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.
Simplifying data management in the cloud
Enterprises are bogged down in a sea of data complexity as they expand the use of cloud-native databases. Could self-identifying data be the answer?
Active vs. passive cloud management tools
Understand the pros and cons of active and passive cloud management tools. Before you invest, know which way the market is going
Looking into an intelligent cloud future
Cloud computing is now a great way to make quick progress with enterprise IT. However, a few future developments may catch enterprises by surprise
Why SaaS-based AI training will be a game changer
As machine learning engines multiply, we see the benefits of having them train each other, versus using limited training data we may or may not have
I still hate New Year’s cloud predictions, but here are mine
It’s that time of year when everyone has an opinion about the next 365 days of cloud computing
‘Containerize everything’ is lazy cloud architecture
Containers are a good way to provide value to cloud computing migrations, but many in IT rely on them too much
Native or non-native? Choosing a cloud integration solution
Data integration is a necessary component for cloud computing, but the choices are not that clear
How to future-proof cloud applications
With thousands of applications moving to the cloud, it’s time we think about what will keep them going in the coming years
Data science and cloud computing win most political campaigns
With the 2020 elections a year away, technology will play a bigger role than policy. Enterprises should learn something
Should you go all-in on cloud native?
Using purpose-built storage, compute, databases, and more that‘s native to a specific platform sounds ideal but could mean double systems
What surgery taught me about the cloud
In the process of fixing my shoulder, I discovered some lessons for all enterprises regarding the effective integration of information
Thinking about the security of IoT and the cloud
Don’t underestimate IoT security complexity. Some tricks and technology can make IoT security easier
Don’t kludge serverless cloud applications
Somewhere along the way developers decided to build serverless applications on the fly, with little planning or design. That’s a bad idea
Create a productive cloudops feedback loop
Continuously improving operations requires end users to communicate issues with cloud-delivered systems directly to the ops team
Cloud architects who earn $150,000 are likely underpaid
Good cloud architects are hard to come by and often worth their weight in gold. That’s why, in some cases, their salary may be higher than their leaders’
Cloud architecture that avoids risk and complexity
Architecture that isn't effective but still works isn't good enough. Removing risk, complexity, and cost should be your primary objectives
Be prepared for microservices challenges
Microservices come with container-based development and cloud services. However, linking to other people’s code has its own risks
Fend off the increasing container attacks in the cloud
A new report shows that hackers are going after vulnerabilities in containers. Here are a few things you can do
It's time to change your cloud operating model
Cloud changes a great deal of things, including how you operate. Here is some basic guidance so you don’t run off the rails
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