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 An Insider’s Guide to Cloud Computing. 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.
Repatriating cloud apps and data? Think it through
Repatriation is a good move for ill-fitting workloads in the cloud, but these mistakes can make things worse. Know your workload and what you gain or lose.
How to succeed with cloud computing during an economic downturn
Many say to cut cloud computing in a slowing economy, but it's not that simple. Use these strategic moves to position yourself to lead the recovery.
Making a new business case for cloud computing
We thought cloud was all about cost savings, but that metric was wrong. We need to put a value on the agility and innovation cloud brings, not just dollars and cents.
3 overlooked cloud security attack vectors
Enterprises are putting their sensitive data in the cloud, but both sides are responsible for security. Be sure your cloud provider is aware of these threats.
How generative AI can hurt cloud operations
The hype around generative AI is white hot, and cloud operators are excited about the possibilities. First, let’s anticipate the unique problems it can cause.
3 common myths about sustainability and cloud computing
As sustainability becomes a front-and-center topic for enterprises, stubborn misconceptions about the power consumption of cloud-based deployments need debunking.
The 'AI tax' on AI-enabled applications in the cloud
The 'container tax' means companies pay more to use containers in the cloud. Applications with artificial intelligence are no different. Make sure AI is worth it.
From ‘cloud washing’ to ‘AI washing’
The marketing games continue. AI is the new spin causing a great deal of confusion in the world of cloud computing.
3 multicloud myths that need to be crushed
You've probably heard that multicloud avoids lock-in, is more cost-effective, and shouldn't include legacy systems. Sorry to say, but that's all wrong.
Observability will transform cloud security
Cloud security threats are increasing in both frequency and intensity. We need better visibility into potential threats and proactive approaches to addressing risk.
Sovereign clouds are becoming a big deal again
For companies that are required to keep data within a specific country or region, a sovereign cloud may be a key part of a multicloud deployment.
Cloud computing is driving a new gig economy in tech
A quiet revolution is going to change the way cloud work gets done. After being laid off, many people are starting their own businesses as cloud pros for hire.
Why is your multicloud so slow?
Many complain about the performance of their multicloud deployments these days, and for good reasons. Here are a few areas to look for answers.
3 ways to screw up a multicloud deployment
We’re experienced with multicloud, but we’re also making common mistakes. Make sure you plan common services and have all your people on board.
Forgotten cloud scaling tricks
Architecting for scalability will soon become a lost art. Most architects overlook autoscaling with predictive analytics, resource sharding, and cache invalidation.
Cloud-based quantum computing lets startups compete with Goliaths
Once out of reach for smaller companies, quantum computing services level the playing field. Providers offer access, development kits, and training at more affordable prices.
Don’t let buzzwords drive your cloud architecture
Many enterprises follow the crowd and choose as many hyped concepts as possible. Don't do it. Work from the requirements to the solution, not the other way around.
When finops costs you more in the end
Cloud finops can save you tons of money on cloud spending and return more value to the business. Unfortunately, mistakes are costing companies big time.
The cost and sustainability of generative AI
All the people using DALL-E to create images or letting ChatGPT write their term papers are eating up a lot of cloud resources. Who’s going to pay for all this?