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57 lines
1.7 KiB
ReStructuredText
57 lines
1.7 KiB
ReStructuredText
Capacity Planning
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*****************
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(Seems reasonable to have the Statistics for Engineers course be a pre-req for
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this course)
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Fundamentals of capacity planning
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=================================
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Resource usage investigation and exploration
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---------------------------------------------
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* Examples: CPU:req/sec ratio, memory footprint:req/sec ratio, disk consumption
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per user/per sale/per widget, etc.
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* Application:Infrastructure metric relationships
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* 2nd order capacity (logging,
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metrics+monitoring systems, ancillary systems)
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Finding ceilings
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----------------
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* Discovering resource limits
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* Comparing different hardware/instance profiles - production load versus
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synthetic
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* Benchmarking: pitfalls, limitations, pros/cons
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* http://www.contextneeded.com/system-benchmarks
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* Multivariate infra limits (multiple resource peak-driven usage) Ex: web+image
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uploads, caching storage+processing, etc.
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* Architecture analysis (anticipating the next bottleneck)
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Forecasting
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============
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Linear and nonlinear trending and forecasting ("steering by your wake")
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-----------------------------------------------------------------------
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Details of automatic forecasting and scaling
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--------------------------------------------
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Seasonality and future events
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-----------------------------
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* Organic growth approaches (bottom-up infra driven, top-down app driven)
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* inorganic growth events (new feature launch, holiday effects, "going viral",
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major public announcement)
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* Provisioning effects on timelines, financial tradeoffs
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Diagonal scaling
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================
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(vertically scaling your already horizontal architecture)
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Reprovisioning and legacy system usage tradeoffs
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------------------------------------------------
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