Getting Started with Jetscale

Start saving on cloud costs in 5 minutes

Overview

Jetscale is a SaaS platform that automatically discovers cost-saving opportunities in your cloud infrastructure. This guide will walk you through connecting your first cloud account and reviewing your first recommendations.

Time to first savings: 5 minutes ⏱️

Step 1: Sign Up for Jetscale

Create Your Account:

1. Visit app.jetscale.ai/signup
2. Enter your email and create a password
3. Verify your email address
4. Complete your profile (company name, role)

Free Trial:

• Full platform access
• Up to $10,000 in identified savings
• No credit card required
• Cancel anytime

Step 2: Connect Your Cloud Account

Choose your cloud provider and follow the setup guide:

AWS (5 minutes)

Quick Steps:

1. Log in to your AWS account
2. Create a cross-account IAM role for Jetscale
3. Copy the Role ARN and External ID
4. Paste into Jetscale dashboard
5. Click "Connect" and verify access

Detailed AWS Setup Guide →

Permissions: Read-only access to EC2, RDS, EBS, ElastiCache, Cost Explorer

Azure (5 minutes)

Quick Steps:

1. Log in to Azure portal
2. Create a Service Principal for Jetscale
3. Assign Reader role to your subscription
4. Copy Tenant ID, Subscription ID, and credentials
5. Paste into Jetscale dashboard
6. Click "Connect" and verify access

Detailed Azure Setup Guide →

Permissions: Read-only access to Virtual Machines, SQL, Disks, Cache, Cost Management

Step 3: Wait for Discovery (2-5 minutes)

What's Happening:

• Jetscale scans all regions in your account
• Catalogs compute, database, storage, and caching resources
• Pulls historical usage metrics from CloudWatch/Azure Monitor
• AI analyzes usage patterns and identifies opportunities

Progress indicators:

• Discovering resources → Finding all cloud resources
• Analyzing usage → Collecting historical metrics
• Generating recommendations → AI validation in progress
• Ready → Recommendations available for review

Step 4: Review Recommendations

Dashboard Overview:

You'll see recommendations organized by:

• Potential savings (highest to lowest)
• Risk level (Low, Medium, High)
• Resource type (EC2, RDS, EBS, etc.)

Recommendation Card:

Each card shows:

• Resource name and type
• Estimated monthly savings
• Risk level with color coding
• Quick summary of the change

Clicking "View Details" shows:

• Historical usage charts (CPU, memory, network)
• Current vs recommended configuration
• Detailed savings calculation
• Performance impact assessment
• Implementation steps and rollback instructions

Step 5: Approve Recommendations

Select Recommendations:

1. Review low-risk recommendations first (green badges)
2. Check usage charts to validate AI analysis
3. Select recommendations you want to implement
4. Click "Approve Selected" button

Bulk Approval:

• Use filters to find specific types (e.g., "EC2 right-sizing")
• Select multiple recommendations at once
• Preview combined monthly savings
• Approve batch deployment

Step 6: Deploy Changes

Choose Your Integration:

Option 1: GitHub Pull Request (Recommended)

Setup (one-time):

1. Connect your GitHub account in Settings
2. Select target repository for Terraform code
3. Configure branch name and reviewers

Deployment:

1. Jetscale creates a new branch
2. Commits Terraform code for approved recommendations
3. Opens pull request with full documentation
4. Your team reviews and approves
5. Merge PR and apply Terraform changes

GitHub Integration Guide →

Option 2: Bitbucket Pull Request

Same workflow as GitHub, but for Bitbucket repositories.

Bitbucket Integration Guide →

Option 3: Manual Download

Download Terraform files:

1. Click "Download Terraform" button
2. Receive ZIP file with all configurations
3. Extract and review files locally
4. Apply using your existing Terraform workflow

# Example manual deployment
unzip jetscale-recommendations.zip
cd jetscale-recommendations/
terraform init
terraform plan
terraform apply

Step 7: Track Savings

Savings Dashboard:

After deployment, monitor:

• Actual savings vs projected savings
• Cumulative savings over time
• Performance metrics post-change
• ROI calculations for executive reporting

Continuous Discovery:

• Jetscale scans daily for new opportunities
• Alerts when high-value recommendations appear
• Tracks usage trends to identify growing waste
• Suggests optimizations as your infrastructure evolves

Integrations (Optional)

Jira Integration

Automatic ticket creation:

• Creates Jira tickets for each recommendation batch
• Tracks savings and implementation status
• Links to pull requests and Jetscale dashboard
• Updates status when PRs are merged

Jira Integration Guide →

Slack Integration

Real-time notifications:

• New recommendations available
• Savings milestones reached
• Deployment status updates
• Weekly summary reports

Slack Integration Guide →

Team Setup (Optional)

Invite Team Members:

1. Go to Settings → Team
2. Click "Invite Member"
3. Enter email and select role:
   • Admin: Full access, can approve recommendations
   • Editor: Can review and approve recommendations
   • Viewer: Read-only access to dashboard

Role Permissions:

Settings & Preferences

Customize Jetscale:

Notification Settings:

• Email frequency (daily, weekly, monthly)
• Slack channel for notifications
• Savings threshold for alerts ($100, $500, $1000)

Risk Tolerance:

• Conservative: Only show low-risk recommendations
• Balanced: Show low and medium-risk (default)
• Aggressive: Show all recommendations including high-risk

Approval Workflow:

• Manual approval: Review each recommendation individually
• Auto-approve low-risk: Automatically approve recommendations < $100/month
• Custom rules: Define approval criteria (e.g., "auto-approve EC2 right-sizing")

Exclusions:

• Exclude specific resources by tag (e.g., "JetscaleIgnore=true")
• Exclude resource types (e.g., "never touch production RDS")
• Exclude entire accounts or regions

Best Practices

Start with Low-Risk Recommendations

Week 1: Approve low-risk, high-savings recommendations:

• Storage optimization (gp2→gp3 migrations)
• Cleanup unused snapshots and volumes
• Right-size obviously over-provisioned resources

Week 2-4: Expand to medium-risk recommendations:

• EC2 instance right-sizing with proper headroom
• Reserved Instance purchases for stable workloads
• Database instance optimization

Month 2+: Consider higher-risk optimizations:

• Graviton migrations (requires testing)
• Scheduled shutdown of non-production resources
• Auto Scaling Group optimizations

Test in Non-Production First

Safe rollout strategy:

1. Test recommendations in dev/staging environments first
2. Monitor performance for 1-2 weeks
3. Apply same optimizations to production
4. Gradually expand to more resource types

Monitor Performance Post-Deployment

Key metrics to watch:

• CPU and memory utilization (should stay below 80%)
• Response times and latency (should remain stable)
• Error rates (should not increase)
• Application logs (watch for resource constraints)

If issues arise:

• Rollback using provided Terraform instructions
• Contact support: support@jetscale.ai
• Jetscale tracks outcomes to improve future recommendations

Common Questions

How long until I see savings?

Immediate savings:

• Storage optimizations apply within hours
• Instance right-sizing takes 5-10 minutes (create-before-destroy)

Savings on next bill:

• Most optimizations reduce your next monthly bill
• Reserved Instances show savings immediately after purchase

What if I don't like a recommendation?

You're in control:

• Reject any recommendation (won't be shown again)
• Defer recommendations for later review
• Provide feedback to improve future suggestions

Can I undo changes?

Yes, easily:

• All Terraform code includes rollback instructions
• Most changes can be reverted in-place
• Jetscale provides step-by-step rollback guides
• Support team available to assist

How accurate are savings estimates?

Very accurate:

• 98% accuracy within ±5% variance
• Based on historical actual usage data
• Includes all cost factors (compute, storage, data transfer)
• Accounts for Reserved Instance credits

Need Help?

Support Channels:

• Email: support@jetscale.ai
• Live Chat: Available in dashboard (bottom-right corner)
• Documentation: docs.jetscale.ai
• Schedule Demo: jetscale.ai/demo

Response Times:

• Free Trial: 24-hour response
• Pro Plan: 8-hour response
• Enterprise: 2-hour response with dedicated support

Next Steps

Learn More:

• How Jetscale Works - Deep dive into the platform
• AI Analysis - How our AI validates safety
• Supported Services - What Jetscale optimizes
• FAQ - Common questions answered

Ready to save?

• Start Free Trial →
• Schedule Demo →

Last Updated: January 29, 2025