Announcements

When a budget alert changes, an allocation rule disappears, or a report gets edited, audit logs answer the obvious question: who made the change, and what did it look like before? This is the foundation for troubleshooting config drift, supporting your SOC2 and ISO review workflows, and tracing actions back to a named user.

Autonomous commitment management for AWS and Google Cloud — continuously analyze, ladder, and purchase Savings Plans and CUDs with built-in guardrails for every team.

We added faster keyboard navigation, plus a built-in shortcuts overlay to help you discover available actions.

Route anomalies to the right team, faster

Following the recent release, we are enabling re-notifications for all active Cost Anomaly notification configurations across group channels (Slack, MS Teams, email).

Multi-metric reports let you plot up to four metrics on the same chart or table, putting cost, usage, and efficiency data in context without switching between reports. Now, all four metrics can be custom metrics you've built yourself.

Your invoices now show the service start and end dates for AWS Marketplace products purchased upfront, so you no longer need to cross-reference original AWS invoices to determine coverage periods.

17 new third-party vendor integrations bring SaaS and multi-cloud billing into one platform for unified cost allocation, budgets, anomaly detection, and reporting.

Run AWS and GCP CLI commands as first-class steps in CloudFlow, turning manual terminal procedures into auditable, repeatable workflows with full run history.

Agent Builder lets you define CloudFlow automations in natural language, replacing manual API integration with reusable, governed workflows for FinOps tasks.

CloudFlow actions now support waiters that pause execution until a cloud resource is ready, replacing brittle retry loops with deterministic multi-step automations.

Cost anomaly re-notifications now alert you again when an anomaly persists beyond a set time or escalates in impact, keeping teams aware of unresolved spend risks.

Datastore tables give CloudFlow automations a shared, managed place to store and query structured data for consistent enrichment, routing, and state across flows.

Add configurable Sleep nodes to CloudFlow workflows to pause runs, avoid API throttling, and orchestrate time-based actions like dev environment scheduling.

Star your most-used features, reports, and dashboards as Favorites for one-click access from a persistent navigation bar, plus quickly revisit recent pages.

Sub Flow nodes let you centralize shared logic in a single reusable CloudFlow, call it from any parent workflow with parameters, and trace every invocation as a child run.

Allocation previews, AI-powered allocation creation, streamlined variable management, and direct report links make building and acting on Metrics faster.

Visualize data from CloudFlow and Datastore tables directly in your dashboards with flexible chart types, auto-refresh, and guided configuration.

Azure Advisor recommendations now appear alongside AWS and Google Cloud insights, giving teams one unified view to prioritize and act on optimization across all three clouds.

Create complex cloud cost allocations effortlessly using natural language prompts in the Agentic AI side panel.

Automated, workload-aware optimization for Snowflake is now part of DoiT Cloud Intelligence, helping you right-size warehouses, cut idle spend, and boost query efficiency.

Compare spend across two time periods in a single report to spot trends, measure optimization impact, and identify unexpected cost increases faster.

Star your most-used reports in the Console and sort them to the top for faster, personalized access to the insights you rely on daily.

Reports now support multiple metrics like cost, usage, list price, and savings in a single view for easier validation and clearer insights.

Detect unexpected BigQuery cost spikes in under an hour instead of waiting until the next day with real-time anomaly alerts.

Create annotations directly from any report data point with a right-click, capturing context on cost anomalies or usage spikes without leaving your analysis.

Programmatically create and apply single-value labels to annotations, allocations, reports, and more to align governance objects with your org structure.

Cloud Analytics now fully supports Google Cloud's new spend-based CUD data model, ensuring accurate reporting as SKUs and savings displays transition ahead of the January 2026 rollout.

Access DoiT Cloud Intelligence directly from your terminal to automate cloud cost reporting, annotations, and governance workflows across scripts, pipelines, and runbooks.

Monitor AWS Reserved Instance and Savings Plan expirations with a new CloudFlow template that surfaces alerts to prevent coverage gaps and unplanned on-demand spend.

Write SQL queries directly in CloudFlow to automate FinOps and CloudOps alerts, policies, and workflows using your unified billing data.

Reach DoiT's Forward-Deployed Engineers directly from any Workload Intelligence dashboard to turn insights into action without leaving the product.

Detect unexpected BigQuery on-demand cost spikes in under an hour instead of waiting until the next day, catching runaway queries before they impact your bill.

Agentic FinOps AI now lives on Insight detail pages, delivering impact estimates, step-by-step remediation plans, and ready-to-use Terraform configs in seconds.

Gain full FinOps visibility into MongoDB Atlas costs across organizations, projects, and SKUs with built-in analytics and AI-powered optimization insights.

Fine-tune cost anomaly alerts per service with new sensitivity controls that let you reduce noise or catch every fluctuation.

Google Vertex AI and Databricks model-serving costs and token usage now appear in GenAI Intelligence alongside Bedrock, OpenAI, and Claude.

Subscribe to commitment updates via email or Slack and add commitment widgets to dashboards for at-a-glance tracking.

Annotate your Cloud Analytics reports with dates, labels, and context so your team understands why cost changes happened, not just what changed.

Cloud Diagrams now supports Google Cloud, enabling real-time infrastructure mapping, dependency tracing, and unified multicloud visualization alongside AWS.

Security Insights unifies findings from Wiz and AWS Security Hub into a single prioritized view to reduce noise and speed up remediation.

Gain visibility into Kubernetes cost and resource utilization across AWS and Google Cloud with preconfigured dashboards, per-cluster drilldowns, and seamless PerfectScale integration.

Securely manage CloudFlow permissions with reusable, role-based Connections that enforce least-privilege access and simplify governance at scale.

DoiT named a Visionary in the Gartner® Magic Quadrant™ for Cloud Financial Management Tools, recognized for Completeness of Vision and Ability to Execute.

Monitor and compare AI costs, usage, and token consumption across OpenAI, Anthropic, and more from a single unified dashboard.

Connect your Anthropic organization to monitor Claude model costs and usage alongside your cloud infrastructure spend in the GenAI Lens dashboard.

Japanese language support is now available in the console, switching automatically based on browser settings or manually via user profile preferences.

A redesigned Insights homepage lets you prioritize by urgency, impact, and effort while tracking coverage and potential savings at a glance.

Split Google Cloud Marketplace spend into separate invoices and distribute Cloud Intelligence licensing fees proportionally across multiple billing profiles for more accurate cost allocation.

Filter dashboard widgets using existing Allocation rules to drill into costs by team, environment, product, or any business dimension without duplicating dashboards.