Control

Control collapses a wall of Postgres charts into one status per database (serving, near limit, down, unreachable), which removes the threshold-tuning hours that usually eat an agency's monitoring margin. At $99/mo for up to 5 clusters and $349/mo for up to 20, an agency can bundle fleet visibility into a client retainer while paying a flat per-cluster cost. The catch is branding: no white-label option exists, so Control works as back-office infrastructure or a co-branded service, not a fully branded product.

Control's pricing is a ladder keyed to cluster count, and agencies should price client engagements against the rung they actually occupy. The Free tier covers 1 cluster, 2 endpoints and 3 watched tables with 7 days of history, which is enough to prove value on a single client database before any invoice changes hands. Small at $99/mo lifts you to 5 clusters, 25 watched tables each and 31 days of history, so a five-client book of single-cluster accounts fits one subscription. Medium at $349/mo reaches 20 clusters, and the top tier runs to $749/mo. The framework: count client clusters first, map that count to a rung, then set the monitoring retainer above the subscription cost. An agency watching 18 client databases on Medium at $349/mo can bill a $399/mo Control Starter Watch per client and keep the spread, while the single status per database (serving, near limit, down, unreachable) keeps delivery hours near 2h/mo.

Incident Visibility Asymmetry is the gap between what an agency knows about third-party outages and what its clients perceive. When a SaaS vendor fails, clients often notice before the agency does, eroding trust and triggering SLA penalties. This framework urges agencies to close that gap by proactively monitoring vendor health, turning incident awareness into a client-facing risk shield. For example, a single upstream outage can silently break deliverables; tools like OutageDeck aggregate status pages across 172+ vendors, giving a single pane of glass. Meanwhile, Argonix automates remediation across 800+ tools, reducing mean time to resolution. QueueForge adds queue-level visibility for message failures. By adopting such monitoring, agencies detect incidents before clients do, differentiating themselves from reactive competitors. However, over-alerting can desensitize ops teams, so balance is key.

Alert Budget Allocation treats every notification an agency sends as a withdrawal from a finite pool of client and operator attention. The framework asks two questions before any monitoring layer goes live: who receives this signal, and what action does it trigger? OutageDeck re-reads 172+ vendor status feeds roughly every 10 minutes, which is useful coverage but also a volume problem if every flicker pages someone. The Standup takes the opposite tack, compressing releases, CVEs, outages, and breaking changes into one daily digest so a retainer team reviews a batch instead of reacting to a stream. Agencies that allocate alert budget deliberately, routing vendor-level noise to a digest and reserving paging for incidents that touch live client deliverables, keep trust intact. Those that skip the allocation step train clients to ignore warnings, and the first real outage lands unread.

Adopt Control once your client Postgres fleet crosses five clusters and route the $99 to $349/mo tier cost into a named monitoring retainer line before signing the next database client.

Size the alert budget per client before you promise proactive monitoring, and route only incidents that map to a named deliverable or SLA clause.

If your agency runs 5 or more client Postgres clusters and wants one status per database instead of a chart wall, start on Control Small at $99/mo (5 clusters, 5 endpoints, 25 watched tables each, 31 days of history) and move to Medium at $349/mo only when cluster count passes 5. If you manage 1-2 clusters and only need uptime visibility, the Free tier (1 cluster, 2 endpoints, 3 watched tables, 7 days of history) is enough to validate the dbhealth agent before any retainer line item exists.

Stand up Control across a client's Postgres fleet so every database reports one status (serving, near limit, down, unreachable) and Slack alerts fire on the transitions that matter, then package it as a monthly monitoring retainer.