Other ElastiCache tutorials and videos - Amazon ElastiCache
DAT204—Building Scalable Applications on AWS NoSQL Services (re:Invent 2015) In this session, we discuss the benefits of NoSQL databases and take a tour of the main NoSQL services offered by AWS—Amazon DynamoDB and Amazon ElastiCache. Then, we hear from two leading customers, Expedia and Mapbox, about their use cases and architectural challenges, and how they addressed them using AWS NoSQL service
Boosting MySQL database performance with Amazon ElastiCache for Redis
Relational databases are a cornerstone of most applications. When it comes to scalability and low latency though, there’s only so much you can do to improve performance. Even if you add replicas to scale reads, there’s a physical limit imposed by disk based storage. The most effective strategy for coping with that limit is to supplement disk-based databases with in-memory caching. The ElastiCache
Performance at Scale with Amazon ElastiCache
Performance at Scale with Amazon ElastiCache July 2019 Notices Customers are responsible for making their own independent assessment of the information in this document. This document: (a) is for informational purposes only, (b) represents current AWS product offerings and practices, which are subject to change without notice, and (c) does not create any commitments or assurances from AWS and its
アルゴリズムã¨ãƒ‡ãƒ¼ã‚¿æ§‹é€ ã‹ã‚‰ç†è§£ã™ã‚‹Redis / Learn Redis from Internal Algorithms and Data Structures
2019å¹´æ–°å’ç ”ä¿®ã§ä½¿ã£ãŸè³‡æ–™ã§ã™ã€‚ 内部実装ã®é›°å›²æ°—ã‚’æ„Ÿã˜ã¨ã‚ŠãªãŒã‚‰ã€Redisã«ã¤ã„ã¦ç†è§£ã‚’æ·±ã‚ã‚‹ç ”ä¿®ã‚’è¡Œã„ã¾ã—ãŸã€‚ 以下ã®å†…容ã«ã¤ã„ã¦å¦ã³ã¾ã—ãŸã€‚ 1. Redisã®æ¦‚è¦ 2. 社内ã§ã®åˆ©ç”¨æ–¹æ³• 3. æ£ã—ã„ç”¨æ³•ç”¨é‡ Redis ã«ã¤ã„ã¦ã®å‰æ知è˜ã¯å¿…è¦ã¨ã—ã¦ã„ã¾ã›ã‚“。…
Amazon ElastiCache for Redis 㧠Redis 5.0.3 ã®ã‚µãƒãƒ¼ãƒˆã‚’è¿½åŠ ã€Redis コマンドåã®å¤‰æ›´ãŒå¯èƒ½ã«
2019 å¹´ 2 月 28 æ—¥: Amazon ElastiCache for Redis ㌠Redis 5.0.3 ã®ã‚µãƒãƒ¼ãƒˆã‚’è¿½åŠ Redis 5.0.3 ã¯ã€ã„ãã¤ã‹ã®ãƒã‚°ä¿®æ£ã¨ãƒžã‚¤ãƒŠãƒ¼ãªæ©Ÿèƒ½å¼·åŒ–ã‚’å«ã‚€ãƒ¡ãƒ³ãƒ†ãƒŠãƒ³ã‚¹ãƒªãƒªãƒ¼ã‚¹ã§ã™ã€‚ ã“ã‚Œã«ã‚ˆã‚Šã€Redis を最新ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã§ç¶æŒã™ã‚‹ã“ã¨ãŒã§ãã€2018 å¹´ 11 月㮠Redis 5.0 on ElastiCache ã®ãƒªãƒªãƒ¼ã‚¹ã¨ã¨ã‚‚ã«åˆ©ç”¨å¯èƒ½ã«ãªã£ãŸ Redis ストリームãªã©ã®æœ€è¿‘å°Žå…¥ã•ã‚ŒãŸæ©Ÿèƒ½ã‚’利用ã™ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚ Redis 5.0.3 ã®å°Žå…¥ã«ã‚ˆã‚Šã€Redis コマンドåã®å¤‰æ›´ãŒã‚µãƒãƒ¼ãƒˆã•ã‚Œã‚‹ã‚ˆã†ã«ãªã‚Šã¾ã—ãŸã€‚rename-commands ã¨ã„ã†æ–°ã—ã„パラメータを利用ã™ã‚‹ã“ã¨ã«ã‚ˆã£ã¦ã‚³ãƒžãƒ³ãƒ‰åをユーザー指定ã®åå‰ã«å¤‰æ›´ã§ãã€æ½œåœ¨çš„ã«ç…©ã‚ã—ã„コマンドやコストã®ã‹ã‹ã‚‹ã‚³ãƒžãƒ³ãƒ‰ã‚’誤ã£ã¦ä½¿ç”¨ã™ã‚‹ã“ã¨ã‚’防æ¢ã§ãã¾ã™ã€‚Amazon
Amazon ElastiCache Deep Dive: インメモリデータストアã®ãƒ‡ã‚¶ã‚¤ãƒ³ãƒ‘ターン #reinvent ｜ DevelopersIO
[レãƒãƒ¼ãƒˆ] Amazon ElastiCache Deep Dive: インメモリデータストアã®ãƒ‡ã‚¶ã‚¤ãƒ³ãƒ‘ターン #reinvent ã¯ã˜ã‚ã« ç¦å²¡ã®yoshihitohã§ã™ã€‚re:Invent 2018ã®ã‚»ãƒƒã‚·ãƒ§ãƒ³ã€Œ[REPEAT 1] ElastiCache Deep Dive: Design Patterns for In-Memory Data Storesã€ã«ã¤ã„ã¦ãƒ¬ãƒãƒ¼ãƒˆã—ã¾ã™ã€‚ ã‚»ãƒƒã‚·ãƒ§ãƒ³æƒ…å ± セッションå DAT302 - [REPEAT 1] ElastiCache Deep Dive: Design Patterns for In-Memory Data Stores スピーカー Michael Labib - Principal Solutions Architect, AWS æ¦‚è¦ åŽŸæ–‡ã®å¼•ç”¨ã§ã™ã€‚ In this session, we provide a be
Amazon ElastiCache for Redis ã¯ã€Redis ã®ãƒ¯ãƒ¼ã‚¯ãƒãƒ¼ãƒ‰ã¸ã®ã‚ˆã‚Šè‰¯ã„å¯è¦–性をé”æˆã™ã‚‹ãŸã‚ã«æ–°ã—ã„ CPU 使用状æ³ãƒ¡ãƒˆãƒªãƒƒã‚¯ã‚¹ã‚’å°Žå…¥ã—ã¾ã™
Amazon ElastiCache for Redis ã¯ã€æœ¬æ—¥ã€æ–°ã—ã„メトリックス EngineCPUUtilization ãŒä½¿ç”¨ã§ãるよã†ã“ã¨ã‚’発表ã—ã¾ã—ãŸã€‚ã“ã®ãƒ¡ãƒˆãƒªãƒƒã‚¯ã‚¹ã¯ã€Redis プãƒã‚»ã‚¹ CPU ã®ä½¿ç”¨çŠ¶æ³ã«ã‚¢ã‚¯ã‚»ã‚¹ã—ã¦ã€Redis ワークãƒãƒ¼ãƒ‰ã®ã‚ˆã‚Šæ£ã—ã„æƒ…å ±ã‚’å¾—ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚Redis ã¯å˜ä¸€ã‚¹ãƒ¬ãƒƒãƒ‰ã§ã‚ã‚Šã€å¸¸ã« 1 ã¤ã® CPU コアã®ã¿ã‚’使用ã™ã‚‹ãŸã‚ã€ã“ã®æ–°ã—ã„メトリックス㯠Redis プãƒã‚»ã‚¹è‡ªä½“ã®ãƒãƒ¼ãƒ‰ã«ã‚ˆã‚Šç²¾åº¦ã®é«˜ã„å¯è¦–性を与ãˆã¾ã™ã€‚ æ–°ã—ã„メトリックスã¯ä»¥å‰å˜åœ¨ã—㟠CPUUtilization メトリックスã«åŠ ãˆã‚‰ã‚Œã€ãã®ä»–ã®ã‚ªãƒšãƒ¬ãƒ¼ãƒ†ã‚£ãƒ³ã‚°ã‚·ã‚¹ãƒ†ãƒ や管ç†ãƒ—ãƒã‚»ã‚¹ã‚’å«ã‚€ã‚µãƒ¼ãƒãƒ¼ã‚¤ãƒ³ã‚¹ã‚¿ãƒ³ã‚¹ã® CPU ã®ä½¿ç”¨çŠ¶æ³ã®å…¨ä½“ã‚’ã¾ã¨ã‚ã¦ç¤ºã—ã¾ã™ã€‚æ–°ã—ã„ EngineCPUUtilization ã¨ä»¥å‰ã® CPUUtilization メトリックスã®ä¸¡æ–¹ã‚’ã¾
Key eviction
Overview of Redis key eviction policies (LRU, LFU, etc.) Redis is commonly used as a cache to speed up read accesses to a slower server or database. Since cache entries are copies of persistently-stored data, it is usually safe to evict them when the cache runs out of memory (they can be cached again in the future if necessary). Redis lets you specify an eviction policy to evict keys automatically
How fast is Redis? – Redis
Use the redis-benchmark utility on a Redis server How fast is Redis? Redis includes the redis-benchmark utility that simulates running commands done by N clients at the same time sending M total queries (it is similar to the Apache's ab utility). Below you'll find the full output of a benchmark executed against a Linux box. The following options are supported: Usage: redis-benchmark [-h <host>] [-
redisã¨memcachedã®ãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯ã‚’memtier-benchmarkã§å–ã‚‹ - ãµã‚ã£ã¨ã—ãŸã‚„ã¤
ã“ã‚Œã¯ä½• redisã¨memcachedã®ãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯ã‚’ memtier-benchmark ã¨ã„ã†ãƒ„ールã§å–ã£ãŸã€‚ ã–ã£ãã‚Šã¾ã¨ã‚ã¦ãŠã。 github.com memtier-benchmark 㨠redis-benchmark ã®æ¯”較 主ã«memtier-benchmarkã®ãƒ¡ãƒªãƒƒãƒˆã€‚redis-benchmarkã«ã§ããªã„ã“ã¨ã€‚ redis, memcache ã®ä¸¡æ–¹ã®ãƒ—ãƒãƒˆã‚³ãƒ«ã‚’喋れる（redis-benchã¯redisã®ã¿ï¼‰ SET/GETã®é‡ã¿ä»˜ã‘ãŒã§ãる（redis-benchã¯ãã‚Œãžã‚Œåˆ¥ã«å…¨åŠ›ã§æŠ•ã’る） keyã¨valueサイズを変ãˆã‚‰ã‚Œã¦ï¼ˆredis-benchã¯keyサイズを変ãˆã‚‹ã®ãŒå¤§å¤‰ã€‚valueサイズã¯ã©ã¡ã‚‰ã‚‚オプションã§å¤‰ãˆã‚‰ã‚Œã‚‹ã€‚） memtier-benchmark ã®ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ« 概ãREADMEã©ãŠã‚Šã«ã§ããŸã€‚ インストールã—ãŸlibevent-2.
Redis ã®éšœå®³ã‚’想定ã—ãŸé¿é›£è¨“ç·´ã‚’è¡Œã„ã¾ã—㟠- Pepabo Tech Portal
ã“ã‚“ã«ã¡ã¯ã€EC 事æ¥éƒ¨ã®ãƒ•ãƒãƒ³ãƒˆã‚¨ãƒ³ãƒ‰ãƒ»ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã®ãŠã„ã¡ã‚ƒã‚“（@inouetakuya）ã§ã™ã€‚先日ã€ç¤¾å†…㧠Redis ã®éšœå®³ã‚’想定ã—ãŸé¿é›£è¨“ç·´ã‚’è¡Œã£ãŸã®ã§ç´¹ä»‹ã—ã¾ã™ã€‚ 背景 カラーミーショップ ã§ã¯ã€ä»¥å‰ã¯ Redis を利用ã—ã¦ã„ã¦ã„ã¾ã—ãŸãŒã€ã“ã“一年ã®é–“ã«ç”¨é€”ãŒå¤‰ã‚ã£ã¦ãã¾ã—ãŸã€‚ã¤ã¾ã‚Šã€ä»¥å‰ã¯ã‚³ãƒ³ãƒ†ãƒ³ãƒ„ã®ã‚ャッシュやセッションã®ä¿å˜å…ˆã ã£ãŸã‚‚ã®ãŒã€ã„ã¾ã§ã¯éžåŒæœŸå‡¦ç†ã®ãŸã‚ã®ã‚ューã¨ã—ã¦ä½¿ã‚れるよã†ã«ãªã‚Šã€ã‹ã¤ãã®å‡¦ç†ã«ã¯æ±ºæ¸ˆã«é–¢ã‚ã‚‹ã‚‚ã®ã‚‚å«ã¾ã‚Œã¦ã„ã¾ã™ã€‚ ã¤ã¾ã‚Š Redis ã«ãƒ€ã‚¦ãƒ³ã‚¿ã‚¤ãƒ ãŒç™ºç”Ÿã™ã‚Œã°ã€ãã‚ŒãŒãã®ã¾ã¾ãƒ“ジãƒã‚¹é¢ã§ã®ãƒ€ãƒ¡ãƒ¼ã‚¸ã«ç›´çµã—ã¾ã™ã€‚ãã“㧠Redis ã®è‡ªå‹•ãƒ•ã‚§ã‚¤ãƒ«ã‚ªãƒ¼ãƒãƒ¼ã‚’実ç¾ã™ã‚‹ãŸã‚ã€ã‚¤ãƒ³ãƒ•ãƒ©ãƒãƒ¼ãƒ ã¨ã¨ã‚‚ã« Redis Sentinel ã®å°Žå…¥ã‚’進ã‚ã¦ãã¾ã—ãŸã€‚ 解決ã—ãŸã„課題 Redis Sentinel を扱ã†ã®ã¯ã¯ã˜ã‚ã¦ã ã£ãŸã®ã§ã€å½“åˆã¯ã€Œæœ¬å½“ã«è‡ªå‹•
Redisサーãƒã®CPUè² è·å¯¾ç–パターン - ゆã†ã†ãブãƒã‚°
Redisã¯å¤šå½©ãªãƒ‡ãƒ¼ã‚¿æ§‹é€ ã‚’ã‚‚ã¤1インメモリDBã§ã‚ã‚Šã€æ˜¨ä»Šã®Webアプリケーションã®ãƒ‡ãƒ¼ã‚¿ã‚¹ãƒˆã‚¢ã®ä¸€ã¤ã¨ã—ã¦ã€åºƒã利用ã•ã‚Œã¦ã„る。 ã—ã‹ã—ã€ä¸€æ–¹ã§ã€æ€§èƒ½æ”¹å–„ã®ãŸã‚ã®æ‰‹æ³•ã‚’体系的ã«ã¾ã¨ã‚ãŸè³‡æ–™ãŒè¦‹å½“ãŸã‚‰ãªã„ã¨æ„Ÿã˜ã¦ã„ãŸã€‚ 実際ã€æœ€åˆã«CPUè² è·ãŒå•é¡Œã«ãªã£ãŸã¨ãã«ã©ã†ã—ãŸã‚‚ã®ã‹ã¨æ‚©ã¿ã€èª¿æŸ»ã¨è©¦è¡ŒéŒ¯èª¤ã‚’ç¹°ã‚Šè¿”ã—ãŸã€‚ ãã“ã§ã€ã“ã®è¨˜äº‹ã§ã¯ã€è‡ªåˆ†ã®çµŒé¨“を基ã«ã€Redisサーãƒã®CPUè² è·å¯¾ç–を「CPUè² è·å‰Šæ¸›ã€ã€Œã‚¹ã‚±ãƒ¼ãƒ«ã‚¢ãƒƒãƒ—ã€ã€Œã‚¹ã‚±ãƒ¼ãƒ«ã‚¢ã‚¦ãƒˆã€ã«åˆ†é¡žã—ã€ãƒ‘ターンã¨ã—ã¦ã¾ã¨ã‚る。 背景 Redisã®CPUè² è·å¯¾ç–パターン CPUè² è·å‰Šæ¸› multiコマンド Redisパイプライニング Luaスクリプティング Redisモジュール(夢) スケールアップ スケールアウト å‚照用スレーブ 垂直分割 水平分割 Redis Clusterã«ã‚ˆã‚‹æ°´å¹³åˆ†å‰² ãã®ä»– スライド資料 ã‚ã¨ãŒã å‚考資料 背景 R
A few things about Redis security - <antirez>
IMPORTANT EDIT: Redis 3.2 security improved by implementing protected mode. You can find the details about it here: https://www.reddit.com/r/redis/comments/3zv85m/new_security_feature_redis_protected_mode/ From time to time I get security reports about Redis. It’s good to get reports, but it’s odd that what I get is usually about things like Lua sandbox escaping, insecure temporary file creation,
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ã©ã†ã‚‚ã€ãƒ—ラットフォームDivã§ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã‚’ã‚„ã£ã¦ã„ã‚‹ Wataru ã§ã™ã€‚ 最近３人目ã®åä¾›ãŒç”£ã¾ã‚Œã¦ã€ç”£å¾Œè‡ªå®…勤務をã•ã›ã¦ãã‚ŒãŸå¼Šç¤¾ã¯ã¨ã¦ã‚‚ã„ã„会社ã ã¨æ€ã„ã¾ã™ã€‚出産予定ã®ã‚るエンジニアã®ã‹ãŸã¯æ˜¯éžå¼Šç¤¾ã«è»¢è·ã‚’。 ã•ã¦ã€ä»Šå›žã¯Redisã®ç´¹ä»‹ã‚’ã•ã›ã¦é ‚ããŸã„ã¨æ€ã„ã¾ã™ã€‚ Redisã£ã¦ã™ã”ãマイナーãªã‚ã‘ã§ã¯ãªã„ã®ã§ã™ãŒã€ã‚ã¡ã‚ƒãã¡ã‚ƒä¾¿åˆ©ãªã®ã«ã‚ã¾ã‚Šæ³¨ç›®ã•ã‚Œã¦ã„ãªã„ãªãƒ¼ã¨ã„ã†å°è±¡ãŒã‚ã‚‹ã®ã§ã€ã“れを機会ã«æ˜¯éžä½¿ã£ã¦ã¿ã¦ã‚‚らãˆã‚‹ã¨å¬‰ã—ã„ã§ã™ã€‚ Redisã£ã¦ä½•ï¼ŸRedisã¨ã¯ã€Œremote dictionary serverã€ã‹ã‚‰åå‰ãŒä»˜ã‘られãŸã‚ªãƒ¼ãƒ—ンソースã®key-valueデータストアã§ã™ã€‚ MemcacheDBç‰ã®KVSã¨ã®æœ€å¤§ã®é•ã„ã¯ã€æ ¼ç´ã™ã‚‹ãƒãƒªãƒ¥ãƒ¼ãŒãƒ‡ãƒ¼ã‚¿æ§‹é€ ã¨ã„ã†ã¨ã“ã‚ã§ã™ã€‚ ã¤ã¾ã‚Šã€ãƒªã‚¹ãƒˆãƒ»ã‚»ãƒƒãƒˆãƒ»ãƒãƒƒã‚·ãƒ¥ãªã©ã®ãƒ‡ãƒ¼ã‚¿æ§‹é€ ã§æ ¼ç´ã§ãã‚‹ã®ã§ãƒãƒªãƒ¥ãƒ¼ã«å¯¾ã—ã¦ã‚¢ãƒˆãƒŸãƒƒã‚¯ãªæ“作ãŒ
Redis勉強会資料(2015/06 update)
Redis勉強会ã®è³‡æ–™ã§ã™ã€‚2013å¹´ã«åˆç‰ˆã‚’アップã—ã¾ã—ãŸã€‚2015å¹´6月ã«Redis-Clusterã®å†…容を追記ã—ã¦å†ã‚¢ãƒƒãƒ—ã‚’è¡Œã£ã¦ã„ã¾ã™ã€‚Read less
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GitHub - aws-samples/amazon-elasticache-samples: Samples and documentation for using the Amazon ElastiCache Redis and Memcached
Resemaraを支ãˆãŸæŠ€è¡“ フライングゲットガãƒãƒ£ã®èˆžå°è£ #ksgstudy #ドリコム
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