Form cover
Page 1 of 1

Where does your infrastructure spend leak — and why? (5–7 min survey)

We combine architecture + telemetry + billing for cloud and on-prem in one UI: an interactive Canvas (drag/connect services, click routes, see cost & metrics directly on the diagram) → overspend highlighting, recommendations, $/route, and Before/After in $.

Deployment: cloud or in your perimeter. The survey is anonymous.

(You can leave your contact information below for a demo)

1. Your role?

1. Your role?

2. Company size (employees)?

2. Company size (employees)?

3. Where do your core workloads run?

3. Where do your core workloads run?
1
2
3
4
5
6
7
8
9
10
11
12
13
14

4. How painful are these (0 = not a problem, 5 = very painful)?

(We track KPIs like $/route and before/after impact in dollars)
Unpredictable infrastructure spend
Surprise egress/NAT costs
K8s/VM/DB overprovisioning (idle resources)
Expensive observability (logs/traces/APM)
Retry storms/timeouts; expensive request chains
Config drift (as-built ≠ as-designed / IaC)
Slow change approvals / change management (CAB) (takes too long to ship changes)
Hard to attribute $ to specific services/routes (cost attribution)
Idle environments wasting capacity (staging/dev/test) (cloud + on-prem)
Licenses and support costs higher than expected (VMware, DB, observability, etc.) (often on-prem + cloud)
CI/CD cost (runner clusters, artifacts, test databases) is higher than expected (cloud + on-prem)

5. For each set, pick the MOST valuable and LEAST valuable item

5. For each set, pick the MOST valuable and LEAST valuable item
1
1
1
1
1
1
1
1
1
1
1
1

6. Monthly price for the platform (excluding pass-through cloud spend)

Enter a number in USD per month. Numbers only (no ‘k’, no commas)

7. Assume the package includes:
BI (cost analytics): $/route, driver breakdown (compute/network/database/observability), traffic cost map (NAT/egress/inter-AZ), and before/after impact in $

We estimate the cost of specific routes/services and quantify change impact in dollars
Would you buy at $1,000/month?

8. What matters most to optimize in your on-prem / internal environment?

8. What matters most to optimize in your on-prem / internal environment?
1
1
1
1
1
1
1

9. Would you install our on-prem agents/connectors?

9. Would you install our on-prem agents/connectors?

10. What data could you realistically provide (even aggregated)?

10. What data could you realistically provide (even aggregated)?
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18

11. Which pilot format is most feasible?

Pilot = a short engagement to validate value (savings/performance) with clear before/after evidence
11. Which pilot format is most feasible?

12. How would you measure success?

12. How would you measure success?
1
2
3
4
5
6

13. Would you consider a success fee on verified savings?

13. Would you consider a success fee on verified savings?

14. Open-ended: Describe your last cost or performance “surprise” (1–3 sentences)

15. Mini-case #1 (cloud):
“Spend suddenly increased; suspected NAT/egress/logs”
What do you do first?

15. Mini-case #1 (cloud): “Spend suddenly increased; suspected NAT/egress/logs” What do you do first?

15.1. How long does it usually take to find the root cause?

15.1. How long does it usually take to find the root cause?

15.2. What is hardest?

15.2. What is hardest?
1
2
3
4
5
6

16. Mini-case #2 (on-prem):
“CI runners + idle envs + artifacts keep growing and consume resources.”
What do you actually do today?

16. Mini-case #2 (on-prem): “CI runners + idle envs + artifacts keep growing and consume resources.” What do you actually do today?
1
2
3
4
5
6

Leave your contact details (if you’d like a demo or follow-up)

Your name and company (how should we address you?)