AI TOOL PROFILE
DoiT: Multi-Cloud FinOps and Cost Optimization
- Finance and Accounting
- Expense Management
- 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.
At a glance
- Best for
- Enterprise companies, Mid-market companies, Multi-cloud environments, Kubernetes-heavy infrastructures
- 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
- Visit DoiT official website
How AI is used
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
Multi-cloud cost visibility
Provides unified dashboards and analytics for spend across AWS, Google Cloud, and Azure.
Real-time anomaly detection
Identifies cloud spend surprises and alerts users, with detections typically occurring within six hours.
PerfectScale for Kubernetes
Uses AI-driven insights to analyze usage patterns and supports automated resource optimization for Kubernetes environments.
Intent-aware FinOps
Maps cloud spend to specific workload intents and telemetry rather than surface-level metrics.
CloudFlow automation
Supports the automation of remediation for cost inefficiencies and security risks using pre-built logic.
Workload Intelligence modules
Offers specialized optimization insights for services including Snowflake, Databricks, BigQuery, and MongoDB.
Use Cases
Multi-cloud spend management
Consolidating cost visibility from AWS, Azure, and Google Cloud into a single reporting interface.
Kubernetes cost reduction
Analyzing dynamic usage patterns to rightsize Kubernetes resources and reduce waste.
Bridging FinOps and Engineering
Converting cost-saving recommendations into technical engineering tasks for implementation.
Snowflake spend optimization
Using dedicated intelligence modules to monitor and reduce costs specifically for Snowflake environments.
Integrations
- AWS
- Google Cloud
- Microsoft Azure
- Jira
- Slack
- Zapier
- Datadog
- Snowflake
- Databricks
- GitHub
- Asana
- PagerDuty
- Microsoft Teams
- Grafana
FAQ
Who is DoiT best suited for?
- It is designed for mid-market and enterprise companies managing complex multi-cloud environments, particularly those using Kubernetes.
How does DoiT handle pricing for different sizes of business?
- 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.
Which cloud providers does DoiT support?
- The platform provides unified visibility and optimization for AWS, Google Cloud, and Microsoft Azure.
Source category: Finance & Accounting
Source subcategory: Expense Management
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