capacity planning for dummies

Recently, a friend asked me how to plan the disk capacity of a Sharepoint system? If the required disk capacity cannot be determined during system planning in the early stage, it is likely that three months after the system is launched, an embarrassing situation occurs when the server disk is insufficient. There are some related documents and white papers on the

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Web Capacity Planning Pricing: ￥29.00 Member price: ￥21.75 (off)Original Title: The art of Capacity Planning: Scaling Web ResourcesOriginal Press: o'reilly MediaAuthor: John allspawTranslator: ye Fei; Luo jianghua [same translator's work]Series name: Beijing huazhang graphic information Co., Ltd. O' Reilly SeriesPress:

MONGO is a memory-based database that should try to load all the data in the working set into memory, that is, the memory should be larger than the working setThis article is translated from Chad Tindel's English blog: http://www.mongodb.com/blog/post/capacity-planning-and-hardware-provisioning-mongodb-ten-minutes.Most MONGODB deployments run in clusters of multiple servers, which increases the complexity o

from MongoDB University. System performance and capacity planning are two important themes, and any deployment needs to address both issues, both RDBMS and NoSQL databases. As part of our planning, we should establish baselines for data volumes (volume), System load, performance (throughput and latency), and capacity

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In the use of Redis process, we found that a lot of redis different from the memcached, but also different from the characteristics of MySQL.(This article mainly discusses Redis is not enabled for VM support) 1. Schema MySQL: Need to design beforehandMemcached: No design requiredRedis: Small systems can be used, but if you want to plan and use Redis, you need to do something similar to the following planning data items: Value What is saved, such as us