Instance & ScaleGroup Optimization

Optimize cloud infrastructure costs and performance across AWS, Azure, Google and Oracle Cloud

Kubex Cloud Resource Optimizer continuously analyzes cloud workloads, identifies waste, and recommends right-sizing actions across AWS, Azure, and Google Cloud and OCI environments. The platform helps SREs, Platform Engineering teams, Cloud Architects, and FinOps practitioners maximize utilization while maintaining operational reliability.

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Kubex Collects and Analyzes

Cloud Provider	Service Type
AWS	EC2, RDS, ASG
Azure	VM, ScaleSet
GCP	Compute Instance
OCI	VM

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Why Cloud Optimization Matters

Cloud environments often suffer from:

• Overprovisioned compute resources
• Underutilized instances
• Excessive cloud spend
• Performance bottlenecks caused by poor sizing decisions
• Manual optimization processes that don’t scale

Kubex helps organizations continuously align resource allocation with real workload demand, reducing waste while maintaining application performance.

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Key Benefits

Lower Cloud Costs

Identify and eliminate unnecessary infrastructure spend through intelligent rightsizing recommendations and automated optimization workflows.

Improve Resource Efficiency

Analyze actual workload behavior and allocate resources based on observed demand patterns rather than estimates.

Reduce Operational Risk

Optimization recommendations are prioritized based on confidence, impact, and safety to minimize disruption.

Accelerate FinOps Outcomes

Enable engineering, operations, and finance teams to collaborate around a shared view of optimization opportunities and realized savings.

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How It Works

1. Connect Cloud Accounts

Connect your cloud environment securely and begin collecting infrastructure and utilization data. See Setup Cloud Data Collection

2. Assign Policies

A default policy is automatically assigned to instances in each account connected to Kubex. You can reassign policies at any time. For more details, refer to the Cloud Policy page.

3. Analyze Workload Behavior

Kubex continuously evaluates:

• CPU utilization
• Memory consumption
• Resource allocation patterns
• Growth trends
• Performance characteristics

using machine learning and historical workload analysis.

4. Identify Optimization Opportunities

The platform surfaces:

• Overprovisioned resources
• Underutilized instances
• Inefficient instance families
• Rightsizing opportunities
• Cost reduction recommendations
• For Scale Groups (ASG, ScaleSet), Kubex additionally provides recommendations for min and max group sizes

prioritized by business impact and risk.

FinOps Enablement

Kubex helps organizations mature their FinOps practices by providing:

Capability	Benefit
Cost Visibility	Understand where cloud spend occurs
Resource Rightsizing	Eliminate overprovisioning
Savings Tracking	Measure optimization impact
Continuous Optimization	Maintain long-term efficiency

By embedding optimization into operational workflows, teams can make cloud cost management an ongoing process instead of a periodic exercise.

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Organizations use Kubex to improve cloud efficiency, reduce operational complexity, and ensure infrastructure resources align with actual business demand.

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