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Machine learning can also go terribly wrong, making you regret that enthusiastic rush to adopt
Don’t move to devops or the cloud unless you plan on doing both
Naïveté and inadequate planning have made many large enterprises unhappy about the cloud deployments and the ROI they’ve gained. But this too will pass
There are a lot of good reasons to adopt a multicloud architecture. Avoiding provider lockin isn’t one of them. Here’s why
When learning, machine learning will make mistakes. Adopters need to anticipate that—and be careful not to make matters worse through human mistakes by IT and business
A lack of skilled people continues to stymie the AI revolution. That’s why smart companies invest as much in cultural change as technology adoption—and Google shows how
How Apache Kafka's partitions, message offsets, and consumer groups handle up to millions of messages per day
Build a continuous big data messaging system with Apache Kafka
When you can’t do it the best way, at least get something out of the workaround besides the runaround
The secret to maintaining applications and avoiding or at least delaying legacy status lies in how organizations and teams manage technical debt