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AWS Weekly Roundup â AWS AppSync, AWS CodePipeline, Events and More â August 21, 2023 In a few days, I will board a plane towards the south. My tour around Latin America starts. But I wonât be alone in this adventure, you can find some other News Blog authors, like Jeff or Seb, speaking at AWS Community Days and local events in Peru, Argentina, Chile, and Uruguay. If you see [â¦] New â Amazon EC2 H
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AWS News Blog Amazon ElastiCache â Now With a Dash of Redis We launched Amazon ElastiCache about two years ago, and have steadily added features ever since. In the last two years we have added auto discovery, additional cache node types, and reserved cache nodes. Weâve reduced prices several times and we have added support for additional AWS Regions and VPC. Today we are taking a big leap forward
Pinterest has been riding an exponential growth curve, doubling every month and half. Theyâve gone from 0 to 10s of billions of page views a month in two years, from 2 founders and one engineer to over 40 engineers, from one little MySQL server to 180 Web Engines, 240 API Engines, 88 MySQL DBs (cc2.8xlarge) + 1 slave each, 110 Redis Instances, and 200 Memcache Instances. Stunning growth. So whatâs
A very fast Redis client for the JVM. Description of each module: redisgen/ Scrapes the redis.io/commands page and produce various typed clients and servers, very extensible util/ Some common encoding and data structures client/ Leverages the protocol module for encoding and decoding. Supports both synchronous and asynchronous pipelined requests from the RedisClient. Supports 2.6 commands. protoco
Dear Redis users, in the final part of 2012 I repeated many time that the focus, for 2013, is all about Redis Cluster and Redis Sentinel. This is exactly what I'm going to do from the point of view of the big picture, however there are many smaller features that make a big difference from the point of view of the Redis user day to day operations. Such features can't be ignored as well. They are le
Spring Bootã«ããAPIããã¯ã¨ã³ãæ§ç¯å®è·µã¬ã¤ã 第2ç ä½å人ãã®éçºè ããInfoQã®ããããã¯ãPractical Guide to Building an API Back End with Spring BootããããSpring Bootã使ã£ãREST APIæ§ç¯ã®åºç¤ãå¦ãã ããã®æ¬ã§ã¯ãåºçæã«æ°ãããªãªã¼ã¹ããããã¼ã¸ã§ã³ã§ãã Spring Boot 2 ã使ç¨ãã¦ãããããããSpring Boot3ãæè¿ãªãªã¼ã¹ãããéè¦ãªå¤...
Premise: a small rant about software reliability. === I'm very serious about software reliability, and this is not just a good thing. It is good in a sense, as I tend to work to ensure that the software I release is solid. At the same time I think I take this issue a bit too personally: I get upset if I receive a crash report that I can't investigate further for some reason, or that looks like alm
Itâs True: Even Modest Datasets Can Enjoy the Speediest Performance Those of us who use them know that Redis and Memcached were designed from the ground-up to achieve the highest throughput and the lowest latency for applications, and they are in fact the fastest data store systems available today. They serve data from RAM, Â and execute all the simple operations (such as SET and GET) with O(1) com
A coworker and I were designing a solution to a rather interesting problem yesterday and we realized we needed a more in-depth understanding of the memory usage of the various datatypes in Redis to squeeze as much storage out of Redis as possible. Among other things we also wanted to verify some of statements in the Redis documentation, e.g. are hashes really preferable to creating pseudo-hashes b
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