It’s 7:00 a.m., and you’re in the office early. You’re hoping that nobody else is accessing the public cloud the company uses and that the inventory application will perform well for a change. However, even with just a handful of users on the cloud at that time of the morning, performance is still lackluster. The… Continue reading Cloud app slow? Blame the app, not the cloud
Which is more secure: virtual machines (VMs) or containers? The truth is that securing containers and cloud-native workloads is different than securing VMs, and it all starts with understanding attack and response and the ever-evolving nature of threats. For years, the security ecosystem has been in response mode. When an attack happens, the immediate reaction… Continue reading IDG Contributor Network: Attack and response: Cloud-native cybersecurity vs. virtual machine security
The Amazon Alexa platform is on a roll, now crammed with more than 15,000 “skills,” up from 10,000 in February, as reported by Voicebot. While this sounds amazing, the reality is that the vast majority of Amazon Echo customers don’t know 99.999 percent of those skills exist. Worse, there seems to be no viable way… Continue reading Amazon Alexa is so smart it’s stupid
A bare-metal cloud allows you to rent hardware resources from a public cloud service provider, or sometimes a managed service provider. With a bare-metal cloud, you get direct access to the hardware platform without having to go through tenant management systems. Therefore, one of the benefits of bare-metal cloud, as it is sold to the… Continue reading Think twice before using bare-metal clouds
You’re not a data scientist. Supposedly according to the tech and business press, machine learning will stop global warming, except that’s apparently fake news created by China. Maybe machine learning can find fake news (a classification problem)? In fact, maybe it can. But what can machine learning do for you? And how will you find… Continue reading Which Spark machine learning API should you use?
Enterprises want cloud portability. Why? Well, they want to hedge bets in case a public cloud provider “breaks bad” in terms of consistently poor service, or performance issues, or, more likely, jacking up the subscription fees to obnoxious levels. As many CIOs I have talked to put it: “We need to have choices. Choices mean leverage.”… Continue reading Cloud portability is still science fiction
With version 2.2 of Apache Spark, a long-awaited feature for the multipurpose in-memory data processing framework is now available for production use. Structured Streaming, as that feature is called, allows Spark to process streams of data in ways that are native to Spark’s batch-based data-handling metaphors. It’s part of Spark’s long-term push to become, if not all things… Continue reading Apache Spark 2.2 gets streaming, R language boosts