Skip to main content

Insights

DoiT Insights is a recommendation service that helps you optimize cloud costs, enhance cloud infrastructure's security, and adopt best practices of FinOps and well-architected framework. It also tracks completed optimizations, fostering accountability within your organization and helping you understand your progress over time.

Insights categories​

DoiT Insights provides actionable recommendations in six categories:

  • FinOps: FinOps is a critical aspect of cloud operations. This category focuses on identifying cost optimization opportunities and helping organizations manage cloud costs.

  • Operational excellence: This category offers guidance on automation, monitoring, and governance to improve the operational health of cloud workloads and streamline processes and workflow.

  • Performance efficiency: This category focuses on efficiently using IT and computing resources and improving the speed and responsiveness of business-critical applications.

  • Reliability: This category focuses on enhancing system availability and fault tolerance, providing insights on workload distribution, load balancing, and resilient architectures.

  • Security: This category focuses on identifying security risks and recommending mitigation measures. It offers guidance on access control, encryption, identity management, and compliance with security standards.

  • Sustainability: This category promotes energy-efficient and sustainable resource usage to reduce waste and carbon footprint. It helps organizations run their workloads with energy efficiency.

Insights sources​

DoiT Insights offers both machine-generated and human-curated recommendations. In the DoiT console, they are identified by the source of the recommendations.

DoiT Cloud Intelligence​

Also known as automated insights, these are machine-generated recommendations. The DoiT platform leverages multiple mechanisms to generate automated insights, as explained below:

Data in the DoiT platform​

  • Cloud billing data: Insights generated using cloud billing data are refreshed daily. Billing data is typically collected over seven or more consecutive days, with the last day being three days prior to the current day to mitigate potential data latency issues.

  • BigQuery audit logs: BigQuery Lens insights are generated using BigQuery audit logs and are refreshed weekly. As BigQuery's usage profile generally does not change as frequently as billing data, the weekly frequency minimizes query costs while allowing pertinent recommendations.

Other recommendation systems​

  • AWS Trusted Advisor: AWS Trusted Advisor helps users optimize costs, increase performance, improve security and resilience, and operate at scale in the cloud. DoiT platform interacts with AWS Trusted Advisor API to access Trusted Advisor checks. See AWS insights from Trusted Advisor.

  • AWS Cost Optimization Hub: AWS Cost Optimization Hub allows users to easily identify, filter, and consolidate over 15 types of AWS cost optimization recommendations. DoiT platform interacts with AWS Cost Optimization Hub API to generate recommendations. See AWS insights from AWS Cost Optimization Hub.

  • Google Cloud recommender: Google Cloud Recommender provides usage recommendations for Google Cloud resources. DoiT platform queries the Google Cloud Recommender API at the billing account level. See Google Cloud insights from Recommender.

  • Microsoft Azure Advisor: Azure Advisor analyzes your resource configuration and usage telemetry to recommend solutions that help you improve the cost effectiveness, performance, reliability, and security of your Azure resources. DoiT platform interacts with Azure Advisor REST API to offer actionable recommendations in the DoiT console.

DoiT Experts​

Also known as custom insights, these are created by the DoiT expert team and tailored to your cloud environment.

While automated insights excel in speed, scalability, and consistency, custom insights bring contextual understanding, empathy, and creativity, adapting to complex situations. Together, they form a balanced and effective DoiT recommendation system.

Feature availability​

Insights available to you vary with your DoiT Cloud Intelligence plan and may also be subject to your plans with your service providers.

Custom insights​

To access custom insights created by the DoiT expert team, you must have an Essentials, Enhanced, or Enterprise DoiT Cloud Intelligence plan.

Automated insights​

To access automated insights, you must have an Enhanced or Enterprise DoiT Cloud Intelligence plan. You may need additional configurations or plans, depending on the source of the recommendations and insights.

See also

AWS Trusted Advisor insights​

To get AWS Trusted Advisor insights, you must meet all the following conditions:

  • You have an AWS Business, Enterprise On-Ramp, or Enterprise Support plan on your AWS account.

  • You have enabled the Trusted Advisor insights feature on all relevant AWS accounts linked to the DoiT platform (see link your AWS account). DoiT Insights checks recommendations only for accounts with the Trusted Advisor insights feature enabled.

AWS Cost Optimization Hub insights​

To get AWS Cost Optimization Hub insights, you must meet all the following conditions:

  • Your AWS accounts have opted in to both Cost Optimization Hub and AWS Compute Optimizer. Cost Optimization Hub imports cost optimization recommendations generated by multiple AWS services, including rightsizing recommendations from AWS Compute Optimizer.

  • You have enabled the Cost Optimization Hub insights feature on all relevant AWS accounts linked to the DoiT platform (see link your AWS account). DoiT Insights gets recommendations only for accounts with the Cost Optimization Hub insights feature enabled.

Google Cloud Recommender BigQuery export​

BigQuery Export collects recommendations on the organization level. To get insights from Google Cloud Recommender BigQuery export, you must meet all the following conditions:

  • You have configured the BigQuery export following the instructions to Export recommendations to BigQuery, including:

    • Enable the BigQuery Data Transfer Service to manage your data transfer.
    • Create a BigQuery dataset to store data and set up a data transfer for recommendations.

    Note that the current implementation of DoiT Insights doesn't support negotiated pricing for cost savings recommendations.

  • You have enabled the Insights from GCP Recommender BigQuery export feature when connecting the BigQuery dataset in the DoiT console.

Kubernetes insights​

To get insights on GKE clusters' credentials rotation, you must enable the Kubernetes insights feature when connecting the Google Cloud organization or project.

Microsoft Azure Advisor insights​

Beta

To get Azure Advisor insights, you must enable the Advisor insights feature on all relevant Azure subscriptions (see Enable Azure Advisor insights). DoiT Insights checks recommendations only for subscriptions with the Advisor insights feature enabled.

Last updated on