😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲:涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识
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Apr 10, 2025 - Java
😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲:涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识
Deploy a Production Ready Kubernetes Cluster
⚡ Workflow Automation Platform. Orchestrate & Schedule code in any language, run anywhere, 500+ plugins. Alternative to Zapier, Rundeck, Camunda, Airflow...
Highly available Prometheus setup with long term storage capabilities. A CNCF Incubating project.
Tars is a high-performance RPC framework based on name service and Tars protocol, also integrated administration platform, and implemented hosting-service via flexible schedule.
A template for PostgreSQL High Availability with Etcd, Consul, ZooKeeper, or Kubernetes
Cloud-Native distributed storage built on and for Kubernetes
CloudNativePG is a comprehensive platform designed to seamlessly manage PostgreSQL databases within Kubernetes environments, covering the entire operational lifecycle from initial deployment to ongoing maintenance
MySQL replication topology management and HA
HAProxy Load Balancer's development branch (mirror of git.haproxy.org)
💖 High available distributed ip proxy pool, powerd by Scrapy and Redis
Gluster Filesystem : Build your distributed storage in minutes
PostgreSQL cloud native High Availability and more.
Keepalived
Production PostgreSQL for Kubernetes, from high availability Postgres clusters to full-scale database-as-a-service.
The easiest way to bootstrap a self-hosted High Availability Kubernetes cluster. A fully automated HA k3s etcd install with kube-vip, MetalLB, and more. Build. Destroy. Repeat.
Production-ready C++ Asynchronous Framework with rich functionality
A Node.js library for building zero-configuration microservices.
MooseFS Distributed Storage – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System / Software-Defined Storage
The Art of Problem-Solving in Software Engineering: How to Make MySQL Better
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