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Tencent Cloud Middleware
Tencent Cloud Middleware
Mar 17, 2025 · Backend Development

Mastering Microservice Rate Limiting: Strategies, Algorithms, and TSF Implementation

This article explains why rate limiting is essential for high‑traffic microservices, outlines the key design considerations, compares major algorithms such as fixed‑window, sliding‑window, leaky‑bucket and token‑bucket, and details how Tencent Service Framework (TSF), Polaris, and TSF‑Consul implement distributed rate limiting with practical configuration examples and post‑limit handling strategies.

PolarisToken Bucketrate limiting
0 likes · 23 min read
Mastering Microservice Rate Limiting: Strategies, Algorithms, and TSF Implementation
JavaEdge
JavaEdge
Dec 23, 2024 · Backend Development

How Meta Achieves Near‑Perfect Cache Consistency: Lessons from Polaris

This article explains why cache consistency is critical for Meta, how the company measures and monitors consistency, the design of the Polaris system that detects and resolves stale cache entries, and provides a concrete Python‑style example illustrating the challenges and solutions.

ConsistencyDistributed SystemsMeta
0 likes · 14 min read
How Meta Achieves Near‑Perfect Cache Consistency: Lessons from Polaris
ITPUB
ITPUB
Apr 22, 2024 · Backend Development

How Meta Achieves Near‑Perfect Cache Consistency: Lessons from Polaris

This article explains Meta's approach to cache invalidation and consistency, detailing why ultra‑high consistency matters, how their Polaris monitoring system detects and resolves inconsistencies, and provides a simplified Python example that illustrates the underlying mechanisms and challenges.

BackendConsistencyDistributed Systems
0 likes · 12 min read
How Meta Achieves Near‑Perfect Cache Consistency: Lessons from Polaris
dbaplus Community
dbaplus Community
Apr 14, 2024 · Backend Development

How Meta Reached 99.99999999% Cache Consistency and What You Can Learn

This article explains Meta's approach to cache invalidation and consistency, why ultra‑high consistency matters for user experience, the monitoring infrastructure they built, the Polaris system that detects and repairs inconsistencies, and provides a concrete Python‑style code example illustrating the problem and solution.

BackendCacheConsistency
0 likes · 13 min read
How Meta Reached 99.99999999% Cache Consistency and What You Can Learn
Selected Java Interview Questions
Selected Java Interview Questions
Sep 25, 2023 · Backend Development

Quick Start Guide to Spring Cloud Tencent with Polaris Service Discovery

This guide introduces Spring Cloud Tencent, a one‑stop microservice solution that integrates Spring Cloud with Tencent's Polaris service discovery, and provides step‑by‑step instructions—including building the project, adding dependencies, configuring application.yml, and running the application—to quickly set up a functional Spring Cloud Tencent service.

Backend DevelopmentMicroservicesPolaris
0 likes · 8 min read
Quick Start Guide to Spring Cloud Tencent with Polaris Service Discovery
Alibaba Cloud Native
Alibaba Cloud Native
Dec 8, 2022 · Cloud Native

How to Seamlessly Integrate Polaris Service Governance with dubbogo Go RPC

This guide explains why and how to combine Tencent's open‑source Polaris service‑governance platform with the high‑performance dubbogo Go RPC framework, covering architecture, registration, discovery, dynamic routing and rate‑limiting, complete with configuration snippets and practical code examples.

GoMicroservicesPolaris
0 likes · 11 min read
How to Seamlessly Integrate Polaris Service Governance with dubbogo Go RPC
Selected Java Interview Questions
Selected Java Interview Questions
Nov 8, 2022 · Backend Development

Getting Started with Spring Cloud Tencent: Service Registration, Configuration, Rate Limiting, Circuit Breaking, and Metadata Transfer

This guide walks through installing and using Spring Cloud Tencent with Polaris, covering environment setup, Polaris deployment, Spring Boot project configuration, service registration, configuration center integration, rate‑limiting, circuit‑breaker features, and metadata transfer, while highlighting common pitfalls and practical code examples.

Configuration CenterMetadata TransferMicroservices
0 likes · 20 min read
Getting Started with Spring Cloud Tencent: Service Registration, Configuration, Rate Limiting, Circuit Breaking, and Metadata Transfer
Java High-Performance Architecture
Java High-Performance Architecture
Sep 10, 2022 · Cloud Native

Why Spring Cloud Tencent Is the Go-To Cloud‑Native Solution for Java Microservices

The article explains why Spring Cloud remains the dominant Java microservice framework, introduces Tencent’s open‑source Polaris‑based Spring Cloud Tencent as a one‑stop cloud‑native solution, and details its discovery, configuration, routing, rate‑limiting, and circuit‑breaker modules, while outlining future plans and how developers can contribute.

Configuration ManagementMicroservicesPolaris
0 likes · 19 min read
Why Spring Cloud Tencent Is the Go-To Cloud‑Native Solution for Java Microservices
Programmer DD
Programmer DD
Jul 29, 2022 · Backend Development

Master Multi‑Test Environment Routing with Spring Cloud Tencent

This article explains how Spring Cloud Tencent enables multi‑test environment routing by using service instance tagging, traffic staining, and Polaris‑based service routing, providing step‑by‑step guidance for developers to configure plugins, label instances, and apply request‑level tags for efficient microservice testing.

FeatureEnvPolarisSpring Cloud
0 likes · 21 min read
Master Multi‑Test Environment Routing with Spring Cloud Tencent
dbaplus Community
dbaplus Community
Jul 24, 2022 · Fundamentals

Meta’s Secret to Near‑Zero Cache Inconsistency

Meta’s engineering team describes how they raised cache consistency from six‑nines to ten‑nines by defining precise invalidation semantics, building the Polaris observability service, and implementing systematic tracking of cache mutations, offering practical strategies that apply to any distributed cache such as Redis or TAO.

ConsistencyMetaObservability
0 likes · 17 min read
Meta’s Secret to Near‑Zero Cache Inconsistency
Top Architect
Top Architect
Jun 25, 2022 · Cloud Native

Why Spring Cloud Tencent? Architecture Overview and Core Capabilities

This article explains why Spring Cloud Tencent remains a mainstream Java micro‑service solution, introduces its one‑stop Polaris suite—including service registration & discovery, configuration center, routing, rate limiting and circuit breaking—and outlines future plans and community involvement.

PolarisSpring Cloudservice routing
0 likes · 19 min read
Why Spring Cloud Tencent? Architecture Overview and Core Capabilities
Java Architecture Diary
Java Architecture Diary
Jun 22, 2022 · Cloud Native

Spring Cloud Tencent Guide: Discovery, Config, Rate Limiting & Circuit Breaking

This article introduces Spring Cloud Tencent, Tencent’s open‑source microservice solution built on Polaris, and walks through installing Polaris, adding service discovery, configuration management, rate limiting, routing, and circuit‑breaker features with detailed Maven dependencies and YAML configurations, plus code examples for each step.

PolarisSpring Cloudcircuit breaker
0 likes · 10 min read
Spring Cloud Tencent Guide: Discovery, Config, Rate Limiting & Circuit Breaking
Tencent Cloud Developer
Tencent Cloud Developer
Feb 19, 2021 · Cloud Native

Service Mesh: The TCP of the Microservice Era – Concepts, Evolution, and Practice

Service mesh, likened to TCP for microservices, abstracts and standardizes service‑to‑service networking—handling registration, discovery, load balancing, resilience, security, and observability—so business teams can focus on code, with Tencent’s Polaris bridging legacy L5 and Istio demonstrating practical deployment on TKE.

IstioPolarisservice discovery
0 likes · 23 min read
Service Mesh: The TCP of the Microservice Era – Concepts, Evolution, and Practice