Idea Summary
Introduce an integrated tool in Oracle APEX Builder for automated performance tuning and continuous monitoring. It detects costly patterns (e.g., high max_row_count queries, unindexed table growth, heavy Ajax processes), suggests fixes (pagination, materialized views, partitioning, indexes, caching), and provides real-time telemetry on latency, resource usage, and sessions. The goal is to cut response times, boost scalability, and improve governance.

Problem

• Developers need to manually analyze multiple sources (AWR/ASH, logs, APEX Advisor) to identify performance bottlenecks.
• Reports and interactive grids often use max_row_count with excessive row retrieval, causing load on DB and network.
• Poor database design (missing indexes/partitions, frequent full table scans) degrades performance.
• High-consumption processes, callbacks, or Ajax calls remain hidden until saturation occurs.
• Runtime sometimes executes redundant conditions/validations, lacking internal metadata caching.

Objectives

• Automatically detect bottlenecks and anti-patterns.
• Recommend prioritized fixes with estimated impact.
• Provide monitoring dashboards for live and historical performance.
• Support governance with SLOs, alerts, and executive reporting.

Scope

• Covers all regions (IR/IG, Classic Reports, Charts, Cards, Faceted Search), processes (PL/SQL, Ajax, REST), LOVs, and runtime assets.
• Includes both SQL/DB layer and APEX runtime components (rendering, validations, conditions, dynamic actions).

Use Case
 

1. Slow Interactive Reports/Grids at Peak Hours: IR/IG pages frequently hit high max_row_count and show long p95 render times. Suite flags the pages, shows offending SQL and full table scans, and recommends strict pagination + MV or index.
2. Runaway Ajax on Search-as-You-Type: A text filter triggers many Ajax refreshes without debounce. Suite detects bursty calls, quantifies extra CPU/DB time, and offers a Quick Fix to add debounce/throttle and cap payload size.
3. Hidden Hotspots in Page Processes/Callbacks: A page “Save” process occasionally spikes to multi-second p99. Profiler surfaces the PL/SQL block, shows bind sizes and plan, and suggests batching or refactoring.
4. Tables Growing without Partitions/Indexes: Monthly growth makes reports degrade over time. Database Assistant alerts on growth trend + FTS, proposes partitioning and composite/functional indexes with sample DDL.
5. Governance & SLO Breaches: Execs require p95 < 500 ms for core pages. Dashboard shows SLO status, emits alerts on breach, and links to the exact bottleneck (region/process/SQL).

Preferred Solution (Optional)
Goal: Provide a first-class, integrated Tuning & Monitoring experience in APEX that automatically detects bottlenecks, recommends fixes with impact estimates, and validates improvements via live telemetry—without breaking existing apps.

• Built-in Suite in Builder: New Performance section: Scan → Findings → Fixes → Live Metrics.
• Automated Scans & Rules: Detect high max_row_count, repeated FTS, missing/ineffective indexes, unpartitioned growth, redundant conditions/validations, excessive DA triggers, large binds, and heavy Ajax processes.
• Actionable Recommendations (Quick Fix): One-click apply: strict pagination, required filters, MV binding, index/partition suggestions, debounce/throttle, enable caching (LOV/region/REST), and payload limits.
• Profiler & Telemetry: Per region/process metrics (avg/p95/p99, rows/bytes, plan hash).Dev Toolbar mini-panel + APEX views for historical trends and SLO tracking.
• Governance: Define SLOs per app/page, thresholds for alerts, exportable reports (PDF/CSV), and change logs for applied fixes.
• Safe Rollout: Opt-in per app/workspace; scan-only mode first; configurable sampling to cap overhead.