We’re excited to share that DoiT Cloud Intelligence™, our intent-aware automation-first FinOps platform, has earned the “Deployed on AWS” designation on AWS Marketplace. This confirms that our SaaS offering is fully hosted on AWS and aligned with the latest AWS Marketplace eligibility requirements.

Starting May 1, 2025, AWS requires that SaaS products be entirely deployed on AWS and carry the “Deployed on AWS” badge to qualify for spend retirement under Private Pricing Agreements (PPA). DoiT Cloud Intelligence™ meets these new criteria, meaning customers can continue retiring their PPA commitments when purchasing DoiT Cloud Intelligence via AWS Marketplace and retain the financial benefits included in those agreements. This update makes it even easier for AWS customers to adopt DoiT Cloud Intelligence while maximizing the value of their AWS commercial terms.

Make the cloud work. Without slowing down.

DoiT Cloud Intelligence™ is purpose-built for fast-moving teams operating in complex AWS environments. It provides real-time cost visibility, optimization insights, and policy-based automation to reduce waste and enforce standards at scale, without adding friction to your engineering workflows.

With CloudFlow™, you can codify FinOps practices, automate remediations, and integrate with your tooling, all while respecting your existing AWS architecture and operational velocity. DoiT Cloud Intelligence™ also includes real-time anomaly detection to catch cost spikes as they happen, Threads™  to drive accountability by operationalizing FinOps across teams, and PerfectScale™ to ensure your Kubernetes, Compute, and Spot infrastructure continuously self-optimizes for efficiency, performance, and availability.

Simplified procurement, aligned incentives

Through AWS Marketplace, customers benefit from faster onboarding, reduced procurement overhead, and the ability to align DoiT Cloud Intelligence spend with their existing AWS PPA, with full compliance under AWS’s updated guidelines.

What’s next

We’ll continue to deepen our integration with AWS-native services, expand automation capabilities, and provide the tools needed to scale FinOps maturity across organizations.

Customers who have set up the Datadog cost and usage integration for DoiT Cloud Intelligence™ can now self-service update their current commitments for Datadog.

Datadog’s public pricing is often irrelevant once you have a commitment. You might be paying 30–50% less per unit, but that discount only applies once you account for the commitment.

After entering your Datadog commitment information, you will:

• See your real Datadog costs with your contracted discounts applied instead of list pricing.
• Track utilization to understand whether you’re under-consuming or ahead of your commitment.
• Forecast confidently using the actual rates from your agreement to prepare for renewals and avoid over-committing in your next contract.

To enter or modify your commitment details, go to your Datadog subscription details or view the documentation in our Help Center for more information.

We're happy to announce two new invoicing capabilities for DoiT Cloud Intelligence™ that allow you to more accurately distribute costs across your organization.

Invoice splitting of Google Cloud Marketplace Spend

DoiT invoices for Google Cloud Marketplace now allow you to split Marketplace spend into multiple invoices to more accurately attribute purchases across your organization. 

This feature helps you avoid the time-consuming task of separating Marketplace spend from your overall cloud expenses, ensuring more accurate cost allocation.

On your billing profile page, you will now see a new configuration option under “Invoice settings” to separate your Google Cloud Marketplace spend under the General heading. 

This is an opt-in feature, so no action is mandatory. All configuration changes made before the end of the calendar month will be reflected automatically in your next invoice of Google Cloud Marketplace spend. 

Split DoiT Cloud Intelligence™ costs across multiple billing profiles

DoiT now lets you split your asset spending on invoices in different ways based on your billing profile, making it easier to separate asset costs from other cloud expenses for more accurate accounting.

Here’s how it works: Currently each asset (AWS account, GCP project, etc.) can be assigned to a billing profile, thus allowing for separate invoices to different entities. 

The split cost feature allows your DoiT Cloud Intelligence licensing fee to be applied proportionally to the same billing profiles that are associated with each asset. Costs are split between the minimum fee or a percent of usage, whichever total amount is greater, as you can  see in the examples below:

Scenario 1: 2% cloud spend exceeds minimum fee

In this case the 2% of cloud spend is $10,000 and thus exceeds the minimum fee. The $10,000 is thus split proportionally amongst the billing profiles.

Scenario 2: Minimum fee exceeds 2% cloud spend

In this case the 2% of cloud spend is $2,000 and thus is less than the minimum fee. The $2,000 is thus split proportionally amongst the billing profiles.

To learn more about invoicing configurability options, please refer to this documentation or reach out to your DoiT account manager.

You can now filter dashboard widgets using your existing Allocation rules.

This means you can:

• Drill into costs by environment, team, product, or any other business dimension from the same dashboard
• Reuse a single dashboard across different contexts without duplicating it
• Quickly surface the cost data that matters to you, without editing reports

This update helps you get to the “why” faster – without extra setup.

Open any custom dashboard and “Add filter” to try it out.

We're excited to announce that Anomaly Detection for DoiT Cloud Intelligence™ now includes real-time detection of unexpected cost or usage changes on Google Compute Engine , in addition to its existing real-time capabilities for Amazon EC2 and RDS. 

Once real-time detection is enabled, DoiT Cloud Intelligence will notify you in less than 30 minutes after new cost anomalies are detected; this provides earlier detection than relying solely on billing data, where it may not appear for several hours or even days afterwards. 

Why it matters

This enhancement empowers you to address cost issues as soon as they appear.

• Early detection: Quickly identify and address cost anomalies before they balloon out of control, enabling more agile budget management
• Extra security: Benefit from an extra layer of financial security by monitoring cost anomalies as they occur, providing additional protection against unauthorized compute costs
• Optimized response: Real-time notifications allow you to take corrective actions promptly, protecting your bottom line
• Improved governance at no additional cost: Real-time anomaly detection uses your existing Cloud Logging audit logs, so you won’t see any additional charges on your invoice

What’s New

Google native cost anomaly detection relies on next-day billing data to trigger notifications. With DoiT Cloud Intelligence, the time lag on Google Compute cost anomalies has been dramatically reduced, with alerts now coming in within 30 minutes of identifying an anomaly. This advancement means fewer surprises and quicker, data-driven responses to unplanned cost escalations.

We will also be expanding this capability to other Google Cloud services in the coming months.

Getting Started

Real-time anomaly detection on Google Cloud requires enabling it in the DoiT Cloud Intelligence console, as well as granting access to your Google Cloud Audit logs (granting this permission must be done by someone with the ‘Organization Role Administrator’ IAM role in Google Cloud).

You can read more about the enablement process and the permissions required by consulting our Help documentation, or reaching out to your DoiT account team.

Real-time anomaly detection is available for DoiT customers with an active Enhanced, Premium, or Enterprise subscription.

Using Databricks for data analytics? You can now connect Databricks to DoiT Cloud Intelligence and track Databricks cost and usage alongside your infrastructure cloud cost and usage data.

Once the integration is set up, you’ll be able to explore your detailed Databricks data in the Databricks Lens dashboard, as well as in Reports, Allocations and many other DoiT Cloud Intelligence capabilities.

The Databricks integration is available for all the customers on the DoiT Cloud Intelligence Enhanced or Enterprise tiers, as well as on the DoiT Cloud Navigator Enhanced, Premium or Enterprise tiers. 

To learn more about Databricks integration you can:

• Explore use cases in our blog post
• Take a self-guided tour of the integration setup
• Read the documentation in the DoiT Help Center

Sankey charts are a type of flow diagram in which the width of the arrows is proportional to the flow quantity. In FinOps context, they visually represent how cloud spend moves from a source (like cloud accounts or projects) to a destination (such as services or labels). They are particularly effective at showing cost transfers and transformations.

Starting today, you can now use Sankey charts in DoiT Cloud Intelligence™  to visualize how your cloud spend flows across services, projects, labels, and other dimensions. This new visualization helps you understand cost distribution, identify unexpected patterns, and surface high-impact cost drivers in complex environments.

What you can do with Sankey charts:

• Trace spend across multiple dimensions: See how costs move from source to destination - such as from cloud accounts to services, or projects to labels.
• Identify inefficiencies: Quickly detect cost concentrations or flows that don’t align with expectations.
• Customize the view to your business: Choose any combination of source and target dimensions to reflect your internal org or architecture.

No configuration changes are needed. Just select your Report dimensions and explore the flow as a Sankey chart.

CloudFlow — Variables for repeatable, low-friction automations

CloudFlow now supports workflow-level variables.

• Global variables sit in one central file and are visible to every CloudFlow in the org.
• Local variables live inside a single flow and override globals for that flow only.

Here is why this is important:

• Eliminate hard-coded values: Replace literals (account IDs, regions, bucket names) with named parameters. Edit once, redeploy, and every pipeline inherits the new value, no wide-scale manual search-and-replace.
• Promote safely across environments: Ship the same CloudFlow file from dev → staging → prod by swapping variable sets instead of editing the flow itself, which reduces config drift.
• Constrain blast radius: Keep experimental or high-risk values quarantined with local variables, while global variables let you roll out org-wide changes.
• Reduce manual error: Fewer touch points mean fewer typos, missing regions, or mis-tagged resources—improving reliability and cost-allocation accuracy.
• Speed up multi-region replication: Clone a flow, update the region variable list, and publish. The deployment logic stays intact; only the parameter set changes.
• Automate cost governance: Tie spend thresholds, budgets, or anomaly detectors to variables. When account structures evolve, you update the variable once, and all alerts/remediations inherit the new scope automatically.

To learn more about variables and how to create them, check out our Help documentation or raise a ticket with the DoiT support team.

You already know the power and precision of our time-based filters in DoiT Cloud Intelligence™ . Today, we're excited to announce that we've extended this capability to your custom dashboards.

Now, you can use a time filter to instantly update every widget on a dashboard. This enhancement lets you zero in on a specific timeframe for your analysis, ensuring all your graphs and reports are perfectly synchronized. No more clicking into individual widgets or reports to analyze specific time frames, just a single, unified view.

By bringing DoiT Cloud Intelligence date filtering to the dashboard level, you can accelerate your analysis and make data-driven decisions faster.

Zero In on Cost Anomalies

When a cost spike occurs, open your custom dashboard and use the time filter to isolate that specific time period. Every widget will quickly update, giving you a complete, multi-faceted view of what happened across all services, helping you find the root cause in seconds.

Accelerate Reporting Cycles

Simplify your showback and reporting process. If you have a dashboard of reports set to "Last Quarter," but want to broaden your view, the new time filters quickly let you do this across all of your widgets.

Validate Optimization Efforts

Easily measure the impact of a recent migration or optimization project. Toggle the dashboard's view between the timeframes before and after the change to get an immediate, consistent comparison of your costs and usage patterns.

We’re happy to release our new experience for investigating and remediating cost anomalies. Now, when you get an alert about a new anomaly and review it for further investigation, the process of Assessment → Investigation → Remediation is more intuitive, making it easier to quickly take the necessary actions to fix and report on the issue.

Assessment

The anomaly screen clearly displays the most pertinent information about the cost spike, including the date and time it was detected, the service and account that have been impacted, and the individual SKUs and resources contributing to the spike.

Investigation

In addition to opening a Cost Analytics report to investigate the anomaly in more detail on your own, we’ve also made it easier to engage with a DoiT Cloud Architect directly from the anomaly screen or get a complete AI analysis.

You can also more easily foster cross-team collaboration by acknowledging it, and improve future detection capabilities by providing feedback to DoiT.

Remediation

Once the root cause of the cost spike has been identified, the next step is to fix the underlying issue. Here again, you can get expert advice from both Ava and, for customers on an Enhanced, Premium, or Enterprise tier, a DoiT expert who can help provide further analysis and recommend specific remediation steps.

To learn more about DoiT Anomaly Detection and how to respond to cost spikes, check out our Help documentation or contact your DoiT account team.