#Memcached

How Criteo handled 290M QPS and Cut Hardware by 78% | Aerospike Discover how Criteo scaled to 290 M queries-per-second, swapped Couchbase + Memcached for Aerospike, cut servers 78%, and kept sub-ms latency.

5 months ago

When #AdTech leader #Criteo replaced its #Couchbase + #Memcached stack by leveraging #Aerospike’s Hybrid Memory Architecture, they gained performance, reduced complexity and energy use, and scaled sustainably.

Learn what’s possible with Aerospike.

https://monkeylink.co/7723c7

#SustainableIT

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How Criteo handled 290M QPS and Cut Hardware by 78% | Aerospike Discover how Criteo scaled to 290 M queries-per-second, swapped Couchbase + Memcached for Aerospike, cut servers 78%, and kept sub-ms latency.

7 months ago

When #Criteo replaced its #Couchbase + #Memcached stack with #Aerospike’s Hybrid Memory Architecture, they gained performance with reduced complexity and energy use. If building real-time systems with massive QPS and strict SLAs, learn what’s possible with Aerospike. https://monkeylink.co/7723c7

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Marat ꙮ Shakirov

@minbash.bsky.social

7 months ago

there is no #memcached #nodejs client , which supports all of this at the same time:

* native promises
* TLS
* multihost
* auto-discovery
* consistent hashing

you have to choose your poison between 10 year old library, 3 year old library and librart whch has most of it, but no one uses.

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7 months ago

Awakari App

tidwall/pogocache tidwall/pogocache New project from Josh Baker, author of the excellent tg C geospatial libarry ( covered previously ) and various other interesting projects : Pogocache is fast ca...

#c #caching #http #memcached #postgresql #redis

Origin | Interest | Match

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7 months ago

Awakari App

tidwall/pogocache tidwall/pogocache New project from Josh Baker, author of the excellent tg C geospatial libarry (covered previously) and various other interesting projects: Pogocache is fast cachi...

#c #caching #http #memcached #postgresql #redis

Origin | Interest | Match

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Nativo Serves 1.4 T Monthly Bid Requests with Aerospike | Aerospike Discover how Nativo replaced MongoDB and Memcached with Aerospike to achieve sub-ms bidding, 1.4 trillion requests a month, and zero downtime for 10+ years.

8 months ago

#AdTech leader #Nativo replaced both their #MongoDB and #Memcached systems with #Aerospike, simplifying their architecture while improving performance, resiliency, and #scalability.

Customer success story here: https://monkeylink.co/6a0284

#CustomerSuccess #Database

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How Criteo handled 290M QPS and Cut Hardware by 78% | Aerospike Discover how Criteo scaled to 290 M queries-per-second, swapped Couchbase + Memcached for Aerospike, cut servers 78%, and kept sub-ms latency.

8 months ago

When #Criteo replaced its #Couchbase + #Memcached stack with #Aerospike’s Hybrid Memory Architecture, they gained performance, reduced energy use, and scaled sustainably.

Learn what’s possible with the right architecture and a high-performance #database: https://monkeylink.co/7723c7

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Rad Web Hosting

@radwebhosting.com

9 months ago

Memcached vs Redis Cache

New Post: Memcached vs Redis Cache
#cache #memcached #opensource #redis #selfhosting #selfhosted #Guides #WebHosting

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Naoya

@naoyacreates.bsky.social

9 months ago

Memcached vs. Azure Redis: Cost Savings & Performance | GameFi News Cut your cloud caching costs by 95%! Learn how we replaced Azure Redis with lightweight Memcached for huge savings.

AIMindUpdate News!
🚀⚡️💰 Over $5,000 in Azure Redis costs eliminated! See how we slashed our caching bill using Memcached and achieved significant savings. #AzureRedis #Memcached #CloudCost

Click here↓↓↓
aimindupdate.com/2025/05/20/f...

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OpenSource

@opensource.activitypub.awakari.com.ap.brid.gy

9 months ago

This article provides a detailed comparison of Memcached vs Redis cache. Table of Contents Toggle * What is Memcached? * 🔍 Key Features * ⚙️ How Memcached Works * 🧠 Common Use Cases * 🔐 Security Note * ✅ Summary * What is Redis Cache? * 🔍 Key Features * ⚙️ How Redis Cache Works * 🧠 Common Use Cases * 🔐 Security Features * ✅ Summary * Memcached vs Redis Cache * 🔍 Overview * 🧠 Use Case Summary * 🧩 Data Structure Support * 🏗️ Architecture * 🛠️ Performance and Scalability * 🔐 Security and Access Control * 🧪 Tooling & Ecosystem * ⚖️ Pros and Cons * Memcached * Redis * 🧭 When to Use Each * ✅ Final Verdict ### What is Memcached? **Memcached** is a **high-performance, distributed memory caching system** designed to speed up dynamic web applications by reducing the database load. #### 🔍 Key Features * **In-memory storage** : Stores data in RAM, making it extremely fast. * **Key-value store** : Caches data using a simple string-based key-value model. * **Volatile storage** : Data is not persistent and is lost when the server restarts. * **Multithreaded** : Supports concurrent operations using multiple CPU cores. * **Distributed architecture** : Can be deployed across many servers (horizontal scaling). * **Lightweight** : Minimal dependencies and simple to deploy. #### ⚙️ How Memcached Works Memcached temporarily stores frequently accessed data, like: * Database query results * API responses * Session data * HTML page fragments When your application requests this data, Memcached serves it from memory rather than querying a slower database or backend system, significantly speeding up performance. #### 🧠 Common Use Cases * **Caching database queries** to reduce load and latency * **Storing session information** in scalable web applications * **Caching rendered pages or page fragments** in content-heavy sites * **Reducing API request frequency** by storing results temporarily #### 🔐 Security Note Memcached **does not include built-in authentication or encryption** , so it’s critical to run it behind a firewall or on a trusted internal network. See also How to Install Docker Engine on Ubuntu VPS Server #### ✅ Summary > **Memcached is a simple, fast, and efficient solution** for temporary caching needs in high-traffic environments. It’s best used for **short-lived, non-critical data** where performance is a higher priority than persistence or advanced features. ### What is Redis Cache? **Redis Cache** is a **high-performance, in-memory data store** that is commonly used as a **cache, database, and message broker**. It supports a wide variety of data structures and provides features beyond simple key-value storage, making it one of the most powerful caching solutions available. #### 🔍 Key Features * **In-memory storage** : All data is stored in RAM, enabling sub-millisecond response times. * **Persistent option** : Unlike many caches, Redis can optionally save data to disk using **RDB** (snapshotting) or **AOF** (append-only file). * **Rich data types** : * Strings * Lists * Sets * Hashes * Sorted sets * Streams * Bitmaps, HyperLogLogs, and more * **Advanced capabilities** : * **Pub/Sub messaging** * **Atomic operations** * **Lua scripting** * **Geospatial indexing** * **Replication and High Availability** : Supports master-replica replication, Redis Sentinel, and Redis Cluster for fault tolerance. #### ⚙️ How Redis Cache Works Redis acts as a **memory-based cache layer** that sits between the application and a slower backend, like a database. It stores frequently accessed or computed data so that future requests can be served much faster. Typical use: 1. Application checks Redis for a key. 2. If the key exists (“cache hit”), data is returned immediately. 3. If not (“cache miss”), data is fetched from the database and stored in Redis for future access. #### 🧠 Common Use Cases * Caching database queries or API responses * Session management in web applications * Leaderboards and counters * Queues and task scheduling (via lists or streams) * Real-time analytics * Rate limiting * Chat and pub/sub systems See also How to Install Pixelfed on Ubuntu VPS (8 Step Quick-Start Guide) #### 🔐 Security Features * **Authentication** with passwords or access control lists (ACL) * **TLS encryption** for secure connections * **Command renaming or disabling** to harden the instance #### ✅ Summary > **Redis Cache is a feature-rich, fast, and flexible caching system** that goes far beyond simple key-value storage. It’s ideal for modern applications that need **speed, structure, and reliability**. ## Memcached vs Redis Cache Here’s a **detailed comparison of Memcached vs Redis cache** , two of the most widely used in-memory data stores, often used for caching and real-time analytics: **SEE ALSO:cPanel Shared Hosting Server Specs** ### 🔍 Overview Feature | **Memcached** | **Redis** ---|---|--- **Developer** | Danga Interactive | Salvatore Sanfilippo (antirez) **Initial Release** | 2003 | 2009 **Written In** | C | C **License** | BSD | BSD **Type** | In-memory key-value store | In-memory key-value store with advanced data structures ### 🧠 Use Case Summary Use Case | Memcached | Redis ---|---|--- Simple key-value caching | ✅ Ideal | ✅ Excellent Complex data structures (lists, sets, hashes) | ❌ Not supported | ✅ Natively supported Pub/Sub messaging | ❌ No support | ✅ Supported Persistent storage | ❌ Memory only | ✅ Optional RDB or AOF persistence Atomic operations | ❌ Limited | ✅ Extensive support Leaderboards, queues, real-time analytics | ❌ Not suitable | ✅ Excellent fit Expiry and TTL | ✅ Supported | ✅ Supported with precision ### 🧩 Data Structure Support Data Structure | Memcached | Redis ---|---|--- Strings | ✅ | ✅ Lists | ❌ | ✅ Sets | ❌ | ✅ Hashes | ❌ | ✅ Sorted Sets | ❌ | ✅ Bitmaps, HyperLogLogs, Streams | ❌ | ✅ Redis offers far more sophisticated data handling capabilities out of the box. ### 🏗️ Architecture Aspect | Memcached | Redis ---|---|--- **Multithreaded** | ✅ Yes | ❌ No (single-threaded with I/O multiplexing) **Memory Efficiency** | ✅ Slightly more efficient for simple key-value | ✅ Efficient but uses more memory for complex structures **Cluster Support** | ✅ Client-side sharding (manual) | ✅ Redis Cluster (native) **Persistence** | ❌ Volatile only | ✅ RDB snapshots, AOF logs **Replication** | ❌ No native support | ✅ Master-slave replication **High Availability** | ❌ External solutions required | ✅ Redis Sentinel / Redis Cluster See also cPanel VPS vs Webuzo VPS: Pros, Cons, and Key Differences ### 🛠️ Performance and Scalability Aspect | Memcached | Redis ---|---|--- **Latency** | Ultra-low | Ultra-low **Throughput** | Extremely high for basic caching | High, slightly lower due to rich features **Horizontal Scaling** | ✅ Easily sharded | ✅ Redis Cluster or manual sharding **Vertical Scaling** | ✅ | ✅ ### 🔐 Security and Access Control Feature | Memcached | Redis ---|---|--- **Authentication** | ❌ Not natively supported (use SASL patch or firewall) | ✅ Password-based (AUTH), ACLs **Encryption** | ❌ Requires external TLS proxy | ✅ TLS support since v6.0 **Access Control** | ❌ None | ✅ Role-based ACLs (v6.0+) ### 🧪 Tooling & Ecosystem Feature | Memcached | Redis ---|---|--- **Client Libraries** | ✅ Available in most languages | ✅ Available in most languages **Monitoring Tools** | Basic stats | Rich metrics with Redis CLI, RedisInsight **Community Support** | Active, but limited roadmap | Large, vibrant community with frequent updates **Cloud Services** | AWS ElastiCache (Memcached mode) | AWS ElastiCache, Azure Redis, Redis Enterprise ### ⚖️ Pros and Cons #### Memcached **Pros:** * Simpler architecture = faster in some use cases * Multithreaded = better CPU utilization * Lightweight with very low overhead **Cons:** * Only supports strings * No persistence, replication, or native HA * No built-in authentication #### Redis **Pros:** * Rich data structures and commands * Persistence and replication support * High availability (Sentinel, Cluster) * More secure (AUTH, ACL, TLS) * Pub/Sub, Lua scripting, geospatial support **Cons:** * Single-threaded core (though very fast) * Slightly more memory usage * More complex to configure and manage ### 🧭 When to Use Each Scenario | Recommendation ---|--- **Simple cache for session data or small key-value lookups** | **Memcached** **Need for data durability and persistence** | **Redis** **Need to handle complex data types (queues, counters, sets)** | **Redis** **High concurrency with minimal logic and max throughput** | **Memcached** **Publish/subscribe or real-time leaderboard** | **Redis** ### ✅ Final Verdict **Redis is more versatile and powerful** , making it the better choice for most modern applications, especially when persistence, advanced data types, or pub/sub features are needed. **Memcached is ideal for extremely lightweight, fast, and simple caching scenarios** with high throughput and where multithreaded performance is critical. __________________ Share this:

Memcached vs Redis Cache This article provides a detailed comparison of Memcached vs Redis cache....

blog.radwebhosting.com/memcached-vs-redis-cache...

#Guides #Web #Hosting #cache #memcached #open #source #redis #self-hosting #selfhosted

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InfiniTech Life ｜無限テクノロジーと生きる未来

@cryptostart.bsky.social

9 months ago

Azure RedisからMemcachedへ移行し、コスト削減！ | GameFi News Azure RedisのコストをMemcachedで95%削減！App Service、VNet対応のキャッシュ戦略を解説。

🚀⚡️💰 AIクリエーターの道ニュース🤖 Azure RedisからMemcachedへ移行し、月5000ドル以上のコスト削減に成功！VNet対応で、App Serviceのキャッシュ戦略を解説。 #Azure #Memcached #CostOptimization

詳しくはこちら↓↓↓
gamefi.co.jp/2025/05/20/h...

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David F. Carr

@davidfcarr.com

10 months ago

I'm trying to improve performance and seem to wind up crashing everything when I do. #WordPress #memcached #siteground

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InfoQ

@infoq.com

1 year ago

Building a Global Caching System at Netflix: a Deep Dive to Global Replication Netflix's EVCache system handles 400M ops/second across 22,000 servers, managing 14.3 PB of data. This infrastructure ensures global availability and resilience through intelligent data routing and fl...

Discover how #Netflix uses #EVCache to master the complexities of global replication.

Learn about the architecture, design principles, and innovative strategies behind their scalable success: bit.ly/4ii6wNZ

#SoftwareArchitecture #Caching #Memcached #AWS #Performance #InfoQ #ICYMI

4 0 0 0

1 year ago

Нужен ли нам сейчас кеш-слой перед СУБД Уже лет 20 суще...

habr.com/ru/companies/oleg-bunin/...

#субд #кэширование #postgres #mysql #valkey #redis #memcached #rps #базы #данных #MyDB

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