David Linthicum
David S. Linthicum is a chief cloud strategy officer at Deloitte Consulting, and an internationally recognized industry expert and thought leader. Dave has authored 13 books on computing, the latest of which is Cloud Computing and SOA Convergence in Your Enterprise, a Step-by-Step Approach. Dave’s industry experience includes tenures as CTO and CEO of several successful software companies, and upper-level management positions in Fortune 100 companies. He keynotes leading technology conferences on cloud computing, SOA, enterprise application integration, and enterprise architecture. Dave writes the Cloud Computing blog for InfoWorld. His views are his own.
AI systems are biased, and cloud availability makes it worse
IT will have to be on the lookout for hidden biases and take action to minimize the harm
When to declare cloud application migration failure
There are three main causes of cloud migration failures to avoid if possible and learn from if not
How to eliminate the security risk of redundant data
Most enterprises bring all their redundant data to the cloud, along with the security risk such redundancy creates. Here’s how to fix it
What you should know about serverless computing before you start
New data shows a pretty obvious trend: the acceleration of serverless adoption. Make sure you consider the pros and cons
AI cloudops is coming, whether you like it or not
New cloud monitoring and cloud management tools are becoming self-learning, with both pros and cons today
New tools help you pick the right cloud configuration
Getting an optimal cloud configuration is something you can do yourself, but emerging tools can help do it better
How to find devops staff who are good at both technology and people
A new study shows that to optimize devops you need a mix of hard technology skills and soft people skills. But how do you get that combination?
2 security tricks your cloud provider won’t tell you
Security operations (secops) are more effective if you pair them with governance operations (govops) and cost operations (costops)
2 reasons a federated database isn’t such a slam-dunk
The ability to use data in place is a great solution for using heterogeneous data in the cloud. But it's easy to create performance and security flaws when you do so
How to address IoT’s two biggest challenges: data and security
The internet of things generates colossal amounts of data from typically unsecure devices. Left as is, either problem could lead to catastrophe
2 reasons to avoid industry-specific cloud technology
Too often, industry-specific platforms use inferior technology and take too much work to reconfigure
The danger of having a cloud-native IT policy
Cloud-native means lockin. What you need to determine is how much lockin is worth the advantage of a single throat to choke
Containers: The pros and cons you may not know about
“We are using containers” is the battle cry of enterprises looking to get to the ultimate in performance, scalability, and portability—but you don’t always get what you expect
Beware the siren song of no-ops
Some enterprises are buying into the no-ops premise, and so are setting unrealistic expectations for what cloudops should be
What cloud computing can learn from good BBQ
The process and ingredients that it takes to make your cloud computing project work are directly related to how you get a perfectly smoked piece of meat
3 reasons you shouldn’t use chatbots
Voice interfaces may seem cool, but they are often ineffective, inefficient, and costly to build. So you need a really good reason to use a chatbot
Why cloud computing suddenly seems so hard and expensive
Enterprises are struggling with cost overruns, hiring, and security concerns, all problems that are easily overcome—and reflect a mature view of the cloud
The cloud’s weakest security links aren’t where you're looking
In all security, your weakest link is your biggest vulnerability. Cloud security is no different
