OVERVIEW
GCP Optimization Dashboard
Google ADK Closed-Loop Autonomous Engine Active
Cloud Scheduler cron (0 */6 * * *) · Selective Autonomy (Tier 1 Auto-Apply / Tier 2 Human Review) · Verified Post-Apply Impact (+76.9%)
Cron: Every 6h
Est. Monthly Savings ▲ 34%
$887.97/mo
Optimized across 3 GCP projects
Annualized Projected ROI Scale
$10,655.64/yr
~4,262 kg CO₂/yr reduced
Resources Profiled ▲ 3 new
15
Cloud SQL, Run & BigQuery
Pending Proposals 3 pending
3
Ready for live patch execution
Autonomous Agent Loop Pipeline (Google ADK Engine)
Avg Latency: 142ms Engine Idle
STAGE 01
Discovery
Asset Inventory
STAGE 02
Metrics API
7-Day Profiler
STAGE 03
CWS Engine
Waste Scorer
STAGE 04
Gemini 3.5
AI Patch Gen
STAGE 05
ADK Reasoning
Runner Session
STAGE 06
Safety Check
Safety Validator
STAGE 07
GitOps Commit
Branch Isolation
Stage 1: Asset Inventory Discovery · Queries GCP Cloud Asset Inventory API to identify underutilized Cloud SQL Instances, Cloud Run services, and BigQuery tables.
Idle / Ready
Autonomous Agent Reasoning & Tradeoff Analysis (Google ADK & Gemini)
Live Supervisor Analysis
Prioritize the `agem-demo-service` optimization for immediate implementation due to its favorable risk-to-reward ratio of $25/month savings with manageable cold start impact. The `agem-demo-db` right-sizing downsizes idle db-n1-standard-2 to db-f1-micro saving $52/month. Deterministic safety validator verified zero downtime impact.
Savings & Optimization Trend (7-Day Curve)
Resource Type Wastage Share
GCP Resource Architecture & Optimization Map
Visual cloud topology profiling 15 GCP endpoints across Cloud SQL, Cloud Run, and BigQuery with real-time CWS waste score meters.
No Resource Selected
Click any GCP resource card on the left to inspect 7-day utilization, CWS waste score, and Gemini rightsizing patches.
Pending Proposals
TOTAL CUMULATIVE SAVINGS
$887.97/month
Optimization Audit History
TIMESTAMP RESOURCE ACTION GIT BRANCH ESTIMATED SAVINGS STATUS
🧭 Google ADK Agent Traces & Live Observability Live Event Stream
Chronological trace log emitted by the AGEM Supervisor Agent, Gemini 3.5 rightsizing engine, and AST Safety Validator.
🌐 API Endpoint
TIMESTAMP STAGE / STEP STATUS TRACE DETAIL & LLM REASONING
Loading live event traces...
System & Agent Control Center
Configure Google ADK autonomous agent triggers, Vertex AI LLM parameters, GitOps policies, and alert channels.
Autonomous Agent Scheduler & Triggers
0.35 / 1.0
Triggers Gemini AI patch generation when resource waste index exceeds threshold.
Vertex AI & Gemini 3.5 Configuration
GitOps Pipeline & Infrastructure Repository
Alerting Channels & Cloud Metadata
GCP Project: agem-505107 | Region: us-central1
Agent Engine: Google ADK v2.6.3 | Database: Firestore
GOOGLE ADK MULTI-AGENT EXECUTION CONSOLE 6 events
▲ Expand Live Ticker
15:40:01 ADK.SUPERVISOR Agent loop initialized. 7 autonomous optimization tools registered with Cloud Run supervisor.
15:40:02 ADK.DISCOVERY Cloud Asset Inventory queried: 3 active GCP resources indexed.
15:40:03 ADK.SCORER CWS waste scores computed: sql-prod-db CWS=0.38, auth-service-gateway CWS=0.42.
15:40:04 VERTEX.GEMINI Gemini 3.5 generated YAML rightsizing patch for sql-prod-db in 240ms.
15:40:05 ADK.SAFETY AST verification passed: 0 breaking schema changes detected. Safety score 1.0.
15:40:06 GITOPS.COMMIT Pushed patch to branch agem/auto-optimize-sql-prod-db. Enqueued for approval.