The Art of Capacity Planning : Scaling Web Resources in the Cloud

Name: The Art of Capacity Planning : Scaling Web Resources in the Cloud
Author: Arun Kejariwal, John Allspaw
ISBN: 9781491939208

by Arun Kejariwal, John Allspaw

Paperback

The Art of Capacity Planning : Scaling Web Resources in the Cloud

by Arun Kejariwal, John Allspaw

Paperback

Condition

Overview

In their early days, Twitter, Flickr, Etsy, and many other companies experienced sudden spikes in activity that took their web services down in minutes. Today, determining how much capacity you need for handling traffic surges is still a common frustration of operations engineers and software developers. This hands-on guide provides the knowledge and tools you need to measure, deploy, and manage your web application infrastructure before you experience explosive growth. In this thoroughly updated edition, authors Arun Kejariwal (MZ) and John Allspaw provide a systematic, robust, and practical approach to capacity planning--rather than theoretical models--based on their own experiences and those of many colleagues in the industry. They address the vast sea change in web operations, especially cloud computing. Understand issues that arise on heavily trafficked websites or mobile apps Explore how capacity fits into web/mobile app availability and performance Use tools for measuring and monitoring computer performance and usage Turn measurement data into robust forecasts and learn how trending fits into the planning process Examine related deployment concepts: installation, configuration, and management automation Learn how cloud autoscaling enables you to scale your app's capacity up or down

FormatPaperback

LanguageEnglish

PublisherO'Reilly Media, Incorporated

Publication DateNov. 14th, 2017

ISBN-139781491939208

Dimensions6.97 x 9.17 x 0.47 inches

ISBN-101491939206

Shipping Weight0.91 lbs

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Preface	p. vii
Goals, Issues, and Processes in Capacity Planning	p. 1
Background	p. 1
Preliminaries	p. 2
Quick and Dirty Math	p. 5
Predicting When Systems Will Fail	p. 6
Make System Stats Tell Stories	p. 8
Buying Stuff	p. 15
Performance and Capacity: Two Different Animals	p. 16
The Effects of Social Websites and Open APIs	p. 20
Readings	p. 21
Resources	p. 22
Setting Goals for Capacity	p. 25
Different Kinds of Requirements and Measurements	p. 26
External Service Monitoring	p. 26
SLAs	p. 30
Business Capacity Requirements	p. 32
User Expectations	p. 33
Architecture Decisions	p. 35
Providing Measurement Points	p. 35
Resource Ceilings	p. 38
Hardware Decisions (Vertical, Horizontal, and Diagonal Scaling)	p. 39
Disaster Recovery	p. 42
Readings	p. 44
Resources	p. 44
Measurement: Units of Capacity	p. 45
Capacity Tracking Tools	p. 51
Fundamentals and Elements of Metric Collection Systems	p. 52
Round-Robin Database and RRDTool	p. 53
Ganglia	p. 54
Simple Network Management Protocol	p. 55
Treating Logs as Past Metrics	p. 55
Monitoring as a Tool for Urgent Problem Identification	p. 55
Network Measurement and Planning	p. 57
Load Balancing	p. 59
Applications of Monitoring	p. 61
Application-Level Measurement	p. 61
Storage Capacity	p. 62
Database Capacity	p. 75
Caching Systems	p. 80
Establishing Caching System Ceilings	p. 84
Special Use and Multiple Use Servers	p. 90
API Usage and its Effect on Capacity	p. 94
Examples and Reality	p. 97
Summary	p. 97
Readings	p. 98
Resources	p. 100
Predicting Trends	p. 103
Riding the Waves	p. 105
Trends, Curves, and Time	p. 106
Tying Application Level Metrics to System Statistics: Database Example	p. 111
Forecasting Peak-Driven Resource Usage: Web Server Example	p. 114
Caveats Concerning Small Datasets	p. 118
Automating the Forecasting	p. 118
Safely Factors	p. 121
Procurement	p. 123
Procurement Time: The Killer Metric	p. 124
Just-in-Time Inventory	p. 124
The Effects of Increasing Capacity	p. 126
Long-Term Trends	p. 127
Traffic Pattern Changes	p. 127
Application Usage Changes and Product Planning	p. 130
Iteration and Calibration	p. 131
Best Guesses	p. 132
Diagonal Scaling Opportunities	p. 133
Summary	p. 134
Readings	p. 134
Resources	p. 136
Deployment	p. 137
Automated Deployment Philosophies	p. 138
Minimize Time to Provision New Capacity	p. 138
All Changes Happen in One Place	p. 138
Never Log in to an Individual Server (for Management)	p. 139
Have New Servers Start Working Automatically	p. 140
Maintain Consistency for Easier Troubleshooting	p. 140
Automated Installation Tools	p. 141
Preparing the OS Image	p. 145
The Installation Process	p. 146
Automated Configuration	p. 147
Defining Roles and Services	p. 148
An Example: Splitting Off Static Web Content	p. 149
User Management and Access Control	p. 150
Ad Hockery	p. 151
Example 2: Multiple Datacenters	p. 152
Summary	p. 153
Readings	p. 153
Resources	p. 154
Autoscaling	p. 155
The Challenge	p. 156
Autoscaling on Amazon EC2	p. 160
Design Guidelines	p. 162
Scalability Analysis	p. 163
Properties	p. 164
Autoscaling by Fixed Amount	p. 164
Scaling by Percentage	p. 167
Startup Time Aware Scaling	p. 170
Potpourri	p. 176
Advanced Approaches	p. 177
Summary	p. 178
Readings	p. 180
Resources	p. 182
Virtualization	p. 183
Dealing with Instantaneous Growth	p. 191
Capacity Tools	p. 199
Index	p. 205
Table of Contents provided by Ingram. All Rights Reserved.

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