A Comprehensive 2017 Cloud Computing & Distributed Tech Stack Overview

To meet the 2017 technology transformation needs, I have compiled a panoramic view of the technology stack for cloud computing and distributed scenarios, based on my own understanding.

(1) Selenium: Web automation testing tool that runs directly in browsers, simulating user actions such as clicks and input.

(2) VM: Virtual machine technology that simulates computer hardware via software, allowing one or more operating systems to run on a host.

(3) Docker: Open‑source container engine enabling developers to package applications and dependencies into portable containers for deployment on Linux machines.

(4) MongoDB: Distributed file‑storage based database offering scalable high‑performance storage for web applications.

(5) MySQL: Can be combined with Amoeba or MySQL Proxy to scale into a distributed database.

(6) Amoeba: MySQL‑based proxy providing MySQL protocol interface, enabling load balancing, read/write separation, and high availability.

(7) MySQL Proxy: Middleware proxy acting as a connection pool, forwarding client connections to backend databases and supporting Lua scripts for complex routing.

(8) Scala: Multi‑paradigm language integrating object‑oriented and functional programming features.

(9) Golang: Compiled, concurrent language with garbage collection developed by Google.

(10) RESTful: Architectural style offering design principles for client‑server interactions, promoting simplicity and cacheability.

(11) Thrift: Framework for building scalable, cross‑language services with code generation.

(12) Hadoop: Distributed system infrastructure for processing large data sets reliably and efficiently.

(13) HDFS: Hadoop Distributed File System providing high fault tolerance and high throughput on inexpensive hardware.

(14) MapReduce: Programming model for parallel processing of massive data sets by distributing computation across clusters.

(15) HBase: Open‑source, column‑oriented distributed database suitable for unstructured data.

(16) Zookeeper: Open‑source coordination service offering configuration maintenance, naming, synchronization, and group services for distributed applications.

(17) Hive: Data‑warehouse tool on Hadoop that maps structured data to tables and translates SQL queries into MapReduce jobs.

(18) Pig: Lightweight scripting language for processing data in HDFS and HBase, simplifying complex data transformations.

(19) Ambari: Web‑based tool for provisioning, managing, and monitoring Apache Hadoop clusters.

(20) Sqoop: Facilitates data transfer between Hadoop (Hive) and traditional relational databases.

(21) Chubby: Google’s coarse‑grained lock service providing centralized coordination for reliable systems.

(22) Memcache: Distributed in‑memory caching system maintaining a large hash table for various data formats.

(23) Redis: High‑performance key‑value store that complements relational databases in many scenarios.

(24) Ehcache: Open‑source Java distributed cache supporting memory and disk storage, cache loaders, and REST/SOAP APIs.

(25) Kafka: High‑throughput distributed publish‑subscribe messaging system handling large streams of user actions.

(26) Beego: Go HTTP framework for rapid development of APIs, web applications, and backend services, supporting RESTful design.

(27) Spark: General‑purpose parallel processing framework implemented in Scala, improving on Hadoop MapReduce for iterative algorithms.

(28) Akka: Toolkit and runtime for building highly concurrent, distributed, and fault‑tolerant applications on the JVM, with APIs for Scala and Java.

(29) Elasticsearch: Lucene‑based search server offering distributed full‑text search via RESTful APIs, suitable for cloud environments.

(30) ExtJS: AJAX framework for developing rich internet applications, usable across various back‑end languages.

(31) Bootstrap: Popular front‑end framework based on HTML, CSS, and JavaScript, allowing extensive customization.

(32) Eview: Proprietary front‑end component suite supporting WebUI development.

(33) AngularJS: Front‑end JavaScript framework featuring MVC, modularity, two‑way data binding, and dependency injection.

(34) Polymer: Library for building web applications with reusable Web Components, providing polyfills for broader browser support.

(35) jQuery: Lightweight JavaScript library simplifying DOM manipulation, event handling, animation, and Ajax interactions.

(36) Prototype: Small‑size Ajax framework that simplifies JavaScript coding while ensuring cross‑browser compatibility.

(37) Underscore: JavaScript utility library offering over 100 functional programming helpers without extending native objects.

(38) RequireJS: Module loader for JavaScript enabling modular code organization and dependency management.

(39) JavaScript: Interpreted, dynamic, prototype‑based scripting language widely used for client‑side web development.

(40) TypeScript: Superset of JavaScript adding optional static typing and class‑based object‑oriented features.

(41) Apache: Leading open‑source web server software running on virtually all major platforms.

(42) Nginx: Lightweight web server and reverse proxy with low memory footprint and high concurrency.

(43) OpenStack: Open‑source cloud computing platform providing Infrastructure‑as‑a‑Service via a suite of integrated services.

(44) Nova: OpenStack compute service managing the lifecycle of virtual machine instances.

(45) Swift: Distributed object storage service in OpenStack offering high durability and scalability for large data volumes.

(46) Glance: OpenStack image service for discovering, registering, and retrieving virtual machine images.

(47) Keystone: OpenStack identity service providing authentication and authorization across components.

(48) Horizon: Web‑based dashboard for managing OpenStack services, including instances, images, and volumes.