improvement DoiT Cloud Cost Analytics can now report on granular GCP Cloud Run, and Cloud Functions cost data, accurately measuring invocations and used resources per each instance.

To generate the report, group by "Service" (while selecting only "Cloud Run" and "Cloud Functions"), and then add "Resource" and "SKU" into the "Grouping" section.  

Cloud management is a team sport,  it's essential that everyone involved have access to clear reporting systems with the right levels of access. To improve this experience in our tools, we are happy to announce the release of additional Authentication configuration options. 

Auto Provisioning

Save time inviting each user by enabling this function.  Once enabled, non-Active users (either Invited or not) from an allowed domain, will have a user automatically provisioned for them on their first login.  

The user will be granted the default role in your organization.  By default, this is the Support User.  That can be changed easily to fit your need.

To further restrict access, you can choose which supported domains will allow this behavior. Simply select the domains you wish to allow

Ensuring your teams have friction free access to our powerful tooling will help to build and maintain cost awareness and effectiveness managing your cloud assets in a distributed and scalable way.

Following user feedback on our data visualization color scheme, we carried out a survey across our entire user base. The vast majority of survey respondents preferred a diverse color palette, which you will see reflected in our new scheme.

We also conducted studies among users with color vision deficiency to further adjust and enhance the individual hex values.

We are excited to follow up on our improvement to cost anomaly email notifications by allowing more granular control in our shared slack channels.  Our slack notifications for anomalies are a powerful way to ensure you and your team stay on top of the most critical anomalies as they occur.  While the anomaly detection engine is always running, not every cost anomaly is urgent or costly enough to require immediate intervention.

Today we have released new options to better target the set of anomalies that you want to know about immediately.

You can now refine shared slack channel notifications for detected anomalies based on:

1. Severity of anomaly - "Only slack me for Urgent anomalies"
2. The cost of the anomaly - "Don't slack me unless the anomaly costs me more than $100"

All anomalies will continue to be detected and show both in the CMP Cost Anomaly List.

Please read more about this feature here

Now you can get invoiced for your Cloud spend in 3 new currencies!

• SGD (Singapore dollar)
• MYR (Malaysian ringgit)
• TWD (New Taiwan dollar)

Contact support for more information on switching to these new currencies.

Enable Google Cloud's new GKE Cost Allocation feature for better insight into the costs of your Google Kubernetes Engine (GKE) workloads in DoiT Cloud Analytics Reports.

Once enabled, you’ll be able to report on your GKE cluster, namespace, and pod costs in Cloud Analytics Reports alongside non-K8s billing data.

Follow these instructions to enable GKE Cost Allocation on each of your clusters. As there's no historical backfill, the sooner you enable this, the more data you'll have to report on.

The anomaly detection engine is always running identifying increased costs from predicted normal ranges. However, not every cost anomaly is urgent or costly enough to require immediate intervention.  

We are excited to announce new options to better target the set of anomalies that you want to know about immediately.

You can now choose email notifications for email alerts on detected anomalies based on:

1. Severity of anomaly - "Only email me for Urgent anomalies"
2. The cost of the anomaly - "Don't email me unless the anomaly costs me more than $100"

All anomalies will continue to be detected and show both in the CMP Cost Anomaly List and be sent to Shared Slack Channels.  We will be extending this configurability further into our notifications coming soon!

Please read more about this feature here

As part of our Customer Reliability Engineering service, we provide advisory and engineering support for Amazon Web Services, Google Cloud, and Microsoft Azure, as well as our own products - Flexsave, Cloud Analytics, Spot Scaling and Anomaly Detection. To request support or advisory, our customers submit tickets using our platform.

After serving almost 100k requests to thousands of customers during the last decade, we have a unique perspective on how our customers are using the request submission process. Based on these observations, we have released a new and improved flow.

Among many improvements, we believe that these are the most important:

• More distinctive cloud-platform selection, with visual aids.
• Better-organised product selection, including based on most common requests.
• Products are sorted alphabetically
• Easier to read ticket severity, including on-screen guidance.
• Ability to re-edit previously made choices along the wizard.