Introduction
Balancing storage capacity and data access speeds in WEKA's DataOps platform presents a critical trade-off. This scenario involves weighing the benefits of increased storage against potential performance impacts. I'll analyze this trade-off through multiple lenses, considering technical constraints, user needs, and business implications.
I'd like to outline my approach to ensure we're aligned on the key areas I'll be exploring in this analysis.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps understand the urgency and scale of the problem Expected answer: Customers requesting support for petabyte-scale datasets Impact on approach: Would influence the prioritization of capacity expansion
Why it matters: Aligns solution with business objectives Expected answer: Tiered pricing based on both capacity and performance metrics Impact on approach: Would inform potential pricing adjustments to balance the trade-off
Why it matters: Helps tailor solution to actual usage patterns Expected answer: 20% of data accounts for 80% of access requests Impact on approach: Could lead to a hybrid solution prioritizing speed for hot data
Why it matters: Determines feasibility of different solutions Expected answer: Currently using SSDs with potential for tiered storage implementation Impact on approach: Would guide the technical direction of capacity expansion
Why it matters: Assesses our ability to execute on different strategies Expected answer: 70% focused on performance, 30% on capacity Impact on approach: Might require reallocation of resources based on chosen strategy
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