David Linthicum
David S. Linthicum is 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.
One application across multiple clouds? 3 big problems
Before you run a distributed application across multiple public cloud providers, you need to understand the trade-offs (many) and the opportunities (few).
Does AI-driven cloud computing need ethics guidelines?
It’s clear that artificial intelligence is powerful and cost-effective in the public cloud. However, it can be weaponized for unethical tasks.
Higher education embraces cloud computing just in time
Rising demand for remote learning plus growing student dissatisfaction equals colleges and universities rushing to cloud-based platforms.
Cloud overspending spotlights the need for cost governance
The pandemic has spiked cloud spending, and enterprises are unhappy with their bills. Best practices are emerging to get costs under control.
Make database normalization part of cloud migration
It’s tempting just to replicate all databases in the cloud, but it’s a much better approach to get your data house in order as part of the move.
3 must-haves for your multicloud architecture
Your preflight checklist should have centralized account management, resource management, and asset normalization.
Should you care about quantum computing?
The answer is often not what people want to hear. Here’s where quantum computing fits in the world of cloud computing, and perhaps in your business.
You’re doing cloud-based AI and machine learning wrong
Artificial intelligence and machine learning are hard, and most building these systems don’t know what they are doing. Here’s how to avoid AI/ML failures.
How we’ll use cloud when we go back to work
We’ve proactively enabled a new remote workforce this past year, but some may return to the office soon. Better start planning.
The new normal needs new cloud security
IT leaders now question the effectiveness of security that was built before remote work spiked the use of cloud computing. Do their defenses hold up under widely distributed use?
When Kubernetes is not the solution
This powerful tool is right for many applications and wrong for others. Here’s how to tell when a square Kubernetes peg won’t fit into a round application hole.
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