7.7 KiB
7.7 KiB
id, title, category, status, canonical_id, aliases, duplicate_of, source_trust_level, confidence_score, verification_status, tags, raw_sources, last_reinforced, github_commit, tech_stack
| id | title | category | status | canonical_id | aliases | duplicate_of | source_trust_level | confidence_score | verification_status | tags | raw_sources | last_reinforced | github_commit | tech_stack | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| wiki-2026-0508-saas-플랫폼-및-인터랙티브-대시보드-개발 | SaaS 플랫폼 및 인터랙티브 대시보드 개발 | 10_Wiki/Topics | verified | self |
|
none | A | 0.85 | applied |
|
2026-05-10 | pending |
|
SaaS 플랫폼 및 인터랙티브 대시보드 개발
매 한 줄
"매 SaaS dashboard는 multi-tenant + RBAC + real-time data viz 의 합". 2026 기준 Next.js 15 (App Router, RSC) + Postgres (RLS) + Drizzle/Prisma + TanStack Query/Table + Tremor/Recharts 가 standard stack. 매 핵심 challenge 는 tenant isolation, query 성능, real-time sync.
매 핵심
매 Tenant 모델
- Pool model: 단일 DB,
tenant_idcolumn + Postgres RLS - Silo model: tenant 마다 별도 DB / schema
- Bridge model: shared services + tenant-specific schema
매 Dashboard 구성요소
- KPI cards (metric + delta + sparkline)
- Time-series charts (line, area)
- Distribution (bar, pie, treemap)
- Table (sortable, filterable, paginated)
- Filters (date range, segment, dimension)
매 응용
- B2B analytics (Mixpanel-like).
- Operations dashboard (Datadog-like).
- Admin console (Stripe-like).
- Customer portal.
💻 패턴
Postgres RLS for tenant isolation
ALTER TABLE invoices ENABLE ROW LEVEL SECURITY;
CREATE POLICY tenant_isolation ON invoices
USING (tenant_id = current_setting('app.tenant_id')::uuid);
-- 매 connection per request:
-- SET app.tenant_id = '...';
Drizzle multi-tenant query
import { drizzle } from "drizzle-orm/node-postgres";
import { eq } from "drizzle-orm";
import { invoices } from "./schema";
export async function getInvoices(db: typeof drizzle, tenantId: string) {
await db.execute(`SET app.tenant_id = '${tenantId}'`);
return db.select().from(invoices);
}
Next.js 15 RSC dashboard page
// app/(dashboard)/metrics/page.tsx
import { Suspense } from "react";
import { KpiCard } from "@/components/kpi-card";
import { RevenueChart } from "@/components/revenue-chart";
import { getMetrics } from "@/lib/data";
export default async function Page({
searchParams,
}: { searchParams: Promise<{ range?: string }> }) {
const { range = "30d" } = await searchParams;
return (
<div className="grid grid-cols-3 gap-4">
<Suspense fallback={<KpiCard.Skeleton />}>
<KpiPanel range={range} />
</Suspense>
<Suspense fallback={<RevenueChart.Skeleton />}>
<RevenuePanel range={range} />
</Suspense>
</div>
);
}
async function KpiPanel({ range }: { range: string }) {
const m = await getMetrics(range);
return <KpiCard label="MRR" value={m.mrr} delta={m.mrrDelta} />;
}
TanStack Query with WebSocket invalidation
import { useQuery, useQueryClient } from "@tanstack/react-query";
import { useEffect } from "react";
export function useLiveMetrics(tenantId: string) {
const qc = useQueryClient();
const q = useQuery({
queryKey: ["metrics", tenantId],
queryFn: () => fetch(`/api/metrics`).then((r) => r.json()),
staleTime: 30_000,
});
useEffect(() => {
const ws = new WebSocket(`/ws/${tenantId}`);
ws.onmessage = (e) => {
const ev = JSON.parse(e.data);
if (ev.type === "metrics.updated") {
qc.invalidateQueries({ queryKey: ["metrics", tenantId] });
}
};
return () => ws.close();
}, [tenantId, qc]);
return q;
}
Tremor KPI card
import { Card, Metric, Text, Flex, BadgeDelta } from "@tremor/react";
export function KpiCard({
label, value, delta,
}: { label: string; value: string; delta: number }) {
return (
<Card>
<Flex justifyContent="between" alignItems="start">
<div>
<Text>{label}</Text>
<Metric>{value}</Metric>
</div>
<BadgeDelta deltaType={delta >= 0 ? "increase" : "decrease"}>
{delta >= 0 ? "+" : ""}{delta}%
</BadgeDelta>
</Flex>
</Card>
);
}
TanStack Table virtualized
import { useReactTable, getCoreRowModel, flexRender } from "@tanstack/react-table";
import { useVirtualizer } from "@tanstack/react-virtual";
import { useRef } from "react";
export function DataTable<T>({ data, columns }: { data: T[]; columns: any }) {
const table = useReactTable({ data, columns, getCoreRowModel: getCoreRowModel() });
const ref = useRef<HTMLDivElement>(null);
const v = useVirtualizer({
count: table.getRowModel().rows.length,
getScrollElement: () => ref.current,
estimateSize: () => 40,
});
return (
<div ref={ref} className="h-[600px] overflow-auto">
<div style={{ height: v.getTotalSize() }}>
{v.getVirtualItems().map((vi) => {
const row = table.getRowModel().rows[vi.index];
return (
<div key={row.id} style={{ transform: `translateY(${vi.start}px)` }}>
{row.getVisibleCells().map((c) =>
flexRender(c.column.columnDef.cell, c.getContext())
)}
</div>
);
})}
</div>
</div>
);
}
RBAC middleware
// lib/rbac.ts
type Role = "owner" | "admin" | "member" | "viewer";
const PERMS: Record<Role, Set<string>> = {
owner: new Set(["*"]),
admin: new Set(["billing.read", "users.write", "metrics.read"]),
member: new Set(["metrics.read", "users.read"]),
viewer: new Set(["metrics.read"]),
};
export function can(role: Role, action: string): boolean {
const p = PERMS[role];
return p.has("*") || p.has(action);
}
Server Action with audit log
"use server";
import { auth } from "@/lib/auth";
import { db } from "@/lib/db";
import { auditLog, users } from "@/lib/db/schema";
export async function inviteUser(email: string) {
const session = await auth();
if (!session) throw new Error("unauth");
await db.insert(users).values({ email, tenantId: session.tenantId });
await db.insert(auditLog).values({
actor: session.userId,
action: "user.invited",
target: email,
tenantId: session.tenantId,
});
}
매 결정 기준
| 상황 | Approach |
|---|---|
| <100 tenants | Pool + RLS |
| Compliance heavy (HIPAA) | Silo (per-tenant DB) |
| Heavy analytics | Pool + ClickHouse for aggregates |
| Real-time updates | WebSocket + TanStack Query invalidation |
| Charts | Tremor (out-of-box) / Recharts (custom) |
기본값: Next.js 15 RSC + Postgres+RLS + Drizzle + TanStack Query + Tremor.
🔗 Graph
- 부모: Multi-Tenant Architecture · B2B SaaS
- 변형: Embedded Analytics · Customer Portals
- 응용: Stripe Dashboard · Mixpanel · Datadog
- Adjacent: RBAC · Postgres RLS · Tremor · TanStack Query
🤖 LLM 활용
언제: B2B analytics product, ops dashboard, admin console scaffold. 매 multi-tenant 모델 결정. 언제 X: Internal-only single-tenant tool (overkill). 매 marketing site.
❌ 안티패턴
- No tenant isolation: 매 RLS 또는 query-level scope 필수.
- Client-only filters: 100k row 를 client 로 보내고 filter → 매 server-side filter+pagination.
- Polling instead of WS: 5s interval polling → WebSocket / SSE.
- Charting heavyweight: Plotly for simple line chart → 매 Tremor / Recharts.
- Forgotten audit log: 매 sensitive action 은 immutable log.
🧪 검증 / 중복
- Verified (Vercel SaaS templates, Stripe / Linear engineering blogs, 2026).
- 신뢰도 A.
🕓 Changelog
| 날짜 | 변경 |
|---|---|
| 2026-05-08 | Phase 1 |
| 2026-05-10 | Manual cleanup — SaaS dashboard development full content |