Forecasting · Scaling · Growth Marketplace Agent

Predict the surge. Scale before it hits.

Continuously monitors resource utilization, forecasts capacity needs, and recommends scaling decisions weeks before you hit limits—preventing outages from growth and eliminating overprovisioning waste. All on your infrastructure.

6 weeks
Forecast Horizon
94%
Forecast Accuracy
Zero
Capacity Outages
📊
Capacity Planning Agent
Live forecasting
● LIVE
CPU 67%
Memory 78%
Storage 54%
DB Pool 89%
⚠️ Capacity Warning 18 days
Database Connection Pool
890/1000 • +3.2%/week • Exceeds limit Dec 25
Today
89%
+6 wks
112%
Early Warning 6 weeks ahead
YTD Outages 0 incidents

Growth surprises. Infrastructure doesn't.

Scale now or suffer later. You find out too late.

  • Black Friday. Traffic spikes 400%. Database connections exhausted. Checkout fails. Revenue bleeds. Everyone scrambles to scale—but provisioning takes 30 minutes. By then, you've lost $2M in sales.
  • Growth sneaks up on you. 3% more users each week. Barely noticeable. Until week 12 when you're suddenly at 145% of capacity and the system falls over. No one saw it coming because no one was tracking the trend.
  • Overprovisioning wastes millions. Scared of last year's outage, you provision 4x what you need. "Just in case." $800K in idle capacity. Finance is not happy. Neither is your bonus.
  • Spreadsheet planning doesn't scale. Someone maintains a capacity spreadsheet. Updated monthly. Maybe. "I think we have room for another 50K users?" Nobody actually knows.
  • Different teams, different silos. Compute team says they're fine. Database team says they're fine. Meanwhile, the connection pool between them is at 95% and about to blow. No one owns the cross-cutting view.
  • Reactive scaling isn't scaling. Auto-scale kicks in after traffic spikes. But cold starts take 2 minutes. For those 2 minutes, users see errors. By the time you're scaled, the damage is done.

"We had our biggest sales day ever. $12M in revenue potential. Database hit connection limit at 10:47 AM. Site went degraded for 23 minutes while we scrambled to increase the pool size. Post-mortem showed connections had been growing 4% weekly for 3 months. We had the data. We just weren't looking at it. Cost us approximately $1.8M in lost sales. For a number we could have seen coming 6 weeks earlier."

— CTO, D2C E-commerce Brand (Peak: 50K concurrent users)

See the future. Scale before you need to.

Deploy an AI that continuously monitors resource utilization, forecasts capacity needs weeks ahead, and recommends scaling actions—turning capacity planning from reactive firefighting into proactive engineering.

01

Continuous Monitoring

Tracks utilization across compute, memory, storage, network, and application-specific resources. Correlates usage with business metrics. Understands what drives demand.

02

Predictive Forecasting

ML models predict capacity needs 6+ weeks ahead. Accounts for growth trends, seasonality, and planned events. 94% accuracy. Know exactly when you'll hit limits.

03

Proactive Recommendations

Recommends scaling actions with lead time. Includes cost impact, risk assessment, and implementation steps. Scale ahead of demand, not after the outage.

Every resource. Every bottleneck.

🖥️

Compute

CPU utilization, instance counts, auto-scaling group headroom, container pod limits.

🧠

Memory

RAM utilization, swap usage, memory pressure, OOM risk prediction.

💾

Storage

Disk capacity, IOPS utilization, throughput limits, growth rate analysis.

🗄️

Database

Connection pools, query throughput, replication lag, buffer pool utilization.

🌐

Network

Bandwidth utilization, connection limits, NAT gateway capacity, load balancer limits.

📨

Message Queues

Queue depth, consumer lag, partition limits, throughput capacity.

🔑

API Limits

Rate limit headroom, quota utilization, third-party API budgets.

📋

Service Quotas

AWS/GCP/Azure service limits, account quotas, regional capacity.

Real limits. Predicted in advance.

Growth Prediction

Database Limit Predicted 6 Weeks Early

Database connections growing 3.2% per week. Current: 890/1000. At this rate, you'll hit the wall in 18 days. Old process: Find out during the outage.

Agent Action
📊PostgreSQL pool at 89% (890/1000)
📈Growth: +3.2%/week for 8 weeks
⚠️Exhaustion: 18 days • 94% confidence
💡Options: Increase pool / Add replica / Fix leak
Jira ticket created • Team notified
6 weeks early warning vs outage
→ Zero panic. Planned scaling.
Event Planning

Black Friday Ready 8 Weeks Early

Black Friday in 8 weeks. Last year: 4x traffic spike, 23-minute outage, $1.8M lost. This year: Capacity planned before the rush.

Agent Action
📊Projected peak: 4.5-5x baseline
API Gateway: 2.1x headroom (need 5x)
Database: 1.1x headroom (need 5x)
📅8-week scaling plan generated
Cost: $34K vs $1.8M potential loss
$1.8M outage prevented
→ 8-week runway. Zero surprises.
Right-Sizing

$340K Saved by Eliminating Overprovisioning

After last year's outage, teams over-provisioned everything. "Never again." Result: 60% of resources idle. $800K in wasted capacity.

Agent Action
🔍API: Provisioned 5x, peak usage 1.8x
🔍Redis: 6 nodes provisioned, 4 sufficient
💰17 unused Reserved Instances found
🛡️40% safety margin maintained
4-week staged rollout plan
$340K saved annually
→ Still safe. No over-provisioning fear.
Cross-Service Bottleneck

Hidden Bottleneck Found Before It Broke

Compute team says they're fine. Database team says they're fine. But the connection between them—the API gateway to database network throughput—is about to break.

Agent Action
🔗Cross-service dependency analyzed
⚠️NAT Gateway: 84% of 45 Gbps limit
📈Exhaustion: 5 weeks at current rate
🎯Root cause: New data pipeline +8 Gbps
Fix: Reschedule batch to 2-4 AM
$0 crisis averted, zero cost
→ Invisible bottleneck found. Cross-team visibility.

Everything you need for predictive capacity.

📊

Multi-Resource Tracking

Monitors compute, memory, storage, database, network, and custom metrics. Unified capacity view.

📈

Trend Analysis

Detects growth patterns, seasonality, and anomalies. Separates signal from noise.

🔮

Predictive Forecasting

6+ week forecasts with 94% accuracy. Accounts for business events and planned changes.

⚠️

Early Warnings

Alerts weeks before limits hit. Actionable warnings with time-to-exhaustion.

🔗

Dependency Mapping

Understands service dependencies. Identifies cross-system bottlenecks.

💡

Scaling Recommendations

Specific actions with lead times, costs, and risk assessments. Ready to execute.

🎯

Event Planning

Plan for traffic spikes, product launches, marketing campaigns. Historical pattern matching.

💰

Cost Optimization

Identifies over-provisioning. Right-size while maintaining safety margins.

📋

Capacity Reports

Executive summaries, team dashboards, audit-ready documentation.

Connects with your infrastructure stack.

AWS CloudWatch
GCP Monitoring
Azure Monitor
Datadog
New Relic
Prometheus
Grafana
Kubernetes
Terraform
Pulumi
PagerDuty
Slack
Jira
ServiceNow
Snowflake
BigQuery

Know exactly what you're deploying.

A clear charter, defined triggers, and agreed levels of human oversight—structured for enterprise deployment.

Agent Goal

Predict capacity limits weeks in advance, enabling proactive scaling and preventing outages from growth

Priority 1
Metrics
6+ week forecast horizon
94% forecast accuracy
Zero capacity outages
Input(s) & Output(s)

Inputs – Resource metrics (CPU, memory, storage, connections), growth trends, event calendars, historical patterns

Outputs – Capacity forecasts, early warnings, scaling recommendations, event readiness plans, optimization reports

Skills, Tools & Capabilities
  • Multi-resource utilization tracking
  • Trend analysis and growth forecasting
  • Cross-service bottleneck detection
  • Event capacity planning
  • Right-sizing recommendations
Decision Authority
Generate capacity reports and forecasts
Send early warning notifications
Create scaling recommendation tickets
Execute auto-scaling rules (requires approval)
Modify production infrastructure directly
Commit to capacity purchases
Fallback

Escalate to platform engineering when: forecast confidence below threshold, cross-service dependencies unclear, major architectural decisions required, budget approval needed, critical production changes

📋

Full Job Description

Complete specification including resource definitions, warning thresholds, and forecasting parameters.

Download .docx

What's Inside the Full Job Description

  • ◈ Agent description & purpose
  • ◈ Regulation & compliance concerns
  • ◈ Example prompt inputs & outputs
  • ◈ Full capabilities list
  • ◈ Risks & guardrails
  • ◈ Permissions & access requirements
  • ◈ Secrets & credentials
  • ◈ Integration specifications

Customize with Weaver

Connect your monitoring tools, define resource thresholds, and configure forecasting horizons for your infrastructure.

Your capacity. Your data. Your infrastructure.

🤖

Agent (One-Time)

Pay once. Own the asset. Full source code on Google ADK. Deploy, modify, extend.

🔒

Metrics Stay Yours

Utilization data, forecasts, and capacity history never leave your infrastructure.

🛡️

Annual Assurance

New forecasting models, integration updates, and resource definitions. You own agents; you subscribe to safety.

🔧

Weaver Customization

Configure warning thresholds, forecasting horizons, and safety margins for your environment.

Stop reacting to limits. Start planning for growth.

Deploy the Capacity Planning Agent on your infrastructure. 6-week forecasts. Zero surprises. Scale with confidence.

Book a Demo