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More Elastic Scaling: Remove hardcoded restrictions on maximum observation period
For those customers that want to unleash Turbonomic to unlock elasticity in the cloud, we use the percentile and observation settings to help influence Turbo's decision making. However, it appears there are hardcoded limits to the minimum/maximum "Maximum Observation" period values. This limits customers' ability to customize the elasticity to their needs. And in some customer cases, Turbo does not scale up/down fast enough to meet application demands.
For DBs, the Max Observation Period hardcoded limits are: - Min: 3 Days - Max: 30 Days
For VMs the Max Observation Period hardcoded limits are: - Min: 7 Days - Max: 90 Days
For Volumes, the Max Observation Period hardcoded limits are: - Min: 7 Days - Max: 90 Days
When we try to use the API to change it to something less than 3 days we get this message: - "Invalid Policy Setting: Value 1.0 for setting maxObservationPeriodDatabase less than minimum!"
When it comes to automating the scaling of Azure DBs or AWS Volumes, these actions are "non-disruptive". And using the minimum Maximum Observation Period of 3 Days, with a 99thP - it would take Turbo 43 minutes running at 100% utilization before it decides to scale something up. If we allow customers to go below our hardcoded value of 3 Days they can customize Turbo to respond even quicker to peak utilization. Let's not limit our users from being as elastic as they want in the cloud!
The ask: remove the minimum Maximum Observation Period of 3 days. Allow the customer to set a value to anything greater or equal to 0.1 days.
We can keep the GUI as it remains today with the preset options (3, 7, 14, 30 days etc), but allow users to use the API to modify it to non-default values.
- For reference, chart showing minutes needed before size up with different percentile/observation period combinations Observation Period (Days) Percentile 1 Day 2 Days 3 Days 7 Days 14 Days 30 Days 90% 144 288 432 1008 2015 4320 95% 72 144 216 504 1007 2160 99% 14 28 43 100 201 432
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