From the course: Cloud Observability and Operations: Considerations for Security, Governance, Monitoring, and Cost Control
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Reacting to the data
From the course: Cloud Observability and Operations: Considerations for Security, Governance, Monitoring, and Cost Control
Reacting to the data
- [Instructor] There are a few ways that you can react to the data including the raw data and the data that's going through some analytical and perhaps, AI-assisted processing. We can summarize these types of reactions as reactive and proactive. Reactive is really just reacting to a data point of data that shows that some operational task should be carried out to ensure the success of cloud operations processes. For example, you're getting data points from your cloud ops systems that you ran out of storage on a major storage drive that supports several key databases supporting the business. You can respond to this by allocating additional storage or moving some of the databases to other storage servers. Either way, you're reacting to the problem and responding to fix it. That's what cloud ops people call firefighting. We can react in manual or automated ways. We can be notified that something needs to be…
Contents
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Gathering ops data2m 37s
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(Locked)
Storing ops data2m 34s
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Analyzing ops data for observability2m 28s
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Reacting to the data3m 5s
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Automation vs. abstraction2m 50s
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Self-healing example4m 6s
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Cloud cost monitoring and observability (FinOps)1m 42s
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Challenge: Automating operations at Jill's Scarce Wood2m 45s
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Solution: Automating operations at Jill's Scarce Wood2m 34s
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