Ryan Dahl, the creator of Node.js, announced celld—a self‑hosted, distributed implementation of Cloudflare Workers and Durable Objects that promises lower costs, uses S3 storage, Rust/Tokio runtime, and supports stateful serverless workloads such as real‑time collaboration and AI agents.
The article examines how to construct a container‑based sandbox infrastructure for multi‑agent AI systems, covering isolation mechanisms, lifecycle management, resource scaling, checkpoint/commit techniques, the OpenKruise Agents project, ecosystem integration, and production case studies with performance metrics.
Youzan unified over 190 AI Agents on Alibaba Cloud's FC sandbox, achieving extreme elasticity, six‑dimensional security isolation, seamless migration of existing workflows, and a dramatic reduction in compute costs with 87% of resources in low‑cost sleep mode.
The MCP protocol’s fifth major version switches from a stateful bidirectional model to a stateless request/response design, adding new headers, auth hardening, deprecating legacy features, updating SDKs, and gaining broad cloud and tool support, while outlining migration steps for production users.
PostgreSQL is attracting renewed interest not because it magically becomes an all‑purpose AI database, but because AI applications in production demand a unified, consistent platform that can manage business records, vector embeddings, agent state, permissions and tooling, and PostgreSQL’s extensible ecosystem—pgvector, serverless architectures, branching, and MCP—offers exactly that blend of relational reliability and AI‑native capabilities.
A SaaS platform’s consumer count surged from 200 to nearly 20,000, causing open‑source Higress authentication latency to jump 34‑fold and configuration size to balloon 8,457‑fold, while a local comparative test shows the Higress Enterprise Serverless edition maintains sub‑2 ms latency, 100 % success, tiny config footprints, and up to 90 % lower annual costs.
This article explains the serverless execution model, compares major providers such as AWS Lambda, Vercel Functions, and Cloudflare Workers, and offers practical code examples and cold‑start mitigation techniques for building and operating serverless applications.
The article explains how AI‑generated code can be delivered in seconds, but traditional databases add a ten‑minute bottleneck, and shows that Volcano Cloud PostgreSQL Serverless reduces instance creation to 10 seconds, speeds up branch operations 200‑fold, offers scale‑to‑zero, cuts costs by 99.99%, and provides a Data‑as‑Git workflow with a step‑by‑step recovery demo.
This article explains what serverless databases are, compares them with traditional databases, and provides detailed overviews, core concepts, and code examples for four major services—PlanetScale, Neon, Supabase, and Turso—highlighting features such as automatic scaling, pay‑as‑you‑go pricing, and global replication.
The article explains how modern e‑commerce search is evolving from simple keyword matching to multi‑modal retrieval, outlines a generic architecture that combines text and image embeddings, describes vector similarity metrics and quantization techniques, and demonstrates how Elasticsearch Serverless and Alibaba Cloud AI Search Platform enable a low‑cost, fully managed end‑to‑end multi‑modal product search solution.
Vercel’s new public‑beta WebSocket support lets Vercel Functions handle native ws and Socket.IO connections, enabling real‑time chat, collaborative editing, and low‑frequency game interactions without moving backend code to a separate platform, while outlining scaling limits and best‑practice storage considerations.
ZestKV, built on Pika, introduces a seven‑layer compute‑storage separation architecture that eliminates capacity limits, offers second‑level elastic scaling without data migration, maintains stable P99 latency, guarantees zero data loss, provides multi‑tenant isolation, and remains fully compatible with the Redis protocol for a wide range of cloud‑native workloads.
The 2026 SelectDB AI product launch outlines how the database addresses four Agent‑era challenges—sub‑second speed, unified multi‑modal data, Agent‑Native interfaces, and cloud elasticity—through benchmark‑backed performance, a new MCP server, Litefuse observability, and a serverless architecture.
The article walks through the evolution of e‑commerce search from simple keyword matching to multi‑modal retrieval, explains a generic architecture that fuses text and image embeddings, details core techniques such as dense, sparse and hybrid models, vector similarity metrics, quantization methods like SQ and BBQ, and demonstrates how Elasticsearch Serverless provides a server‑less, cost‑effective platform to implement the end‑to‑end solution.
The article analyses how Vibe Coding platforms let ordinary users create full‑stack applications with natural language, exposing challenges such as agent runtime, sandbox isolation, multi‑tenant resource boundaries and cost efficiency, and shows how Tencent CloudBase redesigns cloud services to address these issues, achieving up to 3.8× faster provisioning and 52% token savings.
Tencent Cloud Database unveils a full‑stack upgrade for the Agent era, introducing Agent Memory, TDSQL Boundless, TDSQL‑C dual‑engine, and DatabaseClaw, each delivering multi‑modal fusion, serverless elasticity, zero‑ETL cloning, and AI‑native query capabilities that reshape how agents store and retrieve data.
Alibaba Cloud's Knative now integrates a dedicated Agent Sandbox workload type, enabling stateful AI agents to run in a serverless Kubernetes environment with per‑user isolation, automatic scaling, instant pause/resume, and warm‑pool pre‑warming for zero‑cost idle periods.
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.
The article outlines how Tencent Cloud's TDSQL‑C tackles the four core pain points of traditional databases—elasticity, tuning difficulty, cost waste, and operational complexity—by adopting a storage‑compute‑separated, Serverless architecture, AI‑driven predictive scaling, a self‑learning optimizer, and the AI Navigator management system, delivering up to 30% performance gains and 20% cost reduction in real‑world use cases.
PinMe is a zero‑configuration CLI that lets developers launch a front‑end, Cloudflare Worker backend, and D1‑style database with one command, supports layered updates, static‑only uploads, and even exposes a Claude Code skill for AI‑driven automation.
The article analyzes the shift from keyword‑based to multimodal e‑commerce search, outlines a generic architecture that combines text and image embedding with vector retrieval, and demonstrates how Elasticsearch Serverless and Alibaba Cloud AI Search platform enable a low‑cost, scalable, and high‑performance product search solution.
The article reframes enterprise IT projects as long‑term liabilities, breaking down hidden costs across four layers, illustrating how unchecked system proliferation erodes value, and proposes Serverless, AI Agents, platform engineering, and IaC as 2026 solutions together with five practical debt‑management principles.
This article presents a comprehensive, end‑to‑end solution for multimodal product search, detailing how embedding, vector retrieval, and Elasticsearch Serverless combine to enable text, image, and natural‑language queries with high relevance and low operational overhead.
This guide walks through the challenges of turning a locally built prototype into a globally accessible site and shows how TRAE AI IDE combined with IGA Pages enables one‑click, serverless deployment, GitHub integration, edge functions, custom domains, and sustainable CI/CD workflows for developers and product teams.
This article walks through a complete multimodal product search solution, explaining how embedding and vector retrieval technologies—combined with Elasticsearch Serverless and Alibaba Cloud AI Search—enable image‑based and semantic queries, detailing the architecture, key algorithms, quantization tricks, and practical deployment steps.
The author open‑sources a never‑launched WeChat e‑commerce mini‑program, recounts how 95% of its code was generated by AI, analyzes the project's architecture, the challenges faced with the original demo and AI tooling, and shares a detailed AI‑assisted development workflow.
The article breaks down ds2api, an open‑source Go middleware that instantly converts DeepSeek’s protocol to OpenAI, Claude, and Google formats, supports multi‑account rotation, and can be deployed via binary, Docker, or Vercel Serverless in minutes.
This case study details how a media platform processed 2,500 short‑series episodes in three days using a serverless AWS pipeline that merged and transcoded videos while reducing total cost by 60% compared with a MediaConvert‑only solution.
This guide outlines the five most common Kubernetes operational pitfalls, offers step‑by‑step remediation practices, introduces three emerging trends such as AI‑assisted troubleshooting, serverless clusters, and Tekton CI/CD, and provides three ready‑to‑copy kubectl commands to streamline daily management.
Tencent Cloud open‑sources Cube Sandbox, a hardware‑isolated, sub‑60 ms startup sandbox for AI agents that is E2B‑compatible, dramatically reduces memory usage, supports continuous "think‑execute‑feedback" loops, and outperforms traditional Docker‑based sandboxes in speed, security, and scalability.
AgentRun offers a cloud‑native, serverless platform that abstracts the full lifecycle of AI agents—definition, runtime, session, and event stream—while providing enterprise‑grade features such as model‑agnostic services, data‑in‑region networking, unified credential management, multi‑tenant isolation, full‑stack observability, and elastic scaling.
This article explains a complete multimodal product search solution that combines text and image embeddings, dense, sparse, and hybrid models, vector similarity metrics, and Elasticsearch Serverless features such as dense_vector, sparse_vector, hybrid search, quantization, and RRF ranking to achieve fast, accurate, and cost‑effective retrieval.
Spring Boot’s heavy runtime, driven by reflection and classpath scanning, incurs long cold starts and high memory usage, making it costly for serverless and edge deployments; lightweight frameworks like Quarkus, Micronaut, and Helidon shift work to compile time and offer native images, but introduce trade‑offs in dynamism, ecosystem coverage, and build complexity.
Apache Spark 4.0 introduces a high‑performance VARIANT data type for semi‑structured JSON, native SQL UDFs that eliminate Python UDF bottlenecks, a richer Python DataSource API, a new pipeline syntax, upgraded Structured Streaming state management, and Alibaba Cloud EMR Serverless optimizations that together deliver up to 30% speed gains and seamless migration from Spark 3.x.
The author shares a detailed, spec‑driven workflow that combines Claude Code’s generative AI with AWS serverless services, outlining planning, modular stack design, token‑limit handling, and practical lessons for building reliable, maintainable cloud applications.
This article compares four microservice deployment strategies—single-host multi-instance, containerized with Kubernetes, serverless functions, and full orchestration—detailing their architectures, benefits, drawbacks, and suitable scenarios, helping engineers select the most appropriate approach for scalability, reliability, and operational complexity.
AI agents often forget user intents after a few interactions, leading to poor experience and lost business, and while building a reliable memory system is technically feasible, teams face challenges in storage, retrieval, consistency, scalability, compliance, and operational overhead, which AgentLoop MemoryStore aims to solve with a serverless, enterprise‑grade architecture.
The article revisits the rise and fall of database sharding, explains why it became problematic, and evaluates newer cloud‑native, distributed‑SQL, and serverless databases as modern replacements, offering a practical four‑step guide to help engineers choose the right solution for their workload and team.
This article presents a detailed case study of how a manufacturing company replaced manual Excel‑based overseas logistics price lookups with an AI‑driven, serverless solution built on Amazon Bedrock AgentCore, Kiro, and Amazon Quick Suite, achieving rapid, precise quotations while eliminating operational overhead.
The article explains how uncontrolled cloud spending arises from resource leaks and mis‑configured scaling, critiques traditional cost‑reporting methods, and presents an AI‑powered solution built with Strands Agents and Amazon Bedrock AgentCore Runtime that offers natural‑language queries, automated anomaly detection, multi‑account aggregation, and serverless deployment for immediate cost control.
Cloudflare's new EmDash CMS, built with TypeScript and AI integration on the serverless Workers platform, challenges WordPress by offering a sandboxed, scalable alternative, but faces hurdles like a missing plugin ecosystem and early authentication bugs.
The article analyzes nine prevalent Java trends—ranging from over‑automated DevOps pipelines to outdated Spring versions and serverless cold starts—that silently consume JVM performance, and provides concrete engineering recommendations to mitigate each issue.
The article shows how to combine Claude Agent SDK, Amazon Bedrock, and AgentCore Runtime to move a locally‑developed agent into a stable, observable, and scalable production environment, covering architecture, CRIS choices, code examples, packaging, deployment steps, IAM setup, and best‑practice insights.
This article compares four microservice deployment models—single‑machine multi‑process, containerized, serverless, and Kubernetes‑based orchestration—detailing their architectures, advantages, drawbacks, and ideal use cases for modern cloud‑native applications.
The article analyzes common misconceptions and hidden costs of serverless adoption, outlines four critical steps from PoC to production, and presents five enterprise‑grade best practices—including scenario selection, framework usage, observability, security, and cost governance—to ensure reliable, cost‑effective serverless deployments.
This article surveys the rapidly growing OpenClaw AI‑agent ecosystem, evaluating dozens of tools—from social‑only agents like Moltbook to memory solutions, skill stores, deployment platforms, security gateways, and hardware—highlighting their features, costs, real‑world significance, and ideal user groups.
This article explains how to package eight years of cloud development experience into Agent Skills, enabling AI to generate production‑ready code, overcome local‑only limitations, and follow secure engineering practices through progressive skill loading, cloud‑native authentication, and database access controls.
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.
The article details how the "Qinbao" parenting app, serving over ten million daily active users and massive photo/video uploads, tackled high‑concurrency writes, instant cross‑device notifications, and distributed transaction consistency by migrating to Alibaba Cloud RocketMQ 5.x Serverless, achieving millisecond latency, elastic scaling, and near‑perfect reliability.
By integrating Alibaba Cloud ACK’s Kubernetes VolumePopulator with Argo Workflows, this guide shows how to pre‑populate independent high‑performance volumes for each parallel task, eliminating I/O contention, ensuring data isolation, and enabling scalable, serverless‑accelerated pipelines for large‑scale data processing.
This guide walks you through deploying the OpenClaw autonomous‑agent platform on Alibaba Cloud Serverless Application Engine (SAE), covering architecture, prerequisites, Docker‑in‑Docker setup, sandbox configuration, model integration, and DingTalk AI assistant creation.
This article walks through integrating an AI‑powered Agent into an internal BFF platform using LangGraph, detailing the architectural choices, state‑graph implementation, prompt engineering, knowledge‑base construction, tool integration, conversation handling, and context compression techniques to enable reliable script generation, execution, and validation.
This article explains how lightweight security sandboxes in serverless function compute provide strong process isolation, elastic resource scaling, and pay‑per‑use economics, enabling AI agents to execute untrusted code safely while supporting session lifecycle management, protocol extensions, and cost‑effective billing models.
This article explains how to package eight years of Tencent CloudBase experience into AI Agent Skills, enabling AI to generate production‑ready code that respects security, authentication, and multi‑environment constraints, and shows practical steps, pitfalls, and real‑world examples.
Despite long‑standing rumors of its demise, PHP powers over 80% of websites in 2026, offering web‑native productivity, a mature ecosystem, pragmatic flexibility, and emerging trends like micro‑services and serverless, making it a compelling choice for modern backend development.
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 outlines four primary microservice deployment strategies—Kubernetes orchestration, service‑mesh architecture, containerization, and serverless functions—detailing their principles, core advantages, and ideal use cases for large‑scale distributed systems, and highlights self‑healing, auto‑scaling, zero‑ops, and observability features that help handle massive traffic spikes.
This article explains how Alibaba Mama’s advertising engine adopted a Serverless, Graph‑as‑a‑Service (GaaS) model to unify budgeting across multiple ad lands, align development‑to‑delivery granularity with graph structures, and dramatically improve testing, experimentation, and production release efficiency.
The article analyzes the security, state‑keeping, latency, dependency, and cost challenges of running AI Agents in serverless environments and explains how AgentRun, built on Alibaba Cloud Function Compute with RunD isolation and session affinity, provides a secure, low‑cost, high‑performance sandbox solution.
AgentRun Sandbox leverages Alibaba Cloud Function Compute, RunD secure virtualization, session affinity, and dynamic NAS mounting to provide a high‑performance, low‑cost, stateful execution environment for AI agents, addressing security, cold‑start latency, resource isolation, and lifecycle management challenges inherent to traditional serverless platforms.
This guide explains how to combine AgentScope with Knative to efficiently develop, build, and deploy AI agents using serverless containers, covering key features, pain‑point solutions, installation steps, code examples, deployment commands, and post‑deployment observations.
Amazon S3 Vectors, now generally available, reduces vector‑storage costs up to 90%, scales a single index to 20 billion vectors, delivers sub‑second query latency and 1,000 PUT /s write throughput, and integrates with Bedrock, OpenSearch, CloudFormation, and PrivateLink for end‑to‑end AI workloads.
This article explains the evolution from Pika, a RocksDB‑backed Redis‑compatible KV store, to ZestKV’s serverless, storage‑compute separated architecture, detailing design shortcomings, core components, multi‑tenant support, elastic scaling, performance benchmarks, and future roadmap.
The Guangzhou AI‑native application salon gathered over 140 tech professionals to share deep technical insights on AgentScope Java, the HiMarket AI platform, Serverless‑based AgentRun, LoongSuite observability, and RocketMQ‑driven A2A communication, concluding with a hands‑on workshop for building intelligent agents.
This article demonstrates how to build a smart to‑do application that uses Amazon Nova Sonic’s real‑time bidirectional streaming API to enable hands‑free voice interaction, detailing the underlying AI model, AWS serverless architecture, deployment steps, and verification procedures.
This case study details how a major internet visual platform consolidated its log, keyword, and vector search workloads onto Alibaba Cloud Elasticsearch, eliminating three separate pipelines, reducing write‑costs by 60%, cutting storage expenses over 60%, and achieving multi‑fold performance gains through serverless scaling, FalconSeek engine optimizations, and unified monitoring.
This article explains how the cloud‑native Knative serverless framework reduces GPU waste, enables request‑driven autoscaling to zero, accelerates AI model versioning and startup with Fluid, and integrates protocols like MCP and A2A to deliver cost‑effective, high‑performance AI inference services.
A real‑world incident where adding a hot term to the IK analyzer caused a P0 outage in an e‑commerce search system is dissected, revealing a clash between dynamic dictionary updates and immutable inverted indexes, and showing how Alibaba Cloud Elasticsearch Serverless’s index‑level dictionary isolation eliminates the problem while keeping services uninterrupted.
At re:Invent 2025, AWS executives Peter DeSantis and Dave Brown detailed a series of hardware and service innovations—including Graviton5, Trainium3/4, Lambda Managed Instances, Project Mantle, and S3 Vectors—showcasing how security, availability, elasticity, cost, and agility are becoming even more critical for the AI era, with concrete performance benchmarks from customers such as Airbnb, Apple, and Twelve Labs.
This article outlines four common microservice deployment approaches—single‑machine multi‑process, containerized deployment with Docker/Kubernetes, serverless functions, and service‑mesh architecture—detailing their advantages, limitations, and suitable scenarios for each method.
This article compares Amazon Bedrock AgentCore's container‑based and direct‑code deployment options, walks through a step‑by‑step Python example of the zip‑deployment workflow, and shows how the latter can cut iteration time from 30 seconds to about 10 seconds while simplifying setup.
Huolala, a leading smart logistics platform serving over 14 markets and millions of users, detailed its massive Elasticsearch deployment—over 1.5 万 CPU cores, 40 billion records, 4 PB data—highlighting multi‑AZ design, serverless migration, and a comprehensive management platform that boosted performance, reduced costs, and enabled AI‑driven services.
This article examines PHP-FPM's historical strengths, its growing incompatibilities with containerized and micro‑service architectures, outlines three key bottlenecks, and presents modern alternatives such as Swoole, FrankenPHP, and serverless runtimes that enable higher performance, better resource efficiency, and improved observability.
This article explains the limitations of the traditional HTTP+SSE transport for MCP, introduces the new MCP Streamable HTTP protocol with its unified endpoint, on‑demand streaming and session recovery features, and shows how it improves connection count, success rate, latency, and overall reliability for serverless function compute workloads.
The article provides a comprehensive overview of the AI Gateway product, detailing its evolution, core capabilities across model, tool, and agent access, security features, the open‑source HiMarket platform, and the new Serverless edition that dramatically lowers entry costs for AI workloads.
This guide explains how to address high deployment costs, slow iteration, and poor manageability of MCP Server by using Alibaba Cloud Function Compute for serverless execution and MSE Nacos Enterprise for automatic registration, dynamic configuration, and unified service governance.
This article explains how cloud computing has historically reduced accidental complexity, why AI agents introduce a fundamentally new software paradigm, and how Tencent Cloud's Agent Infra and Agent Runtime provide a layered, serverless, and secure infrastructure to support autonomous, uncertain, and complex AI workloads.
The article examines how AI application infrastructure is shifting from traditional always‑on, stateless deployments to serverless models that balance cost, scalability, and stateful conversational needs, outlining architectural challenges, evolution stages, and emerging solutions such as external state storage, session‑affinity scheduling, durable functions, and session‑oriented runtimes.
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.
From the early days of per‑hour VM rentals to today’s millisecond‑granular, resource‑aware pricing, serverless function compute has transformed its billing models across three stages, each driven by advances in request boundary detection, concurrency handling, and AI‑centric resource consumption, aligning cost with actual usage.
The article explains how Claude Code’s decision to use real‑time grep instead of code indexing reflects a 50‑year‑old Unix philosophy, showing that stateless design improves composability, scalability, predictability, and privacy across AI assistants, serverless platforms, and distributed systems.
This article explores why Claude Code’s decision to use real‑time grep instead of vector indexing reflects a 50‑year‑old stateless philosophy that improves composability, scalability, predictability and privacy, while also examining the historical roots, practical advantages, trade‑offs, and how the approach fits into modern AI‑driven development.
This article walks through a complete, low‑cost SEO pipeline built on Amazon Bedrock’s generative AI, covering automated keyword extraction, search‑intent analysis, product‑vector matching with FAISS, and AI‑driven content creation within a serverless, event‑driven architecture that scales efficiently while reducing manual effort.
This article details Kaltura's migration of Argo CD's built‑in Redis to AWS ElastiCache Serverless for Valkey, explaining the cost, performance, and operational challenges of the default setup, the step‑by‑step migration process, and the substantial savings and reliability gains achieved.
This article compares four microservice deployment approaches—independent VM processes, containerized services, serverless functions, and Kubernetes orchestration—detailing their advantages, drawbacks, and ideal scenarios to help teams select the most suitable architecture for their needs.
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 article examines the true cost‑saving potential of Serverless architectures, explains when they shine, breaks down direct and hidden expenses, warns about common pitfalls, and offers a step‑by‑step migration guide for teams considering the shift.
The article argues that the rapid rise of LLM‑driven AI agents exposes fundamental mismatches in current cloud‑native runtimes such as Kubernetes, and proposes an AI‑native serverless evolution that delivers lightweight session management, secure sandboxes, extreme elasticity, and cost‑effective on‑demand execution.
The article examines Docker's historic impact, its growing limitations in modern, large‑scale and diverse development environments, and surveys emerging lightweight runtimes, local development alternatives like ServBay, evolving orchestration options, and future trends shaping a more modular, secure, and AI‑driven container ecosystem.
This article outlines four microservice deployment approaches—multi‑instance, containerized, serverless, and Kubernetes orchestration—detailing their architectures, advantages, drawbacks, and ideal scenarios for modern cloud‑native applications.
Nuclio is an open‑source, Go‑friendly serverless platform that delivers high‑throughput, low‑latency function execution on local machines, Kubernetes, or edge environments, offering native Go support, flexible triggers, built‑in observability, and easy deployment steps for streaming, API, and AI inference use cases.
Alibaba Cloud’s Serverless Elasticsearch service, combined with the SREWorks data‑driven operations platform, offers a cloud‑native, real‑time search and analytics engine that integrates metric and log collection, cost management, and health monitoring to enhance scalability, performance, and operational efficiency for enterprise applications.
This article demonstrates how to rapidly create a full‑stack Agentic Retrieval‑Augmented Generation (RAG) application using Alibaba Cloud RDS PostgreSQL‑based Supabase, covering data preparation, vector storage, real‑time communication, authentication, deployment steps, performance optimizations, and code examples with LangChain and large language models.
The article explains how the MCP protocol standardizes AI model interactions with external services, outlines the challenges of deploying MCP servers in enterprises, and demonstrates how Huawei Cloud FunctionGraph's serverless workflow offers a low‑cost, scalable, and secure solution with step‑by‑step deployment guidance.
The article examines Docker's declining dominance as system scale and security demands grow, outlines its limitations, and surveys emerging lightweight runtimes, local development tools, simplified orchestration options, and AI-driven trends shaping the future of containerization.
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.
The article explains how Event‑Driven Architecture (EDA) transforms traditional request‑response systems into decoupled, asynchronous pipelines that boost system resilience, scalability, observability, and agility, and it demonstrates a practical AWS EventBridge image‑processing workflow.
The article explains how Alibaba Cloud Function Compute upgraded its tracing capabilities from Jeager 2.0 to the OpenTelemetry W3C standard, delivering end‑to‑end observability, transparent cold‑start analysis, cross‑environment context propagation, dynamic sampling, and AI‑assisted debugging for serverless workloads.
Serverless architecture shifts server management to cloud providers, offering on‑demand function‑as‑a‑service and backend‑as‑a‑service solutions that enable automatic scaling, cost efficiency, faster development, enhanced security, and versatile use cases across e‑commerce, IoT, mobile apps, and big‑data analytics.
This article deeply examines Tencent Cloud TDMQ RabbitMQ Serverless's distributed rate‑limiting mechanism, covering its necessity, design principles, token‑based throttling architecture, implementation challenges, client‑side error handling, and practical guidelines for planning load and configuring alerts to ensure stable high‑throughput messaging.
