The article analyzes cutting‑edge AI search and recommendation techniques—including Alibaba Cloud's Agentic RAG, Huawei Noah's LLM‑enhanced recommender, and Baidu's generative ranking model—detailing their architectures, multi‑modal retrieval strategies, performance gains, and practical deployment insights.
The article examines Xpeng Motors' cloud‑native AI strategy, detailing its 10‑thousand‑GPU cluster with over 95% utilization, AI‑powered digital employees in customer service and finance, AI Coding acceleration, and global 10 EFLOPS compute infrastructure that sustains high‑traffic car launches.
The article examines the rapid rise of one‑person companies, explains how AI boosts individual productivity yet leaves product validation and infrastructure selection unresolved, and presents a detailed case study of the "时踪" desktop agent to illustrate how mature cloud toolkits can enable efficient development, deployment, and scaling for solo founders.
By combining Alibaba Cloud's fully managed Argo Workflows with ACS's elastic compute, a gene bioinformatics platform boosted workflow efficiency by 70%, cut costs over 50% and reduced operational complexity 70%, delivering scalable, cost‑effective support for single‑cell, spatial transcriptomics and epigenomics research.
The article analyses how Kimi’s AI Agent workloads are deployed on Alibaba Cloud using ACK and the ACS Agent Sandbox, detailing the challenges of massive concurrency, rapid sandbox start‑up, state continuity, cost‑effective scaling, and the security and scheduling mechanisms that enable production‑grade performance.
Alibaba’s same‑city active‑active architecture deploys multiple data centers within one city, splits traffic between them, and ensures instant failover with layered high‑availability across access, application, and data layers, using technologies like DNS, SLB, Nginx, Redis and OceanBase.
The article outlines how AI development tools are shifting from adding model entry points to rebuilding the entire execution chain, covering Gemini CLI’s shutdown for personal users, GitHub Actions’ new security defaults, Alibaba Cloud’s Japan data‑center launch, agent runtime layering, open ARD specs, and emerging frameworks like Flue and Code Context Hologres.
The article explains how cloud computing reshaped software development, defines the cloud architect role, outlines required skills, compares major cloud providers, details design principles, certification paths, and career prospects, providing a comprehensive guide for aspiring cloud architects.
The article explains how Alibaba Cloud Monitoring CLI (aliyun cms2) and its Agent Skill turn traditional API‑based operations into AI‑driven, natural‑language workflows, enabling secure, auditable, and automated observability tasks such as resource onboarding, alarm management, and data queries.
The article analyzes Alibaba Cloud's Agent Infra constraint infrastructure, detailing the Harness formula, the six foundational capabilities, concrete technical stacks, multi‑layer governance, observability, rule management, and a data‑driven feedback loop that enables continuous evolution of AI agents in production.
The article explains the fundamentals of public, private and hybrid cloud, compares major Chinese and international providers with detailed price tables, outlines six core advantages of public cloud, and offers scenario‑based selection advice and common pitfalls to help enterprises avoid overspending and choose the most suitable cloud solution.
The article explains why stateful, security‑isolated AI agents suffer low resource utilization and high costs, and shows how Alibaba Cloud MSE AI task scheduling combined with Agent Sandbox’s dynamic sleep‑wake mechanism can reduce agent operating expenses by more than 90%, illustrated with a concrete five‑job scenario.
The article examines how AI‑native scientific agents demand flexible, secure, and observable infrastructure, and how Alibaba Cloud’s Serverless‑based AgentRun platform delivers extreme elasticity, cost reduction, stateful long‑running support, sandbox security, and full‑chain tracing to enable rapid deployment of tens of thousands of research tools.
This article walks through the core concepts of Spring AI Alibaba—including token mechanics, prompt structures, embedding, structured output, chat memory, RAG pipelines, function calling, and graph‑based multi‑agent workflows—while providing concrete code samples, configuration tips, performance tricks, and a curated list of common pitfalls.
Alibaba Cloud AI Search tackles high‑concurrency, multimodal, and multi‑hop queries by evolving its Agentic RAG architecture from a single agent to a coordinated multi‑agent system that integrates planning, retrieval, and generation, leverages hybrid vector‑text‑DB‑graph recall, GPU‑accelerated indexing, quantization, NL2SQL, and multimodal search, with performance data and real‑world case studies.
The article explains how Alibaba Cloud's Milvus Embedding Service eliminates the need for self‑hosted embedding models by integrating model inference, vector generation and Milvus indexing into a managed pipeline, dramatically reducing deployment complexity, operational overhead, and time‑to‑value for semantic search, RAG and multimodal retrieval use cases.
The article analyzes how recent price hikes and the shift from flat‑rate subscriptions to token‑based billing by GitHub Copilot, Alibaba Cloud, and other AI providers are forcing developers—especially the most productive ones—to face higher token consumption, diminishing marginal returns, and rising out‑of‑pocket costs.
This guide shows how to configure a Spring Boot 3 project with JDK 17, add the spring‑ai‑alibaba‑starter, obtain an Alibaba Cloud Baileian API key, and implement a simple AI chat controller for quick conversational testing.
The article analyzes the unprecedented challenges of operating hundreds of humanoid robots in outdoor, network‑unstable, and heterogeneous environments, and demonstrates how Alibaba Cloud's unified observability stack—combining metric monitoring, distributed tracing, and log governance—delivers a standardized, reusable, and edge‑aware operations framework for large‑scale embodied AI deployments.
Alibaba Cloud argues that while CPO (Co‑Packaged Optics) looks perfect on paper, its closed ecosystem and production delays make it impractical for today’s 100k‑GPU AI clusters, and proposes an open, dual‑network architecture—HPN for scale‑out and UPN for ultra‑low‑latency scale‑up—driving a realistic near‑term roadmap for optical interconnect.
This article details a step‑by‑step guide for constructing a high‑performance multimodal data pipeline—covering video segmentation, duration filtering, frame extraction, safety and aesthetic scoring, and caption generation—using Alibaba Cloud PAI, Paimon, DataJuicer, and distributed frameworks like Ray and Daft, with real‑world performance metrics.
This article explores the evolution from keyword to multimodal search, detailing a generic solution architecture, core embedding and vector retrieval technologies, and practical implementation using Alibaba Cloud AI Search Open Platform and Elasticsearch Serverless.
The AI Daily for April 10, 2026 reports that Fei‑Fei Li has been appointed Alibaba Cloud CTO, World Labs raised $1 billion, U.S. SaaS stocks fell nearly 40% due to AI agents, Amazon unveiled a faster Trainium3 chip and plans to sell it, Florida opened an OpenAI probe, and China’s token economy and AI‑driven video content are reshaping the industry.
The article details how Haier Smart Home’s AIoT platform tackled massive device messaging demands by migrating its self‑built Kafka clusters to Alibaba Cloud’s Kafka Serverless, outlining the technical challenges, step‑by‑step migration plan, custom performance tuning, risk‑co‑governance, and the resulting improvements in stability, throughput, and operational efficiency.
This guide explains how to build a secure, multi‑tenant data lake on Alibaba Cloud by combining OSS Access Points with VPC Gateway Endpoints, covering architecture overview, step‑by‑step configuration, policy examples, and best‑practice considerations for private‑network access.
This article explains how to connect OpenClaw, a leading AI agent platform, to Alibaba Cloud Log Service (SLS) using the SLS Access Center, providing one‑click log ingestion, built‑in audit and observability dashboards, and detailed guidance for security auditing, cost monitoring, and troubleshooting across multiple data sources.
This guide walks you through installing the OpenClaw AI agent framework on Alibaba Cloud's PAI‑DSW platform, covering why to choose PAI‑DSW, step‑by‑step deployment commands, model service configuration, accessing the Web UI, and real‑world use cases such as daily Q&A, file search, GPU monitoring, and automated experiment logging.
This guide walks you through setting up the open‑source CoPaw personal AI agent on Alibaba Cloud PAI‑EAS, covering why the platform is advantageous, the quick 5‑minute deployment steps, public network configuration, model integration, and how to start interacting with your private assistant.
This guide walks you through deploying the Qwen 3.5‑plus model on Alibaba Cloud ACK/ACS using the ACS Agent Sandbox, creating a CoPaw sandbox, configuring model access, integrating with DingTalk, and optionally using the sandbox’s pause‑and‑wake features.
This article reviews three advanced AI-driven solutions—Alibaba Cloud's Agentic RAG for high‑concurrency multimodal search, Huawei Noah's LLM‑augmented recommendation architecture, and Baidu's generative ranking model GRAB—detailing their challenges, designs, performance gains, and practical deployment insights.
This guide walks through the step‑by‑step process of deploying a daily‑triggered Python program to Alibaba Function Compute, covering account login, function creation, code packaging, runtime configuration, network settings, trigger setup, and verification of execution logs.
Alibaba's open‑source Qwen3.5‑397B‑A17B model, featuring 397 billion parameters and a hybrid Gated Delta Network/MoE architecture, delivers superior performance and reduced memory usage, and can be deployed instantly through the PAI‑Model Gallery with step‑by‑step guidance and enterprise‑grade security.
This step‑by‑step guide shows how to deploy OpenClaw on an Alibaba Cloud ECS instance, replace its default model with GLM‑4.7, configure a Feishu bot, and verify a continuously running AI assistant that can handle code, web browsing, and system tasks.
This step‑by‑step tutorial shows how to install the Webman PHP framework, integrate the Neuron AI Agent, configure a custom Alibaba Cloud Baileian model provider, build an AssistantAgent, and expose a Server‑Sent Events controller for real‑time AI chat responses.
This guide walks through Alibaba Cloud SLB’s architecture, product variants, and environment prerequisites, and step‑by‑step Terraform provisioning for CLB, ALB, and NLB, covering health checks, HTTPS setup, traffic routing, performance testing, best practices, security hardening, monitoring, and disaster‑recovery procedures.
This guide walks you through installing the Moltbot AI assistant on Alibaba Cloud's lightweight application server, configuring Baidu's Bailei API key, opening required ports, generating access tokens, and accessing the chat interface, plus a quick overview of the pre‑installed Shadow Cloud Computer image.
This guide walks through configuring Alibaba Cloud credentials, implementing a FastAPI backend with email function calling, Alibaba OpenSearch, image generation via DashScope, speech recognition, and a responsive HTML/CSS/JavaScript front‑end that supports text chat, image recognition, image synthesis, and voice interaction.
This tutorial walks through setting up local speech recognition with OpenAI's Whisper and Vosk, leveraging Alibaba Cloud's ASR services, building a WebSocket server/client for real‑time audio streaming, capturing audio in the browser via MediaRecorder or RecordRTC, and performing speech synthesis with pyttsx3 and Alibaba's Sambert model.
This article details a cloud‑native architecture that combines Meta Ray‑Ban AI glasses, a custom iOS app, and Alibaba Cloud Function Compute (FC) with AgentRun to perform OCR‑based traffic rule enforcement, showcasing a three‑layer "client‑brain‑tools" design, prompt‑driven logic, and cost‑effective serverless deployment.
This guide walks through designing and implementing an AI assistant that connects FastAPI to Alibaba Cloud large‑model services, supports streaming text Q&A, image understanding, text‑to‑image generation, network search, and MCP‑based map queries, with full front‑end and back‑end code examples.
This article walks through turning a Meta Ray‑Ban AR headset into an AI‑powered traffic enforcement prototype by combining a lightweight iOS client, Alibaba Cloud Function Compute AgentRun, prompt engineering, and serverless tools to perform OCR, rule checking, and real‑time feedback.
This article explains the prerequisites, usage steps, and Java code for sending single SMS verification messages using Alibaba Cloud's SendSms service, including notes on batch limits and signature handling.
This article provides a detailed, hands‑on tutorial for creating an AI agent, covering registration and API key setup for Alibaba Cloud, OpenAI, Dashscope and DeepSeek, installing and using Ollama for local model deployment, configuring CherryStudio, and implementing function‑calling and MCP techniques with full code examples.
This guide explains how to set up Alibaba Cloud Service Mesh (ASM) on an ACK Kubernetes cluster, covering prerequisites, two methods of cluster registration, creation of north‑south and east‑west gateways, traffic routing with HTTPRoute, security policies using PeerAuthentication and AuthorizationPolicy, and observability configuration via Telemetry.
This guide explains the fundamental differences between Layer 4 (transport‑level) and Layer 7 (application‑level) load balancers, compares Alibaba Cloud and Tencent Cloud offerings across performance, features, and pricing, and provides practical selection tips and common pitfalls to avoid.
This guide explains how to use Alibaba Cloud's AgentScope framework and Container Service to build, orchestrate, and deploy enterprise‑grade AI agents, covering background, core features, step‑by‑step deployment, sandbox integration, and best‑practice recommendations for cloud‑native AI workloads.
This article walks through two real‑world cases of network packet loss in Alibaba Cloud ACK clusters, showing how SysOM’s intelligent diagnostics and systematic checks—covering iptables, kernel drops, hooks, and nftables rules—can quickly locate the root cause and restore service continuity.
This article explains why KV‑Cache hit rate is critical for large‑model inference, describes vLLM's automatic prefix caching, outlines the distributed cache challenges, and provides a step‑by‑step guide to deploying Alibaba Cloud ACK Gateway with Inference Extension's precise‑mode prefix‑cache‑aware routing, backed by benchmark results.
This article walks through real‑world cases of network packet loss in Alibaba Cloud Kubernetes clusters, showing how SysOM’s diagnostics quickly locate root causes—ranging from kernel‑level drops to hidden netfilter hooks and nftables rules—and provides a step‑by‑step troubleshooting guide for cloud‑native operations teams.
This guide explains Alibaba Cloud ESA's free CDN tier, covering its generous unlimited‑traffic offering, step‑by‑step application, region‑selection modes, domain integration, special port and cache configurations, renewal tricks, performance benchmarks, and comparisons with competing services.
When migrating automotive workloads to cloud-native containers, unexpected OOMKilled pods often hide a large amount of Java memory consumption caused by JNI, libc, and Transparent Huge Pages, which can be identified and resolved using the Alibaba Cloud OS Console's memory panorama analysis and hotspot tracing features.
The article explains how Alibaba Cloud OS Console’s one‑click IO diagnosis automatically monitors key IO metrics, computes dynamic thresholds, detects anomalies such as high latency or iowait, and provides root‑cause analysis and remediation suggestions to improve cloud storage performance in multi‑tenant environments.
This guide explains how to achieve end‑to‑end observability for Dify low‑code LLM applications by combining Dify's built‑in monitoring, third‑party tracing services like Langfuse, and Alibaba Cloud's CloudMonitor with Python and Go probes, covering component‑level tracing, configuration steps, and trace linking for debugging and performance optimization.
This guide explains the observability challenges of Dify's low‑code LLM platform, analyzes its native and third‑party monitoring capabilities, and provides a step‑by‑step solution using Alibaba Cloud's non‑intrusive Python and Go probes, Trace Link integration, and detailed deployment instructions to monitor every component from the API to plugins and sandbox.
This article explains how to protect sensitive e‑commerce chatbot logs by using Alibaba Cloud Log Service (SLS) masking functions together with LoongCollector to collect, mask, and store logs securely, enabling operations, product, and security teams to analyze data without exposing personal information.
The article explains how Alibaba Cloud’s OS console implements a one‑click IO diagnostic that automatically detects, classifies, and resolves high‑latency, burst, and iowait IO issues in multi‑tenant cloud environments by using dynamic thresholds, periodic metric collection, and targeted root‑cause analysis.
This article outlines Alibaba Cloud AI Search’s evolution, detailing its dual product lines—enhanced Elasticsearch and self‑developed OpenSearch—key Agentic RAG technologies, serverless architecture, vector and LLM‑driven search capabilities, and future directions in AI‑powered search.
At the 4th China IPv6 Innovation Development Conference, Alibaba Cloud showcased its rapid IPv6 deployment—boosting IDC traffic share from 12% to 40%, expanding cloud product support to 97%, and leveraging IPv6/SRv6 to meet AI large‑model network demands, while sharing best practices across industry and government partners.
The article outlines how Alibaba Cloud’s container service has evolved to support large‑scale GPU clusters, AI data pipelines, and the new AI Serving Stack, enabling enterprises to deploy, scale, and manage LLM inference services efficiently while addressing Day0‑Day2 challenges.
This article explains Alibaba Cloud's Log Service (SLS) soft‑delete feature, describing its mark‑and‑filter mechanism, implementation steps, and real‑world scenarios where it replaces costly hard‑delete or ETL solutions with near‑instant, low‑impact data removal for compliance, emergencies, and test‑data contamination.
This article details Bull Group's journey from an open‑source SkyWalking monitoring setup to Alibaba Cloud ARMS, outlining the architectural challenges, technical selection criteria, migration steps, and the resulting improvements in observability, AI‑IoT integration, and operational efficiency.
The article reviews Alibaba Cloud's OSS Browser 2.0, highlighting its refreshed interface, three login options, batch and folder upload up to 10 GB, online preview/edit capabilities, and compares its stability and usability against the older 1.0 client that struggled on Windows Server.
This guide explains how to quickly deploy the open‑source Dify AI platform on Alibaba Cloud's Serverless Application Engine, covering the challenges of private deployment, the benefits of SAE's one‑click solution, and detailed step‑by‑step configuration to achieve a production‑grade AI service.
This guide explains how to design and implement a complete observability solution for large‑model AI services on Alibaba Cloud, covering architecture, core metrics, logging standards, demo code, log collection, dashboard design, alerting, monitoring tools, troubleshooting SOPs, and recovery procedures.
This guide explains how to connect Alibaba Cloud's Cloud Effect AppStack with the Serverless Application Engine (SAE), covering role creation, trust policy configuration, service connection setup, cluster linking, application template usage, deployment orchestration, and pipeline execution to achieve low‑cost, high‑quality, and efficient continuous delivery.
This step‑by‑step tutorial shows how to quickly launch OpenAI’s open‑source gpt‑oss‑20b model on Alibaba Cloud PAI without writing code, configure the deployment, and start chatting with the model using the Cherry Studio client.
This article details how a leading Southeast Asian tech group migrated from BigQuery to MaxCompute, designing a multi‑tenant big data platform with separate control and data planes, addressing cross‑account access, governance, and cost challenges on Alibaba Cloud.
This guide walks through a real‑time security investigation of suspicious AccessKey activity using Alibaba Cloud's MCP server, detailing environment setup, JSON configuration, natural‑language queries, and four practical audit scenarios—including tracking AK usage, identifying high‑risk operations, monitoring root account activity, and summarizing recent cloud service events.
This guide walks through a real‑world AccessKey security incident, showing how to configure the Alibaba Cloud Observability MCP server, import JSON settings into Cherry Studio, and use natural‑language queries to audit logs, identify risky operations, monitor root account usage, and summarize overall system activity.
This guide explains how to efficiently preprocess, index, and query massive JSON logs in Alibaba Cloud Log Service (SLS) using flattening, ingestion processors, data processing tasks, powerful JSON functions, unnesting, and the AI‑driven SQL Copilot to turn raw log data into actionable insights.
Learn step‑by‑step how to create an AI‑driven zodiac horoscope chatbot on Alibaba Cloud Baileian, configure the Alipay MCP payment service, set up secure KMS credentials, and achieve a complete commercial pay‑to‑use loop from user query to transaction confirmation.
This article explains how Alibaba’s massive MaxCompute platform tackles the growing challenge of hardware failures by using predictive detection, automated server offline, self‑healing workflows, and cluster rebalancing to close the fault loop before business impact, while detailing the underlying architecture and operational principles.
This guide explains how to deploy the open‑source Qwen3‑Coder model on Alibaba Cloud's PAI platform, use the interactive PAI‑DSW environment, run code snippets, and generate notebook tutorials with the model's agentic CLI, covering both enterprise and individual developer scenarios.
This article explains how Alibaba Cloud's PAI platform uses an asynchronous inference framework with dedicated queue and inference services to overcome high‑latency challenges, enable load‑balanced request distribution, provide health‑check failover, and support automatic scaling for large‑model AI workloads.
This article introduces the open‑source Qwen3‑Coder AI programming model, explains its capabilities, shows how to deploy it with Alibaba Cloud's PAI‑Model Gallery in one click, and provides step‑by‑step guidance for using the model via the Agentic CLI and other coding tools.
Alibaba Cloud Service Mesh (ASM) 1.25 introduces Ambient mode, a sidecar‑less architecture that decouples the mesh from pods, enabling instant mTLS, lower latency, reduced resource consumption, and optional Waypoint proxies for advanced L7 features, all without redeploying applications.
Alibaba Cloud reported a 2024 revenue of 1134.99 billion RMB, becoming the first profitable Chinese cloud provider, while Oracle secured a $30 billion contract—double Alibaba's earnings—highlighting a stark China‑US gap in the enterprise cloud services market.
This article explains how Alibaba Cloud Lightweight Message Queue (formerly MNS) enables lossless, zero‑downtime service releases by redesigning the network entry layer, using load‑balancer draining, injecting HTTP close frames, and providing CI/CD scripts that work across ECS and Kubernetes environments.
This article explains how to use Alibaba Cloud's OS Console to identify, diagnose, and fix packet‑loss issues in cloud deployments, covering real‑world cases, step‑by‑step diagnostics, and practical tips for eliminating kernel, iptables, and netfilter causes.
This guide explains the challenges of traditional operations in the mobile era, introduces the Alibaba Cloud OOS AI Assistant for natural‑language, cross‑device incident response, and provides a step‑by‑step tutorial on configuring DingTalk bots, ChatOps integration, and best‑practice usage.
This article explains how the open‑source JManus framework enables Java developers to create, configure, and deploy multi‑agent AI applications on Alibaba Cloud's Serverless SAE and Function Compute platforms, highlighting its OpenManus compatibility, MCP protocol support, PLAN‑ACT mode, high‑availability architecture, performance advantages over low‑code solutions, and step‑by‑step deployment instructions.
This article introduces the integration of the open‑source distributed AI framework Ray with Alibaba Cloud’s PAI platform, detailing its advantages, architecture, fault‑tolerance, resource management, and provides a comprehensive step‑by‑step tutorial—including configuration, command examples, and code snippets—to efficiently run Ray jobs on PAI‑DLC.
Learn how to rapidly build an intelligent data analysis agent by integrating multi‑source data through Alibaba Cloud Hologres, leveraging Bailei’s AI model service and the serverless Function AI platform, covering architecture, step‑by‑step deployment, verification, and resource cleanup for cost‑effective, real‑time business insights.
On June 6, 2025 Alibaba Cloud experienced a widespread DNS resolution failure affecting OSS, CDN, container image services and more, which was later linked to a Shadowserver sinkhole, and the article outlines the incident timeline, root‑cause analysis, and practical mitigation steps for operators.
This article explains how to build a flexible machine‑learning infrastructure on Alibaba Cloud ACK using Ray and KubeRay, covering Ray's core components, AI libraries, deployment options on VMs and Kubernetes, code examples for data processing, model serving, and advanced scheduling and quota management techniques.
Alibaba Cloud's Observable MCP Server enables natural‑language access to SLS logs and ARMS tracing, offering cross‑product data queries, security‑focused deployment options, and step‑by‑step usage instructions for developers and operators.
The article explains how Alibaba Cloud's OSSFS 2.0 redesign—dropping full POSIX semantics, leveraging FUSE 3 low‑level APIs, a lightweight metadata cache and internal coroutine technology—delivers up to 18‑fold faster sequential writes, 8.5‑fold faster reads and 280‑fold higher small‑file concurrency compared with OSSFS 1.0, making it ideal for AI training and inference in Kubernetes (ACK) environments.
Cosmos Reason-1, a customizable multimodal physical AI model from NVIDIA, can be quickly deployed on Alibaba Cloud’s PAI‑Model Gallery with zero‑code, offering automatic cloud resource adaptation, ready‑to‑use APIs, enterprise‑grade security, and demonstrated superior reasoning on video tasks, while the upcoming tools enable fine‑tuning via SFT and RL.
Learn how to quickly set up Alibaba Cloud’s Bailei platform to call the open-source Qwen3 large language model, explore its cost‑effective performance, dual‑mode reasoning, multilingual support, and enhanced agent capabilities, and follow step‑by‑step instructions for API key configuration, Cherry Studio integration, and tool‑calling setup.
Mooncake, an open‑source large‑model inference platform, introduces a KVCache‑centric architecture that dramatically improves throughput, reduces latency and cuts inference costs by up to 20%, while integrating with frameworks like SGLang and vLLM and leveraging Alibaba Cloud’s eRDMA and GPUDirect technologies for scalable, high‑performance deployments.
This case study details how 海牙湾 (G‑Town) migrated its digital platform to Alibaba Cloud Serverless services, addressing resource waste, elasticity limits, observability gaps, and operational complexity, and achieved over 60% cost savings, 3‑fold deployment speed, and near‑perfect availability through SAE, API Gateway, MSE, and automated CICD pipelines.
This article explains how enterprises can overcome the challenges of globally collecting logs by using Alibaba Cloud's high‑performance iLogtail/LoongCollector agents, selecting optimal network paths, applying cost‑saving strategies such as CloudLens diagnostics and LZ4 compression, and configuring multi‑region dual‑write for reliable, low‑cost log delivery.
This guide explains how to create a fast, reliable CI/CD workflow by integrating Jenkins, Docker, Maven, and Alibaba Cloud, covering pipeline benefits, step‑by‑step configuration, Docker image building, registry push/pull, Jenkins container setup, GitLab webhook integration, and common pitfalls with suggested optimizations.
IDEA no longer offers Java 8 when creating Spring Boot projects because it relies on Spring Initializr, which now only supports Spring Boot 3.x and Java 17+, but you can still generate Java 8‑compatible projects by switching to alternative starter services like Alibaba Cloud’s start.aliyun.com.
This guide explains how enterprises can reliably and cost‑effectively gather logs from distributed overseas environments into Alibaba Cloud Log Service (SLS) by selecting the right network path, leveraging iLogtail/LoongCollector agents, applying compression, filtering, multi‑region routing, and using CloudLens for monitoring and cost control.
This guide explains what Alibaba Cloud's MCP Server is, outlines its AI‑enabled DevOps capabilities such as code repository management, merge‑request handling and project management, and provides step‑by‑step instructions for prerequisites, installation, configuration, and a practical AI‑assisted development scenario using Tongyi Code.
This guide explains how to create a lightweight, extensible Alibaba Cloud OpenAPI MCP Server using only ten lines of Python, covering MCP fundamentals, tool registration via OpenAPI metadata, configuration, code examples, and client setup to enable seamless LLM integration with external services.
This guide explains how the open‑source MCP protocol from Anthropic, now offered as a full‑lifecycle service on Alibaba Cloud Bailian, lets you quickly create a plug‑and‑play AI agent that integrates large models with external tools such as maps and weather APIs, all in under five minutes.
This article introduces Qwen3, the latest dense and MOE large language model with dual‑mode reasoning, enhanced inference, multilingual support, and strong agent capabilities, and explains how Alibaba Cloud's PAI‑Model Gallery enables zero‑code, one‑click deployment and enterprise‑grade usage.
This tutorial walks you through creating a Node.js MCP service for an Alibaba Cloud Baileian workflow, packaging it as an npm module, publishing it, and finally integrating the custom MCP into Baileian to enable AI‑driven market research within intelligent agents.
