May 2025

We’re excited to announce the general availability of our May 2025 release! This update introduces SaaS cost visibility integration with Azure Databricks, expands AI cost governance with support for AI Foundry, and delivers key enhancements to anomaly detection, cost variance analysis, and cost attribution workflows. For more details, reach out to your Mavvrik representative or check our updated documentation: https://help.mavvrik.ai.

Azure Databricks Integration – SaaS Cost Visibility

We’ve introduced native support for Azure Databricks, enabling users to connect their Databricks workspace and gain full visibility into associated SaaS costs directly within the platform.

• Connect Azure Databricks: Seamlessly link your Databricks account using secure credentials to ingest cost and usage data.

• Detailed Cost Insights: Visualize granular Databricks spend by workspace, SKU, and resource, helping teams monitor trends and identify optimization opportunities.

• SaaS Dashboard Integration: Databricks is now available in the SaaS dashboard, expanding our coverage beyond IaaS to include third-party cloud services.

Anomaly Detection – Multi Threshold Support & Granular Filtering

We’ve overhauled the Anomaly Detection experience to give users greater control and precision when setting up alerts.

• New UI Experience: Anomaly Settings now include an intuitive interface for configuring alerts, thresholds, and filter criteria.

• Granular Filtering: Apply basic or advanced filters based on Provider, Billing Account, Usage Account, Service, Resource Group, and more—enabling highly targeted anomaly detection across your cloud environment.

• Flexible Threshold Options: Set alert thresholds using fixed dollar amounts or percentages to match your risk tolerance and budget governance policies.

• Context-Aware Management: Easily manage multiple alert configurations by selecting the settings for tailored governance across different segments of your cloud footprint.

Native Recommendations – Enhanced Savings Breakdown

We’ve expanded our Native Recommendations feature to provide a more nuanced view of cost-saving opportunities, helping teams make better-informed decisions.

• Monthly Savings: Shows potential savings based on on-demand pricing, representing the gross value of acting on the recommendation.

• Monthly Amortized Savings: Displays savings calculated using actual discounted pricing (e.g., SPs/RIs), giving a more accurate reflection of financial impact.

• Optimal Savings: Highlights the best-case savings possible if workloads were perfectly aligned with cost-efficient options using on-demand pricing as the baseline.

Cost Variance Breakdown – Contextual Usage & Cost Comparison

We’ve significantly enhanced the Cost Variance dashboard to provide deeper, more actionable insights into monthly spend fluctuations by comparing changes across time periods.

• Side-by-Side Comparison: When users click on a variance bar (e.g., March), the breakdown now compares usage and cost directly against the previous period (e.g., February).

• Change Classification: Each resource is tagged with a clear status—Increased, Decreased, New, Deleted, or Unchanged—making it easier to interpret the nature of the change.

• Detailed Delta View: Displays both usage differences (e.g., hours, storage) and cost differences, so users can identify whether a change is driven by consumption, pricing, or both.

• Sorted by Impact: Results are sorted by absolute cost variance (highest to lowest) to spotlight the most material changes first.

AI Insights Dashboard – Now Supports Azure AI Foundry

We’ve extended our AI Insights Dashboard to include support for Azure AI Foundry, providing broader visibility into your AI cost landscape.

• Expanded Model Coverage: Gain visibility into Azure AI Foundry usage along side Azure Open AI, with detailed insights into cost, performance, and consumption trends.

• Unified AI Cost Governance: Monitor Azure AI Foundry workloads within the same dashboard, enabling consistent optimization strategies across all your generative Azure AI services.

• Foundry-Specific Metrics: Track usage patterns and cost drivers unique to Azure AI Foundry to inform rightsizing and scaling decisions.

Platform Experience Enhancements

Cloud as Default Data Source: We've updated the default Data Source selection to Cloud across Budgets, Alerts, and Cost Allocations for a more intuitive user experience.

Azure Amortization Support for CSP & Non-Billing Scopes: We’ve added azure amortization support for CSP and other non-billing scopes, enabling more accurate cost reporting across different account structures. This ensures consistent visibility into commitment-based spend, regardless of scope type.

GCP Negotiated Savings Support :The Cost Dashboard now includes GCP Negotiated Savings as part of the existing Taxes & Credits breakdown, providing a more accurate view of your true effective costs.

Disabled Status for Datacenters & K8s Clusters : We've extended the Disabled status option to both Datacenters and Kubernetes Clusters, in addition to existing support for Cloud. This helps suppress alerts for decommissioned infrastructure while maintaining historical data visibility.

Virtual Tag Support in Cost Allocation : Cost Allocation auto-discovery now supports Virtual Tags alongside Usage Accounts and native Tags, enabling more flexible and consistent cost attribution.