This was a well thought-out and executed talk.
My only complaint with the talk is with the size of the the text in the sample code; but I know that you will fix this because you recognized the problem right away.
This is what made the talk go from being good to being great: you immediately recognized a problem in your slides and did not let that affect your presentation style nor your attitude. The show went on.
Well-organized talk with very clear, valid challenges to traditional thinking done by tech people when doing marketing. I appreciate the focus on solving problems, and then communicating clearly to identified target markets about how your product/service solves their problems. Interesting thoughts on pricing, too. What is it worth to the customer to have this problem solved? Takeaway thought for me: Revenue solves most arguments. Will the new product/service/feature make money? Is it worth enough to the end user to pay for it?
This was a great intro to queues. I appreciated that you looked at some of the common pitfalls when using queues.
Best talk I've ever seen where the speaker's fly was unzipped.
Great talk filled with battle stories and hard learned lessons. If you struggle to balance "doing things the right way" and "getting tasks accomplished" you need to see this talk.
Great talk that covers complex topics that were explained very well.
Great informative talk on using Gearman for job queues. Michael had good examples, gave technical coding examples, and covered tips, tricks, and pitfalls. Overall a great talk about a useful tool that can really help out.
I appreciated the depth of the examples given and was able to understand the presentation. I found it useful and enlightening. I missed the setup provided by the organizers so I was unable follow along, but I downloaded the git repo and will be able to play with it.
Thanks, good introduction to Gearman. Would have liked some more explanation of the competing options, pluses and minuses
I always knew the Internet was evil and only gave the illusion of privacy, but Keith makes our (ethical/legal) invasion of privacy look like fun now. (Love them disclaimers) It's a good thing he is on our side, I think. I now feel empowered to aggregate big data myself and (ethically/legally) crush my enemies and hear the lament on their social media.