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Showing entries 1 to 7

Displaying posts with tag: capacity planning (reset)

Scale Quickly Like Birchbox – Startup Scalability 101
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Read the original article at Scale Quickly Like Birchbox – Startup Scalability 101

One of the great things about the Internet is how it has made it easier to put great ideas into practice. Whether the ideas are about improving people’s lives or a new way to sell and old-fashioned product, there’s nothing like a good little startup tale of creative disruption to deliver us from something old and tired.

We work with a lot of startup firms and we love being part of the atmosphere of optimism and ingenuity, peppered with a bit of youthful zeal - something very indie-rock-and-roll about it. But whether they are just starting out or already picking up pace every startup faces the same challenges to scale a business. Recently, we were reminded of this

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5 Things That Are Toxic to Scalability
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Scalability is about application, architecture and infrastructure design, and careful management of server components.

1. Object Relational Mappers

ORMs are popular among developers but not among performance experts.  Why is that?  Primarily these two engineers experience a web application from entirely different perspectives.  One is building functionality, delivering features, and results are measured on fitting business requirements.  Performance and scalability are often low priorities at this stage.  ORMs allow developers to be much more productive, abstracting away the SQL difficulties of interacting with the backend datastore, and allowing them to concentrate on building the features and functionality.

On the performance side the picture is a bit different.  By leaving SQL query writing to an ORM, you are faced with complex queries that

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3 Ways to Boost Cloud Scalability
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Deploying in the Amazon cloud is touted as a great way to achieve high scalability while paying only for the computing power you use. How do you get the best scalability from the technology?

1. Use Auto-scaling

Auto-scaling is a unique feature of cloud computing and Amazon's EC2 offering. Setup a load balancer and a couple of webservers for your application as you normally would. Design your webserver based on a template AMI that you'll reuse over and over. Then setup auto-scaling and set thresholds based on the traffic you forecast. When a threshold is passed, AWS will spinup a new instance of your webserver, and roll it into the load balancer pool

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A review of Guerrilla Capacity Planning by Neil Gunther
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Guerrilla Capacity Planning

Guerrilla Capacity Planning. By Neil J. Gunther, Springer 2007. Page count: about 200 pages, plus appendixes. (Here’s a link to the publisher’s site.)

Of all the books I’ve reviewed, this one has taken me the longest to study first. That’s because there is a lot of math involved, and Neil Gunther knows a lot more about it than I do. Here’s the short version:

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A review of Forecasting Oracle Performance by Craig Shallahamer
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Forecasting Oracle Performance

Forecasting Oracle Performance. By Craig Shallahamer, Apress 2007. Page count: about 250 pages. (Here’s a link to the publisher’s site). Short version: buy it and read it, but make sure you don’t rely on it alone; deepen your knowledge through other sources.

I bought and read this book because I’m interested in performance, performance forecasting, and capacity planning. I’m not interested in

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Log Buffer #182, a Carnival of the Vanities for DBAs
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This is the 182nd edition of Log Buffer, the weekly review of database blogs. Make sure to read the whole edition so you do not miss where to submit your SQL limerick!

This week started out with me posting about International Women’s Day, and has me personally attending Confoo (Montreal) which is an excellent conference I hope to return to next year. I learned a lot from confoo, especially the blending nosql and sql session I attended.

This week was also the Hotsos Symposium. Doug’s

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A review of The Art of Capacity Planning by John Allspaw
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The Art of Capacity Planning

The Art of Capacity Planning. By John Allspaw, O’Reilly 2008. Page count: 130 pages. (Here’s a link to the publisher’s site.)

This is an outstanding book. As far as I know Ewen Fortune was the first Perconian to read it, and it’s been spreading amongst us since then. I got my copy last week, and read it last night when I couldn’t sleep for some reason. It took me about 90 minutes to read.

This book

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Showing entries 1 to 7

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