DoiT: Multi-Cloud FinOps and Cost Optimization
DoiT helps mid-market and enterprise companies align cloud spending with business intent. It is designed for organizations that need to translate cost recommendations into engineering tasks.
At a glance
- Category
- Finance & Accounting
- Best for
- Enterprise companies, Mid-market companies, Multi-cloud environments, Kubernetes-heavy infrastructures
- Pricing
- DoiT offers a free community tier for up to 300 monthly vCPUs. The Expert tier starts at $4 per monthly vCPU with a minimum of 200 vCPUs. Snowflake optimization is priced at 4% of annual spend with a $750 monthly minimum.
- Key use cases
- Multi-cloud spend management, Kubernetes cost reduction, Bridging FinOps and Engineering, Snowflake spend optimization
- Integrations
- AWS, Google Cloud, Microsoft Azure, Jira, Slack
- Official website
- doit.com
DoiT is a FinOps platform designed for organizations managing cloud spend across multiple providers. It maps expenditures to specific workload intents, such as developer velocity or latency targets, using full-stack telemetry.
The tool is built for enterprise and mid-market companies that manage a high volume of cloud alerts. It helps these teams identify inefficiencies, detect anomalies in real time, and manage Kubernetes resource optimization.
Beyond the software, the platform supports implementing changes by turning insights into verified engineering tasks. Buyers should confirm whether they have the internal engineering capacity to execute these tasks or if they require the expert analysis offered in the higher pricing tiers.
This tool is designed for businesses with dedicated DevOps or FinOps functions who can leverage its telemetry and automation capabilities.
Key Features
Provides unified dashboards and analytics for spend across AWS, Google Cloud, and Azure.
Identifies cloud spend surprises and alerts users, with detections typically occurring within six hours.
Uses AI-driven insights to analyze usage patterns and supports automated resource optimization for Kubernetes environments.
Maps cloud spend to specific workload intents and telemetry rather than surface-level metrics.
Supports the automation of remediation for cost inefficiencies and security risks using pre-built logic.
Offers specialized optimization insights for services including Snowflake, Databricks, BigQuery, and MongoDB.
Use Cases
Consolidating cost visibility from AWS, Azure, and Google Cloud into a single reporting interface.
Analyzing dynamic usage patterns to rightsize Kubernetes resources and reduce waste.
Converting cost-saving recommendations into technical engineering tasks for implementation.
Using dedicated intelligence modules to monitor and reduce costs specifically for Snowflake environments.
Best For
Integrations
Pricing
DoiT offers a free community tier for up to 300 monthly vCPUs. The Expert tier starts at $4 per monthly vCPU with a minimum of 200 vCPUs. Snowflake optimization is priced at 4% of annual spend with a $750 monthly minimum.
FAQ
It is designed for mid-market and enterprise companies managing complex multi-cloud environments, particularly those using Kubernetes.
There is a free community tier for up to 300 monthly vCPUs, while the Expert tier requires a minimum of 200 vCPUs at $4 per vCPU.
The platform provides unified visibility and optimization for AWS, Google Cloud, and Microsoft Azure.
Source category: Finance & Accounting
Source subcategory: Expense Management
