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Tencent Cloud Middleware

Official account of Tencent Cloud Middleware. Focuses on microservices, messaging middleware and other cloud‑native technology trends, publishing product updates, case studies, and technical insights. Regularly hosts tech salons to share effective solutions.

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Latest from Tencent Cloud Middleware

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Tencent Cloud Middleware

Aug 19, 2026 · Operations

How AI Gateway Makes Large-Model Calls Visible, Traceable, and Auditable

Enterprises deploying large-model APIs often struggle to see token usage, latency, and errors; the AI Gateway embeds metrics, structured logs, and distributed tracing at the gateway layer, providing token-level insights, request-level latency breakdowns, and full-chain auditability without code changes, as demonstrated in a real-world incident.

AI GatewayCloud NativeLLM

0 likes · 17 min read

How AI Gateway Makes Large-Model Calls Visible, Traceable, and Auditable

Tencent Cloud Middleware

Jul 23, 2026 · Backend Development

How TDMQ RocketMQ Lite Topic Keeps Millions of Channels Lightweight (Part 2)

This article dissects TDMQ RocketMQ's Lite Topic, explaining its two‑level topic model, automatic lifecycle, storage reuse, client‑level subscription management with Ready Event Sets, and the exclusive "latest‑connection‑wins" consumption mode that together enable millions of lightweight channels for AI‑native applications.

AI-native applicationsExclusive ConsumptionLite Topic

0 likes · 11 min read

How TDMQ RocketMQ Lite Topic Keeps Millions of Channels Lightweight (Part 2)

Tencent Cloud Middleware

Jul 15, 2026 · Cloud Computing

How AI Gateway Makes Token Costs Visible, Controllable, and Cost‑Effective

A CTO discovers a three‑fold surge in AI model token bills with no clear usage breakdown, prompting a deep dive into Tencent Cloud's AI Gateway, which offers multi‑dimensional quota governance, real‑time cost monitoring, semantic caching, and a unified cost‑management dashboard to make every token expense transparent and controllable.

AI GatewayCloud ComputingQuota Management

0 likes · 11 min read

How AI Gateway Makes Token Costs Visible, Controllable, and Cost‑Effective

Tencent Cloud Middleware

Jul 7, 2026 · Cloud Native

Decoding AI Agent Collaboration: RocketMQ Lite Topic Makes Messaging as Easy as Creating a File

The article analyzes the communication challenges of AI‑native applications—async coordination, per‑session isolation, and millions of independent channels—and shows how RocketMQ Lite Topic solves them with lightweight, auto‑reclaimed topics that guarantee strict ordering, fault‑tolerant streaming, and seamless break‑resume handling.

AI-native applicationsAsynchronous MessagingLite Topic

0 likes · 15 min read

Decoding AI Agent Collaboration: RocketMQ Lite Topic Makes Messaging as Easy as Creating a File

Tencent Cloud Middleware

Jun 17, 2026 · Artificial Intelligence

How AI Gateway’s Intelligent Routing Ensures Stable Large‑Model Production

The article explains how Tencent Cloud’s AI Gateway uses intelligent routing and a three‑layer high‑availability design to distribute traffic, handle model failures, and support multi‑model, multi‑vendor, and compliance‑driven scenarios, ensuring large‑model services remain stable and continuously available in production.

AI GatewayModel FailoverMulti-Model Management

0 likes · 20 min read

How AI Gateway’s Intelligent Routing Ensures Stable Large‑Model Production

Tencent Cloud Middleware

May 20, 2026 · Cloud Native

Zero‑Code Integration of Legacy APIs into the AI Ecosystem with the MCP Gateway

Enterprises with hundreds of RESTful APIs often cannot expose them to AI agents, not because models are weak but because tool integration is cumbersome; the article shows how the MCP Gateway enables zero‑code conversion of existing interfaces, centralizes authentication, logging, and protocol translation, and supports multi‑backend scenarios for seamless AI ecosystem access.

AI integrationBackend IntegrationCloud Native

0 likes · 8 min read

Zero‑Code Integration of Legacy APIs into the AI Ecosystem with the MCP Gateway

Tencent Cloud Middleware

Apr 22, 2026 · Backend Development

How TDMQ Pulsar Scales Million-Message Delayed Queues with Multi-Level Time Wheels

The article analyzes why large‑scale delayed messaging is needed, identifies the bottlenecks of the Apache Pulsar community solution, and explains TDMQ Pulsar's three‑step redesign—hierarchical time wheels, expiration re‑push, and immutable message IDs—that together enable stable million‑message delayed queues with controlled memory and minute‑level hole impact.

Apache PulsarDelayed MessagingTDMQ

0 likes · 8 min read

How TDMQ Pulsar Scales Million-Message Delayed Queues with Multi-Level Time Wheels

Tencent Cloud Middleware

Dec 12, 2025 · Artificial Intelligence

How A2A over MQTT Transforms AI Agent Collaboration

This article explains the challenges of traditional point‑to‑point AI agent communication, introduces the A2A protocol and its limitations, and details how combining A2A with MQTT via Tencent Cloud TDMQ creates a dynamic, loosely‑coupled, and scalable solution with practical SDK examples and real‑world case studies.

A2A protocolAI AgentsDistributed Systems

0 likes · 16 min read

How A2A over MQTT Transforms AI Agent Collaboration

Tencent Cloud Middleware

Dec 9, 2025 · Cloud Native

How Tencent Cloud’s Virtual Queue Enables Seamless Compatibility for RocketMQ 5.x Remoting Clients

The article explains how RocketMQ 5.x’s storage‑compute decoupling and POP consumption model require a new gRPC client, and how Tencent Cloud’s virtual‑queue solution provides full compatibility for legacy Remoting SDKs by abstracting queues and transparently converting consumption modes, eliminating client‑side rebalance and preserving order guarantees.

Cloud NativeCompatibilityRocketMQ

0 likes · 10 min read

How Tencent Cloud’s Virtual Queue Enables Seamless Compatibility for RocketMQ 5.x Remoting Clients

Tencent Cloud Middleware

Aug 1, 2025 · Backend Development

Mastering TDMQ CKafka Production: Configurations, Partitioning, and Reliable Messaging

This guide explains how to efficiently produce messages with TDMQ CKafka, covering topic creation, partition sizing, retry policies, asynchronous sending, key/value handling, batch tuning, sticky partitioning, idempotence, ACK settings, code examples, and strategies to avoid data skew and ensure high‑throughput, low‑latency messaging.

CKafkaIdempotenceKafka

0 likes · 18 min read

Mastering TDMQ CKafka Production: Configurations, Partitioning, and Reliable Messaging