AKEYLESS · ENGINEERING
Executive
Cloud Cost as % of Revenue
Total cloud spend (AWS + GCP + Azure) as a share of trailing-12-month revenue. TTM cloud ÷ TTM revenue. B2B SaaS benchmark: 8–15% is healthy.
ttm_cloud_spend / ttm_revenue
CLOUD COST
% OF REVENUE
% OF REVENUE
—%
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Hiring Risk
Business Impact Risk
Open engineering roles mapped to roadmap and production exposure. Roadmap coverage = initiatives still on-track despite gaps. Source: Comeet ATS.
MEDIUM RISK
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Open Critical Roles
—%
Roadmap Coverage
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Blocking Roadmap
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Production Risk
View impacted initiatives →
Customer Escalations
Issues escalated to engineering by CS this month. Direct signal of product quality as experienced by customers.
labels = "CS-Escalation"
CUSTOMER
ESCALATIONS
ESCALATIONS
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Severity Trend
Incident Severity Trend
Monthly count of production incidents by priority over the trailing 12 months, sourced live from Opsgenie. P1 = customer-facing, P2 = major degradation, P3 = minor impact.
→ flat
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Release Success
Release Success Rate
% of Deploy-Production-Pipeline runs (akeyless-main-repo) in the last 30 days that did not cause a P1 within 1 hour. Target: 95%. Source: GitHub Actions + Opsgenie.
BELOW TARGET
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%
Success Rate MTD
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View release history →
Quality Health
Quality Health
Open Bug-Field issues (High+Highest) from Jira ASM project. Test pass rate from Deploy-Web-Services-Pipeline staging runs. Security product thresholds: ≥95% pass, 0 Highest bugs, ≤3 High bugs = On Track.
AT RISK
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Open High-Priority Bugs
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%
staging pass rate
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View quality breakdown →
Cloud Cost
Cloud Spend
Total MTD spend across AWS, GCP, and Azure. Click to drill into tenant attribution.
sum(AWS + GCP + Azure)
Last 12 months · AWS + GCP + Azure
× Back to TTM
2 anomalies detected
12-Month Total
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$ / Customer
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% of Revenue
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AWS
Amazon
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GCP
Google
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AZR
Azure
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Monthly Trend
AWS
GCP
Azure
12-MONTH RUN RATE · loading…
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