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Science / DevOps / Grade 9 / sd9r2

Recovery Goals: Read the Whole Timeline

Use clock times to distinguish a data gap from detection, restoration and service validation.

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Practice comparing recovery goals

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Read the data coverage time, not just a file name. Subtract it from the outage time to find the data gap. Measure interruption from the outage until checked service is working again, including detection and other delays. Compare both results with their stated maximums. Across an hour, count to the hour and then onward.

Worked example

Data covers through 08:56 and the outage begins at 09:04: 4 minutes to 09:00 plus 4 more makes an 8-minute gap. Detection ends at 09:06, restore at 09:09 and checks at 09:11. The full interruption is 7 minutes, not just the 3 minutes spent restoring.

Data through 10:53; outage at 11:05. A proportional service timeline runs from 11:05 to 11:15, with detection ending 11:07 and restoration ending 11:12. Checks end at 11:15. Data gap maximum 12 minutes, interruption maximum 9 minutes.
The service timeline starts at the outage, before detection ends.

The clock is still running

In this invented rehearsal, data covers through 10:53. Service stops at 11:05. Detection ends at 11:07; restoration ends at 11:12; checks finish and working service returns at 11:15. These consecutive stages include all delays. The maximum data gap is 12 minutes and the maximum interruption is 9 minutes. This is a paper model: do not restore, replace or delete real records.

Question 1 What is the data gap, in minutes?
Question 2 What is the complete interruption, in minutes?
Question 3 Which conclusion follows from the two stated maximums?
Question 4 A separate rehearsal uses the same data point, but checked service returns at 11:14. What changes?
Question 5 Another file is named latest, but its data coverage time is unknown. Can that name prove it meets the data-gap limit?