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.

Allocations let you map cloud costs to the right teams and stakeholders, ensuring every dollar is assigned a clear owner. This transparency is the foundation for driving true cost accountability across your company. 

And now, building allocations in DoiT Cloud Intelligence is as simple as having a conversation. You can create complex allocations effortlessly using natural language prompts in your Agentic AI side panel.

For example, you can write a prompt like:

Allocate my spend using the values in the 'app' tag to define the groups. For each group, also capture resources in any Google Cloud projects or AWS accounts that contain those same application names.

And as shown below, using the above prompt we can build an allocation group consisting of nine allocations, one for each of our apps.

To get started, try your first prompt in DoiT Cloud Intelligence or watch our 2-min. demo video of this in action:

For too many organizations, the 'modern data stack' has become a financial black box. Today, we are changing that by acquiring SELECT, the premier platform for optimizing Snowflake performance and costs.

Snowflake costs grow fast when warehouses, clusters, and queries are not continuously tuned. PerfectScale for Snowflake (formerly SELECT) brings automated, workload-aware optimization directly into DoiT Cloud Intelligence™.

Get clear recommendations to right-size warehouses, reduce idle spend, and improve query efficiency without tedious manual tuning. See cost impact before you apply changes and keep teams in control with human-in-the-loop workflows. Read more about PerfectScale for Snowflake here.

Want to see it on your own Snowflake account? Book a live demo with the team that built it.

Book a private demo

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.

Understanding cloud spend isn’t just about what you’re spending today, it’s about how that spend is changing over time.

Instead of running multiple reports with different time windows, you can now: 

• Compare spend and usage across two time periods in one view
• Identify trends and seasonality at a glance
• Quickly measure the impact of optimizations or configuration changes
• Spot unexpected increases earlier

With time period comparisons, you can define a primary and secondary time window in the same report. Instantly see total values, absolute change, and percent change, with visual highlights that draw attention to the largest increases and decreases. This makes it easier to understand what changed, how much it changed, and where to focus next.

To get started, open a new or existing report and add a secondary time window. 

For more details about time period comparisons, check out our Help documentation.

As your library of saved reports grows, quickly getting to the reports you use most can become a challenge. You shouldn’t have to search or scroll every time you want to answer a familiar question or access a frequent report. Now you don’t have to. 

You can now star your favorite reports in the DoiT Console and sort your report list to keep starred reports at the top. With just a few clicks, your most important reports are always front and center, exactly where you need them. Also, when you favorite a report, it’s starred for your user only. Other users won’t see or be affected by your starred reports.

This simple but powerful enhancement makes it easier to stay focused on the insights that matter most, while reducing friction in your day-to-day workflow. 

Work smarter with

• Faster access to the reports you rely on most
• Less friction when navigating large report libraries
• A more streamlined, personalized reporting workflow
• More time spent on insights, less time on navigation

Get started

• To favorite a report, select the star icon next the the report name on the report list
• To view starred reports, filter the reports list by “Favorite == yes”

For more details, consult our Help documentation or raise a support ticket.

Understanding cloud spend often means looking at more than one metric at a time, such as how cost relates to usage, list price, or savings.

You can now add multiple metrics, such as cost, usage, list price, and savings, to a single report. This makes it easier to validate data, reduce duplicate reporting, and deliver clearer insights without exporting or stitching together multiple views.

What this enables

• Compare cost, usage, and list price in one report
• Validate data more easily across metrics
• Reduce the need for duplicate or parallel reports
• Communicate insights more clearly to finance, engineering, and leadership
  
  

Getting started

• To add multiple metrics: open a new or existing report and select “+” next to Metrics

For more details, consult our Help documentation or raise a support ticket.

We’re excited to roll out a major upgrade to how DoiT helps you stay in control of your Google Cloud spend: real-time anomaly detection for Google BigQuery, including both on-demand and reservation workloads. Once enabled, you’ll receive alerts about unexpected BigQuery cost spikes in under an hour.

What’s new

Until now, anomaly insights for BigQuery relied on next-day billing-file ingestion. That meant if a bad query ran at 2 PM today, you wouldn’t know until tomorrow.

With our new real-time detection pipeline for BigQuery on-demand, we continuously ingest and analyze live BigQuery usage metadata, flag unusual usage patterns, and send you Slack or email alerts in less than an hour-not the next day.

Why it matters

Real-time detection for BigQuery means that you can:

• Catch runaway queries in minutes: Prevent accidental or inefficient queries from racking up costs before anyone notices.
• Protect against operational mistakes: Get alerted when abnormal query activity starts impacting spend.
• Strengthen your security posture: Real-time cost changes can signal unauthorized data access or compromised systems.

As DoiT’s BigQuery expert Sayle Matthews can attest, the risk of unchecked queries racking up significant costs in a short period of time is very high:

“One of the largest issues is seeing how much their bill is at any given moment and being able to alert them when a ‘runaway query’ hits. We have seen some examples where customers have single queries that cost $2,000 USD and run in less than a minute, and of course, these were run multiple times in quick succession. These mistakes lead to massive bills that aren't caught for days or weeks later.”

Watch this video for a more detailed breakdown of one such example of a runaway query that could have cost a customer thousands in unnecessary charges.

What you need to do

This feature is available for all DoiT customers with a paid Enhanced, Premium, or Enterprise subscription and a connected Google Cloud account. 

You can enable real-time anomaly detection for BigQuery when connecting a new project or editing an existing one. For a new project, take the following steps:

1. Sign in to the DoiT Cloud Intelligence console, select Integrate from the top navigation bar, and then select Google Cloud.
2. From the Connect drop-down, select Project.
3. Select the Real-time Anomalies – BigQuery checkbox. You can expand the feature to view its required permissions
4. Select Generate gcloud commands
5. Follow the instructions displayed in the side panel to configure your service account. See Connect a Google Cloud project for more information.
6. If the connection has been set up successfully, the status of the Real-time Anomalies – BigQuery feature will show Healthy.
   
   

To enable the feature on multiple projects, you'll need to repeat the process for each one. To add real-time anomalies to a connected project:

1. From the Integrate tab, select Google Cloud and find the project you want to enable it on.
2. Select the kebab menu (⋮) next to the project connection, and then select Edit.
3. Select the Real-time Anomalies – BigQuery checkbox to add the feature.
4. Select Generate gcloud commands.
5. Follow the instructions displayed in the side panel to update your custom role.
6. Select Done to enable the feature

Next steps

For more information about real-time anomaly detection, consult our Help documentation or raise a support ticket.

Data tells you what happened, but it doesn't always tell you why. We know that when you spot a cost anomaly or a usage spike in your cloud cost, usage or your business metrics, you need to capture that context immediately—before it’s lost in the shuffle of daily operations.

Starting today, you no longer need to navigate to a separate settings menu or lose your place in your analysis to leave a note. You can now create annotations directly from your reports by simply selecting a specific data point (using the right-click menu).