dolabra platform control plane
security architecture platform brief release notes
env

platform control plane

okta sign-in required. status is read-scoped; kill and force-fail are act-scoped and always audited as you.

dolabra platform — ingenium, auspex and atrium

what needs you right now

failures
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jira · needs human
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open bot prs
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snapshot
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board refreshes every 60s

jira & bot prs

live from jira + github

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failures

agents + prod dags · last 7d

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auspex · atrium

agents & mcps

the ai agent tier (auspex) and the mcps exposed through the platform front end (atrium), with what each costs to run — modal compute and llm spend, last 3 full months plus this month. a service name opens its github readme.

deeper vendor spend and developer activity reports ↗
reviewer bot · prs handled
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maintenance bot · prs handled
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fleet

cp_* fan-out · fail-soft · “–” no identity mapped · “$0” mapped, zero spend
servicegroupstatusin flightneeds humanmodal $ · 3mollm $ · 3mocontrols

ingenium

prod data pipelines

the operating and delivery platform the agents depend on — every prod astronomer deployment, its dags, and whether anything failed this week. leverages dbt and python. a deployment name opens that partner’s data-pipelines readme.

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spend · trended

ai spend · last 12 months

monthly ai spend by source from dolabra_data_pipelines snowflake — cursor, claude api, claude subscription, and the total across all three.

ai spend by month

usd · claude subscription = stated vendor cost

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spend · trended

selective infra spend · last 12 months

monthly platform spend — modal compute and github (metered), astronomer, snowflake, and okta (stated vendor cost until metered feeds land), and the total across all five.

infra spend by month

usd · modal + github = metered, pre-credit · astronomer + snowflake + okta = stated

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spend · trended

Total All Tech Vendor Spend

24 months from the vendor catalog (fct_vendor_costs), latest snapshot per vendor: last 12 months at current billed (cur_cost_per_month_usd), next 12 months at projected catalog spend (cost_per_month_usd), blending over the first 3 projected months.

total all tech vendor spend

usd · 12 mo current → 12 mo projected

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status is observability only — links out to modal · github · airflow. costs come from snowflake vendors_and_costs; the shared dolabra-ai-bot@ cursor seat is never split across agents. dag failures = failed dagruns last 7d + last-run state; import errors not yet surfaced. times shown in pacific.

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