5 repository-uri
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 este un panou de control pentru servere Linux bazat pe web și un dashboard de administrare a sistemului conceput pentru gestionarea mediilor de găzduire și a resurselor de sistem. Oferă o interfață grafică pentru a traduce acțiunile administrative în configurații la nivel de sistem, permițând utilizatorilor să gestioneze servere Linux și stack-uri de găzduire web fără a se baza exclusiv pe linia de comandă. Platforma se distinge prin operațiuni de server bazate pe AI, utilizând inteligența artificială pentru analiza performanței și execuția sarcinilor de întreținere prin comenzi în limbaj natural. Suportă orchestrarea multi-nod, permițând coordonarea mai multor instanțe de server pentru load balancing, replicarea datelor și migrarea mașinilor dintr-o singură interfață. Software-ul acoperă o gamă largă de capabilități administrative, inclusiv orchestrarea containerelor Docker, gestionarea ciclului de viață al bazei de date și emiterea automatizată a certificatelor SSL. Oferă instrumente cuprinzătoare de securizare a sistemului, cum ar fi firewall-uri de sistem, prevenirea atacurilor de tip brute-force și autentificarea multi-factor, alături de instrumente de monitorizare pentru urmărirea performanței în timp real și raportarea automatizată a stării de sănătate. Instalarea și deployment-ul panoului sunt gestionate printr-un script de linie de comandă pe sisteme Linux curate.
Coordinates multiple server nodes with support for load balancing, replication, and disaster recovery.