Maintaining a clear record of infrastructure changes is critical for security audits, compliance, and general troubleshooting. Cloud Diagrams’ Version History delivers this by logging every resource creation, update, or deletion in your diagram.

We’ve introduced several updates to Version History, making it easier to find the infrastructure changes you’re looking for:

• Grouped service views: Changes are now categorized by cloud service (e.g., Compute Engine), allowing you to expand these groups to see specific resources. Additionally, clicking the name of a created or modified resource will take you directly to it on your diagram.
• Tag & label filtering: You can now filter version history by tags or labels to isolate modifications for specific environments, teams, or projects.
• In-resource history: When you select a resource in your diagram, a new History tab in the properties panel provides a timeline of every modification made to that specific resource, such as IP address or ID changes.

To get started, open a diagram to explore your infrastructure’s change history, read the documentation, or watch the short demo here.

Whether you're troubleshooting a performance alert, assessing the impact of a planned change, or auditing your security posture, understanding a resource’s context is essential. 

Cloud Diagrams’ Investigate feature delivers this visibility by visually isolating a resource and its dependencies in-diagram so you can:

• Trace root causes of cost spikes or performance bottlenecks.
• Analyze the impact of planned infrastructure modifications before you deploy.
• Audit security reachability to identify over-permissive paths between resources.

We’ve introduced two updates to improve root-cause and impact analysis in Cloud Diagrams with Investigate:

1. Extended blast radius: Previously, using Investigate would show you resources directly connected to your selection. You will now see second-order dependencies — connections of your selection’s connections — to visualize a wider impact area.
   
   Additionally, this view now maps potential reachability by analyzing your security and firewall rules, showing you which cloud resources can communicate with your target resource.
   
   
2. Search-to-investigate: Before, starting an investigation required manually locating and selecting a node on your diagram. Now, you can also enter the resource name, IP address, or any other unique identifier in the Investigate search bar to locate and isolate that resource and its dependencies.

To get started, open Cloud Diagrams and start exploring your cloud resources and their dependencies, read the documentation, or watch the short demo video here.

Infrastructure diagrams can get crowded, making it hard to find what matters. 

Filters in Cloud Diagrams help you cut through the noise and isolate specific resources, whether you’re hunting for a root cause during an incident or focusing solely on the infrastructure your team manages.

We’ve introduced two major updates to make filtering in Cloud Diagrams even more powerful:

• Saved filters: Save and name your filtered views to jump back into a specific context instantly without re-creating filter criteria from scratch.
• Advanced logic: Mix “AND” and “OR” logic for more surgical filtering. New search options like regex and exclusions make it simple to show (or hide) the exact services and tags/labels you're looking for.

Ready to try it out? Open Cloud Diagrams and save your first filter, or watch the 2 min. demo video here.

Cloud Diagrams now supports the following cloud resources:

• Pub/Sub topics & subscriptions.
• Google Kubernetes Engine (GKE) namespaces
• Google Cloud Firewall rules
• Google Cloud service accounts
• Google Cloud Filestore instances
• Google BigQuery datasets
• Amazon RDS Proxy
• Amazon RDS clusters

These additions give you a more complete view of your infrastructure, allowing you to spot dependencies and troubleshoot connections that were previously missing from your diagrams.

Here’s how you can start taking advantage of these newly-visible resources:

1. Google Cloud Pub/Sub: Visualize topics, subscriptions, and message flows between services and event triggers.
2. GKE Namespaces: Trace network paths between GKE Namespaces and Load Balancers to clearly understand traffic flow and service connectivity.
3. Google Cloud Firewall rules: Validate security boundaries and troubleshoot connectivity by visualizing how firewall rules allow or block traffic between instances and external services.
4. Google Cloud service accounts: Keep track of where your service accounts are assigned and what they have access to.
5. Google Cloud Filestore instances: Track storage connections to see which instances or clusters are mounted to your file shares.
6. BigQuery Datasets: Map data dependencies to clearly see which services and projects interact with your BQ datasets.  
7. RDS Proxy: Verify traffic routing between your applications and RDS instances via the intermediate proxy layer.
8. RDS Clusters: See the direct connections between your database nodes to understand your failover and scaling setup.

Open Cloud Diagrams to start seeing these new cloud resources in the context of your broader architecture.

If you’re using Azure AI to build and run LLM-powered applications, you’ll now see those associated costs in GenAI Intelligence alongside any AI spend from other platforms you use.

GenAI Intelligence gives you a single, comprehensive view of AI costs and token usage across your AI stack, including other supported providers like Amazon Bedrock, OpenAI, and Anthropic Claude.

Azure AI usage will also populate GenAI labels, so you can easily build your own reports and allocations on top of this AI spend data. GenAI labels turn provider-specific data into consistent dimensions (like Model, Feature, Media Format) across your AI stack, making it much easier to break down GenAI costs and usage without digging through SKUs and services for each platform.

To get started, explore GenAI Intelligence and use GenAI system labels to explore and allocate your GenAI spend.

GenAI Intelligence is available on all DoiT Cloud Intelligence™ tiers.

For customers sending (or planning to send) Snowflake cost & usage data to DoiT Snowflake Intelligence, key-pair authentication is now supported and required for new connections, and existing password-based LEGACY_SERVICE users must migrate by June 2026.

Snowflake is deprecating password-only LEGACY_SERVICE users, with full removal planned for June 2026. In response, we’ve added support for key-pair authentication. This removes passwords from the flow and gives you stronger security and a cleaner audit trail for your Snowflake connection.

What this means:

• Starting today, key-pair authentication is the only way you’ll be able to set up the Snowflake Intelligence
• If you’ve already set up the integration with a LEGACY_SERVICE user, migrate to key-pair authentication before June 2026 to avoid interruption

To get started, view our documentation on setting up and updating your Snowflake connection.

Are you building GenAI features and services with Amazon Bedrock? 

You can now track detailed AWS Bedrock cost and usage information in GenAI Intelligence (formerly “GenAI Lens”), which gives you a comprehensive view of all your AI costs and usage across supported providers like Bedrock, OpenAI, and Anthropic Claude.

Additionally, your Amazon Bedrock cost and usage data is now included in GenAI system labels, which categorizes your GenAI data into consistent categories (ex. Model, Usage Type, Media Format) across all supported GenAI providers. 

This makes it easier for you to drill down into your GenAI costs and usage across providers without having to filter through service-specific SKUs and resources.

To get started, explore GenAI Intelligence and start using GenAI system labels in reports to drill down into your GenAI spend across reports and allocations.

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.

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.

Your Home Dashboard now includes four new widgets to complement your existing optimization widgets to give you a complete financial picture for faster decision-making.

What's added:

1. Current month spend: See exactly where you stand with real-time spend data for the current month.
2. Current month forecast: View projected costs based on your current usage patterns to anticipate your month-end spending.
3. Current month savings: Track your realized savings from Flexsave, Spot Scaling, and PerfectScale (coming soon).
4. Security insights: Get visibility into security risks requiring attention, with recommendations for access control, encryption, identity management, and compliance.

With the additional context added to your Home Dashboard, you can better identify what needs attention and prioritize your optimization efforts.

Find your updated dashboard by clicking Home in the top navigation (or whenever you log in to the DoiT console).