Zesty Insights is a SaaS platform that provides real-time visibility into Kubernetes and multi-cloud infrastructure usage and costs. It uses AI to analyze workload patterns, identify inefficiencies, and deliver actionable recommendations to reduce cloud waste and optimize resource allocation. The platform centralizes cost, usage, and savings data, supporting immediate, data-driven decisions for cloud cost management.

Key Features

Real-Time Usage and Cost Analysis

• Continuously monitors compute, storage, and database usage across Kubernetes and multi-cloud environments.
• Provides up-to-date cost visibility at workload and cluster levels.

AI-Driven Recommendations

• Uses machine learning to analyze historical and real-time data.
• Delivers prescriptive, prioritized recommendations for cost savings and resource optimization.

Multi-Cloud Support

• Centralizes insights across AWS, Azure, and other cloud providers.
• Identifies unused or underutilized resources across services like EC2, EBS, RDS, S3, ELB, and Azure VMs.

Unified Dashboard

• Consolidates cost, usage, and savings opportunities in a single interface.
• Enables users to drill down by workload, cluster, or service for granular analysis.

Immediate Actionability

• Recommendations are tailored for quick implementation, allowing organizations to realize savings rapidly.
• Highlights high-impact actions to prioritize optimization efforts.

Automated Data Collection

• Requires a lightweight agent with read-only permissions for secure data gathering.
• Integrates seamlessly with Kubernetes and cloud environments.

Benefits

Cost Reduction

• Identifies and eliminates cloud waste, such as idle or underutilized resources.
• Enables organizations to cut cloud expenses by an average of 7% or more.

Operational Efficiency

• Reduces manual analysis and dashboard overload, freeing engineering resources for innovation.
• Streamlines cloud cost management with automated, actionable insights.

Improved Resource Utilization

• Optimizes allocation of compute, storage, and database resources.
• Prevents over-provisioning and ensures infrastructure matches workload demand.

Data-Driven Decision Making

• Empowers FinOps and DevOps teams with clear, prioritized recommendations.
• Facilitates informed decisions that align with business and financial goals