Awesome GitHub RepositoriesCluster Lifecycle Management

Boto3 is the AWS SDK for Python, providing a programmatic interface for managing and automating AWS cloud infrastructure and services. It serves as a cloud management API client and resource manager for provisioning, configuring, and scaling virtual servers, databases, and storage. The library enables the implementation of infrastructure-as-code through declarative templates and scripts, allowing for the deployment of identical resource stacks across multiple accounts and geographic regions. It also provides a framework for coordinating distributed workflows, serverless functions, and contain

CloudNativePG is a Kubernetes operator designed for the administration, lifecycle management, and high availability of PostgreSQL database clusters. It functions as a declarative orchestrator that manages database instances through custom resources and manifests. The project distinguishes itself by automating complex operational tasks, including primary election and failover management via streaming physical replication. It provides specialized tools for database version migrations, supporting both offline in-place upgrades and online migrations through logical replication. The operator cove

AliSQL is a fork of MySQL by Alibaba that extends the relational database management system with enhancements for high performance, scalability, and enterprise-grade availability. It retains the core MySQL identity as a SQL-based database for storing, organizing, and retrieving structured data, while adding optimizations for large-scale transactional and analytical workloads. The project differentiates itself through a set of Alibaba-specific improvements, including a columnar engine for accelerating analytical queries directly on MySQL tables, and a distributed, shared-nothing NDB Cluster en

LXD is a unified platform for managing both system containers and virtual machines through a single REST API and command-line interface. It provides a programmatic HTTP interface for controlling the full lifecycle of instances, enabling automation and integration with external tools. The system runs unprivileged containers with per-instance UID/GID mappings, seccomp filters, and AppArmor profiles for kernel-level isolation, while supporting multiple storage backends including directory, Btrfs, LVM, ZFS, Ceph, LINSTOR, and TrueNAS through a unified driver interface. The platform distinguishes

Pigsty 是一个全面的数据库基础设施编排平台，旨在自动化高可用 PostgreSQL 集群的全生命周期。它作为一个基础设施即代码（IaC）框架，通过幂等 Playbook 管理集群协调、节点配置与服务发现。通过集成分布式共识机制，该平台确保了在包括裸机与虚拟化基础设施在内的多样化环境中，自动化故障转移与一致的状态强制执行。 该平台通过一套超越标准数据库管理的强大运营能力脱颖而出。它具备内置的观测流水线，将指标、日志与追踪聚合到集中式仪表盘中，用于实时性能监控与诊断分析。此外，它还提供了一个模拟专有线路协议与 SQL 语法的迁移框架，允许将遗留企业数据库工作负载集成到现代关系型环境中。 该系统涵盖了广泛的功能面，包括带有写时复制（CoW）克隆以实现快速部署的高级存储管理，以及协调关系型引擎与缓存及对象存储服务的多数据库编排。它还整合了安全加固、自动化备份与恢复，以及通过分层代理进行的流量路由，以将客户端连接与底层集群拓扑解耦。 该项目以自包含的包镜像模型分发，能够在安全或离线环境中实现一致的部署与依赖管理。

Pigsty is a full-stack orchestration suite for deploying, monitoring, and managing high-availability PostgreSQL clusters and their supporting infrastructure. It functions as a cluster management platform and high-availability suite that automates failover, manages virtual IPs, and ensures data consistency through distributed consensus. The project distinguishes itself by providing a comprehensive database infrastructure-as-code framework and a dedicated observability stack. It incorporates a backup and recovery manager supporting point-in-time recovery via S3-compatible object storage, alongs