We need to ensure that we’re building systems that work well together. That means making sure that we have good interfaces between layers so that we can easily share information across them. It also requires thinking carefully about which parts should remain manual. And finally, we must consider how much automation is appropriate. There may come a point where we simply cannot automate everything.
- Detecting outages as they happen.
- Identifying root causes of an outage.
- Predicting failures before they occur.
We need to keep in mind that this technology isn’t perfect yet. For example, if you use ML to classify images, you’ll find that your system might misclassify certain objects. You’d want to check these results against known samples to see whether they match expectations. Also, remember that even though AI is getting smarter every day, it still doesn’t always perform perfectly. Sometimes, humans are needed to correct mistakes made by machines.
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