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Supported Services

Jetscale provides AI-powered cost optimization for the most critical cloud services across AWS and Azure.

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Jetscale provides AI-powered cost optimization for the most critical cloud services across AWS and Azure.

AWS Services

Amazon RDS (Relational Database Service)

Optimize database instance sizes, storage configurations, and Reserved Instance purchases.

Optimization Areas:

  • Instance class right-sizing
  • Storage type optimization (gp2 → gp3)
  • Multi-AZ configuration review
  • Reserved Instance recommendations
  • Snapshot cleanup

Learn More →

Amazon EC2 (Elastic Compute Cloud)

Right-size compute instances, identify idle resources, and optimize instance purchasing.

Optimization Areas:

  • Instance type and size recommendations
  • Idle instance detection
  • Graviton migration opportunities
  • Reserved Instance and Savings Plans
  • Stop/start scheduling

Learn More →

Amazon EBS (Elastic Block Store)

Optimize storage volumes with type recommendations and capacity adjustments.

Optimization Areas:

  • Volume type optimization (gp2 → gp3)
  • IOPS and throughput tuning
  • Snapshot lifecycle management
  • Unused volume detection
  • Cold storage migration

Learn More →

Amazon ElastiCache

Optimize Redis and Memcached clusters for cost and performance.

Optimization Areas:

  • Node type right-sizing
  • Cluster configuration
  • Reserved Node recommendations
  • Multi-AZ review
  • Eviction policy optimization

Learn More →

Amazon S3 (Simple Storage Service)

Optimize storage costs with tiering, lifecycle policies, encryption tuning, and network routing improvements.

Optimization Areas:

  • Intelligent-Tiering enablement
  • Lifecycle rule configuration (Standard → IA → Glacier → Deep Archive)
  • Bucket Key for KMS cost reduction
  • S3 Gateway Endpoints to eliminate NAT processing fees

Learn More →

Amazon EKS (Elastic Kubernetes Service)

Right-size node groups, migrate to Graviton, and optimize Spot capacity across your Kubernetes clusters.

Optimization Areas:

  • Node type right-sizing per node group
  • Graviton migration (ARM64) for 10-40% savings
  • Spot capacity for fault-tolerant workloads (60-90% savings)
  • Idle cluster and node group detection
  • Per-node-group analysis with cluster-level aggregation

Learn More →

Azure Services

Azure Virtual Machines

Right-size VMs, optimize instance types, and leverage reserved capacity.

Optimization Areas:

  • VM size recommendations
  • B-series burstable instances
  • Azure Reserved VM Instances
  • Spot instance opportunities
  • Shutdown scheduling

Learn More →

Azure SQL Database

Optimize database tiers, DTU allocation, and elastic pool configurations.

Optimization Areas:

  • Service tier recommendations
  • DTU and vCore sizing
  • Elastic pool optimization
  • Reserved capacity purchases
  • Storage optimization

Learn More →

Coming Soon

We're actively developing support for additional services:

AWS

  • AWS Lambda - Memory and timeout optimization
  • Amazon DynamoDB - Capacity mode recommendations
  • Amazon ECS - Container service right-sizing
  • Elastic Load Balancing - Load balancer type optimization
  • Amazon CloudFront - Distribution optimization

Azure

  • Azure Blob Storage - Storage tier optimization
  • Azure Functions - Plan and memory optimization
  • Azure Cosmos DB - Throughput and capacity recommendations
  • Azure Cache for Redis - Tier and capacity optimization
  • Azure Kubernetes Service - Node pool optimization
  • Azure App Service - Plan tier recommendations

How Service Analysis Works

For each supported service, Jetscale:

  1. Discovers Resources: Automatically identifies all instances across your cloud accounts
  2. Collects Metrics: Gathers historical usage data (CPU, memory, disk, network)
  3. AI Analysis: Specialized agents analyze patterns and identify optimization opportunities
  4. Validates Safety: Ensures recommendations maintain performance and availability
  5. Generates Code: Creates production-ready Terraform for implementation

Optimization Criteria

Every recommendation is validated against:

  • Performance: Maintains or improves current performance levels
  • Availability: Preserves high-availability configurations
  • Headroom: Includes buffer for traffic spikes and growth
  • Safety: Easy rollback if needed
  • ROI: Minimum 20% cost reduction threshold

Support

Questions about supported services?

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AI-Powered Analysis

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