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.
The cloud is now mission-critical
A new study finds what most of us already knew, but we may not be acting accordingly. Essential infrastructure requires essential attention to detail.
Containers require good architecture
They may seem simple, but containers require a whole new architecture skill set. Here’s what you need to know.
2 common cloud computing predictions for 2021 are wrong
Using multicloud to avoid lock-in and going cloud native are on everyone’s list of what will be important this year. But misinformation is everywhere.
The shape of edge computing in 2021
Edge computing is hyped as the next destination for cloud computing, but complexity and security may squeeze out some of the benefits.
My 2021 cloud computing New Year’s resolutions
It’s that time of year to make promises to yourself you’ll never keep. Perhaps these cloud-related improvements will be different.
2 mistakes that will kill your multicloud project
Multicloud is the way to go these days, but remember that it's a complex, distributed architecture that most are getting wrong.
Elevating SaaS to its rightful place in the enterprise
Most enterprises don’t consider SaaS as much as they should in their cloud journey. That’s a huge mistake.
A foolproof process to move and improve cloud data
Moral of the story: Data migration is never simple, cloud or not.
Overcoming the core hurdle to edge computing adoption
Enterprises are figuring out that edge computing comes with its own set of challenges. Here’s how to work through the most difficult.
Public clouds hit a wall in innovation
As virtual conferences become the new normal, it’s easier to see that cloud is in a creative stall.
Tune cloud app performance and cost efficiency
Think your cloud apps are fully optimized for performance and cost? Guess again. These three tricks can cut thousands of dollars off cloud service bills and reduce latency.
On-premises data warehouses are dead
The writing's been on the wall for awhile now. Data analytics migration to the cloud is now underway and is making on-premises data warehouses obsolete.
Weaponizing the cloud to fight addiction
We’re seeing a rise in overdose deaths in the U.S. during the pandemic. Perhaps it’s time to leverage cloud technology to address this problem.
The ‘intelligent edge’ isn’t always the smartest choice
Just because you can, doesn’t mean you should. Complexity, latency, and network outages may give you pause.
The ‘distributed cloud’ isn't emerging — it’s already here
Assigning data storage and processing to specific cloud regions is a good move, but still benefits from centralized control and risk awareness.
Technology disenfranchisement is now a thing
With the cloud taking over R&D dollars and IT budgets, traditional systems are being left behind.
What will cloud security look like in 3 years?
Cloud security has been better than on-premises security for several years now. Increased automation and interoperability will cement its position as a best practice.
The cloud’s role in elections grows more significant
Most campaigns view polling data, logistics, and demographics as fundamental to winning an election. More likely, data science and cloud computing will win the day.
The move to dynamic distributed cloud architectures
Now that we’re moving things out to the edge, an emerging approach blows the door off the cloud-only and edge-only models.
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