5 个仓库
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.
宝塔面板 (BaoTa) 是一个基于 Web 的 Linux 服务器控制面板和系统管理仪表盘,专为管理托管环境和系统资源而设计。它提供图形化界面,将管理操作转化为系统级配置,使用户无需完全依赖命令行即可管理 Linux 服务器和 Web 托管栈。 该平台通过 AI 驱动的服务器运维脱颖而出,利用人工智能进行性能分析,并通过自然语言命令执行维护任务。它支持多节点编排,能够从单一界面协调多个服务器实例,实现负载均衡、数据复制和机器迁移。 该软件涵盖了广泛的管理功能,包括 Docker 容器编排、数据库生命周期管理和自动 SSL 证书签发。它提供了全面的安全加固工具,如系统防火墙、暴力破解防护和多因素身份验证,以及用于实时性能跟踪和自动健康报告的监控工具。 面板的安装和部署通过在纯净 Linux 系统上运行命令行脚本来完成。
Coordinates multiple server nodes with support for load balancing, replication, and disaster recovery.