Continuous Deployment Database Product Development 
Startup Lessons Learned
NOVEMBER 13, 2008
Wish I could figure out how to apply it to the average data warehousing project which has a single shareed database right at the heart of the entire solution. It seems your cluster architecture is one of the key architectural constraints making continuous deployment possible. Case Study: Continuous deployment makes releases n.
Startup Lessons Learned
SEPTEMBER 10, 2008
I am convinced one of Joel Spolskys lasting contributions to the field of managing software teams will turn out to be the Joel Test , a checklist of 12 essential practices that you could use to rate the effectiveness of a software product development team. For more on continuous deployment, see Just-in-time Scalability.
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Startup Lessons Learned
SEPTEMBER 30, 2008
Massive proprietary databases? Own the development methodology - in a traditional product development setup, the VP Engineering or some other full-time manager would be responsible for making sure the engineers wrote adequate specs, interfaced well with QA, and also run the scheduling "trains" for releases.
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
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. If you want to expand your pool of available passive candidates, give a site like NotchUp a try.
Startup Lessons Learned
DECEMBER 7, 2008
Sometimes, a great hacker has the potential to grow into the CTO of a company, and in those cases all you need is an outside mentor who can work with them to develop those skills. At the end of the day, the product development team of a startup (large or small) is a service organization. Does this sound familiar?
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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