Austin Continuous Deployment Metrics 
Startup Lessons Learned
JUNE 15, 2009
Lessons Learned by Eric Ries Monday, June 15, 2009 Why Continuous Deployment? Of all the tactics I have advocated as part of the lean startup , none has provoked as many extreme reactions as continuous deployment , a process that allows companies to release software in minutes instead of days, weeks, or months.
Startup Lessons Learned
JANUARY 18, 2010
Lessons Learned by Eric Ries Monday, January 18, 2010 Case Study: Continuous deployment makes releases non-events The following is a case study of one entrepreneurs transition from a traditional development cycle to continuous deployment. Continuous Deployment is Continuous Flow applied to software.
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Startup Lessons Learned
DECEMBER 28, 2009
Lessons Learned by Eric Ries Monday, December 28, 2009 Continuous deployment for mission-critical applications Having evangelized the concept of continuous deployment for the past few years, Ive come into contact with almost every conceivable question, objection, or concern that people have about it.
Startup Lessons Learned
FEBRUARY 10, 2009
Lessons Learned by Eric Ries Tuesday, February 10, 2009 Continuous deployment and continuous learning At long last, some of the actual implementers of the advanced systems we built at IMVU for rapid deployment and rapid response are starting to write about it. At IMVU it’s a core part of our culture to ship.
Startup Lessons Learned
DECEMBER 23, 2009
Lessons Learned by Eric Ries Wednesday, December 23, 2009 Why vanity metrics are dangerous In a previous post, I defined two kinds of metrics: vanity metrics and actionable metrics. In this post, Id like to talk about the perils of vanity metrics. My personal favorite vanity metrics is "hits."
Startup Lessons Learned
FEBRUARY 16, 2009
Lessons Learned by Eric Ries Monday, February 16, 2009 Continuous deployment with downloads One of my goals in writing posts about topics like continuous deployment is the hope that people will take those ideas and apply them to new situations - and then share what they learn with the rest of us. Thanks for the comments.
Startup Lessons Learned
NOVEMBER 13, 2008
Because five whys kept turning up a few key metrics that were hard to set static thresholds for, we even had a dynamic prediction algorithm that would make forecasts based on past data, and fire alerts if the metric ever went out of its normal bounds. Case Study: Continuous deployment makes releases n.
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