With a full extra day of content, two new venues, and twice as many breakout sessions as last year — this year’s re:Invent looks to be unlike any before. Keep in mind, this is AWS so we can expect every modern IT topic and trend to be covered, including IoT, containers, mobile, and big data, making it an IT even you won’t want to miss.
Read moreWhile acting as vice president of a performance-based Internet marketing company, I oversaw the migration to a new infrastructure, an important part of which involved changing over 300 of our DNS records. Imagine my horror when I discovered that we’d mistakenly misrouted nearly all of those records, taking the entire company down.
Read moreAmazon Web Services’ yearly shindig, re:Invent, turned out to be yet another whirlwind of information and product releases. Here’s the skinny on all of the important new services, in the order of what I see as the most impactful. Like all major cloud providers these days, AWS is launching these services in beta or preview mode. But in AWS parlance, that simply means that the services don’t yet have all features they’d like to see in production. All of the services below are available for immediate use.
Read moreLike any “big data” initiative, deploying and operating a data warehouse of any size used to be limited to only large enterprises with deep budgets for proprietary hardware and multi-year software licenses. Pay-as-you-go cloud products like Google’s BigQuery and Amazon Redshift change all of that, putting a fully blown, fully managed data warehouse within reach of even the smallest business. This article addresses what Amazon Redshift is (and is not).
Read moreThe trend of humans losing work to machines is nothing new, and this author has been both interested in and writing about the topic for quite some time. Although our egos don’t want to hear it, computers are simply better than us at some tasks. Luckily it happens to be those same tasks that most humans don’t find particular joy in — doing repetitive calculations over and over, or crawling through libraries of data looking for patterns.
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