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.
Migrating to cloud native requires seeing shades of gray
We’ve been pushing cloud native in terms of refactoring applications that are moving to the cloud, but the reality is not black and white
Multicloud is not really about clouds anymore
Multicloud is less about what’s in the individual clouds, and more about the technologies that sit above and between
When to use a fog computing node
Fog nodes are the new ‘cool kid’ components for edge computing. However, we risk overusing them if we don’t understand their true purpose at the edge
What to do with legacy apps that can’t migrate to the cloud
Some applications are not pragmatic to move, so find a way to make them someone else’s headache
The state of services in the cloud for 2020
We’ve learned to take services for granted, but they are actually more important than most cloud architects think
Cloudops tools: More is not better
Cloudops and cloudops tools (such as AIops) are important, but you can have too much of a good thing
3 multicloud architecture patterns cloud pros should understand
Be aware of these emerging multicloud architecture patterns that eliminate data, service, and process silos
Yes, it's safe to move sensitive data to the cloud
The public clouds have been safe places to store mission-critical and sensitive data for some time, but it takes a pandemic to push most enterprises over the tipping point
3 things the pandemic taught us about cloud computing
Many enterprises are learning some hard lessons they did not even know existed four months ago
Why data and processing should live in the cloud, not on devices
New evidence suggests that mobile device users prefer the processing and data to not reside on their devices. Is this a new best practice?
When not to use AIops for cloudops
The excitement around AIops means that it’s sometimes being deployed for the wrong reasons. Here are a few situations where AIops is contraindicated
The post-pandemic move to edge computing requires some thought
With a newly expanded distributed workforce, many enterprises are considering a move to the edge. Make sure you've thought about security and data volume
3 serverless downsides your cloud provider won’t mention
Serverless is getting more popular as enterprises rush to the cloud, but some drawbacks are almost never discussed
Cloud complexity is a threat to data security
One study shows what many of us already suspected: Cloud complexity makes data more vulnerable, even with the best security practices and technologies in place
3 myths of disaster recovery and cloud computing
Most in IT understand the need for backup and recovery operations, but moving to the cloud has caused some confusion
3 steps to successful cloud architecture
Cloud architects need to understand cloud technology and how the pieces fit together. They also need to understand old school process
A pragmatic approach to the post-pandemic run on cloud computing
All signs indicate cloud computing will be hotter soon, pushed by vulnerabilities identified during the pandemic. Will you be ready?
3 cloud security mistakes you’re likely making without knowing
Moving to a post-pandemic cloud deployment? You can easily avoid these security errors
Intra-cloud latency is real. Here's what to do about it
A little-known Achilles heel in the cloud computing world, intra-cloud latency could have a huge negative impact on public cloud-based application performance
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