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Redis

A Detailed Explanation of the Detection and Processing of BigKey and HotKey in Redis

This blog introduces BigKey and HotKey in Redis and discusses what leads to HotKeys or BigKeys, how to recognize HotKeys or BigKeys, further, the problem it brings, and ways you can take to handle.

How Can We Defend against Multiple Intrusion Methods on Multiple Platforms When Lemon-Duck Is Continuously Active?

This article offers some insight into protection against botnets and other Internet threats.

Rose Bowl Games Scoreboard Powered by Redis & MySQL - Provisioning Resources with Terraform

This tutorial shows you how to to provision Redis and MySQL resources for a scoreboard using Terraform.

Create Online Game Leaderboard on Redis

In this tutorial, we'll show you how you can create a simple gaming leaderboard with Redis on Alibaba Cloud.

Alibaba Cloud ApsaraDB for Redis: Your Best Bet to Optimize Application Performance at Minimum Cost

In this blog post, we will take a closer look at how ApsaraDB for Redis helps businesses optimize operations and improve performance.

High-Concurrency Practices of Redis: Snap-Up System

This article explains the three main components of the Redis Snap-Up System and practices.

High-Performance Redis on Alibaba

Redis is an open source in-memory database used by companies around the world. In this post, we demonstrate how to run Redis on Alibaba Cloud using th.

ApsaraDB for Redis: In-memory Caching To Applications On The Cloud

ApsaraDB for Redis is a key-value database service that offers in-memory caching and high-speed access to applications hosted on the cloud.

Using Beats to Visualize Redis Monitoring in Alibaba Cloud Elasticsearch

This article provides step by step instructions to install and use Beats plug-in provided by Alibaba Cloud to implement Redis monitoring using Alibaba Cloud Elasticsearch.

Throttling Solutions in Standalone and Distributed Scenarios

This article describes the code and ideas behind several throttling algorithms and summarizes their complexity and applicable scenarios.

System Stability Assurance for Large Scale Flash Sales

This article thoroughly explains the range of Alibaba Cloud products and how they are used during Double 11 and other big sales promotions.

Redis Core Team Welcomes Zhao Zhao from Alibaba Cloud to Run the Redis Project

This article mainly introduces Zhao Zhao, a member of Alibaba Cloud since 2015 that was recently invited to join the Redis Core Team to run the Redis project.

How to Use "Data Flashback" on ApsaraDB for Redis to Recover Data by Time Point

This article explains how to use "data flashback" on ApsaraDB for Redis to recover data at a specified time point.

A Small Victory – Acceleration of BITFIELD Commands for ApsaraDB for Redis

This article illustrates how Alibaba Cloud accelerated the BITFIELD commands for ApsaraDB for Redis to improve the user experience and continuously satisfy customers.

FASTER: How Does Microsoft KV Store Achieve 160 Million OPS?

This article explains how FASTER, a KV store developed by Microsoft, achieves 160 million OPS and further compares it with other solutions in the same space.

Recommendation System: Matching Algorithms and Architecture

In this article, Alibaba technical expert Aohai introduces the matching module in a recommender system and discusses the architecture.

Four Major Technologies Behind the Microservices Architecture

Read this article to learn about the four major technologies behind the microservices architecture.

Who Said All Redis Data Must Be Stored in Memory? Explore Redis Hybrid Storage Instances

This article explores how the Redis hybrid storage instance breaks the convention that all Redis data must be stored in the memory.

Introducing ApsaraDB for Redis Hybrid Storage Instances

This article outlines Alibaba Cloud's proprietary database system solution, ApsaraDB for Redis hybrid storage instances.

Optimizing Network Deployment for Tolerance and Latency Sensitivity Services

This blog discusses occasional time-out encounters during Redis cluster query and introduces the best practices for improving service reliability at the network layer.