Hi Team, thanks for joining.
The purpose of this call is to align on possible cost-optimization opportunities for Emerging DB and see what can be considered for Q3 objectives.
We are not trying to finalize everything today, but we should identify potential areas, understand feasibility, impact, effort, and any dependencies.
I’ll first request [PO Name] to share the expectation/business objective, and then we can go through inputs from the engineering side.
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Ask PO:
“[PO Name], could you please share what outcome you are expecting from the cost-optimization objective for Q3?”
Also ask:
“Are we focusing mainly on lower environment cost, unused resources, SKU optimization, policy controls, or overall product cost?”
2. Ask engineers for ideas
Say:
“From engineering side, let’s discuss where we see cost-saving opportunities.”
Prompt them with examples:
“Do we see opportunities around SKU downgrade, autoscale restriction, HA/geo-replica restriction, persistence removal, unused resources, policy controls, or migration from higher-cost services?”
3. For each idea, ask these questions
“What is the current cost concern?”
“Which product and environment is impacted?”
“What change are we proposing?”
“What is the expected saving or benefit?”
“Any risk or user impact?”
“Is this policy, configuration change, analysis, or implementation?”
“Can this be taken in Q3, or does it need more refinement?”
4. Categorize items during the call
Use simple buckets:
“Let’s classify this as: Ready for Q3, Needs Analysis, Dependency/Blocked, or Parked.”
5. Close the call
Say:
“Thanks Team. I’ll summarize the discussed cost-optimization ideas with product, impact, feasibility, owner/context, and next step. For valid Q3 candidates, we can create or refine GitLab items and align with PO for priority.”
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Alright , I will come to ___ next
Alright, moving on to the next topic
Got it, I’ll capture that. Any other input before we move to the next item?
Clear, we’ll proceed with that direction
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