Continuous Deployment Database Metrics 
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.
Startup Lessons Learned
SEPTEMBER 10, 2008
But if you want to practice rapid deployment, you need to be able to deploy that build in one step as well. If you want to do continuous deployment, youd better be able to certify that build too, which brings us to. For more on continuous deployment, see Just-in-time Scalability. Do you have a bug database?
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Startup Lessons Learned
SEPTEMBER 30, 2008
Massive proprietary databases? Startup Visa update ► February (5) Kiwi lean startup + Australia next Why diversity matters (the meritocracy business) Beware of Vanity Metrics (for Harvard Business Rev. Case Study: Continuous deployment makes releases n. I dont think so.
Startup Lessons Learned
JANUARY 4, 2009
Data storage is becoming a specialized function, delegated most often to relational databases. If you are storing all of your data in a relational database, and the load on that database exceeds its capacity, there is no automatic solution that allows you to simply add more hardware and scale up.
Startup Lessons Learned
JANUARY 19, 2009
This is another sub-optimization caused by incentivizing the wrong metric. They maintain a huge database of passive candidates, by offering to pay them when they interview. Particularly the Continuous Deployment and Split testing posts. Case Study: Continuous deployment makes releases n.
Startup Lessons Learned
DECEMBER 7, 2008
For this product, I later realized that I was the software architect, the frontend engineer, the backend engineer, the database administrator, the systems administrator, the QA engineer, and lastly I was the only technical support guy. Case Study: Continuous deployment makes releases n.
Startup Lessons Learned
NOVEMBER 5, 2008
Observe At the end of each day, wed laboriously enter data, updating the campaigns voter database with information about every voter contact we accomplished that day. That voter database was accessible to staff at every level of the campaign. Case Study: Continuous deployment makes releases n.
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