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.
This article explores PolarisMesh’s server-side registration process, detailing how client registration requests are handled, the data flow through apiserver, resource auth filter, service and storage layers, and provides concrete code examples for both Java and Go SDKs, along with MySQL storage schema.
This guide walks through the PolarisMesh polaris-server startup process, detailing configuration loading, bootstrap sequencing, and the initialization of core modules such as apiserver, cache, auth, namespace, service discovery, and config center, with code snippets and structural diagrams.
This article explains what Prometheus is, why TDMQ Pulsar needs Prometheus integration, outlines the two monitoring designs, and provides a detailed, step‑by‑step guide with configuration examples to expose Pulsar metrics for Prometheus collection.
This article explores Apache RocketMQ 5.x’s new cloud‑native capabilities—including the Proxy component, gRPC client, Pop consumption model, timer‑based delayed messages, tiered storage, distributed rate‑limiting, and containerized deployment on Tencent Cloud—while outlining architecture changes, practical usage patterns, and future directions.
This article examines the challenges of Kafka's traditional architecture, explains why local‑state heavy deployments cause operational difficulty and resource waste, and details Tencent Cloud's elastic, storage‑compute‑separated designs—including tiered storage, segment state machines, offset constraints, and performance optimizations—while sharing practical implementation insights and future directions.
This article explains how Apache Pulsar is used within Apache InLong to collect, sort, and reliably deliver massive MySQL binlog incremental data, covering component architecture, job isolation, client and producer management, consumption strategies, common pitfalls, performance tuning, and practical code examples.
This article explains the concept of unitized architecture, its characteristics and types, the performance and reliability challenges it solves for large‑scale microservice systems, and how Tencent Cloud’s TSF platform implements unit routing, gray release, and disaster‑recovery to achieve efficient, cross‑region, high‑availability deployments.
This article explains Apache Pulsar's message redelivery mechanisms—including consumer flow, AckTimeout, NegativeAck, retry queues (RLQ), and dead‑letter queues (DLQ)—and provides concrete code examples for configuring each approach in Java clients.
This article explains how Apache Pulsar's GEO Replication synchronizes subscription state between primary and backup clusters, detailing the challenges of ledger mismatches, the two‑step mapping process for MessageIds, and the mechanisms that ensure seamless failover without duplicate consumption.
This article details a real‑world investigation of severe latency in CKafka cross‑region data synchronization, tracing the issue from high message backlog through network bandwidth tests, kernel parameter adjustments, and finally uncovering a TCP window‑scaling failure caused by SYN‑cookie protection and missing timestamp options.
