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CG

Chaos Genius

Flexera provides Data Cloud Optimization tools to manage and reduce spending on data platforms like Snowflake and Databricks. The platform uses autonomous agents and intelligent controls for continuous tuning of compute and storage resources. This results in significant cost savings, often between 20-50%, through automated workload and instance optimization.

Palo Alto, United StatesFounded 202117700+ followers
Updated 20 months ago

Funding

$3.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

CZHLNE
Funding rounds are not available yet.

Founders

Product

Problem

Enterprises face challenges in managing and optimizing cloud data infrastructure costs, particularly within Snowflake and Databricks environments. Inefficient resource allocation, underutilized instances, and unoptimized workloads lead to unnecessary expenditures and hinder overall data infrastructure efficiency. Lack of visibility into cost drivers and usage patterns further exacerbates these issues.

Solution

Chaos Genius provides a DataOps observability platform designed to optimize costs associated with Snowflake and Databricks. The platform offers comprehensive dashboards with drill-down capabilities, enabling a thorough understanding of cost drivers and usage patterns. By pinpointing over-provisioned and under-provisioned clusters and warehouses, Chaos Genius facilitates efficient compute expenditure management through instance rightsizing. The platform also provides cost optimization recommendations for jobs and queries without impacting performance, and optimizes databases for higher performance and lower storage costs. Furthermore, Chaos Genius delivers instant multi-channel alerts on usage anomalies, ensuring continuous monitoring and proactive cost management.

Target Audience

The primary target audience includes data engineers, data architects, and finance professionals responsible for managing and optimizing cloud data infrastructure costs within enterprises using Snowflake and Databricks.

Features

  • Comprehensive dashboards for cost allocation and visibility with drill-down capabilities
  • Instance rightsizing recommendations to identify and correct over/under-provisioned resources
  • Workload optimization suggestions for jobs and queries to improve efficiency without impacting performance
  • Database optimization to enhance performance and reduce storage costs
  • Real-time alerts and reporting on usage anomalies via multiple channels
  • Continuous monitoring to ensure ongoing stability and efficiency of the data cloud environment
  • Single Sign-On (SSO) support for secure access
  • IP Whitelisting for enhanced security
  • Contract utilization monitors to track and manage cloud service agreements
  • Chargeback by cost centers for detailed cost allocation and accountability
This profile is AI-generated and may contain inaccuracies.