Platform guidance that landed this week contains one brutally useful idea: stop automating whatever is easiest and start automating the workflow that costs your teams the most in queue time. That single change — measuring and prioritizing by queue time rather than just activity time — will expose where your IDP actually moves the needle.
Why queue time beats activity time
Activity time (how long a job runs, how long an engineer spends clicking) is what automation teams have historically instrumented because it's easy to measure. Queue time (how long a request waits before anyone or anything works on it) is the real developer pain — and the real cost. A 10-minute manual task that happens daily is cheaper than a 6-hour approval queue that blocks multiple deploys a week. Prioritize the latter.
Concretely: treat cost as a product of wait and frequency. The platform metric you should compute is simple:
cost_score = average_queue_time_seconds * frequency_per_week
Rank recurring requests by cost_score, pick the top one, and build a golden-path self-service pipeline for it. This is not incremental automation theatre; it’s focused product thinking applied to platform work.
Make the portal the audit surface
The guidance also demands an always-on, fully automated audit trail surfaced in the platform portal. That means every self-service action — who requested it, which template or policy ran, which secrets were injected, what infra was changed, and the post-change impact — should be queryable and linkable from the portal UI. Not a CSV export every quarter. Real-time, searchable, and tied to the entity model of your IDP.
Two technical constraints you'll run into immediately:
- You need deterministic timestamps at request creation, processing start, and completion. Capture them at the portal boundary, not inside ad-hoc scripts.
- Audit storage must be tamper-evident and queryable for the lifetime of the app. Use append-only event records with object identifiers, or an event stream like Kafka, or an append-only analytics store such as ClickHouse, and apply retention rules tied to your compliance categories.
This is the right call. A portal that shows who did what and when is how you prevent platform folk from becoming the nightly “we’ll fix it tomorrow” service desk. It also surfaces opportunity: when you can see thousands of identical ticket requests piling up, the ROI for a self-service pipeline becomes unarguable.
How to start: practical steps for IDPs
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Instrument queue time first. Add timestamps at request creation, queue-enter, queue-exit, and run-start. Implement a small event schema and ship it to your observability pipeline alongside The Four Keys metrics. The Four Keys still matters for deployment frequency, lead time for changes, change failure rate, and MTTR, but it won’t highlight backlog drag without this extra dimension.
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Compute cost_score and prioritize. Frequency * average_queue_time exposes the top targets for automation. Don’t be seduced by easy wins.
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Build the self-service golden path. Template the end-to-end flow — validation, policy checks, approvals-as-code, runtime execution — and expose it in the portal as a one-click flow. Keep the first iteration minimal but complete: no manual handoffs.
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Surface audit trails in the portal. Developers and auditors must be able to trace a request from the portal card to the event stream and the eventual infra change. Link to logs, diffs, and policy evaluation results.
This is overdue, and it will bite teams who treat platform work as feature work without product priorities. If your IDP still measures only run-time and click-time, you’re optimizing the wrong metric and will spend months automating low-impact chores.
Two quick links if you want to move faster: the Four Keys repo is still useful for DORA-style signals, but add queue-time events to its model, and if you run Backstage as your portal, its catalog+scaffolder pattern is the right place to surface these workflows. See Backstage: automated software catalogs and scorecards for measurable IDPs and Google Cloud's research on IDPs improving DORA metrics for complementary evidence.
Final thought: platforms that win won’t be the ones with the fanciest tooling but the ones that can prove they cut queue time for delivery teams. Build the telemetry, prioritize by cost, and make the portal the single source of action and audit. Do that and your platform team stops being a bottleneck and starts becoming a product people ask to buy into.