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Alibaba Cloud Native
Alibaba Cloud Native
Mar 27, 2025 · Cloud Native

Deploy the QwQ‑32B LLM on Alibaba Cloud Function Compute with CAP in Minutes

This guide walks you through deploying the open‑source QwQ‑32B model on Alibaba Cloud Function Compute using the Cloud Application Platform (CAP), covering architecture, required services, account setup, step‑by‑step deployment, cost considerations, model interaction via Open WebUI and Chatbox, scaling configuration, and resource cleanup.

CAPFunction ComputeOllama
0 likes · 8 min read
Deploy the QwQ‑32B LLM on Alibaba Cloud Function Compute with CAP in Minutes
政采云技术
政采云技术
May 19, 2022 · Databases

Distributed Transaction Consistency Solutions

This article explains the fundamentals of distributed transactions, covering ACID, CAP and BASE theories, and reviews various consistency solutions such as two‑phase commit, three‑phase commit, TCC, local message tables, MQ approaches and the Seata framework, highlighting their advantages and drawbacks.

2PCCAPConsistency
0 likes · 18 min read
Distributed Transaction Consistency Solutions
Top Architect
Top Architect
Sep 15, 2021 · Operations

Why ZooKeeper Is Not the Best Choice for Service Discovery: Design Considerations for Registration Centers

This article examines why ZooKeeper may not be the optimal solution for service discovery, analyzing CAP trade‑offs, consistency versus availability, scalability limits, health‑check design, and practical lessons from Alibaba’s decade‑long experience to guide the design of robust registration centers.

CAPDistributed Systemsregistration center
0 likes · 19 min read
Why ZooKeeper Is Not the Best Choice for Service Discovery: Design Considerations for Registration Centers
Wukong Talks Architecture
Wukong Talks Architecture
Dec 30, 2020 · Fundamentals

Understanding CAP, ACID, and BASE Theories Through the Metaphor of Tai Chi and Distributed Systems

This article uses the story of Tai Chi from the novel *The Heaven Sword and Dragon Saber* to explain the CAP theorem, ACID properties, BASE theory, and two‑phase commit in distributed systems, illustrating how consistency, availability, and partition tolerance correspond to the hard and soft aspects of Tai Chi.

ACIDAvailabilityBASE
0 likes · 14 min read
Understanding CAP, ACID, and BASE Theories Through the Metaphor of Tai Chi and Distributed Systems
Qunar Tech Salon
Qunar Tech Salon
Feb 3, 2020 · Operations

Why ZooKeeper Is Not the Best Choice for Service Discovery: Design Considerations for Registration Centers

Based on a decade of Alibaba’s production experience, this article analyzes the requirements and design trade‑offs of service‑discovery registries, arguing that ZooKeeper’s strong consistency and coordination focus make it unsuitable as a primary registration center and proposing AP‑oriented, scalable alternatives.

AlibabaCAPZooKeeper
0 likes · 18 min read
Why ZooKeeper Is Not the Best Choice for Service Discovery: Design Considerations for Registration Centers
Tencent Cloud Developer
Tencent Cloud Developer
Aug 19, 2019 · Backend Development

Backend Development Concepts and Terminology Overview

The article offers a comprehensive overview of backend development, explaining core system design principles, architectural patterns, network communication techniques, fault handling strategies, monitoring and alerting practices, service governance mechanisms, testing methodologies, and deployment workflows, from high cohesion and scaling to gray‑scale releases and rollbacks.

BASECAPMicroservices
0 likes · 26 min read
Backend Development Concepts and Terminology Overview
dbaplus Community
dbaplus Community
Jul 31, 2018 · Databases

Mastering Distributed Transactions with ShardingSphere: From ACID to TCC

This article explains the challenges of preserving ACID properties in distributed environments, introduces CAP and BASE trade‑offs, reviews industry transaction models such as XA, 2PC, weak XA, BED, TCC and Saga, and details how ShardingSphere implements and plans to evolve support for these distributed transaction mechanisms.

BASECAPShardingSphere
0 likes · 19 min read
Mastering Distributed Transactions with ShardingSphere: From ACID to TCC
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Apr 7, 2017 · Databases

Mastering Final Consistency: Strategies for Distributed Transactions

Ensuring final data consistency in modern applications—whether enterprise or internet—requires understanding ACID, CAP, BASE theories and applying practical techniques such as single-database transactions, two-phase commit, transactional message queues, compensation tasks, async callbacks, and double-check mechanisms to build robust distributed systems.

ACIDBASECAP
0 likes · 8 min read
Mastering Final Consistency: Strategies for Distributed Transactions