contenedores Docker, gestión del ciclo de vida de bases de datos y emisión automatizada de certificados SSL. Proporciona herramientas integrales de endurecimiento de seguridad como firewalls de sistema, prevención de ataques de fuerza bruta y autenticación de múltiples factores, junto con herramientas de monitoreo para el seguimiento del rendimiento en tiempo real e informes de salud automatizados. La instalación y el despliegue del panel se gestionan mediante un script de línea de comandos en sistemas Linux limpios.
Coordinates multiple server nodes with support for load balancing, replication, and disaster recovery.