TranslatedThe mall project is an e-commerce system that includes a front-end shopping mall system and a back-end management system. It is built with Spring Boot + MyBatis and deployed in Docker containers. The front-end mall system includes modules for the home portal, product recommendations, product search, product display, shopping cart, order process, member center, customer service, and help center. The back-end management system includes modules for product management, order management, member management, promotion management, operations management, content management, statistical reports, financial management, permission management, and settings.
Translated😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | A complete primer on advanced knowledge for internet Java engineers: covering high concurrency, distributed systems, high availability, microservices, massive data processing, and other areas
Free and Open Source, Distributed, RESTful Search Engine
TranslatedA brand-new Cloud version of ruoyi-vue-pro, with all features optimized and refactored. A back-office management system + user mini program built on Spring Cloud Alibaba + MyBatis Plus + Vue & Element, supporting RBAC dynamic permissions, multi-tenancy, data permissions, workflow, third-party login, payment, SMS, mall, CRM, ERP, MES, IM, AI large models, IoT (Internet of Things), and more. Your ⭐️ Star ⭐️ is the motivation for the author to grow hair!
- dubbo
- springcloud
- springboot
- rocketmq
Translated🏆 Real-Time no-code, powerful and secure ORM 🚀 providing APIs and Docs without coding by Backend, and Frontend(Client) can customize response JSONs
🚌 The IK Analysis plugin integrates Lucene IK analyzer into Elasticsearch and OpenSearch, support customized dictionary.
TranslatedSpring Boot practical learning examples, the best practice for Spring Boot beginners and for consolidating core technologies.
Translatedflink learning blog. http://www.54tianzhisheng.cn/ Covers Flink introduction, concepts, principles, hands-on practice, performance tuning, source code analysis, and more. Includes learning examples involving Flink Connector, Metrics, Library, DataStream API, Table API & SQL, and also shares large-scale project cases of Flink in production (PV/UV, log storage, real-time deduplication of 10 billion records, monitoring and alerting). You are welcome to support my column 《大数据实时计算引擎 Flink 实战与性能优化》 ("Big Data Real-Time Computing Engine Flink: Hands-On Practice and Performance Optimization")
Logstash - transport and process your logs, events, or other data
Translatedmall learning tutorial, with a comprehensive analysis of the architecture, business logic, and key technical points. The mall project (60k+ stars) is an e-commerce system built with currently mainstream technologies. It covers technologies such as SpringBoot, MyBatis, Elasticsearch, RabbitMQ, Redis, MongoDB, and MySQL, and uses Docker containerized deployment.
Translatedmall-swarm is a microservice e-commerce mall system that uses core technologies such as Spring Cloud Alibaba, Spring Boot 3.5, Sa-Token, MyBatis, Elasticsearch, Docker, and Kubernetes. It also provides a Vue-based admin backend so that the system can be set up quickly. On top of basic e-commerce business functions, mall-swarm integrates system functions such as a registry center, a configuration center, a monitoring center, and a gateway.
- springcloud
- springboot
- docker
- java
JanusGraph: an open-source, distributed graph database
:elephant: Elasticsearch real-time search and analytics natively integrated with Hadoop
Elassandra = Elasticsearch + Apache Cassandra
We are not Gif makers, We are developers
Open-source, self-hosted enterprise & site search server built on OpenSearch. Crawls web / file / DB / cloud sources, 20+ languages, REST API, and AI/RAG & semantic search. Apache-2.0.
The Java microservice lib. QBit is a reactive programming lib for building microservices - JSON, HTTP, WebSocket, and REST. QBit uses reactive programming to build elastic REST, and WebSockets based cloud friendly, web services. SOA evolved for mobile and cloud. ServiceDiscovery, Health, reactive StatService, events, Java idiomatic reactive programming for Microservices.
🔐 Tutorial of setting up Security for your API with one way authentication with TLS/SSL and mutual authentication for a java based web server and a client with both Spring Boot. Different clients are provided such as Apache HttpClient, OkHttp, Spring RestTemplate, Spring WebFlux WebClient Jetty and Netty, the old and the new JDK HttpClient, the old and the new Jersey Client, Google HttpClient, Unirest, Retrofit, Feign, Methanol, vertx, Scala client Finagle, Featherbed, Dispatch Reboot, AsyncHttpClient, Sttp, Akka, Requests Scala, Http4s Blaze, Kotlin client Fuel, http4k, Kohttp and ktor. Also other server examples are available such as jersey with grizzly. Also gRPC, WebSocket and ElasticSearch examples are included
- tls
- truststore
- certificate
- keystore
Elastic Progress Bar Renew!
IPFS Storage service with search capability
Neo4j ElasticSearch Integration
JMeter plugin that lets you send sample results to an ElasticSearch engine to enable live monitoring of load tests.
Amazon ElastiCache Cluster Client for Java - enhanced library to connect to ElastiCache clusters.
The legacy distributed object storage server developed by PitchPoint Solutions can store billions of large and small files using minimal resources. Object data is stored in replicated volumes implemented like Facebooks Haystack Object Store. Object metadata which essentially maps an object name to a volume position is stored in an elasticsearch index. (Development by PitchPoint Solutions has been discontinued)