VIOSCo-CreateDatabricksML Model Serving Platform
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ML Model Serving Platform

Deploy and serve VIOS ML models via MLflow and Mosaic AI on Databricks. Provide low-latency inference endpoints with A/B testing, automatic scaling, and model performance monitoring for all VIOS scoring and prediction models.

Due: July 11, 2026Last: 3h ago
Modules
Module Progress1/5
Done (1)Active (1)Pending (3)
Integrations
DB
DatabricksMLflow · Mosaic AI · Unity Catalog
2m ago
GC
Google CloudVertex AI, Cloud Run, GKE
3m ago
GH
GitHubwipro-vios/ml-serving · 22 commits
1m ago
DD
DatadogAPM, ML metrics, Logs
30s ago
App.jsModel Registry
1<kw>import</kw> React, { useState } <kw>from</kw> "react";
2
3<kw>const</kw> vendors = [
4 { name: "TCS", risk: 93, delivery: 95, compliance: 98 },
5 { name: "Accenture Federal", risk: 87, delivery: 84, compliance: 92 },
6 { name: "Wipro HOLMES", risk: 78, delivery: 82, compliance: 75 },
7 { name: "Infosys BPM", risk: 71, delivery: 68, compliance: 74 },
8 { name: "Cognizant", risk: 55, delivery: 52, compliance: 61 },
9];
10
11<kw>function</kw> Bar({ value }) {
12 <kw>return</kw> (
13 <div style={{ display: "flex", alignItems: "center", gap: 8 }}>
14 <div style={{ width: 100, height: 5, background: "rgba(255,255,255,0.08)", borderRadius: 3 }}>
15 <div style={{ width: value + "%", height: "100%", background: value > 80 ? "rgba(255,255,255,0.4)" : "rgba(255,255,255,0.2)", borderRadius: 3, transition: "width 0.3s" }} />
16 </div>
17 <span style={{ fontSize: 11, fontFamily: "monospace", color: "rgba(255,255,255,0.5)" }}>{value}</span>
18 </div>
19 );
20}
21
22<kw>export</kw> <kw>default</kw> <kw>function</kw> App() {
23 <kw>const</kw> [selected, setSelected] = useState(null);
24 <kw>return</kw> (
25 <div style={{ padding: 20, background: "#0a0914", minHeight: "100vh", color: "white", fontFamily: "system-ui, sans-serif" }}>
26 <h2 style={{ fontSize: 16, fontWeight: 600, color: "rgba(255,255,255,0.85)", margin: 0 }}>Vendor Risk Dashboard</h2>
27 <p style={{ fontSize: 11, color: "rgba(255,255,255,0.35)", marginTop: 4, marginBottom: 16 }}>Click a vendor to see details</p>
28 <table style={{ width: "100%", borderCollapse: "collapse" }}>
29 <thead>
30 <tr style={{ borderBottom: "1px solid rgba(255,255,255,0.08)" }}>
31 {["Vendor", "Risk", "Delivery", "Compliance"].map(h => (
32 <th key={h} style={{ textAlign: "left", padding: "6px 0", fontSize: 10, color: "rgba(255,255,255,0.3)", fontWeight: 500 }}>{h}</th>
33 ))}
34 </tr>
35 </thead>
36 <tbody>
37 {vendors.map(v => (
38 <tr key={v.name} onClick={() => setSelected(v.name === selected ? null : v.name)} style={{ borderBottom: "1px solid rgba(255,255,255,0.04)", cursor: "pointer", background: v.name === selected ? "rgba(255,255,255,0.03)" : "transparent" }}>
39 <td style={{ padding: "8px 0", fontSize: 12, color: "rgba(255,255,255,0.7)" }}>{v.name}</td>
40 <td style={{ padding: "8px 0" }}><Bar value={v.risk} /></td>
41 <td style={{ padding: "8px 0" }}><Bar value={v.delivery} /></td>
42 <td style={{ padding: "8px 0" }}><Bar value={v.compliance} /></td>
43 </tr>
44 ))}
45 </tbody>
46 </table>
47 {selected && (
48 <div style={{ marginTop: 16, padding: 12, background: "rgba(255,255,255,0.02)", border: "1px solid rgba(255,255,255,0.06)", borderRadius: 8 }}>
49 <p style={{ fontSize: 13, color: "rgba(255,255,255,0.7)", margin: 0 }}>{selected} — Detail View</p>
50 <p style={{ fontSize: 11, color: "rgba(255,255,255,0.35)", marginTop: 4 }}>Risk factors, SLA history, and contract status would render here.</p>
51 </div>
52 )}
53 </div>
54 );
55}
Previewlocalhost:3000

Vendor Risk Dashboard

Click a vendor to see details

VendorRiskDeliveryCompliance
TCS
93
95
98
Accenture Federal
87
84
92
Wipro HOLMES
78
82
75
Infosys BPM
71
68
74
Cognizant
55
52
61
Team (4)
NS
Neha SharmaWipro
Reviewing: serving architectureViewing: Preview tab
JL
Jason LeeDatabricks
Editing: model-server.tsViewing: Preview tab
RM
Rachel MooreDatabricks
Viewing: MLflow registry docs
AD
Amit DasWipro
Last: serving-config.ts
Comments (2)
NSNeha Sharma3h agoArchitecture

Model registry is live. We need to define the versioning strategy for champion/challenger models before building the serving layer.

JLJason Lee2h agoProposal

Agreed. Proposing semantic versioning with MLflow model aliases: 'champion' and 'challenger' tags per model name. Draft in the serving config.

serving-config.ts:18
Code
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